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Robert F. Engle

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-276, March.

    Mentioned in:

    1. La svalutazzzzzione sarà imprevedibile però sarà devastante (leggende metropolitane bipartisan)
      by Alberto Bagnai in Goofynomics on 2015-01-22 16:40:00
    2. ☆☆☆☆ Qu’est-ce qu’un modèle à correction d’erreur ?
      by contact@bsi-economics.org (BSI Economics) in BS Initiative on 2014-03-17 05:00:00
  2. Viral Acharya & Robert Engle & Matthew Richardson, 2012. "Capital Shortfall: A New Approach to Ranking and Regulating Systemic Risks," American Economic Review, American Economic Association, vol. 102(3), pages 59-64, May.

    Mentioned in:

    1. Brexit and Systemic Risk
      by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2016-07-04 16:50:46
    2. COVID-19 Stress Test
      by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2020-03-30 12:08:06
  3. Robert Engle & Bryan Kelly, 2011. "Dynamic Equicorrelation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 212-228, July.

    Mentioned in:

    1. Multivariate volatility forecasting (2)
      by Eran Raviv in Eran Raviv on 2015-08-29 01:29:22
  4. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.

    Mentioned in:

    1. DGP 2 (post ad personam): spettri e corbelli
      by Alberto Bagnai in Goofynomics on 2016-08-20 15:12:00
  5. Viral V. Acharya & Robert Engle & Diane Pierret, 2013. "Testing Macroprudential Stress Tests: The Risk of Regulatory Risk Weights," NBER Working Papers 18968, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. ECB AQR: Nervous Banks Make Banking Safer
      by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2014-05-16 00:07:35
    2. Tougher capital regulation pays off
      by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2018-03-19 11:31:29
    3. COVID-19 Stress Test
      by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2020-03-30 12:08:06
  6. Acharya, Viral & Engle, Robert & Pierret, Diane, 2014. "Testing macroprudential stress tests: The risk of regulatory risk weights," Journal of Monetary Economics, Elsevier, vol. 65(C), pages 36-53.

    Mentioned in:

    1. ECB AQR: Nervous Banks Make Banking Safer
      by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2014-05-16 00:07:35
    2. Tougher capital regulation pays off
      by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2018-03-19 11:31:29
    3. COVID-19 Stress Test
      by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2020-03-30 12:08:06
  7. Christian Brownlees & Robert F. Engle, 2017. "SRISK: A Conditional Capital Shortfall Measure of Systemic Risk," The Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 48-79.

    Mentioned in:

    1. Size is Overrated
      by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2018-03-26 12:06:49
  8. Robert F Engle & Stefano Giglio & Bryan Kelly & Heebum Lee & Johannes Stroebel, 2020. "Hedging Climate Change News," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1184-1216.

    Mentioned in:

    1. Climate Finance
      by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2021-05-31 11:38:10

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-276, March.

    Mentioned in:

    1. > Econometrics > Time Series Models > VAR Models
  2. Engle, Robert F. & Yoo, Byung Sam, 1987. "Forecasting and testing in co-integrated systems," Journal of Econometrics, Elsevier, vol. 35(1), pages 143-159, May.

    Mentioned in:

    1. > Econometrics > Forecasting
  3. Watson, Mark W. & Engle, Robert F., 1983. "Alternative algorithms for the estimation of dynamic factor, mimic and varying coefficient regression models," Journal of Econometrics, Elsevier, vol. 23(3), pages 385-400, December.

    Mentioned in:

    1. > Econometrics > Time Series Models > Dynamic Factor Models

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Robert Engle, 2002. "New frontiers for arch models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 425-446.

    Mentioned in:

    1. New frontiers for arch models (Journal of Applied Econometrics 2002) in ReplicationWiki ()
  2. Author Profile
    1. Робърт Енгъл in Wikipedia (Bulgarian)
    2. Robert F. Engle in Wikipedia (Vietnamese)
    3. ロバート・エングル in Wikipedia (Japanese)
    4. Robert F. Engle in Wikipedia (Indonesian)
    5. Robert Engle in Wikipedia (Dutch)
    6. Robert F. Engle in Wikipedia (Norwegian)
    7. Joseph Stiglitz in Wikipedia (Vietnamese)
    8. Роберт Енгл in Wikipedia (Macedonian)

Working papers

  1. Viral V Acharya & Richard Berner & Robert Engle & Hyeyoon Jung & Johannes Stroebel & Xuran Zeng & Yihao Zhao, 2023. "Climate Stress Testing," CESifo Working Paper Series 10345, CESifo.
    • Viral V. Acharya & Richard Berner & Robert F. Engle III & Hyeyoon Jung & Johannes Stroebel & Xuran Zeng & Yihao Zhao, 2023. "Climate Stress Testing," NBER Working Papers 31097, National Bureau of Economic Research, Inc.
    • Viral V. Acharya & Richard Berner & Robert Engle & Hyeyoon Jung & Johannes Stroebel & Xuran Zeng & Yihao Zhao, 2023. "Climate Stress Testing," Staff Reports 1059, Federal Reserve Bank of New York.

    Cited by:

    1. Angelidis, Timotheos & Sakkas, Athanasios & Spiliotopoulos, George, 2023. "Climate uncertainty and marginal climate capital needs," Finance Research Letters, Elsevier, vol. 56(C).
    2. Stefano Carattini & Giseong Kim & Givi Melkadze & Aude Pommeret, 2023. "Carbon Taxes and Tariffs, Financial Frictions, and International Spillovers," CESifo Working Paper Series 10851, CESifo.

  2. Acharya, Viral & Engle, Robert & Steffen, Sascha, 2021. "Why did bank stocks crash during COVID-19?," CEPR Discussion Papers 15901, C.E.P.R. Discussion Papers.

    Cited by:

    1. Judit Temesvary & Andrew Wei, 2021. "Domestic Lending and the Pandemic: How Does Banks' Exposure to Covid-19 Abroad Affect Their Lending in the United States?," Finance and Economics Discussion Series 2021-056r1, Board of Governors of the Federal Reserve System (U.S.), revised 17 Nov 2021.
    2. Gao, Jingyi, 2022. "Has COVID-19 hindered small business activities? The role of Fintech," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 297-308.
    3. Segura, Anatoli & Villacorta, Alonso, 2023. "Firm-bank linkages and optimal policies after a rare disaster," Journal of Financial Economics, Elsevier, vol. 149(2), pages 296-322.
    4. Li, Xiang, 2022. "The role of state-owned banks in crises: Evidence from German banks during COVID-19," IWH Discussion Papers 6/2022, Halle Institute for Economic Research (IWH), revised 2022.
    5. Berger,Allen N.,Demirguc-Kunt,Asli, 2021. "Banking Research in the Time of COVID-19," Policy Research Working Paper Series 9782, The World Bank.
    6. Chavleishvili, Sulkhan & Kremer, Manfred & Lund-Thomsen, Frederik, 2023. "Quantifying financial stability trade-offs for monetary policy: a quantile VAR approach," Working Paper Series 2833, European Central Bank.
    7. Leonardo Bonilla-Mejía & Mauricio Villamizar-Villegas, 2022. "The Leading Role of Bank Supply Shocks," Borradores de Economia 1205, Banco de la Republica de Colombia.
    8. Omrane Guedhami & April Knill & William L. Megginson & Lemma W. Senbet, 2022. "The dark side of globalization: Evidence from the impact of COVID-19 on multinational companies," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(8), pages 1603-1640, October.
    9. Marco Pagano & Josef Zechner, 2022. "COVID-19 and Corporate Finance," CSEF Working Papers 651, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    10. Acharya, Viral & Engle, Robert & Steffen, Sascha, 2021. "Why did bank stocks crash during COVID-19?," CEPR Discussion Papers 15901, C.E.P.R. Discussion Papers.
    11. Cong Ma & Mui Yee Cheok, 2023. "Relationship among Covid-19, stock price and green finance markets pragmatic evidence from volatility dynamics," Economic Change and Restructuring, Springer, vol. 56(1), pages 265-295, February.
    12. Demirguc-Kunt,Asli & Pedraza Morales,Alvaro Enrique & Ruiz Ortega,Claudia, 2020. "Banking Sector Performance During the COVID-19 Crisis," Policy Research Working Paper Series 9363, The World Bank.
    13. Bales, Stephan, 2022. "Sovereign and bank dependence in the eurozone: A multi-scale approach using wavelet-network analysis," International Review of Financial Analysis, Elsevier, vol. 83(C).
    14. Simoens, Mathieu & Vander Vennet, Rudi, 2022. "Does diversification protect European banks’ market valuations in a pandemic?," Finance Research Letters, Elsevier, vol. 44(C).
    15. Mathur, Aakriti & Naylor, Matthew & Rajan, Aniruddha, 2023. "Useful, usable, and used? Buffer usability during the Covid-19 crisis," Bank of England working papers 1011, Bank of England.
    16. Anna Burova & Danila Karpov & Denis Koshelev, 2023. "Decomposition of Corporate Credit Growth Using Granular Data," Bank of Russia Working Paper Series wps119, Bank of Russia.
    17. Dr. Martin Indergand & Eric Jondeau & Dr. Andreas Fuster, 2022. "Measuring and stress-testing market-implied bank capital," Working Papers 2022-02, Swiss National Bank.
    18. Paul Pelzl & María Teresa, 2023. "Capital Regulations and the Management of Credit Commitments during Crisis Times," Review of Finance, European Finance Association, vol. 27(5), pages 1781-1821.
    19. Alessio Tomelleri & Anna Gloria Billé, 2023. "Do micro-enterprises ask for local support measures? Evidence after the COVID-19 pandemic," FBK-IRVAPP Working Papers 2023-04, Research Institute for the Evaluation of Public Policies (IRVAPP), Bruno Kessler Foundation.
    20. Pancotto, Livia & ap Gwilym, Owain & Molyneux, Philip, 2023. "Deal! Market reactions to the agreement on the EU Covid-19 recovery fund," Journal of Financial Stability, Elsevier, vol. 67(C).
    21. Bales, Stephan & Burghartz, Kaspar & Burghof, Hans-Peter & Hitz, Lukas, 2023. "Does the source of uncertainty matter? The impact of financial, newspaper and Twitter-based measures on U.S. banks," Research in International Business and Finance, Elsevier, vol. 65(C).
    22. Bo Becker & Efraim Benmelech, 2021. "The Resilience of the U.S. Corporate Bond Market During Financial Crises," NBER Working Papers 28868, National Bureau of Economic Research, Inc.
    23. John, Kose & Li, Jingrui, 2021. "COVID-19, volatility dynamics, and sentiment trading," Journal of Banking & Finance, Elsevier, vol. 133(C).
    24. Hossain, Ashrafee T. & Masum, Abdullah-Al & Xu, Jian, 2023. "COVID-19, a blessing in disguise for the Tech sector: Evidence from stock price crash risk," Research in International Business and Finance, Elsevier, vol. 65(C).
    25. Md. Mominur Rahman, 2023. "The Effect of Business Intelligence on Bank Operational Efficiency and Perceptions of Profitability," FinTech, MDPI, vol. 2(1), pages 1-21, February.
    26. Nina Boyarchenko & Caren Cox & Richard K. Crump & Andrew Danzig & Anna Kovner & Or Shachar & Patrick Steiner, 2022. "The Primary and Secondary Corporate Credit Facilities," Economic Policy Review, Federal Reserve Bank of New York, vol. 28(1), July.
    27. Mary C. Daly, 2021. "The Last Resort in a Changing Landscape," Speech 91338, Federal Reserve Bank of San Francisco.
    28. Nina Boyarchenko & Caren Cox & Richard K. Crump & Andrew Danzig & Anna Kovner & Or Shachar & Patrick Steiner, 2021. "COVID Response: The Primary and Secondary Corporate Credit Facilities," Staff Reports 986, Federal Reserve Bank of New York.

  3. Chavleishvili, Sulkhan & Engle, Robert F. & Fahr, Stephan & Kremer, Manfred & Manganelli, Simone & Schwaab, Bernd, 2021. "The risk management approach to macro-prudential policy," Working Paper Series 2565, European Central Bank.

    Cited by:

    1. Tihana Skrinjaric & Maja Sabol, 2024. "Easier Said than Done: Predicting Downside Risks to House Prices in Croatia," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 74(1), pages 43-72, March.
    2. Chavleishvili, Sulkhan & Kremer, Manfred & Lund-Thomsen, Frederik, 2023. "Quantifying financial stability trade-offs for monetary policy: a quantile VAR approach," Working Paper Series 2833, European Central Bank.
    3. Tihana Škrinjarić, 2023. "Macroprudential stance assessment: problems of measurement, literature review and some comments for the case of Croatia," Working Papers 72, The Croatian National Bank, Croatia.
    4. Shuffield Seyram Asafo & Michal Moszynski, 2022. "The combined effects of monetary and macroprudential policies," SN Business & Economics, Springer, vol. 2(9), pages 1-20, September.
    5. Kremer, Manfred & Chavleishvili, Sulkhan, 2021. "Measuring Systemic Financial Stress and its Impact on the Macroeconomy," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242346, Verein für Socialpolitik / German Economic Association.
    6. Chavleishvili, Sulkhan & Fahr, Stephan & Kremer, Manfred & Manganelli, Simone & Schwaab, Bernd, 2021. "A novel risk management perspective for macroprudential policy," Research Bulletin, European Central Bank, vol. 87.
    7. Sulkhan Chavleishvili & Simone Manganelli, 2024. "Forecasting and stress testing with quantile vector autoregression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 66-85, January.
    8. Chavleishvili, Sulkhan & Kremer, Manfred, 2023. "Measuring systemic financial stress and its risks for growth," Working Paper Series 2842, European Central Bank.
    9. Kirstin Hubrich & Daniel F. Waggoner, 2022. "The Transmission of Financial Shocks and Leverage of Financial Institutions: An Endogenous Regime-Switching Framework," FRB Atlanta Working Paper 2022-5, Federal Reserve Bank of Atlanta.
    10. Bochmann, Paul & Dieckelmann, Daniel & Fahr, Stephan & Ruzicka, Josef, 2023. "Financial stability considerations in the conduct of monetary policy," Working Paper Series 2870, European Central Bank.

  4. Richard Berner & Robert Engle & Hyeyoon Jung, 2021. "CRISK: Measuring the Climate Risk Exposure of the Financial System," Staff Reports 977, Federal Reserve Bank of New York.

    Cited by:

    1. Laura Bakkensen & Toan Phan & Russell Wong, 2023. "Leveraging the Disagreement on Climate Change: Theory and Evidence," Working Paper 23-01, Federal Reserve Bank of Richmond.
    2. Breckenfelder, Johannes & Maćkowiak, Bartosz & Marqués-Ibáñez, David & Olovsson, Conny & Popov, Alexander & Porcellacchia, Davide & Schepens, Glenn, 2023. "The climate and the economy," Working Paper Series 2793, European Central Bank.
    3. Giulia Bettin & Gian Marco Mensi & Maria Cristina Recchioni, 2023. "Multifactor Risk Attribution Applied to Systemic, Climate and Geopolitical Tail Risks for the Eurozone Banking Sector," Risks, MDPI, vol. 11(10), pages 1-26, September.

  5. Gianluca De Nard & Robert F. Engle & Olivier Ledoit & Michael Wolf, 2020. "Large dynamic covariance matrices: enhancements based on intraday data," ECON - Working Papers 356, Department of Economics - University of Zurich, revised Jan 2022.

    Cited by:

    1. Gianluca De Nard & Robert F. Engle & Bryan Kelly, 2023. "Factor mimicking portfolios for climate risk," ECON - Working Papers 429, Department of Economics - University of Zurich, revised Mar 2024.
    2. Bongiorno, Christian & Challet, Damien, 2023. "Non-linear shrinkage of the price return covariance matrix is far from optimal for portfolio optimization," Finance Research Letters, Elsevier, vol. 52(C).
    3. Anatolyev, Stanislav & Pyrlik, Vladimir, 2022. "Copula shrinkage and portfolio allocation in ultra-high dimensions," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    4. Wenyang Huang & Huiwen Wang & Shanshan Wang, 2021. "Dimension reduction of open-high-low-close data in candlestick chart based on pseudo-PCA," Papers 2103.16908, arXiv.org.
    5. Fiszeder, Piotr & Fałdziński, Marcin & Molnár, Peter, 2023. "Attention to oil prices and its impact on the oil, gold and stock markets and their covariance," Energy Economics, Elsevier, vol. 120(C).
    6. Rafael Alves & Diego S. de Brito & Marcelo C. Medeiros & Ruy M. Ribeiro, 2023. "Forecasting Large Realized Covariance Matrices: The Benefits of Factor Models and Shrinkage," Papers 2303.16151, arXiv.org.
    7. De Nard, Gianluca & Zhao, Zhao, 2023. "Using, taming or avoiding the factor zoo? A double-shrinkage estimator for covariance matrices," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 23-35.
    8. Bucci, Andrea & Palomba, Giulio & Rossi, Eduardo, 2023. "The role of uncertainty in forecasting volatility comovements across stock markets," Economic Modelling, Elsevier, vol. 125(C).
    9. Fiszeder, Piotr & Fałdziński, Marcin & Molnár, Peter, 2023. "Modeling and forecasting dynamic conditional correlations with opening, high, low, and closing prices," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 308-321.

  6. Robert F. Engle & Susana Campos-Martins, 2020. "Measuring and Hedging Geopolitical Risk," NIPE Working Papers 08/2020, NIPE - Universidade do Minho.

    Cited by:

    1. Hafner, Christian M. & Herwartz, Helmut, 2022. "Dynamic score driven independent component analysis," LIDAM Reprints ISBA 2022010, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    2. Miaozhi Yu & Na Wang, 2023. "The Influence of Geopolitical Risk on International Direct Investment and Its Countermeasures," Sustainability, MDPI, vol. 15(3), pages 1-14, January.
    3. Chen, Jinyu & Wang, Yilin & Ren, Xiaohang, 2023. "Asymmetric effect of financial stress on China’s precious metals market: Evidence from a quantile-on-quantile regression," Research in International Business and Finance, Elsevier, vol. 64(C).
    4. Saâdaoui, Foued & Ben Jabeur, Sami & Goodell, John W., 2022. "Causality of geopolitical risk on food prices: Considering the Russo–Ukrainian conflict," Finance Research Letters, Elsevier, vol. 49(C).
    5. Shihai Wu & Yili Zhang & Jianzhong Yan, 2022. "Comprehensive Assessment of Geopolitical Risk in the Himalayan Region Based on the Grid Scale," Sustainability, MDPI, vol. 14(15), pages 1-20, August.
    6. Dudda, Tom L. & Klein, Tony & Nguyen, Duc Khuong & Walther, Thomas, 2022. "Common Drivers of Commodity Futures?," QBS Working Paper Series 2022/05, Queen's University Belfast, Queen's Business School.
    7. Eghbal Rahimikia & Stefan Zohren & Ser-Huang Poon, 2021. "Realised Volatility Forecasting: Machine Learning via Financial Word Embedding," Papers 2108.00480, arXiv.org, revised Mar 2023.
    8. Kumar, Pawan & Singh, Vipul Kumar, 2022. "Systemic spillover dynamics of crude oil with Indian Financial indicators in post WPI revision and COVID era," Resources Policy, Elsevier, vol. 77(C).

  7. Robert Engle & Stefano Giglio & Heebum Lee & Bryan Kelly & Johannes Stroebel, 2019. "Hedging climate change news," CESifo Working Paper Series 7655, CESifo.

    Cited by:

    1. Bua, Giovanna & Kapp, Daniel & Ramella, Federico & Rognone, Lavinia, 2022. "Transition versus physical climate risk pricing in European financial markets: a text-based approach," Working Paper Series 2677, European Central Bank.
    2. Bofinger, Yannik & Heyden, Kim J. & Rock, Björn, 2022. "Corporate social responsibility and market efficiency: Evidence from ESG and misvaluation measures," Journal of Banking & Finance, Elsevier, vol. 134(C).
    3. Alessi, Lucia & Elisa, Ossola & Panzica, Roberto, 2021. "When do investors go green? Evidence from a time-varying asset-pricing model," Working Papers 2021-13, Joint Research Centre, European Commission.
    4. Rustam Jamilov & Helene Rey & Ahmed Tahoun, 2023. "The Anatomy of Cyber Risk," Working Papers Series inetwp206, Institute for New Economic Thinking.
    5. Miriam Breitenstein & Duc Khuong Nguyen & Thomas Walther, 2019. "Environmental Hazards and Risk Management in the Financial Sector: A Systematic Literature Review," Working Papers on Finance 1910, University of St. Gallen, School of Finance.
    6. Shanghui Jia & Xinhui Chen & Liyan Han & Jiayu Jin, 2023. "Global climate change and commodity markets: A hedging perspective," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(10), pages 1393-1422, October.
    7. Bradford Cornell, 2021. "ESG preferences, risk and return," European Financial Management, European Financial Management Association, vol. 27(1), pages 12-19, January.
    8. Bernard, René & Tzamourani, Panagiota & Weber, Michael, 2022. "Climate Change and Individual Behavior," EconStor Research Reports 253548, ZBW - Leibniz Information Centre for Economics.
    9. Joëlle Noailly ; Laura Nowzohour; Matthias van den Heuvel, 2022. "Does Environmental Policy Uncertainty Hinder Investments Towards a Low-Carbon Economy?," CIES Research Paper series 74-2022, Centre for International Environmental Studies, The Graduate Institute.
    10. Stephie Fried & Kevin Novan & William B. Peterman, 2022. "Climate Policy Transition Risk and the Macroeconomy," Working Paper Series 2021-06, Federal Reserve Bank of San Francisco.
    11. Lubos Pastor & Robert F. Stambaugh & Lucian A. Taylor, 2019. "Sustainable Investing in Equilibrium," NBER Working Papers 26549, National Bureau of Economic Research, Inc.
    12. Leland Bybee & Bryan T. Kelly & Asaf Manela & Dacheng Xiu, 2020. "The Structure of Economic News," NBER Working Papers 26648, National Bureau of Economic Research, Inc.
    13. Dong Ding & Bin Liu & Millicent Chang, 2023. "Carbon Emissions and TCFD Aligned Climate-Related Information Disclosures," Journal of Business Ethics, Springer, vol. 182(4), pages 967-1001, February.
    14. Gianluca De Nard & Robert F. Engle & Bryan Kelly, 2023. "Factor mimicking portfolios for climate risk," ECON - Working Papers 429, Department of Economics - University of Zurich, revised Mar 2024.
    15. Reboredo, Juan C. & Ugolini, Andrea, 2022. "Climate transition risk, profitability and stock prices," International Review of Financial Analysis, Elsevier, vol. 83(C).
    16. Lucia Alessi & Elisa, Ossola & Roberto Panzica, 2019. "The Greenium matters: greenhouse gas emissions, environmental disclosures, and stock prices," Working Papers 418, University of Milano-Bicocca, Department of Economics, revised Apr 2020.
    17. Pietsch, Allegra & Salakhova, Dilyara, 2022. "Pricing of green bonds: drivers and dynamics of the greenium," Working Paper Series 2728, European Central Bank.
    18. Yan, Wan-Lin & Cheung, Adrian (Wai Kong), 2023. "The dynamic spillover effects of climate policy uncertainty and coal price on carbon price: Evidence from China," Finance Research Letters, Elsevier, vol. 53(C).
    19. Karmakar, Sayar & Gupta, Rangan & Cepni, Oguzhan & Rognone, Lavinia, 2023. "Climate risks and predictability of the trading volume of gold: Evidence from an INGARCH model," Resources Policy, Elsevier, vol. 82(C).
    20. He, Mengxi & Zhang, Yaojie, 2022. "Climate policy uncertainty and the stock return predictability of the oil industry," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    21. Hao, Jing & Xiong, Xiong, 2021. "Retail investor attention and firms' idiosyncratic risk: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 74(C).
    22. Laeven, Luc & Popov, Alexander, 2023. "Carbon taxes and the geography of fossil lending," Journal of International Economics, Elsevier, vol. 144(C).
    23. Ding, Hao & Ji, Qiang & Ma, Rufei & Zhai, Pengxiang, 2022. "High-carbon screening out: A DCC-MIDAS-climate policy risk method," Finance Research Letters, Elsevier, vol. 47(PA).
    24. Stefano Giglio & Bryan Kelly & Johannes Stroebel, 2020. "Climate Finance," CESifo Working Paper Series 8772, CESifo.
    25. Meinerding, Christoph & Schüler, Yves S. & Zhang, Philipp, 2023. "Shocks to transition risk," Discussion Papers 04/2023, Deutsche Bundesbank.
    26. Carè, R. & Weber, O., 2023. "How much finance is in climate finance? A bibliometric review, critiques, and future research directions," Research in International Business and Finance, Elsevier, vol. 64(C).
    27. Philippe Loyson & Rianne Luijendijk & Sweder van Wijnbergen, 2023. "The pricing of climate transition risk in Europe’s equity market," Working Papers 788, DNB.
    28. Rabeh Khalfaoui & Salma Mefteh-Wali & Jean-Laurent Viviani & Sami Ben Jabeur & Mohammad Zoynul Abedin & Brian Lucey, 2022. "How do climate risk and clean energy spillovers, and uncertainty affect U.S. stock markets?," Post-Print hal-03797937, HAL.
    29. Felix Kapfhammer & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "Climate Risk and Commodity Currencies," Working Papers No 10/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    30. Duc Duy Nguyen & Steven Ongena & Shusen Qi & Vathunyoo Sila, 2020. "Climate Change Risk and the Costs of Mortgage Credit," Swiss Finance Institute Research Paper Series 20-97, Swiss Finance Institute.
    31. Mbanyele, William & Muchenje, Linda Tinofirei, 2022. "Climate change exposure, risk management and corporate social responsibility: Cross-country evidence," Journal of Multinational Financial Management, Elsevier, vol. 66(C).
    32. Ekici, Filiz & Orhan, Gamze & Gümüş, Öner & Bahce, Abdullah Burhan, 2022. "A policy on the externality problem and solution suggestions in air transportation: The environment and sustainability," Energy, Elsevier, vol. 258(C).
    33. Bolton, Patrick & Kacperczyk, Marcin, 2021. "Do investors care about carbon risk?," Journal of Financial Economics, Elsevier, vol. 142(2), pages 517-549.
    34. Tzouvanas, Panagiotis & Mamatzakis, Emmanuel C., 2021. "Does it pay to invest in environmental stocks?," International Review of Financial Analysis, Elsevier, vol. 77(C).
    35. Zhu, Bo & Hu, Xin & Deng, Yuanyue & Zhang, Bokai & Li, Xiru, 2023. "The differential effects of climate risks on non-fossil and fossil fuel stock markets: Evidence from China," Finance Research Letters, Elsevier, vol. 55(PB).
    36. Kakuho Furukawa & Hibiki Ichiue & Noriyuki Shiraki, 2020. "How Does Climate Change Interact with the Financial System? A Survey," Bank of Japan Working Paper Series 20-E-8, Bank of Japan.
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    294. Foglia, Matteo & Addi, Abdelhamid & Angelini, Eliana, 2022. "The Eurozone banking sector in the time of COVID-19: Measuring volatility connectedness," Global Finance Journal, Elsevier, vol. 51(C).
    295. Cai, Jian & Eidam, Frederik & Saunders, Anthony & Steffen, Sascha, 2018. "Syndication, interconnectedness, and systemic risk," Journal of Financial Stability, Elsevier, vol. 34(C), pages 105-120.
    296. Füss, Roland & Ruf, Daniel, 2021. "Bank systemic risk exposure and office market interconnectedness," Journal of Banking & Finance, Elsevier, vol. 133(C).
    297. Guðmundsson, Guðmundur Stefán & Brownlees, Christian, 2021. "Detecting groups in large vector autoregressions," Journal of Econometrics, Elsevier, vol. 225(1), pages 2-26.
    298. Laura Garcia-Jorcano & Lidia Sanchis-Marco, 2023. "Measuring Systemic Risk Using Multivariate Quantile-Located ES Models," Journal of Financial Econometrics, Oxford University Press, vol. 21(1), pages 1-72.
    299. Lei Chen & Hui Li & Frank Hong Liu & Yue Zhou, 2021. "Bank regulation and systemic risk: cross country evidence," Review of Quantitative Finance and Accounting, Springer, vol. 57(1), pages 353-387, July.
    300. Engle, Robert F. & Emambakhsh, Tina & Manganelli, Simone & Parisi, Laura & Pizzeghello, Riccardo, 2023. "Estimating systemic risk for non-listed euro-area banks," Working Paper Series 2856, European Central Bank.
    301. Alin Marius Andrieş & Simona Nistor, 2018. "Systemic Risk and Foreign Currency Positions of Banks: Evidence from Emerging Europe," Eastern European Economics, Taylor & Francis Journals, vol. 56(5), pages 382-421, September.
    302. Antonio Di Cesare & Anna Rogantini Picco, 2018. "A Survey of Systemic Risk Indicators," Questioni di Economia e Finanza (Occasional Papers) 458, Bank of Italy, Economic Research and International Relations Area.
    303. Sharif Mazumder & Louis R. Piccotti, 2023. "Systemic Risk: Bank Characteristics Matter," Journal of Financial Services Research, Springer;Western Finance Association, vol. 64(2), pages 265-301, October.
    304. Ling, Aifan & Li, Jinlong & Zhang, Yugui, 2023. "Can firms with higher ESG ratings bear higher bank systemic tail risk spillover?—Evidence from Chinese A-share market," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    305. Curcio, Domenico & Gianfrancesco, Igor & Vioto, Davide, 2023. "Climate change and financial systemic risk: Evidence from US banks and insurers," Journal of Financial Stability, Elsevier, vol. 66(C).
    306. Covi, Giovanni & Brookes, James & Raja, Charumathi, 2022. "Measuring Capital at Risk in the UK banking sector: a microstructural network approach," Bank of England working papers 983, Bank of England.
    307. Mikhail I. Stolbov & Maria A. Shchepeleva & Alexander M. Karminsky, 2021. "A global perspective on macroprudential policy interaction with systemic risk, real economic activity, and monetary intervention," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-25, December.
    308. Elena Goldman & Xiangjin Shen, 2018. "Analysis of Asymmetric GARCH Volatility Models with Applications to Margin Measurement," Staff Working Papers 18-21, Bank of Canada.
    309. Shushi, Tomer & Yao, Jing, 2020. "Multivariate risk measures based on conditional expectation and systemic risk for Exponential Dispersion Models," Insurance: Mathematics and Economics, Elsevier, vol. 93(C), pages 178-186.
    310. Yannick Hoga, 2023. "The Estimation Risk in Extreme Systemic Risk Forecasts," Papers 2304.10349, arXiv.org.
    311. Xiaoyu Liu & Xiaoli Chen, 2021. "Can “Concerted” Macroprudential Policies Mitigate Cross‐border Contagion of Financial Risks? Evidence from China and Its Financially Connected Economies," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 29(3), pages 26-54, May.
    312. Markus K. Brunnermeier & Patrick Cheridito, 2019. "Measuring and Allocating Systemic Risk," Risks, MDPI, vol. 7(2), pages 1-19, April.
    313. Rüdiger Frey & Juraj Hledik, 2018. "Diversification and Systemic Risk: A Financial Network Perspective," Risks, MDPI, vol. 6(2), pages 1-11, May.
    314. M. Zulkifli Salim & Kevin Daly, 2021. "Modelling Systemically Important Banks vis-à-vis the Basel Prudential Guidelines," JRFM, MDPI, vol. 14(7), pages 1-20, June.
    315. Tristan Jourde, 2022. "The rising interconnectedness of the insurance sector," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(2), pages 397-425, June.
    316. Nils Bertschinger & Oliver Pfante, 2020. "Early Warning Signs of Financial Market Turmoils," JRFM, MDPI, vol. 13(12), pages 1-24, November.
    317. Huang, Qiubin & de Haan, Jakob & Scholtens, Bert, 2020. "Does bank capitalization matter for bank stock returns?," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    318. Li, Yanshuang & Zhuang, Xintian & Wang, Jian, 2021. "Analysis of the cross-region risk contagion effect in stock market based on volatility spillover networks: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    319. Li Wang, 2019. "The Risk Spillover Effects of Securities Companies in China’s Capital Market with the CoVaR Method," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 9(3), pages 1-7.
    320. Wen, Bohui & Bi, ShaSha & Yuan, Ming & Hao, Jing, 2023. "Financial constraint, cross-sectoral spillover and systemic risk in China," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 1-11.
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  9. Fabrizio Cipollini & Robert F. Engle & Giampiero M. Gallo, 2017. "Copula-based vMEM Specifications versus Alternatives: The Case of Trading Activity," Econometrics Working Papers Archive 2017_02, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".

    Cited by:

    1. Fabrizio Cipollini & Giampiero M. Gallo, 2021. "Multiplicative Error Models: 20 years on," Papers 2107.05923, arXiv.org.
    2. E. Otranto, 2024. "A Vector Multiplicative Error Model with Spillover Effects and Co-movements," Working Paper CRENoS 202404, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    3. Robert Engle & Michael J. Fleming & Eric Ghysels & Giang Nguyen, 2012. "Liquidity and volatility in the U.S. treasury market," Staff Reports 590, Federal Reserve Bank of New York.
    4. Cattivelli, Luca & Pirino, Davide, 2019. "A SHARP model of bid–ask spread forecasts," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1211-1225.
    5. Cipollini, Fabrizio & Gallo, Giampiero M., 2019. "Modeling Euro STOXX 50 volatility with common and market-specific components," Econometrics and Statistics, Elsevier, vol. 11(C), pages 22-42.
    6. Carol Alexander & Daniel Heck & Andreas Kaeck, 2021. "The Role of Binance in Bitcoin Volatility Transmission," Papers 2107.00298, arXiv.org, revised Aug 2021.

  10. Robert F. Engle & Olivier Ledoit & Michael Wolf, 2016. "Large dynamic covariance matrices," ECON - Working Papers 231, Department of Economics - University of Zurich, revised Apr 2017.

    Cited by:

    1. Hautsch, Nikolaus & Voigt, Stefan, 2017. "Large-scale portfolio allocation under transaction costs and model uncertainty," CFS Working Paper Series 582, Center for Financial Studies (CFS).
    2. Zhao Zhao & Olivier Ledoit & Hui Jiang, 2019. "Risk reduction and efficiency increase in large portfolios: leverage and shrinkage," ECON - Working Papers 328, Department of Economics - University of Zurich, revised Jan 2020.
    3. Carlos Trucíos & Mauricio Zevallos & Luiz K. Hotta & André A. P. Santos, 2019. "Covariance Prediction in Large Portfolio Allocation," Econometrics, MDPI, vol. 7(2), pages 1-24, May.
    4. Jian Zhang & Jie Li, 2022. "Factorized estimation of high‐dimensional nonparametric covariance models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(2), pages 542-567, June.
    5. Hallin, Marc & Trucíos, Carlos, 2023. "Forecasting value-at-risk and expected shortfall in large portfolios: A general dynamic factor model approach," Econometrics and Statistics, Elsevier, vol. 27(C), pages 1-15.
    6. Olivier Ledoit & Michael Wolf, 2016. "Numerical implementation of the QuEST function," ECON - Working Papers 215, Department of Economics - University of Zurich, revised Jan 2017.
    7. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hallin, Marc & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Zevallos, Mauricio, 2019. "Forecasting conditional covariance matrices in high-dimensional time series: a general dynamic factor approach," Textos para discussão 505, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    8. D’Hondt, Catherine & De Winne, Rudy & Ghysels, Eric & Raymond, Steve, 2020. "Artificial Intelligence Alter Egos: Who might benefit from robo-investing?," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 278-299.
    9. Xiaoning Kang & Xinwei Deng & Kam‐Wah Tsui & Mohsen Pourahmadi, 2020. "On variable ordination of modified Cholesky decomposition for estimating time‐varying covariance matrices," International Statistical Review, International Statistical Institute, vol. 88(3), pages 616-641, December.
    10. Sama Haddad, 2023. "Global Financial Market Integration: A Literature Survey," JRFM, MDPI, vol. 16(12), pages 1-27, November.
    11. Olivier Ledoit & Michael Wolf, 2019. "Quadratic shrinkage for large covariance matrices," ECON - Working Papers 335, Department of Economics - University of Zurich, revised Dec 2020.
    12. Qiao, W. & Bu, D. & Gibberd, A. & Liao, Y. & Wen, T. & Li, E., 2023. "When “time varying” volatility meets “transaction cost” in portfolio selection," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 220-237.
    13. Ilya Archakov & Peter Reinhard Hansen & Asger Lunde, 2020. "A Multivariate Realized GARCH Model," Papers 2012.02708, arXiv.org.
    14. Francq, Christian & Zakoian, Jean-Michel, 2019. "Virtual Historical Simulation for estimating the conditional VaR of large portfolios," MPRA Paper 95965, University Library of Munich, Germany.
    15. Gianluca De Nard & Robert F. Engle & Bryan Kelly, 2023. "Factor mimicking portfolios for climate risk," ECON - Working Papers 429, Department of Economics - University of Zurich, revised Mar 2024.
    16. Raddant, Matthias & Kenett, Dror, 2016. "Interconnectedness in the global financial market," VfS Annual Conference 2016 (Augsburg): Demographic Change 145560, Verein für Socialpolitik / German Economic Association.
    17. Olivier Ledoit & Michael Wolf, 2019. "The power of (non-)linear shrinking: a review and guide to covariance matrix estimation," ECON - Working Papers 323, Department of Economics - University of Zurich, revised Feb 2020.
    18. Jilber Urbina & Miguel Santolino & Montserrat Guillen, 2021. "Covariance Principle for Capital Allocation: A Time-Varying Approach," Mathematics, MDPI, vol. 9(16), pages 1-13, August.
    19. Sven Husmann & Antoniya Shivarova & Rick Steinert, 2019. "Sparsity and Stability for Minimum-Variance Portfolios," Papers 1910.11840, arXiv.org.
    20. Kawakatsu Hiroyuki, 2021. "Simple Multivariate Conditional Covariance Dynamics Using Hyperbolically Weighted Moving Averages," Journal of Econometric Methods, De Gruyter, vol. 10(1), pages 33-52, January.
    21. Tae-Hwy Lee & Millie Yi Mao & Aman Ullah, 2021. "Estimation of high-dimensional dynamic conditional precision matrices with an application to forecast combination," Econometric Reviews, Taylor & Francis Journals, vol. 40(10), pages 905-918, November.
    22. Ledoit, Olivier & Wolf, Michael, 2021. "Shrinkage estimation of large covariance matrices: Keep it simple, statistician?," Journal of Multivariate Analysis, Elsevier, vol. 186(C).
    23. Pietro Coretto & Michele La Rocca & Giuseppe Storti, 2020. "Improving Many Volatility Forecasts Using Cross-Sectional Volatility Clusters," JRFM, MDPI, vol. 13(4), pages 1-23, March.
    24. Christian Bongiorno & Damien Challet, 2020. "Reactive Global Minimum Variance Portfolios with $k-$BAHC covariance cleaning," Papers 2005.08703, arXiv.org, revised Mar 2023.
    25. Niels S. Grønborg & Asger Lunde & Kasper V. Olesen & Harry Vander Elst, 2018. "Realizing Correlations Across Asset Classes," CREATES Research Papers 2018-37, Department of Economics and Business Economics, Aarhus University.
    26. De Nard, Gianluca & Engle, Robert F. & Ledoit, Olivier & Wolf, Michael, 2022. "Large dynamic covariance matrices: Enhancements based on intraday data," Journal of Banking & Finance, Elsevier, vol. 138(C).
    27. Olivier Ledoit & Michael Wolf, 2019. "Shrinkage estimation of large covariance matrices: keep it simple, statistician?," ECON - Working Papers 327, Department of Economics - University of Zurich, revised Jun 2021.
    28. Nikan Firoozye & Vincent Tan & Stefan Zohren, 2022. "Canonical Portfolios: Optimal Asset and Signal Combination," Papers 2202.10817, arXiv.org, revised Jul 2023.
    29. Christis Katsouris, 2021. "Optimal Portfolio Choice and Stock Centrality for Tail Risk Events," Papers 2112.12031, arXiv.org.
    30. Chen, Jia & Li, Degui & Linton, Oliver, 2019. "A new semiparametric estimation approach for large dynamic covariance matrices with multiple conditioning variables," Journal of Econometrics, Elsevier, vol. 212(1), pages 155-176.
    31. Elliot Beck & Damian Kozbur & Michael Wolf, 2023. "Hedging Forecast Combinations With an Application to the Random Forest," Papers 2308.15384, arXiv.org, revised Aug 2023.
    32. Dong, Yingjie & Tse, Yiu-Kuen, 2020. "Forecasting large covariance matrix with high-frequency data using factor approach for the correlation matrix," Economics Letters, Elsevier, vol. 195(C).
    33. Stanislav Anatolyev & Vladimir Pyrlik, 2021. "Shrinkage for Gaussian and t Copulas in Ultra-High Dimensions," CERGE-EI Working Papers wp699, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    34. Marc Hallin & Carlos Trucíos, 2020. "Forecasting Value-at-Risk and Expected Shortfall in Large Portfolios: a General Dynamic Factor Approach," Working Papers ECARES 2020-50, ULB -- Universite Libre de Bruxelles.
    35. Laura Liu & Christian Matthes & Katerina Petrova, 2022. "Monetary Policy Across Space and Time," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 37-64, Emerald Group Publishing Limited.
    36. Claudio, Morana, 2018. "Regularized semiparametric estimation of high dimensional dynamic conditional covariance matrices," Working Papers 382, University of Milano-Bicocca, Department of Economics, revised 04 Jun 2018.
    37. Qifa Xu & Junqing Zuo & Cuixia Jiang & Yaoyao He, 2021. "A large constrained time‐varying portfolio selection model with DCC‐MIDAS: Evidence from Chinese stock market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3417-3435, July.
    38. Ahmed, Shamim & Bu, Ziwen & Symeonidis, Lazaros & Tsvetanov, Daniel, 2023. "Which factor model? A systematic return covariation perspective," Journal of International Money and Finance, Elsevier, vol. 136(C).
    39. Bollerslev, Tim & Patton, Andrew J. & Quaedvlieg, Rogier, 2020. "Multivariate leverage effects and realized semicovariance GARCH models," Journal of Econometrics, Elsevier, vol. 217(2), pages 411-430.
    40. Vincent Tan & Stefan Zohren, 2020. "Estimation of Large Financial Covariances: A Cross-Validation Approach," Papers 2012.05757, arXiv.org, revised Jan 2023.
    41. Andries C. van Vlodrop & Andre (A.) Lucas, 2018. "Estimation Risk and Shrinkage in Vast-Dimensional Fundamental Factor Models," Tinbergen Institute Discussion Papers 18-099/III, Tinbergen Institute.
    42. Sven Husmann & Antoniya Shivarova & Rick Steinert, 2021. "Cross-validated covariance estimators for high-dimensional minimum-variance portfolios," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(3), pages 309-352, September.
    43. Bian, Zhicun & Liao, Yin & O’Neill, Michael & Shi, Jing & Zhang, Xueyong, 2020. "Large-scale minimum variance portfolio allocation using double regularization," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    44. Gianluca De Nard & Simon Hediger & Markus Leippold, 2022. "Subsampled factor models for asset pricing: The rise of Vasa," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1217-1247, September.
    45. Bongiorno, Christian & Challet, Damien, 2023. "Non-linear shrinkage of the price return covariance matrix is far from optimal for portfolio optimization," Finance Research Letters, Elsevier, vol. 52(C).
    46. Thomas Conlon & John Cotter & Iason Kynigakis, 2021. "Machine Learning and Factor-Based Portfolio Optimization," Papers 2107.13866, arXiv.org.
    47. He, Zhongfang, 2018. "A Class of Generalized Dynamic Correlation Models," MPRA Paper 84820, University Library of Munich, Germany.
    48. Jiti Gao & Fei Liu & Bin Peng & Yayi Yan, 2020. "Binary Response Models for Heterogeneous Panel Data with Interactive Fixed Effects," Papers 2012.03182, arXiv.org, revised Nov 2021.
    49. Emilija Dzuverovic & Matteo Barigozzi, 2023. "Hierarchical DCC-HEAVY Model for High-Dimensional Covariance Matrices," Papers 2305.08488, arXiv.org.
    50. Sven Husmann & Antoniya Shivarova & Rick Steinert, 2019. "Cross-validated covariance estimators for high-dimensional minimum-variance portfolios," Papers 1910.13960, arXiv.org, revised Oct 2020.
    51. Llorens-Terrazas, Jordi & Brownlees, Christian, 2023. "Projected Dynamic Conditional Correlations," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1761-1776.
    52. van Zundert, Jeroen, 2018. "Empirical studies on the cross-section of corporate bond and stock markets," Other publications TiSEM 338205fc-a031-4e06-a636-9, Tilburg University, School of Economics and Management.
    53. M. Raddant & T. Di Matteo, 2023. "A Look at Financial Dependencies by Means of Econophysics and Financial Economics," Papers 2302.08208, arXiv.org.
    54. Masaya Abe & Kei Nakagawa, 2020. "Cross-sectional Stock Price Prediction using Deep Learning for Actual Investment Management," Papers 2002.06975, arXiv.org.
    55. Olivier Ledoit & Michael Wolf, 2022. "Markowitz portfolios under transaction costs," ECON - Working Papers 420, Department of Economics - University of Zurich, revised Jan 2024.
    56. Chuting Sun & Qi Wu & Xing Yan, 2023. "Dynamic CVaR Portfolio Construction with Attention-Powered Generative Factor Learning," Papers 2301.07318, arXiv.org, revised Jan 2024.
    57. Moura, Guilherme V. & Santos, André A. P. & Ruiz Ortega, Esther, 2019. "Comparing Forecasts of Extremely Large Conditional Covariance Matrices," DES - Working Papers. Statistics and Econometrics. WS 29291, Universidad Carlos III de Madrid. Departamento de Estadística.
    58. Anatolyev, Stanislav & Pyrlik, Vladimir, 2022. "Copula shrinkage and portfolio allocation in ultra-high dimensions," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    59. Olivier Ledoit & Michael Wolf, 2017. "Analytical nonlinear shrinkage of large-dimensional covariance matrices," ECON - Working Papers 264, Department of Economics - University of Zurich, revised Nov 2018.
    60. Trucíos Maza, Carlos César & Hotta, Luiz Koodi & Pereira, Pedro L. Valls, 2018. "On the robustness of the principal volatility components," Textos para discussão 474, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    61. Plachel, Lukas, 2019. "A unified model for regularized and robust portfolio optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
    62. Kei Nakagawa & Yusuke Uchiyama, 2020. "GO-GJRSK Model with Application to Higher Order Risk-Based Portfolio," Mathematics, MDPI, vol. 8(11), pages 1-12, November.
    63. Gianluca De Nard & Olivier Ledoit & Michael Wolf, 2018. "Factor models for portfolio selection in large dimensions: the good, the better and the ugly," ECON - Working Papers 290, Department of Economics - University of Zurich, revised Dec 2018.
    64. Sven Husmann & Antoniya Shivarova & Rick Steinert, 2022. "Sparsity and stability for minimum-variance portfolios," Risk Management, Palgrave Macmillan, vol. 24(3), pages 214-235, September.
    65. Kei Nakagawa & Mitsuyoshi Imamura & Kenichi Yoshida, 2018. "Risk-Based Portfolios with Large Dynamic Covariance Matrices," IJFS, MDPI, vol. 6(2), pages 1-14, May.
    66. Rafael Alves & Diego S. de Brito & Marcelo C. Medeiros & Ruy M. Ribeiro, 2023. "Forecasting Large Realized Covariance Matrices: The Benefits of Factor Models and Shrinkage," Papers 2303.16151, arXiv.org.
    67. De Nard, Gianluca & Zhao, Zhao, 2023. "Using, taming or avoiding the factor zoo? A double-shrinkage estimator for covariance matrices," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 23-35.
    68. Christian Bongiorno & Damien Challet, 2023. "Covariance matrix filtering and portfolio optimisation: the Average Oracle vs Non-Linear Shrinkage and all the variants of DCC-NLS," Papers 2309.17219, arXiv.org.
    69. Ding, Yi & Li, Yingying & Zheng, Xinghua, 2021. "High dimensional minimum variance portfolio estimation under statistical factor models," Journal of Econometrics, Elsevier, vol. 222(1), pages 502-515.
    70. Paolella, Marc S. & Polak, Paweł & Walker, Patrick S., 2021. "A non-elliptical orthogonal GARCH model for portfolio selection under transaction costs," Journal of Banking & Finance, Elsevier, vol. 125(C).
    71. Chazi, Abdelaziz & Samet, Anis & Azad, A.S.M. Sohel, 2023. "Volatility and correlation of Islamic and conventional indices during crises," Global Finance Journal, Elsevier, vol. 55(C).
    72. Benjamin Poignard & Manabu Asai, 2023. "High‐dimensional sparse multivariate stochastic volatility models," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(1), pages 4-22, January.
    73. Kwangmin Jung & Donggyu Kim & Seunghyeon Yu, 2021. "Next Generation Models for Portfolio Risk Management: An Approach Using Financial Big Data," Papers 2102.12783, arXiv.org, revised Feb 2022.
    74. Khashanah, Khaldoun & Simaan, Majeed & Simaan, Yusif, 2022. "Do we need higher-order comoments to enhance mean-variance portfolios? Evidence from a simplified jump process," International Review of Financial Analysis, Elsevier, vol. 81(C).
    75. Golosnoy, Vasyl & Gribisch, Bastian, 2022. "Modeling and forecasting realized portfolio weights," Journal of Banking & Finance, Elsevier, vol. 138(C).
    76. Wang, Hanchao & Peng, Bin & Li, Degui & Leng, Chenlei, 2021. "Nonparametric estimation of large covariance matrices with conditional sparsity," Journal of Econometrics, Elsevier, vol. 223(1), pages 53-72.
    77. Sylvia Gottschalk, 2023. "From Black Wednesday to Brexit: Macroeconomic shocks and correlations of equity returns in France, Germany, Italy, Spain, and the United Kingdom," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2843-2873, July.
    78. De Nard, Gianluca & Zhao, Zhao, 2022. "A large-dimensional test for cross-sectional anomalies:Efficient sorting revisited," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 654-676.
    79. Jan Patrick Hartkopf, 2023. "Composite forecasting of vast-dimensional realized covariance matrices using factor state-space models," Empirical Economics, Springer, vol. 64(1), pages 393-436, January.
    80. Cipollini, Fabrizio & Gallo, Giampiero M. & Palandri, Alessandro, 2021. "A dynamic conditional approach to forecasting portfolio weights," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1111-1126.
    81. Catherine D'Hondt & Rudy De Winne & Eric Ghysels & Steve Raymond, 2019. "Artificial Intelligence Alter Egos: Who benefits from Robo-investing?," Papers 1907.03370, arXiv.org.
    82. Yusuke Uchiyama & Kei Nakagawa, 2020. "TPLVM: Portfolio Construction by Student's $t$-process Latent Variable Model," Papers 2002.06243, arXiv.org.
    83. Lam, Clifford, 2020. "High-dimensional covariance matrix estimation," LSE Research Online Documents on Economics 101667, London School of Economics and Political Science, LSE Library.
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  11. Fabrizio Cipollini & Robert F. Engle & Giampiero M. Gallo, 2016. "Copula--based Specification of vector MEMs," Papers 1604.01338, arXiv.org.

    Cited by:

    1. Lien, Donald & Lee, Geul & Yang, Li & Zhang, Yuyin, 2018. "Volatility spillovers among the U.S. and Asian stock markets: A comparison between the periods of Asian currency crisis and subprime credit crisis," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 187-201.

  12. Robert Engle & Emil Siriwardane, 2014. "Structural GARCH: The Volatility-Leverage Connection," Working Papers 14-07, Office of Financial Research, US Department of the Treasury.

    Cited by:

    1. Eyden Samunderu & Yvonne T. Murahwa, 2021. "Return Based Risk Measures for Non-Normally Distributed Returns: An Alternative Modelling Approach," JRFM, MDPI, vol. 14(11), pages 1-48, November.
    2. Özbekler, Ali Gencay & Kontonikas, Alexandros & Triantafyllou, Athanasios, 2021. "Volatility forecasting in European government bond markets," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1691-1709.
    3. Durrani, Agha & Ongena, Steven & Ponte Marques, Aurea, 2022. "The certification role of the EU-wide stress testing exercises in the stock market. What can we learn from the stress tests (2014-2021)?," Working Paper Series 2711, European Central Bank.
    4. Forte, Santiago & Lovreta, Lidija, 2023. "Credit default swaps, the leverage effect, and cross-sectional predictability of equity and firm asset volatility," Journal of Corporate Finance, Elsevier, vol. 79(C).
    5. Turalay Kenc & Emrah Ismail Cevik, 2021. "Estimating volatility clustering and variance risk premium effects on bank default indicators," Review of Quantitative Finance and Accounting, Springer, vol. 57(4), pages 1373-1392, November.
    6. Gemmill, Gordon & Marra, Miriam, 2019. "Explaining CDS prices with Merton’s model before and after the Lehman default," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 93-109.

  13. Acharya, Viral & Engle, Robert & Pierret, Diane, 2014. "Testing macroprudential stress tests: The risk of regulatory risk weights," LIDAM Reprints ISBA 2014022, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).

    Cited by:

    1. Reint Gropp & Thomas C. Mosk & Steven Ongena & Carlo Wix, 2016. "Bank Response to Higher Capital Requirements: Evidence from a Quasi-Natural Experiment," Swiss Finance Institute Research Paper Series 16-70, Swiss Finance Institute.
    2. Sonia Dissem, 2019. "Asset commonality of European banks," Journal of Banking Regulation, Palgrave Macmillan, vol. 20(1), pages 1-33, March.
    3. Cecilia Parlatore, 2018. "Designing Stress Scenarios," 2018 Meeting Papers 1090, Society for Economic Dynamics.
    4. Chekani Nkwaira & Huibrecht Margaretha Van der Poll, 2023. "Anticipating the Unforeseen and Expecting the Unexpected: Effectiveness of Macro-Prudential Policies in Curbing the Impact of Stranded Assets in the Banking Sector," Risks, MDPI, vol. 11(5), pages 1-16, May.
    5. Kleszcz Klaudia & Nehrebecka Natalia, 2020. "Financial liability stress tests: an approach based on the use of a rating migration matrix," Central European Economic Journal, Sciendo, vol. 7(54), pages 12-32, January.
    6. Yann Braouezec & Lakshithe Wagalath, 2018. "Risk-Based Capital Requirements and Optimal Liquidation in a Stress Scenario [Testing macroprudential stress tests: the risk of regulatory risk weights]," Review of Finance, European Finance Association, vol. 22(2), pages 747-782.
    7. Kolari, James W. & López-Iturriaga, Félix J. & Sanz, Ivan Pastor, 2019. "Predicting European bank stress tests: Survival of the fittest," Global Finance Journal, Elsevier, vol. 39(C), pages 44-57.
    8. Richardson, Matthew P & Philippon, Thomas & Acharya, Viral & Pedersen, Lasse Heje, 2012. "Measuring Systemic Risk," CEPR Discussion Papers 8824, C.E.P.R. Discussion Papers.
    9. Chiara Pederzoli & Costanza Torricelli, 2015. "Systemic risk measures and macroprudential stress tests. An assessment over the 2014 EBA exercise," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0054, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    10. Matousek, Roman & Panopoulou, Ekaterini & Papachristopoulou, Andromachi, 2020. "Policy uncertainty and the capital shortfall of global financial firms," Journal of Corporate Finance, Elsevier, vol. 62(C).
    11. Durrani, Agha & Ongena, Steven & Ponte Marques, Aurea, 2022. "The certification role of the EU-wide stress testing exercises in the stock market. What can we learn from the stress tests (2014-2021)?," Working Paper Series 2711, European Central Bank.
    12. Paul Glasserman & Chulmin Kang & Wanmo Kang, 2013. "Stress Scenario Selection by Empirical Likelihood," Working Papers 13-07, Office of Financial Research, US Department of the Treasury.
    13. Nnaemeka Vincent Emodi & Kyung-Jin Boo, 2015. "Decomposition Analysis of CO2 Emissions from Electricity Generation in Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 565-573.
    14. Acharya, Viral V. & Berger, Allen N. & Roman, Raluca A., 2018. "Lending implications of U.S. bank stress tests: Costs or benefits?," Journal of Financial Intermediation, Elsevier, vol. 34(C), pages 58-90.
    15. Merim KASUMOVIĆ & Mirna MEŠIĆ, 2018. "Macroprudential stability indicators of financial systems: Analysis of Bosnia and Herzegovina and Croatia," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(614), S), pages 41-54, Spring.
    16. Peter Grundke, 2019. "Ranking consistency of systemic risk measures: a simulation-based analysis in a banking network model," Review of Quantitative Finance and Accounting, Springer, vol. 52(4), pages 953-990, May.
    17. Kelly, Robert & O'Toole, Conor, 2016. "Lending Conditions and Loan Default: What Can We Learn From UK Buy-to-Let Loans?," Research Technical Papers 04/RT/16, Central Bank of Ireland.
    18. Waeibrorheem Waemustafa & Suriani Sukri, 2015. "Bank Specific and Macroeconomics Dynamic Determinants of Credit Risk in Islamic Banks and Conventional Banks," International Journal of Economics and Financial Issues, Econjournals, vol. 5(2), pages 476-481.
    19. Matteo Crosignani, 2017. "Why Are Banks Not Recapitalized During Crises?," Finance and Economics Discussion Series 2017-084, Board of Governors of the Federal Reserve System (U.S.).
    20. Abbassi, Puriya & Iyer, Rajkamal & Peydró, José-Luis & Soto, Paul, 2020. "Stressed Banks? Evidence from the Largest-Ever Supervisory Review," EconStor Preprints 217048, ZBW - Leibniz Information Centre for Economics.
    21. Tirupam Goel & Isha Agarwal, 2021. "Limits of stress-test based bank regulation," BIS Working Papers 953, Bank for International Settlements.
    22. Céline Antonin & Christophe Blot & Jérôme Creel & Fabien Labondance & Vincent Touze & Paul Hubert, 2014. "Comment lutter contre la fragmentation du système bancaire de la zone euro," Sciences Po publications info:hdl:2441/7986np0ssj9, Sciences Po.
    23. Behn, Markus & Haselmann, Rainer & Vig, Vikrant, 2014. "The limits of model-based regulation," SAFE Working Paper Series 75, Leibniz Institute for Financial Research SAFE.
    24. Murat Cakir, 2017. "A conceptual design of "what and how should a proper macro-prudential policy framework be?" A globalistic approach to systemic risk and procuring the data needed," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Uses of central balance sheet data offices' information, volume 45, Bank for International Settlements.
    25. Anginer, Deniz & Demirguc-Kunt, Asli, 2014. "Bank capital and systemic stability," Policy Research Working Paper Series 6948, The World Bank.
    26. Gary Gorton, 2015. "Stress for Success: A Review of Timothy Geithner's Financial Crisis Memoir," Journal of Economic Literature, American Economic Association, vol. 53(4), pages 975-995, December.
    27. Cristina Gutiérrez-López & Julio Abad-González, 2020. "Sustainability in the Banking Sector: A Predictive Model for the European Banking Union in the Aftermath of the Financial Crisis," Sustainability, MDPI, vol. 12(6), pages 1-25, March.
    28. Thomas L. Hogan & G. P. Manish, 2016. "Banking Regulation and Knowledge Problems," Advances in Austrian Economics, in: Studies in Austrian Macroeconomics, volume 20, pages 213-234, Emerald Group Publishing Limited.
    29. Santiago Gamba & Oscar Jaulín & Angélica Lizarazo & Juan Carlos Mendoza & Paola Morales & Daniel Osorio & Eduardo Yanquen, 2017. "SYSMO I: A Systemic Stress Model for the Colombian Financial System," Borradores de Economia 1028, Banco de la Republica de Colombia.
    30. Friederike Niepmann & Viktors Stebunovs, 2018. "Modeling Your Stress Away," International Finance Discussion Papers 1232, Board of Governors of the Federal Reserve System (U.S.).
    31. Maarten R.C. Van Oordt, 2023. "Calibrating the Magnitude of the Countercyclical Capital Buffer Using Market‐Based Stress Tests," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(2-3), pages 465-501, March.
    32. Huizinga, Harry & Ioannidou, Vasso & Horváth, Bálint, 2015. "Determinants and Valuation Effects of the Home Bias in European Banks' Sovereign Debt Portfolios," CEPR Discussion Papers 10661, C.E.P.R. Discussion Papers.
    33. Miller, Stephen, 2017. "The Recourse Rule, Regulatory Arbitrage, and the Financial Crisis," Working Papers 03097, George Mason University, Mercatus Center.
    34. Markus Behn & Rainer Haselmann & Paul Wachtel, 2016. "Procyclical Capital Regulation and Lending," Journal of Finance, American Finance Association, vol. 71(2), pages 919-956, April.
    35. Robert McKeown, 2017. "How Vulnerable Is The Canadian Banking System To Fire-sales?," Working Paper 1381, Economics Department, Queen's University.
    36. Thomas L. Hogan, 2021. "A Review of the Regulatory Impact Analysis of Risk-Based Capital and Related Liquidity Rules," JRFM, MDPI, vol. 14(1), pages 1-29, January.
    37. W. Scott Frame & Lawrence J. White, 2009. "Technological Change, Financial Innovation, and Diffusion in Banking," Working Papers 09-03, New York University, Leonard N. Stern School of Business, Department of Economics.
    38. Brownlees, Christian & Engle, Robert F., 2017. "SRISK: a conditional capital shortfall measure of systemic risk," ESRB Working Paper Series 37, European Systemic Risk Board.
    39. James R. Barth & Stephen Matteo Miller, 2018. "On the Rising Complexity of Bank Regulatory Capital Requirements: From Global Guidelines to their United States (US) Implementation," JRFM, MDPI, vol. 11(4), pages 1-33, November.
    40. Barucci, Emilio & Baviera, Roberto & Milani, Carlo, 2016. "Is the Comprehensive Assessment able to capture banks’ risks?," Finance Research Letters, Elsevier, vol. 19(C), pages 98-104.
    41. Cameron MacDonald & Maarten van Oordt & Robin Scott, 2016. "Implementing Market-Based Indicators to Monitor Vulnerabilities of Financial Institutions," Staff Analytical Notes 16-5, Bank of Canada.
    42. Vodenska, Irena & Aoyama, Hideaki & Becker, Alexander P. & Fujiwara, Yoshi & Iyetomi, Hiroshi & Lungu, Eliza, 2021. "From stress testing to systemic stress testing: The importance of macroprudential regulation," Journal of Financial Stability, Elsevier, vol. 52(C).
    43. Christophe Pérignon & David Thesmar & Guillaume Vuillemey, 2018. "Wholesale Funding Dry‐Ups," Journal of Finance, American Finance Association, vol. 73(2), pages 575-617, April.
    44. Stefan Nagel & Amiyatosh Purnanandam, 2020. "Banks’ Risk Dynamics and Distance to Default," The Review of Financial Studies, Society for Financial Studies, vol. 33(6), pages 2421-2467.
    45. Haselmann, Rainer & Wahrenburg, Mark, 2018. "How demanding and consistent is the 2018 stress test design in comparison to previous exercises? Banking union scrutiny," SAFE White Paper Series 54, Leibniz Institute for Financial Research SAFE.
    46. Ambrocio, Gene & Jokivuolle, Esa, 2017. "Should bank capital requirements be less risk-sensitive because of credit constraints?," Bank of Finland Research Discussion Papers 10/2017, Bank of Finland.
    47. Nikolay Hristov & Oliver Hülsewig & Benedikt Kolb, 2021. "Macroprudential Policy and the Sovereign-Bank Nexus in the Euro Area," CESifo Working Paper Series 9342, CESifo.
    48. Brummelhuis, Raymond & Luo, Zhongmin, 2019. "Bank Net Interest Margin Forecasting and Capital Adequacy Stress Testing by Machine Learning Techniques," MPRA Paper 94779, University Library of Munich, Germany.
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    50. Lubberink, Martien, 2020. "Max Headroom: Discretionary Capital Buffers and Bank Risk," MPRA Paper 100445, University Library of Munich, Germany.
    51. Samuel Antill & Asani Sarkar, 2018. "Is size everything?," Staff Reports 864, Federal Reserve Bank of New York.
    52. Til Schuermann, 2020. "Capital Adequacy Pre‐ and Postcrisis and the Role of Stress Testing," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(S1), pages 87-105, October.
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    58. Delis, Manthos & Karavias, Yiannis, 2013. "Optimal versus realized bank credit risk and monetary policy," MPRA Paper 49795, University Library of Munich, Germany.
    59. Qi Zhang & Francesco Vallascas & Kevin Keasey & Charlie X. Cai, 2015. "Are Market‐Based Measures of Global Systemic Importance of Financial Institutions Useful to Regulators and Supervisors?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(7), pages 1403-1442, October.
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    125. Kellard, Neil M. & Kontonikas, Alexandros & Lamla, Michael J. & Maiani, Stefano & Wood, Geoffrey, 2022. "Risk, financial stability and FDI," Journal of International Money and Finance, Elsevier, vol. 120(C).
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    127. Wu, Deming & Fang, Ming & Wang, Qing, 2018. "An empirical study of bank stress testing for auto loans," Journal of Financial Stability, Elsevier, vol. 39(C), pages 79-89.
    128. Badarau, Cristina & Lapteacru, Ion, 2020. "Bank risk, competition and bank connectedness with firms: A literature review," Research in International Business and Finance, Elsevier, vol. 51(C).
    129. Richard Berner & Robert Engle & Hyeyoon Jung, 2021. "CRISK: Measuring the Climate Risk Exposure of the Financial System," Staff Reports 977, Federal Reserve Bank of New York.
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    139. Cai, Jian & Eidam, Frederik & Saunders, Anthony & Steffen, Sascha, 2018. "Syndication, interconnectedness, and systemic risk," Journal of Financial Stability, Elsevier, vol. 34(C), pages 105-120.
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    143. Maria Chiara Cavalleri & Boris Cournède & Volker Ziemann, 2019. "Housing markets and macroeconomic risks," OECD Economics Department Working Papers 1555, OECD Publishing.
    144. Klein, Paul-Olivier & Turk-Ariss, Rima, 2022. "Bank capital and economic activity," Journal of Financial Stability, Elsevier, vol. 62(C).
    145. Sean P. Grover & Michael W. McCracken, 2014. "Factor-based prediction of industry-wide bank stress," Review, Federal Reserve Bank of St. Louis, vol. 96(2), pages 173-194.
    146. Martien Lamers & Thomas Present & Nicolas Soenen & Rudi Vander Vennet, 2023. "Does BRRD mitigate the bank-to-sovereign risk channel?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 23/1060, Ghent University, Faculty of Economics and Business Administration.
    147. Mérő, Katalin, 2018. "A kockázatalapú bankszabályozás előretörése és visszaszorulása - az ösztönzési struktúrák szerepe [The emergence and decline of risk-based bank regulation the role of incentive structures]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 981-1005.
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    149. Huang, Qiubin & de Haan, Jakob & Scholtens, Bert, 2020. "Does bank capitalization matter for bank stock returns?," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    150. Buschmann, Christian & Schmaltz, Christian, 2017. "Sovereign collateral as a Trojan Horse: Why do we need an LCR+," Journal of Financial Stability, Elsevier, vol. 33(C), pages 311-330.
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  14. Turan G. Bali & Robert F. Engle & Yi Tang, 2013. "Dynamic Conditional Beta is Alive and Well in the Cross-Section of Daily Stock Returns," Koç University-TUSIAD Economic Research Forum Working Papers 1305, Koc University-TUSIAD Economic Research Forum.

    Cited by:

    1. Asgharian, Hossein & Christiansen, Charlotte & Hou, Ai Jun & Wang, Weining, 2020. "Long- and Short-Run Components of Factor Betas: Implications for Stock Pricing," IRTG 1792 Discussion Papers 2020-020, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    2. Sebastien Valeyre & Sofiane Aboura & Denis Grebenkov, 2019. "The Reactive Beta Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 42(1), pages 71-113, March.
    3. de Oliveira Souza, Thiago, 2020. "Observable implications of the conditional CAPM," Discussion Papers on Economics 13/2020, University of Southern Denmark, Department of Economics.
    4. Hong, Jiawei & Yu, Xiaojian & Xiao, Weilin & Zhang, Xili, 2022. "The dispersion of beta estimates and the investors’ heterogeneous Beliefs：Evidence from the stock market in China," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 540-550.
    5. Auh, Jun Kyung & Cho, Wonho, 2023. "Factor-based portfolio optimization," Economics Letters, Elsevier, vol. 228(C).
    6. Sebastien Valeyre, 2020. "Refined model of the covariance/correlation matrix between securities," Papers 2001.08911, arXiv.org.
    7. Kenneth Hogholm & Johan Knif & Gregory Koutmos & Seppo Pynnonen, 2017. "Asymmetric Fund Performance Characteristics A Comparison of European and US Large-Cap Funds," Multinational Finance Journal, Multinational Finance Journal, vol. 21(1), pages 1-20, March.
    8. Sun, Yang & Zhang, Xuan & Zhang, Zhekai, 2022. "The reduced-rank beta in linear stochastic discount factor models," International Review of Financial Analysis, Elsevier, vol. 84(C).
    9. Bing XIAO, 2016. "Conditional Relationship Between Beta and Return in the US Stock Market," Expert Journal of Business and Management, Sprint Investify, vol. 4(1), pages 46-55.
    10. Dr. Martin Indergand & Eric Jondeau & Dr. Andreas Fuster, 2022. "Measuring and stress-testing market-implied bank capital," Working Papers 2022-02, Swiss National Bank.
    11. Insana, Alessandra, 2022. "Does systematic risk change when markets close? An analysis using stocks’ beta," Economic Modelling, Elsevier, vol. 109(C).
    12. Ricardo Correa & Linda S. Goldberg, 2020. "Bank Complexity, Governance, and Risk," Staff Reports 930, Federal Reserve Bank of New York.
    13. Thomas Conlon & John Cotter & Iason Kynigakis, 2021. "Machine Learning and Factor-Based Portfolio Optimization," Papers 2107.13866, arXiv.org.
    14. Naeem, Muhammad Abubakr & Balli, Faruk & Shahzad, Syed Jawad Hussain & de Bruin, Anne, 2020. "Energy commodity uncertainties and the systematic risk of US industries," Energy Economics, Elsevier, vol. 85(C).
    15. Markus Pelger, 2020. "Understanding Systematic Risk: A High‐Frequency Approach," Journal of Finance, American Finance Association, vol. 75(4), pages 2179-2220, August.
    16. Emilija Dzuverovic & Matteo Barigozzi, 2023. "Hierarchical DCC-HEAVY Model for High-Dimensional Covariance Matrices," Papers 2305.08488, arXiv.org.
    17. Cenesizoglu, Tolga & Reeves, Jonathan J., 2018. "CAPM, components of beta and the cross section of expected returns," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 223-246.
    18. Hasan, Mostafa Monzur & Chen, Xiaomeng Charlene, 2023. "Strategic deviation and idiosyncratic return volatility," Finance Research Letters, Elsevier, vol. 54(C).
    19. Gianluca De Nard & Olivier Ledoit & Michael Wolf, 2018. "Factor models for portfolio selection in large dimensions: the good, the better and the ugly," ECON - Working Papers 290, Department of Economics - University of Zurich, revised Dec 2018.
    20. Kevin Sheppard & Wen Xu, 2019. "Factor High-Frequency-Based Volatility (HEAVY) Models," Journal of Financial Econometrics, Oxford University Press, vol. 17(1), pages 33-65.
    21. Sebastien Valeyre & Denis S. Grebenkov & Sofiane Aboura, 2019. "The Reactive Beta Model," Papers 1911.00919, arXiv.org.
    22. Andreou, Panayiotis C. & Kagkadis, Anastasios & Philip, Dennis & Tuneshev, Ruslan, 2018. "Differences in options investors’ expectations and the cross-section of stock returns," Journal of Banking & Finance, Elsevier, vol. 94(C), pages 315-336.
    23. Erdinc Akyildirim & Duc Khuong Nguyen & Ahmet Sensoy, 2018. "A Tale of Two Risks in the EMU Sovereign Debt Markets," Working Papers 2018-004, Department of Research, Ipag Business School.
    24. Lioui, Abraham & Tarelli, Andrea, 2020. "Factor Investing for the Long Run," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).

  15. Robert F. Engle & Martin Klint Hansen & Asger Lunde, 2012. "And Now, The Rest of the News: Volatility and Firm Specific News Arrival," CREATES Research Papers 2012-56, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Prajwal Eachempati & Praveen Ranjan Srivastava, 2021. "Accounting for unadjusted news sentiment for asset pricing," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 13(3), pages 383-422, May.
    2. Khurshid Ahmad & JingGuang Han & Elaine Hutson & Colm Kearney & Sha Liu, 2016. "Media-expressed negative tone and firm-level stock returns," Open Access publications 10197/8208, Research Repository, University College Dublin.
    3. Tom Marty & Bruce Vanstone & Tobias Hahn, 2020. "News media analytics in finance: a survey," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(2), pages 1385-1434, June.
    4. Katherine B. Ensor & Yu Han & Barbara Ostdiek & Stuart M. Turnbull, 2020. "Dynamic jump intensities and news arrival in oil futures markets," Journal of Asset Management, Palgrave Macmillan, vol. 21(4), pages 292-325, July.

  16. Robert F. Engle & Eric Jondeau & Michael Rockinger, 2012. "Systemic Risk in Europe," Swiss Finance Institute Research Paper Series 12-45, Swiss Finance Institute.

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    1. Mensah, Jones Odei & Premaratne, Gamini, 2017. "Systemic interconnectedness among Asian Banks," Japan and the World Economy, Elsevier, vol. 41(C), pages 17-33.
    2. Banulescu, Georgiana-Denisa & Dumitrescu, Elena-Ivona, 2015. "Which are the SIFIs? A Component Expected Shortfall approach to systemic risk," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 575-588.
    3. Chiara Pederzoli & Costanza Torricelli, 2015. "Systemic risk measures and macroprudential stress tests. An assessment over the 2014 EBA exercise," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0054, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    4. Robert Engle & Eric Jondeau & Michael Rockinger, 2015. "Systemic Risk in Europe," Review of Finance, European Finance Association, vol. 19(1), pages 145-190.
    5. Matousek, Roman & Panopoulou, Ekaterini & Papachristopoulou, Andromachi, 2020. "Policy uncertainty and the capital shortfall of global financial firms," Journal of Corporate Finance, Elsevier, vol. 62(C).
    6. Lyócsa, Štefan & Výrost, Tomáš & Baumöhl, Eduard, 2019. "Return spillovers around the globe: A network approach," Economic Modelling, Elsevier, vol. 77(C), pages 133-146.
    7. Paulo Garrido & Pedro Campos & André Dias, 2015. "Balance Sheet Analysis Of Credit And Debt Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 18(05n06), pages 1-18, August.
    8. Ahmet Sensoy, 2016. "Systematic Risk in Conventional and Islamic Equity Markets," International Review of Finance, International Review of Finance Ltd., vol. 16(3), pages 457-466, September.
    9. Peter Grundke, 2019. "Ranking consistency of systemic risk measures: a simulation-based analysis in a banking network model," Review of Quantitative Finance and Accounting, Springer, vol. 52(4), pages 953-990, May.
    10. Geraci, Marco Valerio & Gnabo, Jean-Yves, 2018. "Measuring Interconnectedness between Financial Institutions with Bayesian Time-Varying Vector Autoregressions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(3), pages 1371-1390, June.
    11. Hoffmann, Hannes & Meyer-Brandis, Thilo & Svindland, Gregor, 2016. "Risk-consistent conditional systemic risk measures," Stochastic Processes and their Applications, Elsevier, vol. 126(7), pages 2014-2037.
    12. Eric Fina Kamani, 2020. "The effect of the trading activities of banks on systemic risk: does banking industry concentration matter?," Economics Bulletin, AccessEcon, vol. 40(1), pages 542-555.
    13. Berger, Allen N. & Roman, Raluca A. & Sedunov, John, 2020. "Did TARP reduce or increase systemic risk? The effects of government aid on financial system stability," Journal of Financial Intermediation, Elsevier, vol. 43(C).
    14. Nivorozhkin, Eugene & Chondrogiannis, Ilias, 2022. "Shifting balances of systemic risk in the Chinese banking sector: Determinants and trends," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    15. Faia, Ester & Ottaviano, Gianmarco & Sanchez Arjona, Irene, 2017. "International Expansion and Riskiness of Banks," CEPR Discussion Papers 11951, C.E.P.R. Discussion Papers.
    16. Stolbov, Mikhail & Shchepeleva, Maria, 2020. "Systemic risk, economic policy uncertainty and firm bankruptcies: Evidence from multivariate causal inference," Research in International Business and Finance, Elsevier, vol. 52(C).
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    21. Bijlsma, Melle & Vermeulen, Robert, 2016. "Insurance companies’ trading behaviour during the European sovereign debt crisis: Flight home or flight to quality?," Journal of Financial Stability, Elsevier, vol. 27(C), pages 137-154.
    22. Polanski, Arnold & Stoja, Evarist, 2015. "Extreme risk interdependence," Bank of England working papers 563, Bank of England.
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    26. Weidong Lin & Jose Olmo & Abderrahim Taamouti, 2022. "Portfolio Selection Under Systemic Risk," Working Papers 202208, University of Liverpool, Department of Economics.
    27. Chen, Yi-Pei & Chen, Yu-Lun & Chiang, Shu-Hen & Mo, Wan-Shin, 2023. "Determinants of connectedness in financial institutions: Evidence from Taiwan," Emerging Markets Review, Elsevier, vol. 55(C).
    28. Bevilacqua, Mattia & Tunaru, Radu & Vioto, Davide, 2020. "Options-based systemic risk, financial distress, and macroeconomic downturns," LSE Research Online Documents on Economics 118850, London School of Economics and Political Science, LSE Library.
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    31. Buse, Rebekka & Schienle, Melanie & Urban, Jörg, 2019. "Effectiveness of policy and regulation in European sovereign credit risk markets: a network analysis," ESRB Working Paper Series 90, European Systemic Risk Board.
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    35. Jondeau, Eric & Khalilzadeh, Amir, 2022. "Predicting the stressed expected loss of large U.S. banks," Journal of Banking & Finance, Elsevier, vol. 134(C).
    36. Mikhail Stolbov & Maria Shchepeleva, 2018. "Systemic risk in Europe: deciphering leading measures, common patterns and real effects," Annals of Finance, Springer, vol. 14(1), pages 49-91, February.
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    38. Eric Dor, 2013. "The recapitalization needs of European banks if a new financial crisis occurs," Working Papers 2013-ECO-19, IESEG School of Management.
    39. Gilbert Colletaz & Grégory Levieuge & Alexandra Popescu, 2018. "Monetary policy and long-run systemic risk-taking," Post-Print hal-02162296, HAL.
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    44. Buse, Rebekka & Schienle, Melanie & Urban, Jörg, 2022. "Assessing the impact of policy and regulation interventions in European sovereign credit risk networks: What worked best?," Journal of International Economics, Elsevier, vol. 139(C).
    45. Jacob Kleinow & Tobias Nell, 2015. "Determinants of systemically important banks: the case of Europe," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 7(4), pages 446-476, November.
    46. Dincer, Hasan & Hacioglu, Umit & Tatoglu, Ekrem & Delen, Dursun, 2019. "Developing a hybrid analytics approach to measure the efficiency of deposit banks," Journal of Business Research, Elsevier, vol. 104(C), pages 131-145.
    47. Carmela Cappelli & Francesca Iorio & Angela Maddaloni & Pierpaolo D’Urso, 2021. "Atheoretical Regression Trees for classifying risky financial institutions," Annals of Operations Research, Springer, vol. 299(1), pages 1357-1377, April.
    48. Dr. Martin Indergand & Eric Jondeau & Dr. Andreas Fuster, 2022. "Measuring and stress-testing market-implied bank capital," Working Papers 2022-02, Swiss National Bank.
    49. Gehrig, Thomas & Iannino, Maria Chiara, 2021. "Did the Basel Process of capital regulation enhance the resiliency of European banks?," Journal of Financial Stability, Elsevier, vol. 55(C).
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    53. John Cotter & Mark Hallam & Kamil Yilmaz, 2020. "Macro-Financial Spillovers," Working Papers 202005, Geary Institute, University College Dublin.
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    84. Liu, Ruicheng & Pun, Chi Seng, 2022. "Machine-Learning-enhanced systemic risk measure: A Two-Step supervised learning approach," Journal of Banking & Finance, Elsevier, vol. 136(C).
    85. Bostandzic, Denefa & Weiß, Gregor N.F., 2018. "Why do some banks contribute more to global systemic risk?," Journal of Financial Intermediation, Elsevier, vol. 35(PA), pages 17-40.
    86. Camilo Eduardo Sánchez-Quinto, 2022. "SRISK: una medida de riesgo sistémico para la banca colombiana 2005-2021," Borradores de Economia 1207, Banco de la Republica de Colombia.
    87. Bakkar, Yassine & Nyola, Annick Pamen, 2021. "Internationalization, foreign complexity and systemic risk: Evidence from European banks," Journal of Financial Stability, Elsevier, vol. 55(C).
    88. Sameh Jouida, 2019. "Bank capital structure, capital requirements and SRISK across bank ownership types and financial crisis: panel VAR approach," Review of Quantitative Finance and Accounting, Springer, vol. 53(1), pages 295-325, July.
    89. Erdinc Akyildirim & Duc Khuong Nguyen & Ahmet Sensoy, 2018. "A Tale of Two Risks in the EMU Sovereign Debt Markets," Working Papers 2018-004, Department of Research, Ipag Business School.
    90. Iwanicz-Drozdowska, Małgorzata & Rogowicz, Karol, 2022. "Does the choice of monetary policy tool matter for systemic risk? The curious case of negative interest rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    91. Apergis, Nicholas & Aysan, Ahmet F. & Bakkar, Yassine, 2022. "Borrower- and lender-based macroprudential policies: What works best against bank systemic risk?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    92. Bevilacqua, Mattia & Tunaru, Radu & Vioto, Davide, 2023. "Options-based systemic risk, financial distress, and macroeconomic downturns," Journal of Financial Markets, Elsevier, vol. 65(C).
    93. Cincinelli, Peter & Pellini, Elisabetta & Urga, Giovanni, 2022. "Systemic risk in the Chinese financial system: A panel Granger causality analysis," International Review of Financial Analysis, Elsevier, vol. 82(C).
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    95. Shumaila Zeb & Abdul Rashid, 2019. "Systemic risk in financial institutions of BRICS: measurement and identification of firm-specific determinants," Risk Management, Palgrave Macmillan, vol. 21(4), pages 243-264, December.
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    97. Laura Garcia-Jorcano & Lidia Sanchis-Marco, 2023. "Measuring Systemic Risk Using Multivariate Quantile-Located ES Models," Journal of Financial Econometrics, Oxford University Press, vol. 21(1), pages 1-72.
    98. Kolari, James W. & López-Iturriaga, Félix J. & Sanz, Ivan Pastor, 2020. "Measuring systemic risk in the U.S. Banking system," Economic Modelling, Elsevier, vol. 91(C), pages 646-658.
    99. Anna Maria Fiori & Francesco Porro, 2023. "A compositional analysis of systemic risk in European financial institutions," Annals of Finance, Springer, vol. 19(3), pages 325-354, September.
    100. Sharif Mazumder & Louis R. Piccotti, 2023. "Systemic Risk: Bank Characteristics Matter," Journal of Financial Services Research, Springer;Western Finance Association, vol. 64(2), pages 265-301, October.
    101. Barbaglia, Luca & Croux, Christophe & Wilms, Ines, 2020. "Volatility spillovers in commodity markets: A large t-vector autoregressive approach," Energy Economics, Elsevier, vol. 85(C).
    102. Mikhail I. Stolbov & Maria A. Shchepeleva & Alexander M. Karminsky, 2021. "A global perspective on macroprudential policy interaction with systemic risk, real economic activity, and monetary intervention," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-25, December.
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  17. Robert Engle & Michael J. Fleming & Eric Ghysels & Giang Nguyen, 2012. "Liquidity and volatility in the U.S. treasury market," Staff Reports 590, Federal Reserve Bank of New York.

    Cited by:

    1. Markus Engler & Vahidin Jeleskovic, 2016. "Intraday volatility, trading volume and trading intensity in the interbank market e-MID," MAGKS Papers on Economics 201648, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    2. Geromichalos, Athanasios & Herrenbrueck, Lucas M. & Salyer, Kevin D., 2016. "A search-theoretic model of the term premium," Theoretical Economics, Econometric Society, vol. 11(3), September.
    3. Siikanen, Milla & Kanniainen, Juho & Valli, Jaakko, 2017. "Limit order books and liquidity around scheduled and non-scheduled announcements: Empirical evidence from NASDAQ Nordic," Finance Research Letters, Elsevier, vol. 21(C), pages 264-271.
    4. Darrell Duffie & Michael Fleming & Frank Keane & Claire Nelson & Or Shachar & Peter Van Tassel, 2023. "Dealer capacity and US Treasury market functionality," BIS Working Papers 1138, Bank for International Settlements.
    5. Clements, Adam & Liao, Yin, 2017. "Forecasting the variance of stock index returns using jumps and cojumps," International Journal of Forecasting, Elsevier, vol. 33(3), pages 729-742.
    6. Kinkyo, Takuji, 2020. "Volatility interdependence on foreign exchange markets: The contribution of cross-rates," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    7. Lieven Baele & Geert Bekaert & Koen Inghelbrecht & Min Wei, 2014. "Flights to Safety," Finance and Economics Discussion Series 2014-46, Board of Governors of the Federal Reserve System (U.S.).
    8. Song, Zhaogang & Zhu, Haoxiang, 2018. "Quantitative easing auctions of Treasury bonds," Journal of Financial Economics, Elsevier, vol. 128(1), pages 103-124.
    9. Andrew C. Meldrum & Oleg Sokolinskiy, 2023. "The Effects of Volatility on Liquidity in the Treasury Market," Finance and Economics Discussion Series 2023-028, Board of Governors of the Federal Reserve System (U.S.).
    10. Carmen Broto & Matías Lamas, 2019. "Is market liquidity less resilient after the financial crisis? Evidence for us treasuries," Working Papers 1917, Banco de España.
    11. Carol Alexander & Daniel Heck & Andreas Kaeck, 2021. "The Role of Binance in Bitcoin Volatility Transmission," Papers 2107.00298, arXiv.org, revised Aug 2021.
    12. R. Krishnan & Vinod Mishra, 2012. "Intraday Liquidity Patterns in Indian Stock Market," Monash Economics Working Papers 34-12, Monash University, Department of Economics.
    13. Ben Omrane, Walid & Tao, Yusi & Welch, Robert, 2017. "Scheduled macro-news effects on a Euro/US dollar limit order book around the 2008 financial crisis," Research in International Business and Finance, Elsevier, vol. 42(C), pages 9-30.
    14. Stefania D’Amico & N Aaron Pancost, 2022. "Special Repo Rates and the Cross-Section of Bond Prices: The Role of the Special Collateral Risk Premium [Pr icing the term structure with linear regressions]," Review of Finance, European Finance Association, vol. 26(1), pages 117-162.
    15. Benos, Evangelos & Žikeš, Filip, 2018. "Funding constraints and liquidity in two-tiered OTC markets," Journal of Financial Markets, Elsevier, vol. 39(C), pages 24-43.
    16. Han, Seung-Oh & Huh, Sahn-Wook & Park, Jeayoung, 2023. "Detecting jumps amidst prevalent zero returns: Evidence from the U.S. Treasury securities," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 276-307.
    17. Lin, Hai & Lo, Ingrid & Qiao, Rui, 2021. "Macroeconomic news announcements and market efficiency: Evidence from the U.S. Treasury market," Journal of Banking & Finance, Elsevier, vol. 133(C).
    18. Schneider, Michael & Lillo, Fabrizio & Pelizzon, Loriana, 2016. "How has sovereign bond market liquidity changed? An illiquidity spillover analysis," SAFE Working Paper Series 151, Leibniz Institute for Financial Research SAFE.
    19. Mariano González-Sánchez & Eva M. Ibáñez Jiménez & Ana I. Segovia San Juan, 2021. "Market and Liquidity Risks Using Transaction-by-Transaction Information," Mathematics, MDPI, vol. 9(14), pages 1-14, July.

  18. Fabrizio Cipollini & Robert F. Engle & Giampiero M. Gallo, 2009. "Semiparametric vector MEM," Econometrics Working Papers Archive wp2009_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".

    Cited by:

    1. Fabrizio Cipollini & Giampiero Gallo & Andrea Ugolini, 2016. "Median Response to Shocks: A Model for VaR Spillovers in East Asia," Econometrics Working Papers Archive 2016_01, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    2. Giampiero M. Gallo & Edoardo Otranto, 2012. "Realized Volatility and Change of Regimes," Econometrics Working Papers Archive 2012_02, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Jul 2012.
    3. Geert Dhaene & Piet Sercu & Jianbin Wu, 2022. "Volatility spillovers: A sparse multivariate GARCH approach with an application to commodity markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(5), pages 868-887, May.
    4. Bodnar, Taras & Hautsch, Nikolaus, 2016. "Dynamic conditional correlation multiplicative error processes," Journal of Empirical Finance, Elsevier, vol. 36(C), pages 41-67.
    5. Fabrizio Cipollini & Robert F. Engle & Giampiero M. Gallo, 2017. "Copula-based vMEM Specifications versus Alternatives: The Case of Trading Activity," Econometrics Working Papers Archive 2017_02, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    6. Giampiero M. Gallo & Demetrio Lacava & Edoardo Otranto, 2023. "Volatility jumps and the classification of monetary policy announcements," Papers 2305.12192, arXiv.org.
    7. Ng, F.C. & Li, W.K. & Yu, Philip L.H., 2016. "Diagnostic checking of the vector multiplicative error model," Computational Statistics & Data Analysis, Elsevier, vol. 94(C), pages 86-97.
    8. Driton Kuçi, 2015. "Contemporary Models of Organization of Power and the Macedonian Model of Organization of Power," European Journal of Interdisciplinary Studies Articles, Revistia Research and Publishing, vol. 1, September.
    9. Donelli, Nicola & Peluso, Stefano & Mira, Antonietta, 2021. "A Bayesian semiparametric vector Multiplicative Error Model," Computational Statistics & Data Analysis, Elsevier, vol. 161(C).
    10. Karanasos, Menelaos & Xu, Yongdeng & Yfanti, Stavroula, 2017. "Constrained QML Estimation for Multivariate Asymmetric MEM with Spillovers: The Practicality of Matrix Inequalities," Cardiff Economics Working Papers E2017/14, Cardiff University, Cardiff Business School, Economics Section.
    11. Fabrizio Cipollini & Giampiero M. Gallo & Edoardo Otranto, 2019. "Realized Volatility Forecasting: Robustness to Measurement Errors," Econometrics Working Papers Archive 2019_04, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    12. Christian T. Brownlees & Fabrizio Cipollini & Giampiero M. Gallo, 2011. "Multiplicative Error Models," Econometrics Working Papers Archive 2011_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Apr 2011.
    13. Fabrizio Cipollini & Giampiero M. Gallo & Alessandro Palandri, 2020. "A dynamic conditional approach to portfolio weights forecasting," Papers 2004.12400, arXiv.org.
    14. Fabrizio Cipollini & Giampiero M Gallo & Alessandro Palandri, 2020. "Realized Variance Modeling: Decoupling Forecasting from Estimation," Journal of Financial Econometrics, Oxford University Press, vol. 18(3), pages 532-555.
    15. Xu, Yongdeng, 2022. "The Exponential HEAVY Model: An Improved Approach to Volatility Modeling and Forecasting," Cardiff Economics Working Papers E2022/5, Cardiff University, Cardiff Business School, Economics Section.
    16. Fabrizio Cipollini & Giampiero M. Gallo, 2021. "Multiplicative Error Models: 20 years on," Papers 2107.05923, arXiv.org.
    17. E. Otranto, 2012. "Spillover Effects in the Volatility of Financial Markets," Working Paper CRENoS 201217, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    18. E. Otranto, 2024. "A Vector Multiplicative Error Model with Spillover Effects and Co-movements," Working Paper CRENoS 202404, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    19. Naimoli, Antonio & Storti, Giuseppe, 2019. "Heterogeneous component multiplicative error models for forecasting trading volumes," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1332-1355.
    20. Gallo, Giampiero M. & Otranto, Edoardo, 2015. "Forecasting realized volatility with changing average levels," International Journal of Forecasting, Elsevier, vol. 31(3), pages 620-634.
    21. Fabrizio Cipollini & Robert F. Engle & Giampiero M. Gallo, 2016. "Copula--based Specification of vector MEMs," Econometrics Working Papers Archive 2016_04, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    22. Cipollini, Fabrizio & Gallo, Giampiero M., 2010. "Automated variable selection in vector multiplicative error models," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2470-2486, November.
    23. Ke, Rui & Lu, Wanbo & Jia, Jing, 2021. "Evaluating multiplicative error models: A residual-based approach," Computational Statistics & Data Analysis, Elsevier, vol. 153(C).
    24. Abdelhakim Aknouche & Stefanos Dimitrakopoulos, 2023. "Autoregressive conditional proportion: A multiplicative‐error model for (0,1)‐valued time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(4), pages 393-417, July.
    25. Francesco Calvori & Drew Creal & Siem Jan Koopman & Andre Lucas, 2014. "Testing for Parameter Instability in Competing Modeling Frameworks," Tinbergen Institute Discussion Papers 14-010/IV/DSF71, Tinbergen Institute.
    26. Lien, Donald & Lee, Geul & Yang, Li & Zhang, Yuyin, 2018. "Volatility spillovers among the U.S. and Asian stock markets: A comparison between the periods of Asian currency crisis and subprime credit crisis," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 187-201.
    27. Bodnar, Taras & Hautsch, Nikolaus, 2013. "Copula-based dynamic conditional correlation multiplicative error processes," CFS Working Paper Series 2013/19, Center for Financial Studies (CFS).
    28. Cipollini, Fabrizio & Gallo, Giampiero M., 2019. "Modeling Euro STOXX 50 volatility with common and market-specific components," Econometrics and Statistics, Elsevier, vol. 11(C), pages 22-42.
    29. Hira L. Koul & Indeewara Perera & Narayana Balakrishna, 2023. "A class of Minimum Distance Estimators in Markovian Multiplicative Error Models," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 87-115, May.
    30. Giampiero M. Gallo & Edoardo Otranto, 2014. "Forecasting Realized Volatility with Changes of Regimes," Econometrics Working Papers Archive 2014_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Feb 2014.
    31. Giampiero M. Gallo & Edoardo Otranto, 2018. "Combining sharp and smooth transitions in volatility dynamics: a fuzzy regime approach," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 67(3), pages 549-573, April.
    32. Cipollini, Fabrizio & Gallo, Giampiero M. & Palandri, Alessandro, 2021. "A dynamic conditional approach to forecasting portfolio weights," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1111-1126.
    33. Chiranjit Dutta & Nalini Ravishanker & Sumanta Basu, 2022. "Modeling Multivariate Positive-Valued Time Series Using R-INLA," Papers 2206.05374, arXiv.org, revised Jul 2022.

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    1. Hiroyuki Kawakatsu, 2022. "Local projection variance impulse response," Empirical Economics, Springer, vol. 62(3), pages 1219-1244, March.
    2. Matteo Barigozzi & Christian T. Brownlees & Giampiero M. Gallo & David Veredas, 2010. "Disentangling Systematic and Idiosyncratic Risk for Large Panels of Assets," Econometrics Working Papers Archive wp2010_06, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    3. Asgharian, Hossein & Christiansen, Charlotte & Hou, Ai Jun & Wang, Weining, 2020. "Long- and Short-Run Components of Factor Betas: Implications for Stock Pricing," IRTG 1792 Discussion Papers 2020-020, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    4. Hafner, Christian M. & Linton, Oliver, 2010. "Efficient estimation of a multivariate multiplicative volatility model," Journal of Econometrics, Elsevier, vol. 159(1), pages 55-73, November.
    5. Hossein Hassani & Mohammad Reza Yeganegi & Rangan Gupta & Riza Demirer, 2018. "Forecasting Stock Market (Realized) Volatility in the United Kingdom: Is There a Role for Economic Inequality?," Working Papers 201880, University of Pretoria, Department of Economics.
    6. de Almeida, Daniel & Hotta, Luiz K. & Ruiz, Esther, 2018. "MGARCH models: Trade-off between feasibility and flexibility," International Journal of Forecasting, Elsevier, vol. 34(1), pages 45-63.
    7. Riza Demirer & Rangan Gupta & He Li & Yu You, 2021. "Financial Vulnerability and Volatility in Emerging Stock Markets: Evidence from GARCH-MIDAS Models," Working Papers 202112, University of Pretoria, Department of Economics.
    8. Luc Bauwens & Christian M. Hafner & Diane Pierret, 2011. "Multivariate Volatility Modeling of Electricity Futures," SFB 649 Discussion Papers SFB649DP2011-063, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    9. Azad, A.S.M. Sohel & Chazi, Abdelaziz & Cooper, Peter & Ahsan, Amirul, 2017. "What determines the Japanese corporate credit spread? A new evidence," Research in International Business and Finance, Elsevier, vol. 41(C), pages 354-361.
    10. Clark Lundberg, 2019. "Identifying horizon-based heterogeneity in the cross section of portfolio returns," Economics Bulletin, AccessEcon, vol. 39(2), pages 1163-1175.
    11. Bauwens, L. & Hafner C. & Laurent, S., 2011. "Volatility Models," LIDAM Discussion Papers ISBA 2011044, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
      • BAUWENS, Luc & HAFNER, Christian & LAURENT, Sébastien, 2011. "Volatility models," LIDAM Discussion Papers CORE 2011058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
      • Bauwens, L. & Hafner, C. & Laurent, S., 2012. "Volatility Models," LIDAM Reprints ISBA 2012028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    12. João F. Caldeira & Guilherme V. Moura & Francisco J. Nogales & André A. P. Santos, 2017. "Combining Multivariate Volatility Forecasts: An Economic-Based Approach," Journal of Financial Econometrics, Oxford University Press, vol. 15(2), pages 247-285.
    13. Azad, A.S.M. Sohel & Azmat, Saad & Hayat, Aziz, 2023. "What determines the profitability of Islamic banks: Lending or fee?," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 882-896.
    14. Afees A. Salisu & Riza Demirer & Rangan Gupta, 2023. "Technological Shocks and Stock Market Volatility Over a Century: A GARCH-MIDAS Approach," Working Papers 202308, University of Pretoria, Department of Economics.
    15. Xinyu Song, 2019. "Large Volatility Matrix Prediction with High-Frequency Data," Papers 1907.01196, arXiv.org, revised Sep 2019.
    16. Barigozzi, Matteo & Hallin, Mark, 2015. "Generalized dynamic factor models and volatilities: recovering the market volatility shocks," LSE Research Online Documents on Economics 60980, London School of Economics and Political Science, LSE Library.
    17. Azad, A.S.M. Sohel & Fang, Victor & Hung, Chi-Hsiou, 2012. "Linking the interest rate swap markets to the macroeconomic risk: The UK and us evidence," International Review of Financial Analysis, Elsevier, vol. 22(C), pages 38-47.
    18. Jin, Xin & Maheu, John M., 2016. "Modeling covariance breakdowns in multivariate GARCH," Journal of Econometrics, Elsevier, vol. 194(1), pages 1-23.
    19. Afees A. Salisu & Rangan Gupta & Ahamuefula E. Ogbonna, 2019. "A Moving Average Heterogeneous Autoregressive Model for Forecasting the Realized Volatility of the US Stock Market: Evidence from Over a Century of Data," Working Papers 201978, University of Pretoria, Department of Economics.
    20. Acatrinei, Marius & Gorun, Adrian & Marcu, Nicu, 2013. "A DCC-GARCH Model To Estimate the Risk to the Capital Market in Romania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 136-148, March.
    21. Damian S. Damianov & Diego Escobari, 2021. "Getting on and Moving Up the Property Ladder: Real Hedging in the U.S. Housing Market Before and After the Crisis," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(4), pages 1201-1237, December.
    22. Azmat, Saad & Azad, A.S.M. Sohel & Ghaffar, Hamza & Hayat, Aziz & Chazi, Abdelaziz, 2020. "Conventional vs Islamic banking and macroeconomic risk: Impact on asset price bubbles," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    23. Rangan Gupta & Mark Wohar, 2019. "The role of monetary policy uncertainty in predicting equity market volatility of the United Kingdom: evidence from over 150 years of data," Economics and Business Letters, Oviedo University Press, vol. 8(3), pages 138-146.
    24. Azad, A.S.M. Sohel & Batten, Jonathan A. & Fang, Victor, 2015. "What determines the yen swap spread?," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 1-13.
    25. Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2021. "Investor Confidence and Forecastability of US Stock Market Realized Volatility : Evidence from Machine Learning," Working Papers 202118, University of Pretoria, Department of Economics.
    26. Barigozzi, Matteo & Hallin, Marc, 2017. "Generalized dynamic factor models and volatilities estimation and forecasting," LSE Research Online Documents on Economics 67455, London School of Economics and Political Science, LSE Library.
    27. Afees A. Salisu & Rangan Gupta & Elie Bouri & Qiang Ji, 2022. "Mixed‐frequency forecasting of crude oil volatility based on the information content of global economic conditions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 134-157, January.
    28. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2013. "Financial Risk Measurement for Financial Risk Management," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1127-1220, Elsevier.
    29. Audrino, Francesco, 2014. "Forecasting correlations during the late-2000s financial crisis: The short-run component, the long-run component, and structural breaks," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 43-60.
    30. Peter Christoffersen & Hugues Langlois, 2011. "The Joint Dynamics of Equity Market Factors," CREATES Research Papers 2011-45, Department of Economics and Business Economics, Aarhus University.
    31. Afees A. Salisu & Riza Demirer & Rangan Gupta, 2021. "Financial Turbulence, Systemic Risk and the Predictability of Stock Market Volatility," Working Papers 202162, University of Pretoria, Department of Economics.
    32. Kim, Donggyu & Fan, Jianqing, 2019. "Factor GARCH-Itô models for high-frequency data with application to large volatility matrix prediction," Journal of Econometrics, Elsevier, vol. 208(2), pages 395-417.
    33. Afees A. Salisu & Rangan Gupta & Elie Bouri, 2022. "Testing the Forecasting Power of Global Economic Conditions for the Volatility of International REITs using a GARCH-MIDAS Approach," Working Papers 202211, University of Pretoria, Department of Economics.
    34. Opschoor, Anne & van Dijk, Dick & van der Wel, Michel, 2014. "Predicting volatility and correlations with Financial Conditions Indexes," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 435-447.
    35. Cenesizoglu, Tolga & Reeves, Jonathan J., 2018. "CAPM, components of beta and the cross section of expected returns," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 223-246.
    36. Matteo Barigozzi & Christian T. Brownlees & Giampiero M. Gallo & David Veredas, 2014. "Disentangling Systematic and Idiosyncratic Dynamics in Panels of Volatility Measures," Econometrics Working Papers Archive 2014_02, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Feb 2014.
    37. Tolga Cenesizoglu & Jonathan J. Reeves, 2013. "CAPM, Components of Beta and the Cross Section of Expected Returns," CIRANO Working Papers 2013s-09, CIRANO.
    38. Linton, Oliver & Wu, Jianbin, 2020. "A coupled component DCS-EGARCH model for intraday and overnight volatility," Journal of Econometrics, Elsevier, vol. 217(1), pages 176-201.
    39. Afees A. Salisu & Wenting Liao & Rangan Gupta & Oguzhan Cepni, 2023. "Economic Conditions and Predictability of US Stock Returns Volatility: Local Factor versus National Factor in a GARCH-MIDAS Model," Working Papers 202323, University of Pretoria, Department of Economics.
    40. Sohel Azad, A.S.M. & Batten, Jonathan A. & Fang, Victor & Wickramanayake, Jayasinghe, 2015. "International swap market contagion and volatility," Economic Modelling, Elsevier, vol. 47(C), pages 355-371.
    41. Busch, Ramona & Koziol, Philipp & Mitrovic, Marc, 2018. "Many a little makes a mickle: Stress testing small and medium-sized German banks," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 237-253.
    42. Kwangmin Jung & Donggyu Kim & Seunghyeon Yu, 2021. "Next Generation Models for Portfolio Risk Management: An Approach Using Financial Big Data," Papers 2102.12783, arXiv.org, revised Feb 2022.
    43. Ruipeng Liu & Rangan Gupta & Elie Bouri, 2021. "Conventional and Unconventional Monetary Policy Rate Uncertainty and Stock Market Volatility: A Forecasting Perspective," Working Papers 202178, University of Pretoria, Department of Economics.
    44. Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2020. "Forecasting Realized Stock-Market Volatility: Do Industry Returns have Predictive Value?," Working Papers 2020107, University of Pretoria, Department of Economics.
    45. Jiawen Luo & Oguzhan Cepni & Riza Demirer & Rangan Gupta, 2022. "Forecasting Multivariate Volatilities with Exogenous Predictors: An Application to Industry Diversification Strategies," Working Papers 202258, University of Pretoria, Department of Economics.
    46. Anne Opschoor & Dick van Dijk & Michel van der Wel, 2013. "Predicting Covariance Matrices with Financial Conditions Indexes," Tinbergen Institute Discussion Papers 13-113/III, Tinbergen Institute.
    47. Matteo Barigozzi & Marc Hallin, 2015. "Networks, Dynamic Factors, and the Volatility Analysis of High-Dimensional Financial Series," Papers 1510.05118, arXiv.org, revised Jul 2016.
    48. Kwangmin Jung & Donggyu Kim & Seunghyeon Yu, 2022. "Next generation models for portfolio risk management: An approach using financial big data," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(3), pages 765-787, September.
    49. H. J. Turtle & Kainan Wang, 2014. "Modeling Conditional Covariances With Economic Information Instruments," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(2), pages 217-236, April.
    50. Pan, Zhiyuan & Wang, Yudong & Liu, Li, 2016. "The relationships between petroleum and stock returns: An asymmetric dynamic equi-correlation approach," Energy Economics, Elsevier, vol. 56(C), pages 453-463.
    51. Matteo Barigozzi & Marc Hallin & Stefano Soccorsi, 2017. "Identification of Global and National Shocks in International Financial Markets via General Dynamic Factor Models," Working Papers ECARES ECARES 2017-10, ULB -- Universite Libre de Bruxelles.
    52. Conrad, Christian & Glas, Alexander, 2018. "‘Déjà vol’ revisited: Survey forecasts of macroeconomic variables predict volatility in the cross-section of industry portfolios," Working Papers 0655, University of Heidelberg, Department of Economics.
    53. Gupta, Rangan & Pierdzioch, Christian & Selmi, Refk & Wohar, Mark E., 2018. "Does partisan conflict predict a reduction in US stock market (realized) volatility? Evidence from a quantile-on-quantile regression model☆," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 87-96.
    54. Elena Goldman & Xiangjin Shen, 2018. "Analysis of Asymmetric GARCH Volatility Models with Applications to Margin Measurement," Staff Working Papers 18-21, Bank of Canada.
    55. Turtle, H.J. & Wang, Kainan, 2016. "The benefits of improved covariance estimation," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 233-246.
    56. Hossein Hassani & Mohammad Reza Yeganegi & Rangan Gupta & Riza Demirer, 2022. "Forecasting stock market (realized) volatility in the United Kingdom: Is there a role of inequality?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2146-2152, April.

  20. Engle Robert F. & Rangel José Gonzalo, 2009. "High and Low Frequency Correlations in Global Equity Markets," Working Papers 2009-17, Banco de México.

    Cited by:

    1. José Rangel & Robert Engle, 2012. "The Factor–Spline–GARCH Model for High and Low Frequency Correlations," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 109-124.
    2. Hernandez, Manuel A. & Ibarra, Raul & Trupkin, Danilo R., 2011. "How far do shocks move across borders?: Examining volatility transmission in major agricultural futures markets," IFPRI discussion papers 1109, International Food Policy Research Institute (IFPRI).
    3. Clark Lundberg, 2019. "Identifying horizon-based heterogeneity in the cross section of portfolio returns," Economics Bulletin, AccessEcon, vol. 39(2), pages 1163-1175.
    4. Asako, Kazumi & Liu, Zhentao, 2013. "A statistical model of speculative bubbles, with applications to the stock markets of the United States, Japan, and China," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2639-2651.
    5. Busch, Ramona & Koziol, Philipp & Mitrovic, Marc, 2015. "Many a little makes a mickle: Macro portfolio stress test for small and medium-sized German banks," Discussion Papers 23/2015, Deutsche Bundesbank.
    6. Tolga Cenesizoglu & Jonathan J. Reeves, 2013. "CAPM, Components of Beta and the Cross Section of Expected Returns," CIRANO Working Papers 2013s-09, CIRANO.
    7. Contessi, Silvio & De Pace, Pierangelo & Guidolin, Massimo, 2014. "How did the financial crisis alter the correlations of U.S. yield spreads?," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 362-385.
    8. Busch, Ramona & Koziol, Philipp & Mitrovic, Marc, 2018. "Many a little makes a mickle: Stress testing small and medium-sized German banks," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 237-253.

  21. Robert F. Engle & Giampiero M. Gallo & Margherita Velucchi, 2008. "A MEM-based Analysis of Volatility Spillovers in East Asian Financial Markets," Econometrics Working Papers Archive wp2008_09, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".

    Cited by:

    1. Balli, Faruk & Balli, Hatice O. & Jean Louis, Rosmy & Vo, Tuan Kiet, 2015. "The transmission of market shocks and bilateral linkages: Evidence from emerging economies," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 349-357.
    2. Vít Bubák & Evžen Kocenda & Filip Zikes, 2010. "Volatility Transmission in Emerging European Foreign Exchange Markets," CESifo Working Paper Series 3063, CESifo.
    3. John Beirne & Guglielmo Maria Caporale & Marianne Schulze-Ghattas & Nicola Spagnolo, 2009. "Global and Regional Spillovers in Emerging Stock Markets: A Multivariate GARCH-in-Mean Analysis," Discussion Papers of DIW Berlin 942, DIW Berlin, German Institute for Economic Research.
    4. Serda Selin Öztürk & Engin Volkan, 2015. "Intraindustry Volatility Spillovers in the MENA Region," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(6), pages 1163-1174, November.
    5. Mr. Phurichai Rungcharoenkitkul, 2011. "Risk Sharing and Financial Contagion in Asia: An Asset Price Perspective," IMF Working Papers 2011/242, International Monetary Fund.
    6. Andreou, Elena & Matsi, Maria & Savvides, Andreas, 2013. "Stock and foreign exchange market linkages in emerging economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 248-268.

  22. Neil Shephard & Kevin Sheppard & Robert F. Engle, 2008. "Fitting vast dimensional time-varying covariance models," Economics Series Working Papers 403, University of Oxford, Department of Economics.

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    1. Zhao Zhao & Olivier Ledoit & Hui Jiang, 2019. "Risk reduction and efficiency increase in large portfolios: leverage and shrinkage," ECON - Working Papers 328, Department of Economics - University of Zurich, revised Jan 2020.
    2. Francq, Christian & Zakoian, Jean-Michel, 2014. "Estimating multivariate GARCH and stochastic correlation models equation by equation," MPRA Paper 54250, University Library of Munich, Germany.
    3. Tu, Anthony H. & Chen, Cathy Yi-Hsuan, 2018. "A factor-based approach of bond portfolio value-at-risk: The informational roles of macroeconomic and financial stress factors," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 243-268.
    4. Caporin, M. & McAleer, M.J., 2011. "Ranking Multivariate GARCH Models by Problem Dimension: An Empirical Evaluation," Econometric Institute Research Papers EI 2011-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Kastner, Gregor, 2019. "Sparse Bayesian time-varying covariance estimation in many dimensions," Journal of Econometrics, Elsevier, vol. 210(1), pages 98-115.
    6. Márcio Gomes Pinto Garcia & Marcelo Cunha Medeiros & Francisco Eduardo de Luna e Almeida Santos, 2014. "Economic gains of realized volatility in the Brazilian stock market," Brazilian Review of Finance, Brazilian Society of Finance, vol. 12(3), pages 319-349.
    7. Nikolaus Hautsch & Lada M. Kyj & Peter Malec, 2013. "Do High-Frequency Data Improve High-Dimensional Portfolio Allocations?," SFB 649 Discussion Papers SFB649DP2013-014, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    8. Trucíos Maza, Carlos César & Mazzeu, João H. G. & Hallin, Marc & Hotta, Luiz Koodi & Pereira, Pedro L. Valls & Zevallos, Mauricio, 2019. "Forecasting conditional covariance matrices in high-dimensional time series: a general dynamic factor approach," Textos para discussão 505, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    9. Xiaoning Kang & Xinwei Deng & Kam‐Wah Tsui & Mohsen Pourahmadi, 2020. "On variable ordination of modified Cholesky decomposition for estimating time‐varying covariance matrices," International Statistical Review, International Statistical Institute, vol. 88(3), pages 616-641, December.
    10. Cavit Pakel & Neil Shephard & Kevin Sheppard, 2009. "Nuisance parameters, composite likelihoods and a panel of GARCH models," OFRC Working Papers Series 2009fe03, Oxford Financial Research Centre.
    11. Varneskov, Rasmus & Voev, Valeri, 2013. "The role of realized ex-post covariance measures and dynamic model choice on the quality of covariance forecasts," Journal of Empirical Finance, Elsevier, vol. 20(C), pages 83-95.
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    13. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things You Should Know About the Dynamic Conditional Correlation Representation," Working Papers in Economics 13/21, University of Canterbury, Department of Economics and Finance.
    14. João Caldeira & Guilherme Moura & André Santos, 2015. "Measuring Risk in Fixed Income Portfolios using Yield Curve Models," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 65-82, June.
    15. João Caldeira & Guilherme Moura & André A.P. Santos, 2012. "Portfolio optimization using a parsimonious multivariate GARCH model: application to the Brazilian stock market," Economics Bulletin, AccessEcon, vol. 32(3), pages 1848-1857.
    16. Sihong Chen & Qi Li & Qiaoyu Wang & Yu Yvette Zhang, 2023. "Multivariate models of commodity futures markets: a dynamic copula approach," Empirical Economics, Springer, vol. 64(6), pages 3037-3057, June.
    17. de Almeida, Daniel & Hotta, Luiz K. & Ruiz, Esther, 2018. "MGARCH models: Trade-off between feasibility and flexibility," International Journal of Forecasting, Elsevier, vol. 34(1), pages 45-63.
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    19. BAUWENS, Luc & STORTI, Giuseppe, 2013. "Computationally efficient inference procedures for vast dimensional realized covariance models," LIDAM Reprints CORE 2469, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    20. Massimiliano Caporin & Michael McAleer, 2009. "Do We Really Need Both BEKK and DCC? A Tale of Two Covariance Models," CARF F-Series CARF-F-156, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    21. Lucien Boulet, 2021. "Forecasting High-Dimensional Covariance Matrices of Asset Returns with Hybrid GARCH-LSTMs," Papers 2109.01044, arXiv.org.
    22. Raddant, Matthias & Wagner, Friedrich, 2016. "Multivariate GARCH for a large number of stocks," Kiel Working Papers 2049, Kiel Institute for the World Economy (IfW Kiel).
    23. Olivier Ledoit & Michael Wolf, 2019. "The power of (non-)linear shrinking: a review and guide to covariance matrix estimation," ECON - Working Papers 323, Department of Economics - University of Zurich, revised Feb 2020.
    24. Peter Christoffersen & Vihang Errunza & Kris Jacobs & Hugues Langlois, 2012. "Is the Potential for International Diversi?cation Disappearing? A Dynamic Copula Approach," CREATES Research Papers 2012-48, Department of Economics and Business Economics, Aarhus University.
    25. Massimiliano Caporin & Michael McAleer, 2010. "Do We Really Need Both BEKK and DCC? A Tale of Two Multivariate GARCH Models," KIER Working Papers 738, Kyoto University, Institute of Economic Research.
    26. Santos, André A.P. & Nogales, Francisco J. & Ruiz, Esther & Dijk, Dick Van, 2012. "Optimal portfolios with minimum capital requirements," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1928-1942.
    27. José Rangel & Robert Engle, 2012. "The Factor–Spline–GARCH Model for High and Low Frequency Correlations," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 109-124.
    28. Adam Clements & Ayesha Scott & Annastiina Silvennoinen, 2019. "Volatility-dependent correlations: further evidence of when, where and how," Empirical Economics, Springer, vol. 57(2), pages 505-540, August.
    29. Gian Piero Aielli, 2013. "Dynamic Conditional Correlation: On Properties and Estimation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 282-299, July.
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      • BAUWENS, Luc & HAFNER, Christian & LAURENT, Sébastien, 2011. "Volatility models," LIDAM Discussion Papers CORE 2011058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
      • Bauwens, L. & Hafner, C. & Laurent, S., 2012. "Volatility Models," LIDAM Reprints ISBA 2012028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    32. Engle Robert F. & Rangel José Gonzalo, 2009. "High and Low Frequency Correlations in Global Equity Markets," Working Papers 2009-17, Banco de México.
    33. Dong Hwan Oh & Andrew J. Patton, 2015. "High-Dimensional Copula-Based Distributions with Mixed Frequency Data," Finance and Economics Discussion Series 2015-50, Board of Governors of the Federal Reserve System (U.S.).
    34. Tim Bollerslev & Andrew J. Patton & Rogier Quaedvlieg, 2016. "Modeling and Forecasting (Un)Reliable Realized Covariances for More Reliable Financial Decisions," CREATES Research Papers 2016-10, Department of Economics and Business Economics, Aarhus University.
    35. BAUWENS, Luc & BRAIONE, Manuela & STORTI, Giuseppe, 2016. "Multiplicative Conditional Correlation Models for Realized Covariance Matrices," LIDAM Discussion Papers CORE 2016041, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    36. João F. Caldeira & Guilherme V. Moura & Francisco J. Nogales & André A. P. Santos, 2017. "Combining Multivariate Volatility Forecasts: An Economic-Based Approach," Journal of Financial Econometrics, Oxford University Press, vol. 15(2), pages 247-285.
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    40. Robert F. Engle & Olivier Ledoit & Michael Wolf, 2016. "Large dynamic covariance matrices," ECON - Working Papers 231, Department of Economics - University of Zurich, revised Apr 2017.
    41. Canova, Fabio & Matthes, Christian, 2018. "A composite likelihood approach for dynamic structural models," CEPR Discussion Papers 13245, C.E.P.R. Discussion Papers.
    42. Mensah, Jones Odei & Premaratne, Gamini, 2014. "Dependence patterns among Banking Sectors in Asia: A Copula Approach," MPRA Paper 60119, University Library of Munich, Germany.
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    44. Gonçalves, Sílvia & Kaffo, Maximilien, 2015. "Bootstrap inference for linear dynamic panel data models with individual fixed effects," Journal of Econometrics, Elsevier, vol. 186(2), pages 407-426.
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    103. Conrad, Christian & Loch, Karin & Rittler, Daniel, 2014. "On the macroeconomic determinants of long-term volatilities and correlations in U.S. stock and crude oil markets," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 26-40.
    104. Andrew J. Patton & Kevin Sheppard, 2015. "Good Volatility, Bad Volatility: Signed Jumps and The Persistence of Volatility," The Review of Economics and Statistics, MIT Press, vol. 97(3), pages 683-697, July.
    105. Xisong Jin, 2024. "Decomposing systemic risk measures by bank business model in Luxembourg," BCL working papers 182, Central Bank of Luxembourg.
    106. Xisong Jin & Francisco Nadal De Simone, 2013. "Banking Systemic Vulnerabilities: A Tail-risk Dynamic CIMDO Approach," BCL working papers 82, Central Bank of Luxembourg.
    107. Anne Opschoor & Dick van Dijk & Michel van der Wel, 2013. "Predicting Covariance Matrices with Financial Conditions Indexes," Tinbergen Institute Discussion Papers 13-113/III, Tinbergen Institute.
    108. Hafner, Christian M. & Wang, Linqi, 2022. "Dynamic portfolio selection with sector-specific regularization," LIDAM Reprints ISBA 2022013, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    109. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    110. Yfanti, Stavroula & Karanasos, Menelaos & Zopounidis, Constantin & Christopoulos, Apostolos, 2023. "Corporate credit risk counter-cyclical interdependence: A systematic analysis of cross-border and cross-sector correlation dynamics," European Journal of Operational Research, Elsevier, vol. 304(2), pages 813-831.
    111. Matteo Barigozzi & Marc Hallin, 2015. "Networks, Dynamic Factors, and the Volatility Analysis of High-Dimensional Financial Series," Papers 1510.05118, arXiv.org, revised Jul 2016.
    112. Erica Perego & Wessel N. Vermeulen, 2013. "Macroeconomic determinants of European stock and government bond relations: a tale of two regions," DEM Discussion Paper Series 13-08, Department of Economics at the University of Luxembourg.
    113. Matteo Barigozzi & Marc Hallin & Stefano Soccorsi, 2017. "Identification of Global and National Shocks in International Financial Markets via General Dynamic Factor Models," Working Papers ECARES ECARES 2017-10, ULB -- Universite Libre de Bruxelles.
    114. Christian Francq & Jean-Michel Zakoïan, 2016. "Estimating multivariate volatility models equation by equation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(3), pages 613-635, June.
    115. Jin Xisong & Lehnert Thorsten, 2018. "Large portfolio risk management and optimal portfolio allocation with dynamic elliptical copulas," Dependence Modeling, De Gruyter, vol. 6(1), pages 19-46, February.
    116. Pawel Janus & André Lucas & Anne Opschoor & Dick J.C. van Dijk, 2014. "New HEAVY Models for Fat-Tailed Returns and Realized Covariance Kernels," Tinbergen Institute Discussion Papers 14-073/IV, Tinbergen Institute, revised 19 Aug 2015.
    117. Gilles Zumbach, 2013. "The statistical properties of the innovations in multivariate ARCH processes in high dimensions," Quantitative Finance, Taylor & Francis Journals, vol. 13(1), pages 29-44, January.
    118. Bauwens, Luc & Ben Omrane, Walid & Rengifo, Erick, 2010. "Intradaily dynamic portfolio selection," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2400-2418, November.
    119. R. Ferreira, Alexandre & A. P. Santos, Andre, 2016. "On the choice of covariance specifications for portfolio selection problems," MPRA Paper 73259, University Library of Munich, Germany.

  23. Fabrizio Cipollini & Robert F. Engle & Giampiero M. Gallo, 2007. "A Model for Multivariate Non-negative Valued Processes in Financial Econometrics," Econometrics Working Papers Archive wp2007_16, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".

    Cited by:

    1. Fabrizio Cipollini & Robert F. Engle & Giampiero M. Gallo, 2013. "Semiparametric Vector Mem," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(7), pages 1067-1086, November.
    2. Luintel, Kul B & Xu, Yongdeng, 2013. "Testing weak exogeneity in multiplicative error models," Cardiff Economics Working Papers E2013/6, Cardiff University, Cardiff Business School, Economics Section.
    3. Matteo Barigozzi & Christian T. Brownlees & Giampiero M. Gallo & David Veredas, 2010. "Disentangling Systematic and Idiosyncratic Risk for Large Panels of Assets," Econometrics Working Papers Archive wp2010_06, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    4. Bodnar, Taras & Hautsch, Nikolaus, 2016. "Dynamic conditional correlation multiplicative error processes," Journal of Empirical Finance, Elsevier, vol. 36(C), pages 41-67.
    5. Ng, F.C. & Li, W.K. & Yu, Philip L.H., 2016. "Diagnostic checking of the vector multiplicative error model," Computational Statistics & Data Analysis, Elsevier, vol. 94(C), pages 86-97.
    6. Heejoon Han & Dennis Kristensen, 2012. "Asymptotic Theory for the QMLE in GARCH-X Models with Stationary and Non-Stationary Covariates," CREATES Research Papers 2012-25, Department of Economics and Business Economics, Aarhus University.
    7. Huiling Yuan & Guodong Li & Junhui Wang, 2022. "High-Frequency-Based Volatility Model with Network Structure," Papers 2204.12933, arXiv.org.
    8. Christian T. Brownlees & Fabrizio Cipollini & Giampiero M. Gallo, 2011. "Multiplicative Error Models," Econometrics Working Papers Archive 2011_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Apr 2011.
    9. Peter Reinhard Hansen & Zhuo Huang, 2012. "Exponential GARCH Modeling with Realized Measures of Volatility," Economics Working Papers ECO2012/26, European University Institute.
    10. E. Otranto, 2012. "Spillover Effects in the Volatility of Financial Markets," Working Paper CRENoS 201217, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    11. Neil Shephard & Kevin Sheppard, 2009. "Realising the future: forecasting with high frequency based volatility (HEAVY) models," Economics Papers 2009-W03, Economics Group, Nuffield College, University of Oxford.
    12. Stanislav Anatolyev & Nikolay Gospodinov, 2015. "Multivariate return decomposition: theory and implications," FRB Atlanta Working Paper 2015-7, Federal Reserve Bank of Atlanta.
    13. Diaa Noureldin & Neil Shephard & Kevin Sheppard, 2012. "Multivariate high‐frequency‐based volatility (HEAVY) models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(6), pages 907-933, September.
    14. Cipollini, Fabrizio & Gallo, Giampiero M., 2010. "Automated variable selection in vector multiplicative error models," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2470-2486, November.
    15. Heejoon Han & Myung D. Park, 2013. "Comparison of Realized Measure and Implied Volatility in Forecasting Volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(6), pages 522-533, September.
    16. Lien, Donald & Lee, Geul & Yang, Li & Zhang, Yuyin, 2018. "Volatility spillovers among the U.S. and Asian stock markets: A comparison between the periods of Asian currency crisis and subprime credit crisis," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 187-201.
    17. Peter Reinhard Hansen & Zhuo (Albert) Huang & Howard Howan Shek, "undated". "Realized GARCH: A Complete Model of Returns and Realized Measures of Volatility," CREATES Research Papers 2010-13, Department of Economics and Business Economics, Aarhus University.
    18. N. Taylor & Y. Xu, 2017. "The logarithmic vector multiplicative error model: an application to high frequency NYSE stock data," Quantitative Finance, Taylor & Francis Journals, vol. 17(7), pages 1021-1035, July.

  24. Giovanni Barone-Adesi & Robert F. Engle & Loriano Mancini, 2007. "A GARCH Option Pricing Model in Incomplete Markets," Swiss Finance Institute Research Paper Series 07-03, Swiss Finance Institute.

    Cited by:

    1. Christophe Chorro & Dominique Guegan & Florian Ielpo, 2010. "Martingalized Historical approach for Option Pricing," PSE-Ecole d'économie de Paris (Postprint) halshs-00437927, HAL.
    2. Christophe Chorro & Dominique Guegan & Florian Ielpo, 2009. "Martingalized Historical approach for Option Pricing," Post-Print halshs-00376756, HAL.
    3. Juan-Pablo Ortega, 2012. "GARCH options via local risk minimization," Quantitative Finance, Taylor & Francis Journals, vol. 12(7), pages 1095-1110, May.
    4. Chorro, C. & Guégan, D. & Ielpo, F., 2010. "Martingalized historical approach for option pricing," Finance Research Letters, Elsevier, vol. 7(1), pages 24-28, March.
    5. Christophe Chorro & Dominique Guegan & Florian Ielpo, 2010. "Martingalized Historical approach for Option Pricing," Post-Print halshs-00437927, HAL.

  25. Fabrizio Cipollini & Robert F. Engle & Giampiero Gallo, 2006. "Vector Multiplicative Error Models: Representation and Inference," Econometrics Working Papers Archive wp2006_15, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".

    Cited by:

    1. Fabrizio Cipollini & Robert F. Engle & Giampiero M. Gallo, 2013. "Semiparametric Vector Mem," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(7), pages 1067-1086, November.
    2. Nikolaus Hautsch & Vahidin Jeleskovic, 2008. "Modelling High-Frequency Volatility and Liquidity Using Multiplicative Error Models," SFB 649 Discussion Papers SFB649DP2008-047, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    3. Anders Eriksson & Daniel P. A. Preve & Jun Yu, 2019. "Forecasting Realized Volatility Using a Nonnegative Semiparametric Model," JRFM, MDPI, vol. 12(3), pages 1-23, August.
    4. Geert Dhaene & Piet Sercu & Jianbin Wu, 2022. "Volatility spillovers: A sparse multivariate GARCH approach with an application to commodity markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(5), pages 868-887, May.
    5. Driton Kuçi, 2015. "Contemporary Models of Organization of Power and the Macedonian Model of Organization of Power," European Journal of Interdisciplinary Studies Articles, Revistia Research and Publishing, vol. 1, September.
    6. Donelli, Nicola & Peluso, Stefano & Mira, Antonietta, 2021. "A Bayesian semiparametric vector Multiplicative Error Model," Computational Statistics & Data Analysis, Elsevier, vol. 161(C).
    7. Ahoniemi, Katja & Lanne, Markku, 2007. "Joint Modeling of Call and Put Implied Volatility," MPRA Paper 6318, University Library of Munich, Germany.
    8. Drew Creal & Siem Jan Koopman & André Lucas, 2008. "A General Framework for Observation Driven Time-Varying Parameter Models," Tinbergen Institute Discussion Papers 08-108/4, Tinbergen Institute.
    9. Nikolaus Hautsch & Peter Malec & Melanie Schienle, 2010. "Capturing the Zero: A New Class of Zero-Augmented Distributions and Multiplicative Error Processes," SFB 649 Discussion Papers SFB649DP2010-055, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    10. Fabrizio Cipollini & Giampiero M. Gallo, 2021. "Multiplicative Error Models: 20 years on," Papers 2107.05923, arXiv.org.
    11. E. Otranto, 2012. "Spillover Effects in the Volatility of Financial Markets," Working Paper CRENoS 201217, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    12. Naimoli, Antonio & Storti, Giuseppe, 2019. "Heterogeneous component multiplicative error models for forecasting trading volumes," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1332-1355.
    13. Robert F. Engle & Giampiero M. Gallo & Margherita Velucchi, 2012. "Volatility Spillovers in East Asian Financial Markets: A Mem-Based Approach," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 222-223, February.
    14. Christian T. Brownlees & Giampiero Gallo, 2008. "Comparison of Volatility Measures: a Risk Management Perspective," Econometrics Working Papers Archive wp2008_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    15. Hautsch, Nikolaus, 2008. "Capturing common components in high-frequency financial time series: A multivariate stochastic multiplicative error model," Journal of Economic Dynamics and Control, Elsevier, vol. 32(12), pages 3978-4015, December.
    16. Lien, Donald & Lee, Geul & Yang, Li & Zhang, Yuyin, 2018. "Volatility spillovers among the U.S. and Asian stock markets: A comparison between the periods of Asian currency crisis and subprime credit crisis," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 187-201.
    17. Bodnar, Taras & Hautsch, Nikolaus, 2013. "Copula-based dynamic conditional correlation multiplicative error processes," CFS Working Paper Series 2013/19, Center for Financial Studies (CFS).
    18. Matteo Barigozzi & Christian T. Brownlees & Giampiero M. Gallo & David Veredas, 2014. "Disentangling Systematic and Idiosyncratic Dynamics in Panels of Volatility Measures," Econometrics Working Papers Archive 2014_02, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Feb 2014.
    19. Tafakori, Laleh & Pourkhanali, Armin & Fard, Farzad Alavi, 2018. "Forecasting spikes in electricity return innovations," Energy, Elsevier, vol. 150(C), pages 508-526.

  26. Robert Engle & Robert Ferstenberg, 2006. "Execution Risk," NBER Working Papers 12165, National Bureau of Economic Research, Inc.

    Cited by:

    1. Schoeneborn, Torsten & Schied, Alexander, 2007. "Liquidation in the Face of Adversity: Stealth Vs. Sunshine Trading, Predatory Trading Vs. Liquidity Provision," MPRA Paper 5548, University Library of Munich, Germany.
    2. Sasha Stoikov & Mehmet Sağlam, 2009. "Option market making under inventory risk," Review of Derivatives Research, Springer, vol. 12(1), pages 55-79, April.
    3. Colantonio Emiliano, 2013. "Betting Markets: Opportunities For Many?," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pages 200-208, December.
    4. Samuel N. Cohen & Lukasz Szpruch, 2011. "A limit order book model for latency arbitrage," Papers 1110.4811, arXiv.org.

  27. Robert F. Engle & Jose Gonzalo Rangel, 2005. "The Spline GARCH Model for Unconditional Volatility and its Global Macroeconomic Causes," Working Papers 2005/13, Czech National Bank.

    Cited by:

    1. Pramod Kumar, Naik & Puja, Padhi, 2012. "The impact of Macroeconomic Fundamentals on Stock Prices revisited: An Evidence from Indian Data," MPRA Paper 38980, University Library of Munich, Germany.
    2. Broto, Carmen & Díaz-Cassou, Javier & Erce, Aitor, 2011. "Measuring and explaining the volatility of capital flows to emerging countries," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 1941-1953, August.
    3. Tobias Adrian & Joshua V. Rosenberg, 2006. "Stock returns and volatility: pricing the short-run and long-run components of market risk," Staff Reports 254, Federal Reserve Bank of New York.
    4. báo, Kinh tế và Dự, 2022. "Tác động của lạm phát đến hoạt động của thị trường chứng khoán ở Việt Nam: Kiểm chứng bằng mô hình GARCH," OSF Preprints g56jw, Center for Open Science.
    5. Conrad, Christian & Loch, Karin, 2012. "Anticipating Long-Term Stock Market Volatility," Working Papers 0535, University of Heidelberg, Department of Economics.
    6. Francesco Audrino & Peter Bühlmann, 2007. "Splines for Financial Volatility," University of St. Gallen Department of Economics working paper series 2007 2007-11, Department of Economics, University of St. Gallen.
    7. Chun Liu & John M Maheu, 2007. "Are there Structural Breaks in Realized Volatility?," Working Papers tecipa-304, University of Toronto, Department of Economics.
    8. Baillie, Richard T. & Morana, Claudio, 2009. "Modelling long memory and structural breaks in conditional variances: An adaptive FIGARCH approach," Journal of Economic Dynamics and Control, Elsevier, vol. 33(8), pages 1577-1592, August.
    9. Colacito, Riccardo & Engle, Robert F. & Ghysels, Eric, 2011. "A component model for dynamic correlations," Journal of Econometrics, Elsevier, vol. 164(1), pages 45-59, September.
    10. Mai, Nhat Chi, 2022. "Tác động của lạm phát đến hoạt động của thị trường chứng khoán ở Việt Nam: Kiểm chứng bằng mô hình GARCH," OSF Preprints azcqd, Center for Open Science.
    11. Francis X. Diebold & Kamil Yilmaz, 2008. "Macroeconomic Volatility and Stock Market Volatility, World-Wide," PIER Working Paper Archive 08-031, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    12. Amado, Cristina & Teräsvirta, Timo, 2008. "Modelling Conditional and Unconditional Heteroskedasticity with Smoothly Time-Varying Structure," SSE/EFI Working Paper Series in Economics and Finance 691, Stockholm School of Economics.
    13. J. Doyne Farmer & John Geanakoplos, 2008. "The Virtues and Vices of Equilibrium and the Future of Financial Economics," Cowles Foundation Discussion Papers 1647, Cowles Foundation for Research in Economics, Yale University.
    14. Jozef Barunik & Tomas Krehlik, 2015. "Measuring the frequency dynamics of financial connectedness and systemic risk," Papers 1507.01729, arXiv.org, revised Dec 2017.
    15. Giuseppe Storti & Luc Bauwens, 2006. "A component GARCH model with time varying weights," Computing in Economics and Finance 2006 388, Society for Computational Economics.
    16. Xu, Ke-Li & Phillips, Peter C.B., 2008. "Adaptive estimation of autoregressive models with time-varying variances," Journal of Econometrics, Elsevier, vol. 142(1), pages 265-280, January.
    17. SUCARRAT, Genaro, 2006. "The first stage in Hendry’s reduction theory revisited," LIDAM Discussion Papers CORE 2006082, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    18. Ralf Becker & Adam Clements, 2007. "Forecasting stock market volatility conditional on macroeconomic conditions," NCER Working Paper Series 18, National Centre for Econometric Research.
    19. Godfrey Akileng & Abbot Anthony Ogwang & Charles Ssendyona, 2018. "Determinants of performance of securities exchanges in East Africa," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 7(3), pages 1-3.
    20. Lee, King Fuei, 2023. "Effects of Monetary Policy Frameworks on Stock Market Volatilities: An Empirical Study of Global Economies," MPRA Paper 119755, University Library of Munich, Germany.
    21. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2013. "Financial Risk Measurement for Financial Risk Management," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1127-1220, Elsevier.
    22. Zhijie Xiao & Luiz Renato Lima, 2007. "Testing Covariance Stationarity," Econometric Reviews, Taylor & Francis Journals, vol. 26(6), pages 643-667.
    23. Sayar Karmakar & Arkaprava Roy, 2020. "Bayesian modelling of time-varying conditional heteroscedasticity," Papers 2009.06007, arXiv.org, revised Mar 2021.
    24. Conrad, Christian & Loch, Karin & Rittler, Daniel, 2012. "On the Macroeconomic Determinants of the Long-Term Oil-Stock Correlation," Working Papers 0525, University of Heidelberg, Department of Economics.
    25. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2014. "Firm return volatility and economic gains: The role of oil prices," Economic Modelling, Elsevier, vol. 38(C), pages 142-151.
    26. Karmakar, Sayar & Richter, Stefan & Wu, Wei Biao, 2022. "Simultaneous inference for time-varying models," Journal of Econometrics, Elsevier, vol. 227(2), pages 408-428.
    27. Qin Xiao & Weihong Huang, 2010. "Risk and predictability of Singapore's private residential market," Quantitative Finance, Taylor & Francis Journals, vol. 10(5), pages 529-543.
    28. Barunik, Jozef & Krehlik, Tomas, 2016. "Measuring the frequency dynamics of financial and macroeconomic connectedness," FinMaP-Working Papers 54, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    29. Baele, Lieven & Inghelbrecht, Koen, 2009. "Time-varying Integration and International diversification strategies," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 368-387, June.
    30. Jean-Philippe Bouchaud & J. Doyne Farmer & Fabrizio Lillo, 2008. "How markets slowly digest changes in supply and demand," Papers 0809.0822, arXiv.org.
    31. Shehu Usman Rano, Aliyu, 2010. "Does inflation has an Impact on Stock Returns and Volatility? Evidence from Nigeria and Ghana," MPRA Paper 30091, University Library of Munich, Germany, revised 19 Mar 2011.

  28. Magdalena E. Sokalska & Ananda Chanda & Robert F. Engle, 2005. "High Frequency Multiplicative Component Garch," Computing in Economics and Finance 2005 409, Society for Computational Economics.

    Cited by:

    1. Xiufeng Yan, 2021. "Autoregressive conditional duration modelling of high frequency data," Papers 2111.02300, arXiv.org.
    2. Großmaß Lidan, 2014. "Liquidity and the Value at Risk," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(5), pages 572-602, October.
    3. GIOT, Pierre & GRAMMIG, Joachim, 2006. "How large is liquidity risk in an automated auction market?," LIDAM Reprints CORE 1846, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Dötz, Niko & Fischer, Christoph, 2010. "What can EMU countries' sovereign bond spreads tell us about market perceptions of default probabilities during the recent financial crisis?," Discussion Paper Series 1: Economic Studies 2010,11, Deutsche Bundesbank.
    5. Xiufeng Yan, 2021. "Multiplicative Component GARCH Model of Intraday Volatility," Papers 2111.02376, arXiv.org.
    6. Chen Xilong & Ghysels Eric & Wang Fangfang, 2011. "HYBRID GARCH Models and Intra-Daily Return Periodicity," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-28, February.

  29. Robert F. Engle & Giampiero M. Gallo, 2003. "A Multiple Indicators Model For Volatility Using Intra-Daily Data," Econometrics Working Papers Archive wp2003_07, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".

    Cited by:

    1. Drew Creal & Bernd Schwaab & Siem Jan Koopman & Andr� Lucas, 2014. "Observation-Driven Mixed-Measurement Dynamic Factor Models with an Application to Credit Risk," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 898-915, December.
    2. Henning Fischer & Ángela Blanco‐FERNÁndez & Peter Winker, 2016. "Predicting Stock Return Volatility: Can We Benefit from Regression Models for Return Intervals?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(2), pages 113-146, March.
    3. Roxana Halbleib & Valeri Voev, 2012. "Forecasting Covariance Matrices: A Mixed Frequency Approach," Working Paper Series of the Department of Economics, University of Konstanz 2012-30, Department of Economics, University of Konstanz.
    4. Chi, Tsung-Li & Liu, Hung-Tsen & Chang, Chia-Chien, 2023. "Hedging performance using google Trends–Evidence from the indian forex options market," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 107-123.
    5. Fabrizio Cipollini & Robert F. Engle & Giampiero M. Gallo, 2013. "Semiparametric Vector Mem," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(7), pages 1067-1086, November.
    6. Gunther Capelle-Blancard & Olena Havrylchyk, 2014. "The Impact of the French Securities Transaction Tax on Market Liquidity and Volatility," EconomiX Working Papers 2014-27, University of Paris Nanterre, EconomiX.
    7. Javier Mencía & Enrique Sentana, 2018. "Volatility-Related Exchange Traded Assets: An Econometric Investigation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(4), pages 599-614, October.
    8. Brownlees, Christian T. & Gallo, Giampiero M., 2011. "Shrinkage estimation of semiparametric multiplicative error models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 365-378.
    9. Drew Creal & Siem Jan Koopman & André Lucas, 2011. "A Dynamic Multivariate Heavy-Tailed Model for Time-Varying Volatilities and Correlations," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(4), pages 552-563, October.
    10. Markus Engler & Vahidin Jeleskovic, 2016. "Intraday volatility, trading volume and trading intensity in the interbank market e-MID," MAGKS Papers on Economics 201648, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    11. Nikolaus Hautsch & Vahidin Jeleskovic, 2008. "Modelling High-Frequency Volatility and Liquidity Using Multiplicative Error Models," SFB 649 Discussion Papers SFB649DP2008-047, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    12. Rombouts, Jeroen V.K. & Stentoft, Lars & Violante, Francesco, 2020. "Dynamics of variance risk premia: A new model for disentangling the price of risk," Journal of Econometrics, Elsevier, vol. 217(2), pages 312-334.
    13. Luintel, Kul B & Xu, Yongdeng, 2013. "Testing weak exogeneity in multiplicative error models," Cardiff Economics Working Papers E2013/6, Cardiff University, Cardiff Business School, Economics Section.
    14. Harvey,Andrew C., 2013. "Dynamic Models for Volatility and Heavy Tails," Cambridge Books, Cambridge University Press, number 9781107034723.
    15. Louzis, Dimitrios P. & Xanthopoulos-Sisinis, Spyros & Refenes, Apostolos P., 2011. "Are realized volatility models good candidates for alternative Value at Risk prediction strategies?," MPRA Paper 30364, University Library of Munich, Germany.
    16. Harvey, A. & Palumbo, D., 2019. "Score-Driven Models for Realized Volatility," Cambridge Working Papers in Economics 1950, Faculty of Economics, University of Cambridge.
    17. G.M. Gallo & D. Lacava & E. Otranto, 2020. "On Classifying the Effects of Policy Announcements on Volatility," Working Paper CRENoS 202008, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    18. Wang, Chengyang & Nishiyama, Yoshihiko, 2015. "Volatility forecast of stock indices by model averaging using high-frequency data," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 324-337.
    19. Francq, Christian & Sucarrat, Genaro, 2017. "An equation-by-equation estimator of a multivariate log-GARCH-X model of financial returns," Journal of Multivariate Analysis, Elsevier, vol. 153(C), pages 16-32.
    20. Tingguo Zheng & Han Xiao & Rong Chen, 2021. "Generalized Autoregressive Moving Average Models with GARCH Errors," Papers 2105.05532, arXiv.org.
    21. Gabriele Fiorentini & Enrique Sentana, 2021. "Specification tests for non‐Gaussian maximum likelihood estimators," Quantitative Economics, Econometric Society, vol. 12(3), pages 683-742, July.
    22. Dinghai Xu, 2019. "A Study on Volatility Spurious Almost Integration Effect: A Threshold Realized GARCH Approach," Working Papers 1903, University of Waterloo, Department of Economics, revised Dec 2019.
    23. Matteo Barigozzi & Christian T. Brownlees & Giampiero M. Gallo & David Veredas, 2010. "Disentangling Systematic and Idiosyncratic Risk for Large Panels of Assets," Econometrics Working Papers Archive wp2010_06, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
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    5. Eyden Samunderu & Yvonne T. Murahwa, 2021. "Return Based Risk Measures for Non-Normally Distributed Returns: An Alternative Modelling Approach," JRFM, MDPI, vol. 14(11), pages 1-48, November.
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    1. Nieto, María Rosa & Ruiz Ortega, Esther, 2008. "Measuring financial risk : comparison of alternative procedures to estimate VaR and ES," DES - Working Papers. Statistics and Econometrics. WS ws087326, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Sharif Mozumder & Arafatur Rahman, 2016. "Market Risk Of Investment In Us Subprime Crisis: Comparison Of A Pure Diffusion And A Pure Jump Model," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(03), pages 1-17, September.
    3. Cociuba Mihail Ioan & Zapodeanu Daniela & Kulcsar Edina, 2014. "Backtesting Value At Risk Models In The Presence Of Structural Break On The Romanian And Hungarian Stock Markets," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 802-812, July.
    4. Xianzi Yang & Chen Zhang & Yu Yang & Wenjun Wang & Zulfiqar Ali Wagan, 2022. "A new risk measurement method for China's carbon market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1280-1290, January.
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    6. Degiannakis, Stavros & Filis, George & Siourounis, Grigorios & Trapani, Lorenzo, 2019. "Superkurtosis," MPRA Paper 96563, University Library of Munich, Germany.
      • Stavros Degiannakis & George Filis & Grigorios Siourounis & Lorenzo Trapani, 2023. "Superkurtosis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2061-2091, December.
      • Stavros Degiannakis & George Filis & Grigorios Siourounis & Lorenzo Trapani, 2023. "Superkurtosis," Working Papers 318, Bank of Greece.
      • Degiannakis, Stavros & Filis, George & Siourounis, Grigorios & Trapani, Lorenzo, 2019. "Superkurtosis," MPRA Paper 94473, University Library of Munich, Germany.
    7. Ghassan, Hassan B. & Taher, Farid B., 2015. "Financial Stability of Islamic and Conventional Banks in Saudi Arabia: Evidence using Pooled and Panel Models," MPRA Paper 75460, University Library of Munich, Germany, revised Jan 2015.
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    60. Dr. Kyriazopoulos Georgios & Dr. Drympetas Evaggelos & Kollias Konstantinos, 2020. "Risk Management after Mergers and Acquisitions. Evidence from the Greek Banking System," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(3), pages 1-5.
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    Cited by:

    1. Herrera, Rodrigo & Schipp, Bernhard, 2013. "Value at risk forecasts by extreme value models in a conditional duration framework," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 33-47.
    2. Xiufeng Yan, 2021. "Autoregressive conditional duration modelling of high frequency data," Papers 2111.02300, arXiv.org.
    3. Bhatti, Chad R., 2009. "On the interday homogeneity in the intraday rate of trading," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(7), pages 2250-2257.
    4. Anthony D. Hall & Nikolaus Hautsch, 2004. "Order Aggressiveness and Order Book Dynamics," FRU Working Papers 2005/04, University of Copenhagen. Department of Economics. Finance Research Unit.
    5. Perera, Indeewara & Silvapulle, Mervyn J., 2021. "Bootstrap based probability forecasting in multiplicative error models," Journal of Econometrics, Elsevier, vol. 221(1), pages 1-24.
    6. Roman Huptas, 2014. "Bayesian Estimation and Prediction for ACD Models in the Analysis of Trade Durations from the Polish Stock Market," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 6(4), pages 237-273, December.
    7. Helton Saulo & Jeremias Leão & Víctor Leiva & Robert G. Aykroyd, 2019. "Birnbaum–Saunders autoregressive conditional duration models applied to high-frequency financial data," Statistical Papers, Springer, vol. 60(5), pages 1605-1629, October.
    8. Fernandes, Marcelo & Grammig, Joachim, 2002. "A family of autoregressive conditional duration models," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 440, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    9. Christensen, T.M. & Hurn, A.S. & Lindsay, K.A., 2012. "Forecasting spikes in electricity prices," International Journal of Forecasting, Elsevier, vol. 28(2), pages 400-411.
    10. Zhang Zongxin & Zhang Xiao, 2011. "Trading duration, mutual funds behavior and stock market shock," China Finance Review International, Emerald Group Publishing Limited, vol. 1(3), pages 220-240, July.
    11. Wing Lon Ng, 2008. "Analysing liquidity and absorption limits of electronic markets with volume durations," Quantitative Finance, Taylor & Francis Journals, vol. 8(4), pages 353-361.
    12. De Luca Giovanni & Gallo Giampiero M., 2004. "Mixture Processes for Financial Intradaily Durations," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(2), pages 1-20, May.
    13. Wing Lon Ng, 2010. "Dynamic Order Submission And Herding Behavior In Electronic Trading," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 33(1), pages 27-43, March.
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    16. Allen, David & Ng, K.H. & Peiris, Shelton, 2013. "The efficient modelling of high frequency transaction data: A new application of estimating functions in financial economics," Economics Letters, Elsevier, vol. 120(1), pages 117-122.
    17. Roman Huptas, 2016. "The UHF-GARCH-Type Model in the Analysis of Intraday Volatility and Price Durations – the Bayesian Approach," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(1), pages 1-20, March.

  36. Engle, Robert F & Patton, Andrew J, 2000. "Impacts of Trades in an Error-Correction Model of Quote Prices," University of California at San Diego, Economics Working Paper Series qt6dm6093f, Department of Economics, UC San Diego.

    Cited by:

    1. Foucault, Thierry & Kandel, Eugene & Kadan, Ohad, 2001. "Limit Order Book as a Market for Liquidity," CEPR Discussion Papers 2889, C.E.P.R. Discussion Papers.
    2. Francis X. Diebold & Georg Strasser, 2010. "On the Correlation Structure of Microstructure Noise: A Financial Economic Approach," NBER Working Papers 16469, National Bureau of Economic Research, Inc.
    3. Luintel, Kul B & Xu, Yongdeng, 2013. "Testing weak exogeneity in multiplicative error models," Cardiff Economics Working Papers E2013/6, Cardiff University, Cardiff Business School, Economics Section.
    4. Martin D. Gould & Mason A. Porter & Stacy Williams & Mark McDonald & Daniel J. Fenn & Sam D. Howison, 2013. "Limit order books," Quantitative Finance, Taylor & Francis Journals, vol. 13(11), pages 1709-1742, November.
    5. Engle, Robert F & Patton, Andrew J, 2000. "Impacts of Trades in an Error-Correction Model of Quote Prices," University of California at San Diego, Economics Working Paper Series qt6dm6093f, Department of Economics, UC San Diego.
    6. Sabrina Buti & Barbara Rindi & Ingrid M. Werner, 2011. "Dark Pool Trading Strategies," Working Papers 421, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    7. Takatoshi Ito & Yuko Hashimoto, 2006. "Intra-Day Seasonality in Activities of the Foreign Exchange Markets: Evidence From the Electronic Broking System," NBER Working Papers 12413, National Bureau of Economic Research, Inc.
    8. Yuko Hashimoto & Takatoshi Ito, 2009. "Effects of Japanese Macroeconomic Announcements on the Dollar/Yen Exchange Rate: High-Resolution Picture," NBER Working Papers 15020, National Bureau of Economic Research, Inc.
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    21. Martin D. Gould & Mason A. Porter & Stacy Williams & Mark McDonald & Daniel J. Fenn & Sam D. Howison, 2010. "Limit Order Books," Papers 1012.0349, arXiv.org, revised Apr 2013.
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    24. Yiuman Tse & Brian C. McTier & John K. Wald, 2011. "Do Stock Markets Catch the Flu? We examine the impact of influenza on the U.S. stock market. A higher incidence of flu is associated with decreased trading, decreased volatility, and higher bid-ask sp," Working Papers 0004, College of Business, University of Texas at San Antonio.
    25. Chen, Yu-Lun & Gau, Yin-Feng, 2014. "Asymmetric responses of ask and bid quotes to information in the foreign exchange market," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 194-204.
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    27. Härdle, Wolfgang Karl & Hautsch, Nikolaus & Mihoci, Andrija, 2012. "Modelling and forecasting liquidity supply using semiparametric factor dynamics," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 610-625.
    28. Lo, Danny K. & Hall, Anthony D., 2015. "Resiliency of the limit order book," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 222-244.
    29. Frijns, Bart & Schotman, Peter C., 2006. "Nonlinear dynamics in Nasdaq dealer quotes," Computational Statistics & Data Analysis, Elsevier, vol. 51(4), pages 2246-2266, December.
    30. Menkhoff, Lukas & Schmeling, Maik, 2010. "Whose trades convey information? Evidence from a cross-section of traders," Journal of Financial Markets, Elsevier, vol. 13(1), pages 101-128, February.
    31. Yiuman Tse & Brian C. McTier & John K. Wald, 2011. "Do Stock Markets Catch the Flu? We examine the impact of influenza on the U.S. stock market. A higher incidence of flu is associated with decreased trading, decreased volatility, and higher bid-ask sp," Working Papers 0004, College of Business, University of Texas at San Antonio.
    32. Chor-yiu SIN, 2004. "Estimation and Testing for Partially Nonstationary Vector Autoregressive Models with GARCH: WLS versus QMLE," Econometric Society 2004 North American Summer Meetings 476, Econometric Society.
    33. Chen, Tao & Li, Jie & Cai, Jun, 2008. "Information content of inter-trade time on the Chinese market," Emerging Markets Review, Elsevier, vol. 9(3), pages 174-193, September.
    34. Chakravarty, Sugato & Harris, Fredreck H. deB. & Wood, Roger A., 2001. "Do Bid-Ask Spreads or Bid and Ask Depths Convey New Information First?," Purdue University Economics Working Papers 1149, Purdue University, Department of Economics.
    35. Yang, Joey Wenling, 2011. "Transaction duration and asymmetric price impact of trades--Evidence from Australia," Journal of Empirical Finance, Elsevier, vol. 18(1), pages 91-102, January.
    36. Wuyts, Gunther, 2008. "The impact of liquidity shocks through the limit order book," CFS Working Paper Series 2008/53, Center for Financial Studies (CFS).
    37. Sucarrat, Genaro, 2009. "Forecast Evaluation of Explanatory Models of Financial Variability," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-33.
    38. Andersson, Jonas & Moberg, Jan-Magnus, 2007. "Structural breaks in point processes: With an application to reporting delays for trades on the New York stock exchange," Discussion Papers 2007/28, Norwegian School of Economics, Department of Business and Management Science.
    39. Bruce Mizrach, 2008. "The next tick on Nasdaq," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 19-40.
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    41. Pascual, Roberto & Escribano, Alvaro & Tapia, Mikel, 2004. "Adverse selection costs, trading activity and price discovery in the NYSE: An empirical analysis," Journal of Banking & Finance, Elsevier, vol. 28(1), pages 107-128, January.
    42. PASCUAL, Roberto & VEREDAS, David, 2006. "Does the open limit order book matter in explaining long run volatility ?," LIDAM Discussion Papers CORE 2006110, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    43. Zhang, Sijia & Gregoriou, Andros, 2019. "The price behavior around initial loan announcements: Evidence from zero-leverage firms in the UK," Research in International Business and Finance, Elsevier, vol. 50(C), pages 191-200.
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    45. Loderer, Claudio & Roth, Lukas, 2005. "The pricing discount for limited liquidity: evidence from SWX Swiss Exchange and the Nasdaq," Journal of Empirical Finance, Elsevier, vol. 12(2), pages 239-268, March.
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    47. Sylwia Nowak, 2008. "How Do Public Announcements Affect The Frequency Of Trading In U.S. Airline Stocks?," CAMA Working Papers 2008-38, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    48. Francis X. Diebold, 2004. "The Nobel Memorial Prize for Robert F. Engle," PIER Working Paper Archive 04-010, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    49. Andros Gregoriou, 2007. "The Asymmetry of the Price Impact of Block Trades and the Bid-Ask Spread. Evidence from the London Stock Exchange," Money Macro and Finance (MMF) Research Group Conference 2006 76, Money Macro and Finance Research Group.
    50. Danielsson, Jon & Love, Ryan, 2004. "Feedback trading," LSE Research Online Documents on Economics 24760, London School of Economics and Political Science, LSE Library.
    51. Diebold, Francis X. & Strasser, Georg H., 2008. "On the correlation structure of microstructure noise in theory and practice," CFS Working Paper Series 2008/32, Center for Financial Studies (CFS).
    52. Chiyachantana, Chiraphol & Jain, Pankaj K. & Jiang, Christine & Sharma, Vivek, 2017. "Permanent price impact asymmetry of trades with institutional constraints," Journal of Financial Markets, Elsevier, vol. 36(C), pages 1-16.
    53. Pascual, Roberto & Pascual-Fuster, Bartolomé, 2014. "The relative contribution of ask and bid quotes to price discovery," Journal of Financial Markets, Elsevier, vol. 20(C), pages 129-150.
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    56. Axel Groß-Klußmann & Nikolaus Hautsch, 2011. "Predicting Bid-Ask Spreads Using Long Memory Autoregressive Conditional Poisson Models," SFB 649 Discussion Papers SFB649DP2011-044, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
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    58. Erindi Allaj, 2017. "Implicit Transaction Costs And The Fundamental Theorems Of Asset Pricing," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(04), pages 1-39, June.
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    Cited by:

    1. Roland Gillet & Ariane Szafarz, 2004. "Marchés financiers et anticipations rationnelles," Reflets et perspectives de la vie économique, De Boeck Université, vol. 0(2), pages 7-17.
    2. Márcio Gomes Pinto Garcia & Marcelo Cunha Medeiros & Francisco Eduardo de Luna e Almeida Santos, 2014. "Economic gains of realized volatility in the Brazilian stock market," Brazilian Review of Finance, Brazilian Society of Finance, vol. 12(3), pages 319-349.
    3. Beine, Michel, 2004. "Conditional covariances and direct central bank interventions in the foreign exchange markets," Journal of Banking & Finance, Elsevier, vol. 28(6), pages 1385-1411, June.
    4. R. REYTIER & A. Blanes & Q. Gaucher & S. Thiam & P. Debled, 2015. "Behavior of Covariance Matrices with Equi-Correlation Approach," Proceedings of International Academic Conferences 2805027, International Institute of Social and Economic Sciences.
    5. Koenig, P., 2011. "Modelling Correlation in Carbon and Energy Markets," Cambridge Working Papers in Economics 1123, Faculty of Economics, University of Cambridge.
    6. Ferland, Rene & Lalancette, Simon, 2006. "Dynamics of realized volatilities and correlations: An empirical study," Journal of Banking & Finance, Elsevier, vol. 30(7), pages 2109-2130, July.
    7. Guillermo Benavides Perales, 2009. "Price volatility forecasts for agricultural commodities: an application of volatility models, option implieds and composite approaches forfutures prices of corn and wheat," Revista de Administración, Finanzas y Economía (Journal of Management, Finance and Economics), Tecnológico de Monterrey, Campus Ciudad de México, vol. 3(2), pages 40-59.
    8. Berg, Nathan & Gu, Anthony Y. & Lien, Donald, 2007. "Dynamic correlation: A tool hedging house-price risk?," MPRA Paper 26368, University Library of Munich, Germany.
    9. Carlos Bautista, 2003. "Interest rate-exchange rate dynamics in the Philippines: a DCC analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 10(2), pages 107-111.
    10. Coe, P.J. & Pesaran, M.H. & Vahey, S.P., 2003. "Scope for Cost Minimization in Public Debt Management: the Case of the UK," Cambridge Working Papers in Economics 0338, Faculty of Economics, University of Cambridge.
    11. Olivier Ledoit & Pedro Santa-Clara & Michael Wolf, 2003. "Flexible Multivariate GARCH Modeling with an Application to International Stock Markets," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 735-747, August.
    12. Cifarelli, Giulio & Paladino, Giovanna, 2006. "Volatility co-movements between emerging sovereign bonds: Is there segmentation between geographical areas?," Global Finance Journal, Elsevier, vol. 16(3), pages 245-263, March.
    13. Jonathan Heathcote, 2003. "Financial Globalization and Real Regionalization," Working Papers gueconwpa~03-03-20, Georgetown University, Department of Economics.
    14. Lee, Chien-Chiang & Wang, Yurong & Zhang, Xiaoming, 2023. "Corporate governance and systemic risk: Evidence from Chinese-listed banks," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 180-202.
    15. Eduardo F. L. de Melo & Beatriz Vaz de Melo Mendes, 2009. "Local Estimation of Copula Based Value-at-Risk," Brazilian Review of Finance, Brazilian Society of Finance, vol. 7(1), pages 29-50.
    16. Green, Rikard & Larsson, Karl & Lunina, Veronika & Nilsson, Birger, 2016. "Cross-Commodity News Transmission and Volatility Spillovers in the German Energy Markets," Working Papers 2016:2, Lund University, Department of Economics, revised 11 Oct 2017.
    17. Reuben Ellul, 2017. "Correlation between Maltese and euro area sovereign bond yields," CBM Working Papers WP/03/2017, Central Bank of Malta.
    18. Benavides Guillermo, 2010. "Forecasting Short-Run Inflation Volatility using Futures Prices: An Empirical Analysis from a Value at Risk Perspective," Working Papers 2010-12, Banco de México.
    19. Mr. Gianni De Nicolo & Mr. Myron L. Kwast, 2002. "Systemic Risk and Financial Consolidation: Are they Related?," IMF Working Papers 2002/055, International Monetary Fund.
    20. Ceci, Vladimiro & Manganelli, Simone & Vecchiato, Walter, 2002. "Sensitivity analysis of volatility: a new tool for risk management," Working Paper Series 194, European Central Bank.
    21. Wang, Chaug-Jung & Lee, Chien-Hui & Huang, Bwo-Nung, 2003. "An analysis of industry and country effects in global stock returns: evidence from Asian countries and the U.S," The Quarterly Review of Economics and Finance, Elsevier, vol. 43(3), pages 560-577.
    22. William Goetzmann & Lingfeng Li & K. Rouwenhorst, 2001. "Long-Term Global Market Correlations," Yale School of Management Working Papers ysm237, Yale School of Management, revised 01 Jan 2008.
    23. De Nicolo, Gianni & Kwast, Myron L., 2002. "Systemic risk and financial consolidation: Are they related?," Journal of Banking & Finance, Elsevier, vol. 26(5), pages 861-880, May.
    24. Cifarelli, Giulio & Paladino, Giovanna, 2004. "The impact of the Argentine default on volatility co-movements in emerging bond markets," Emerging Markets Review, Elsevier, vol. 5(4), pages 427-446, December.
    25. Filip Iorgulescu, 2009. "Value at Risk: A Comparative Analysis," Advances in Economic and Financial Research - DOFIN Working Paper Series 25, Bucharest University of Economics, Center for Advanced Research in Finance and Banking - CARFIB.
    26. Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2006. "Dynamic Factor GARCH: Multivariate Volatility Forecast for a Large Number of Series," LEM Papers Series 2006/25, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    27. Tareq Saeed & Elie Bouri & Dang Khoa Tran, 2020. "Hedging Strategies of Green Assets against Dirty Energy Assets," Energies, MDPI, vol. 13(12), pages 1-17, June.
    28. Guidi, Francesco & Ugur, Mehmet, 2012. "Are South East Europe stock markets integrated with regional and global stock markets?," MPRA Paper 44133, University Library of Munich, Germany, revised Dec 2012.
    29. Bredin, Don & Hyde, Stuart, 2002. "Forex Risk: Measurement and Evaluation using Value-at-Risk," Research Technical Papers 6/RT/02, Central Bank of Ireland.
    30. Francisco Blasques, 2013. "On the Phase Dependence in Time-Varying Correlations Between Time-Series," Tinbergen Institute Discussion Papers 13-054/III, Tinbergen Institute.
    31. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    32. Dennis, Wesselbaum, 2012. "Stochastic Volatility in the U.S. Labor Market," MPRA Paper 43054, University Library of Munich, Germany.
    33. Choi, Pilsun & Nam, Kiseok, 2008. "Asymmetric and leptokurtic distribution for heteroscedastic asset returns: The SU-normal distribution," Journal of Empirical Finance, Elsevier, vol. 15(1), pages 41-63, January.
    34. Benavides, Guillermo, 2009. "Predictive Accuracy of Futures Options Implied Volatility: the Case of the Exchange Rate Futures Mexican Peso-Us Dollar," Panorama Económico, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 0(09), pages 55-95, segundo s.
    35. Samitas, Aristeidis & Tsakalos, Ioannis, 2013. "How can a small country affect the European economy? The Greek contagion phenomenon," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 25(C), pages 18-32.
    36. Benavides Guillermo, 2006. "Volatility Forecasts for the Mexican Peso - U.S. Dollar Exchange Rate: An Empirical Analysis of Garch, Option Implied and Composite Forecast Models," Working Papers 2006-04, Banco de México.
    37. Feunou Bruno & Tafolong Ernest, 2015. "Fourier inversion formulas for multiple-asset option pricing," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(5), pages 531-559, December.
    38. Michel Beine & Pierre-Yves Preumont & Ariane Szafarz, 2006. "Sector diversification during crises: a European perspective," DULBEA Working Papers 06-07.RS, ULB -- Universite Libre de Bruxelles.
    39. Ellul, Reuben, 2015. "Analysing correlation between the MSE index and global stock markets," MPRA Paper 72464, University Library of Munich, Germany.
    40. Guillermo Benavides, 2010. "Forecasting Short-Run Inflation Volatility using Futures Prices: An Empirical Analysis from a Value at Risk Perspective," Revista de Administración, Finanzas y Economía (Journal of Management, Finance and Economics), Tecnológico de Monterrey, Campus Ciudad de México, vol. 4(2), pages 1-27.
    41. nnamdi, Kelechi & ifionu, Ebele, 2013. "Exchange rate volatility and exchange rate uncertainty in Nigeria: a financial econometric analysis (1970- 2012)," MPRA Paper 48316, University Library of Munich, Germany, revised 2013.
    42. Narayan, Seema & Doytch, Nadia & Nguyen, Tri Tung & Kluegel, Karl, 2016. "Trade of goods and services and risk sharing ability in international equity markets: Are these substitutes or complements?," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 485-503.

  38. Joshua Rosenberg & Robert F. Engle, 2000. "Empirical Pricing Kernels," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-014, New York University, Leonard N. Stern School of Business-.

    Cited by:

    1. Dominique Guegan & Florian Ielpo & Hanjarivo Lalaharison, 2013. "Option pricing with discrete time jump processes," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00964950, HAL.
    2. Brendan K. Beare, 2022. "Optimal measure preserving derivatives revisited," Papers 2201.09108, arXiv.org, revised Dec 2022.
    3. Garcia, Rene & Luger, Richard & Renault, Eric, 2003. "Empirical assessment of an intertemporal option pricing model with latent variables," Journal of Econometrics, Elsevier, vol. 116(1-2), pages 49-83.
    4. Fabio Fornari, 2005. "The rise and fall of US dollar interest rate volatility: evidence from swaptions," BIS Quarterly Review, Bank for International Settlements, September.
    5. Yuriy Kitsul & Jonathan H. Wright, 2012. "The Economics of Options-Implied Inflation Probability Density Functions," NBER Working Papers 18195, National Bureau of Economic Research, Inc.
    6. Isao Ishida, 2005. "Scanning Multivariate Conditional Densities with Probability Integral Transforms," CARF F-Series CARF-F-045, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    7. Francisco Serranito & Nicolas Himounet & Julien Vauday, 2023. "Uncertainty is bad for Business. Really?," EconomiX Working Papers 2023-26, University of Paris Nanterre, EconomiX.
    8. Polkovnichenko, Valery & Zhao, Feng, 2013. "Probability weighting functions implied in options prices," Journal of Financial Economics, Elsevier, vol. 107(3), pages 580-609.
    9. Yabei Zhu & Xingguo Luo & Qi Xu, 2023. "Industry variance risk premium, cross‐industry correlation, and expected returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(1), pages 3-32, January.
    10. Tim Bollerslev & Michael Gibson & Hao Zhou, 2007. "Dynamic Estimation of Volatility Risk Premia and Investor Risk Aversion from Option-Implied and Realized Volatilities," CREATES Research Papers 2007-16, Department of Economics and Business Economics, Aarhus University.
    11. Dominique Guegan & Florian Ielpo, 2008. "Flexible time series models for subjective distribution estimation with monetary policy in view," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00368356, HAL.
    12. Yoo, Eun Gyu & Yoon, Sun-Joong, 2020. "CBOE VIX and Jump-GARCH option pricing models," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 839-859.
    13. Yoon, Sun-Joong, 2017. "Time-varying risk aversion and return predictability," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 327-339.
    14. Bekaert, Geert & Hoerova, Marie, 2016. "What do asset prices have to say about risk appetite and uncertainty?," Journal of Banking & Finance, Elsevier, vol. 67(C), pages 103-118.
    15. Horatio Cuesdeanu & Jens Carsten Jackwerth, 2018. "The pricing kernel puzzle in forward looking data," Review of Derivatives Research, Springer, vol. 21(3), pages 253-276, October.
    16. Tim Bollerslev & Viktor Todorov, 2010. "Tails, Fears and Risk Premia," Working Papers 10-33, Duke University, Department of Economics.
    17. Radu Tunaru, 2015. "Model Risk in Financial Markets:From Financial Engineering to Risk Management," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 9524, January.
    18. Shackleton, Mark B. & Taylor, Stephen J. & Yu, Peng, 2010. "A multi-horizon comparison of density forecasts for the S&P 500 using index returns and option prices," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2678-2693, November.
    19. Chevallier, Julien & Ielpo, Florian & Mercier, Ludovic, 2009. "Risk aversion and institutional information disclosure on the European carbon market: A case-study of the 2006 compliance event," Energy Policy, Elsevier, vol. 37(1), pages 15-28, January.
    20. David Backus & Mikhail Chernov & Ian Martin, 2009. "Disasters implied by equity index options," NBER Working Papers 15240, National Bureau of Economic Research, Inc.
    21. Araújo, Fabio & Issler, João Victor & Fernandes, Marcelo, 2005. "Estimating the stochastic discount factor without a utility function," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 583, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    22. Ivanova, Vesela & Puigvert Gutiérrez, Josep Maria, 2014. "Interest rate forecasts, state price densities and risk premium from Euribor options," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 210-223.
    23. Alexis Derviz & Narcisa Kadlcáková, 2005. "Business cycle, credit risk and economic capital determination by commercial banks," BIS Papers chapters, in: Bank for International Settlements (ed.), Investigating the relationship between the financial and real economy, volume 22, pages 299-327, Bank for International Settlements.
    24. Pintor, Gabor, 2016. "The macroeconomic shock with the highest price of risk," LSE Research Online Documents on Economics 86225, London School of Economics and Political Science, LSE Library.
    25. Bakshi, Gurdip & Chen, Zhiwu & Hjalmarsson, Erik, 2005. "Volatility of the Stochastic Discount Factor, and the Distinction between Risk-Neutral and Objective Probability Measures," Working Papers in Economics 159, University of Gothenburg, Department of Economics.
    26. Araújo, Fabio & Issler, João Victor & Fernandes, Marcelo, 2006. "A stochastic discount factor approach to asset pricing using panel data," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 628, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    27. Liu, Xiaoquan & Shackleton, Mark B. & Taylor, Stephen J. & Xu, Xinzhong, 2007. "Closed-form transformations from risk-neutral to real-world distributions," Journal of Banking & Finance, Elsevier, vol. 31(5), pages 1501-1520, May.
    28. Fengler, Matthias & Hin, Lin-Yee, 2011. "Semi-nonparametric estimation of the call price surface under strike and time-to-expiry no-arbitrage constraints," Economics Working Paper Series 1136, University of St. Gallen, School of Economics and Political Science, revised May 2013.
    29. Grace Kuan, 2000. "Recovering Local Volatility Functions Of Forward Libor Rates," Computing in Economics and Finance 2000 255, Society for Computational Economics.
    30. Christophe Chorro & Dominique Guegan & Florian Ielpo, 2008. "Option Pricing under GARCH models with Generalized Hyperbolic innovations (I) : Methodology," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00281585, HAL.
    31. Peter Christoffersen & Kris Jacobs, 2003. "The Importance of the Loss Function in Option Valuation," CIRANO Working Papers 2003s-52, CIRANO.
    32. Alessandro Beber & Michael W. Brandt, 2003. "The Effect of Macroeconomic News on Beliefs and Preferences: Evidence from the Options Market," NBER Working Papers 9914, National Bureau of Economic Research, Inc.
    33. Dominique Guegan & Florian Ielpo, 2008. "Flexible time series models for subjective distribution estimation with monetary policy in view," PSE-Ecole d'économie de Paris (Postprint) halshs-00368356, HAL.
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    218. Jeffrey R. Black & Pankaj K. Jain & Wei Sun, 2023. "Trade-time clustering," Review of Quantitative Finance and Accounting, Springer, vol. 60(3), pages 1209-1242, April.
    219. Pham, Manh Cuong & Anderson, Heather Margot & Duong, Huu Nhan & Lajbcygier, Paul, 2020. "The effects of trade size and market depth on immediate price impact in a limit order book market," Journal of Economic Dynamics and Control, Elsevier, vol. 120(C).
    220. Beomsoo Park & Benjamin Van Roy, 2015. "Adaptive Execution: Exploration and Learning of Price Impact," Operations Research, INFORMS, vol. 63(5), pages 1058-1076, October.
    221. Brandvold, Morten & Molnár, Peter & Vagstad, Kristian & Andreas Valstad, Ole Christian, 2015. "Price discovery on Bitcoin exchanges," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 18-35.
    222. N. Taylor & Y. Xu, 2017. "The logarithmic vector multiplicative error model: an application to high frequency NYSE stock data," Quantitative Finance, Taylor & Francis Journals, vol. 17(7), pages 1021-1035, July.
    223. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, November.
    224. Simos G. Meintanis & Bojana Milošević & Marko Obradović, 2020. "Goodness-of-fit tests in conditional duration models," Statistical Papers, Springer, vol. 61(1), pages 123-140, February.
    225. Craig H. Furfine, 2003. "When is inter-transaction time informative?," Working Paper Series WP-03-04, Federal Reserve Bank of Chicago.
    226. M. Dolores Jiménez-Gamero & Sangyeol Lee & Simos G. Meintanis, 2020. "Goodness-of-fit tests for parametric specifications of conditionally heteroscedastic models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(3), pages 682-703, September.
    227. Chung, Kee H. & Chuwonganant, Chairat & Jiang, Jing, 2008. "The dynamics of quote adjustments," Journal of Banking & Finance, Elsevier, vol. 32(11), pages 2390-2400, November.
    228. Anna Obizhaeva, 2007. "Liquidity Estimates and Selection Bias," Working Papers w0225, New Economic School (NES).
    229. Dimitrakopoulos, Stefanos & Tsionas, Mike G. & Aknouche, Abdelhakim, 2020. "Ordinal-response models for irregularly spaced transactions: A forecasting exercise," MPRA Paper 103250, University Library of Munich, Germany, revised 01 Oct 2020.

  40. Young-Hye Cho & Robert F. Engle, 1999. "Time-Varying Betas and Asymmetric Effect of News: Empirical Analysis of Blue Chip Stocks," NBER Working Papers 7330, National Bureau of Economic Research, Inc.

    Cited by:

    1. Lebedinsky, Alex & Wilmes, Nicholas, 2018. "A re-examination of firm, industry and market volatilities," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 113-120.
    2. F. Pozzi & T. Matteo & T. Aste, 2012. "Exponential smoothing weighted correlations," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 85(6), pages 1-21, June.
    3. Brooks, C. & Henry, O.T., 2000. "The Impact of News on Measures of Undiversifiable Risk: Evidence from the UK Stock Market," Department of Economics - Working Papers Series 733, The University of Melbourne.
    4. Warren G. Dean & Robert W. Faff, 2004. "Asymmetric Covariance, Volatility, And The Effect Of News," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 27(3), pages 393-413, September.
    5. Rossignolo, Adrian F. & Fethi, Meryem Duygun & Shaban, Mohamed, 2012. "Value-at-Risk models and Basel capital charges," Journal of Financial Stability, Elsevier, vol. 8(4), pages 303-319.
    6. Paramita Mukherjee & Malabika Roy, 2016. "What Drives the Stock Market Return in India? An Exploration with Dynamic Factor Model," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 15(1), pages 119-145, April.
    7. Charles S. Bos & Phillip Gould, 2007. "Dynamic Correlations and Optimal Hedge Ratios," Tinbergen Institute Discussion Papers 07-025/4, Tinbergen Institute.
    8. Luc SAVARD, 2010. "Scaling Up Infrastructure Spending in the Philippines: A CGE Top-Down Bottom-Up Microsimulation Approach," EcoMod2010 259600149, EcoMod.
    9. Antonios K. Alexandridis & Mohammad S. Hasan, 2020. "Global financial crisis and multiscale systematic risk: Evidence from selected European stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 518-546, October.
    10. Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2008. "Dynamic Stock Market Interactions between the Canadian, Mexican, and the United States Markets: The NAFTA Experience," Working papers 2008-49, University of Connecticut, Department of Economics.
    11. Jiang, Rui & Wen, Conghua & Zhang, Ruonan & Cui, Yu, 2022. "Investor's herding behavior in Asian equity markets during COVID-19 period," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    12. Hashem Zarafat & Sascha Liebhardt & Mustafa Hakan Eratalay, 2022. "Do ESG Ratings Reduce the Asymmetry Behavior in Volatility?," JRFM, MDPI, vol. 15(8), pages 1-32, July.
    13. Nam, Kiseok & Pyun, Chong Soo & Arize, Augustine C., 2002. "Asymmetric mean-reversion and contrarian profits: ANST-GARCH approach," Journal of Empirical Finance, Elsevier, vol. 9(5), pages 563-588, December.
    14. Ceylan, Ozcan, 2010. "Limited Information-Processing Capacity and Asymmetric Stock Correlations," MPRA Paper 61587, University Library of Munich, Germany.
    15. Hisham Al Refai & Gazi Mainul Hassan, 2018. "The Impact of Market-wide Volatility on Time-varying Risk: Evidence from Qatar Stock Exchange," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(2_suppl), pages 239-258, August.
    16. Abdul Qayyum & Muhammad Arshad Khan, 2014. "Dynamic Relationship and Volatility Spillover between the Stock Market and the Foreign Exchange Market in Pakistan: Evidence from VAR-EGARCH Modelling," PIDE-Working Papers 2014:103, Pakistan Institute of Development Economics.
    17. Abdul Qayyum & A. R. Kemal, 2006. "Volatility Spillover between the Stock Market and the Foreign Market in Pakistan," Finance Working Papers 22216, East Asian Bureau of Economic Research.
    18. Fernandes, José L. B. & Hasman, Augusto & Peña, Juan Ignacio, 2006. "Risk premium: insights over the threshold," DEE - Working Papers. Business Economics. WB wb062808, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    19. Johannes W. Fedderke, 2020. "The South African – United States Sovereign Bond Spread and its Association with Macroeconomic Fundamentals," Working Papers 830, Economic Research Southern Africa.
    20. Kiseok Nam & Sei-Wan Kim & Augustine. Arize, 2006. "Mean Reversion of Short-Horizon Stock Returns: Asymmetry Property," Review of Quantitative Finance and Accounting, Springer, vol. 26(2), pages 137-163, March.
    21. Ólan T. Henry & Nilss Olekalns & Kalvinder K. Shields, 2013. "Quantifying time variation and asymmetry in measures of covariance risk: a simulation approach," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 18, pages 457-476, Edward Elgar Publishing.
    22. Cathy W. S. Chen & Muyi Li & Nga T. H. Nguyen & Songsak Sriboonchitta, 2017. "On Asymmetric Market Model with Heteroskedasticity and Quantile Regression," Computational Economics, Springer;Society for Computational Economics, vol. 49(1), pages 155-174, January.
    23. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Heiko Ebens, 2000. "The Distribution of Stock Return Volatility," NBER Working Papers 7933, National Bureau of Economic Research, Inc.
    24. Dumitriu, Ramona & Stefanescu, Razvan & Nistor, Costel, 2010. "Systematic risks for the financial and for the non-financial Romanian companies," MPRA Paper 41636, University Library of Munich, Germany, revised 28 Feb 2010.
    25. Taufiq Choudhry & Ranadeva Jayasekera, 2015. "Level of efficiency in the UK equity market: empirical study of the effects of the global financial crisis," Review of Quantitative Finance and Accounting, Springer, vol. 44(2), pages 213-242, February.
    26. Viceira, Luis M., 2012. "Bond risk, bond return volatility, and the term structure of interest rates," International Journal of Forecasting, Elsevier, vol. 28(1), pages 97-117.
    27. Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), 2013. "Handbook of Research Methods and Applications in Empirical Finance," Books, Edward Elgar Publishing, number 14545.
    28. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Ebens, Heiko, 2001. "The distribution of realized stock return volatility," Journal of Financial Economics, Elsevier, vol. 61(1), pages 43-76, July.
    29. Nilsson, Birger, 2002. "International Asset Pricing and the Benefits from World Market Diversification," Working Papers 2002:1, Lund University, Department of Economics.
    30. Yossi Shvimer & Avi Herbon, 2020. "Tradability, closeness to market prices, and expected profit: their measurement for a binomial model of options pricing in a heterogeneous market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(3), pages 737-762, July.
    31. Attiya Y. Javid & Eatzaz Ahmad, 2008. "The Conditional Capital Asset Pricing Model: Evidence from Karachi Stock Exchange," PIDE-Working Papers 2008:48, Pakistan Institute of Development Economics.
    32. Eric Girard & Amit Sinha, 2006. "Does Total Risk Matter? The Case of Emerging Markets," Multinational Finance Journal, Multinational Finance Journal, vol. 10(1-2), pages 117-151, March-Jun.
    33. Johannes W. Fedderke, 2020. "Is the Phillips curve framework still useful for understanding inflation dynamics in South Africa," Working Papers 10142, South African Reserve Bank.
    34. Răzvan Ştefănescu & Costel Nistor & Ramona Dumitriu, 2009. "Asymmetric Responses of CAPM - Beta to the Bull and Bear Markets on the Bucharest Stock Exchange," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 9(4), pages 257-262.
    35. Ericsson, Jan & Huang, Xiao & Mazzotta, Stefano, 2016. "Leverage and asymmetric volatility: The firm-level evidence," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 1-21.
    36. Olan T. Henry & Nilss Olekalns & Kalvinder Shields, 2004. "Time Variation And Asymmetry In The World Price Of Covariance Risk: The Implications For International Diversification," Department of Economics - Working Papers Series 907, The University of Melbourne.
    37. Bollerslev, Tim & Zhang, Benjamin Y. B., 2003. "Measuring and modeling systematic risk in factor pricing models using high-frequency data," Journal of Empirical Finance, Elsevier, vol. 10(5), pages 533-558, December.
    38. Choudhry, Taufiq & Jayasekera, Ranadeva, 2012. "Comparison of efficiency characteristics between the banking sectors of US and UK during the global financial crisis of 2007–2011," International Review of Financial Analysis, Elsevier, vol. 25(C), pages 106-116.
    39. Choudhry, Taufiq & Jayasekera, Ranadeva, 2014. "Market efficiency during the global financial crisis: Empirical evidence from European banks," Journal of International Money and Finance, Elsevier, vol. 49(PB), pages 299-318.
    40. John M. Maheu & Thomas McCurdy, 2003. "News Arrival, Jump Dynamics and Volatility Components for Individual Stock Returns," CIRANO Working Papers 2003s-38, CIRANO.

  41. Robert F. Engle & Simone Manganelli, 1999. "CAViaR: Conditional Value at Risk by Quantile Regression," NBER Working Papers 7341, National Bureau of Economic Research, Inc.

    Cited by:

    1. Rossi, Eduardo & Spazzini, Filippo, 2008. "Model and distribution uncertainty in multivariate GARCH estimation: a Monte Carlo analysis," MPRA Paper 12260, University Library of Munich, Germany.
    2. Bollerslev, Tim, 2001. "Financial econometrics: Past developments and future challenges," Journal of Econometrics, Elsevier, vol. 100(1), pages 41-51, January.
    3. Charle Augusto Londoño, 2011. "Regresión del cuantil aplicada al modelo de redes neuronales artificiales," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 29(64), pages 62-109, July.
    4. Hongtao Guo & Miranda S. Lam & Guojun Wu & Zhijie Xiao, 2013. "Risk Analysis Using Regression Quantiles: Evidence from International Equity Markets," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 7(2), pages 1-15.
    5. Aloui, Chaker & Hamida, Hela ben, 2014. "Modelling and forecasting value at risk and expected shortfall for GCC stock markets: Do long memory, structural breaks, asymmetry, and fat-tails matter?," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 349-380.
    6. Trino-Manuel Ñíguez, 2008. "Volatility and VaR forecasting in the Madrid Stock Exchange," Spanish Economic Review, Springer;Spanish Economic Association, vol. 10(3), pages 169-196, September.
    7. Bruzda, Joanna, 2019. "Quantile smoothing in supply chain and logistics forecasting," International Journal of Production Economics, Elsevier, vol. 208(C), pages 122-139.
    8. Marco Bee & Fabrizio Miorelli, 2010. "Dynamic VaR models and the Peaks over Threshold method for market risk measurement: an empirical investigation during a financial crisis," Department of Economics Working Papers 1009, Department of Economics, University of Trento, Italia.
    9. ROCKINGER, Michael & JONDEAU, Eric, 2001. "Conditional dependency of financial series : an application of copulas," HEC Research Papers Series 723, HEC Paris.
    10. Engle, Robert F. & Manganelli, Simone, 2001. "Value at risk models in finance," Working Paper Series 75, European Central Bank.
    11. Guidolin, Massimo & Timmermann, Allan, 2006. "Term structure of risk under alternative econometric specifications," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 285-308.
    12. Marcelo Bianconi & Joe A. Yoshino, 2012. "Worldwide Commodities Sector Market-To-Book and Return on Equity Valuation," Discussion Papers Series, Department of Economics, Tufts University 0772, Department of Economics, Tufts University.
    13. G'abor Petneh'azi, 2019. "Quantile Convolutional Neural Networks for Value at Risk Forecasting," Papers 1908.07978, arXiv.org, revised Sep 2020.
    14. Liu, Qingfu & An, Yunbi, 2014. "Risk contributions of trading and non-trading hours: Evidence from Chinese commodity futures markets," Pacific-Basin Finance Journal, Elsevier, vol. 30(C), pages 17-29.
    15. Szymon Lis & Marcin Chlebus, 2021. "Comparison of the accuracy in VaR forecasting for commodities using different methods of combining forecasts," Working Papers 2021-11, Faculty of Economic Sciences, University of Warsaw.
    16. Charles-Olivier Amédée-Manesme & Fabrice Barthélémy, 2022. "Proper use of the modified Sharpe ratios in performance measurement: rearranging the Cornish Fisher expansion," Annals of Operations Research, Springer, vol. 313(2), pages 691-712, June.
    17. Stelios Bekiros & Nikolaos Loukeris & Iordanis Eleftheriadis & Christos Avdoulas, 2019. "Tail-Related Risk Measurement and Forecasting in Equity Markets," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 783-816, February.
    18. Stavroyiannis, S. & Makris, I. & Nikolaidis, V. & Zarangas, L., 2012. "Econometric modeling and value-at-risk using the Pearson type-IV distribution," International Review of Financial Analysis, Elsevier, vol. 22(C), pages 10-17.
    19. Eric Jondeau & Michael Rockinger, 2002. "Conditional Dependency of Financial Series: The Copula-GARCH Model," FAME Research Paper Series rp69, International Center for Financial Asset Management and Engineering.
    20. Sandrine Lardic & Valérie Mignon, 2004. "Robert F. Engle et Clive W.J. Granger prix Nobel d'économie 2003," Revue d'économie politique, Dalloz, vol. 114(1), pages 1-15.
    21. Kudryavtsev, Andrey A., 2009. "Using quantile regression for rate-making," Insurance: Mathematics and Economics, Elsevier, vol. 45(2), pages 296-304, October.
    22. Ming-Yuan Leon Li & Hsiou-wei William Lin, 2004. "Estimating value-at-risk via Markov switching ARCH models - an empirical study on stock index returns," Applied Economics Letters, Taylor & Francis Journals, vol. 11(11), pages 679-691.
    23. J. David Cummins & David Lalonde & Richard D. Phillips, 2000. "The Basis Risk of Catastrophic-Loss Index Securities," Center for Financial Institutions Working Papers 00-22, Wharton School Center for Financial Institutions, University of Pennsylvania.
    24. Kritski, Oleg & Ulyanova, Marina, 2007. "Assessment of Multivariate Financial Risks of a Stock Share Portfolio," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 8(4), pages 3-17.
    25. Amiri , Hossein & Najafi Nejad , Mahmood & Mousavi , Seyede Mohadese, 2021. "Estimation of Value at Risk (VaR) Based On Lévy-GARCH Models: Evidence from Tehran Stock Exchange," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 16(2), pages 165-186, June.
    26. Simone Manganelli & Lorenzo Cappiello & Bruno Gerard, 2004. "The Contagion Box: Measuring Co-Movements in Financial Markets by Regression Quantiles," Econometric Society 2004 Latin American Meetings 77, Econometric Society.
    27. Costello, Alexandra & Asem, Ebenezer & Gardner, Eldon, 2008. "Comparison of historically simulated VaR: Evidence from oil prices," Energy Economics, Elsevier, vol. 30(5), pages 2154-2166, September.
    28. Michelle L. Barnes & Anthony W. Hughes, 2002. "A quantile regression analysis of the cross section of stock market returns," Working Papers 02-2, Federal Reserve Bank of Boston.

  42. Engle, Robert F, 1999. "Modeling the Impacts of Market Activity on Bid-Ask Spreads in the Option Market," University of California at San Diego, Economics Working Paper Series qt6rp7g17q, Department of Economics, UC San Diego.

    Cited by:

    1. Norden, Lars, 2003. "Asymmetric option price distribution and bid-ask quotes: consequences for implied volatility smiles," Journal of Multinational Financial Management, Elsevier, vol. 13(4-5), pages 423-441, December.
    2. Engle, Robert F & Patton, Andrew J, 2000. "Impacts of Trades in an Error-Correction Model of Quote Prices," University of California at San Diego, Economics Working Paper Series qt6dm6093f, Department of Economics, UC San Diego.
    3. Guillaume, F., 2015. "The LIX: A model-independent liquidity index," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 214-231.
    4. Olan T. Henry & Michael McKenzie, 2004. "The Impact of Short Selling on the Price-Volume Relationship: Evidence from Hong Kong," Working Papers 032004, Hong Kong Institute for Monetary Research.
    5. João Amaro de Matos & Paula Antão, 2001. "Super-replicating Bounds on European Option Prices when the Underlying Asset is Illiquid," Economics Bulletin, AccessEcon, vol. 7(1), pages 1-7.
    6. Joao Amaro De Matos & Paula Antao, 2003. "Market illiquidity and bounds on European option prices," The European Journal of Finance, Taylor & Francis Journals, vol. 9(5), pages 475-498.
    7. Dmitriy Muravyev & Neil D Pearson & Stijn Van Nieuwerburgh, 2020. "Options Trading Costs Are Lower than You Think," The Review of Financial Studies, Society for Financial Studies, vol. 33(11), pages 4973-5014.
    8. Giovanni Petrella & Reuben Segara, 2013. "The bid--ask spread of bank-issued options: a quantile regression analysis," Quantitative Finance, Taylor & Francis Journals, vol. 13(8), pages 1241-1255, July.
    9. Cao, Melanie & Wei, Jason, 2010. "Option market liquidity: Commonality and other characteristics," Journal of Financial Markets, Elsevier, vol. 13(1), pages 20-48, February.
    10. Martin, G.M. & Forbes, C.S. & Martin, V.L., 2000. "Implicit Bayesian Inference Using Option Prices," Monash Econometrics and Business Statistics Working Papers 5/00, Monash University, Department of Econometrics and Business Statistics.
    11. Alain François-Heude & Ouidad Yousfi, 2014. "On the liquidity of CAC 40 index options market," Post-Print hal-02050806, HAL.
    12. François-Heude, Alain & Yousfi, Ouidad, 2013. "On the liquidity of CAC 40 index options Market," MPRA Paper 47921, University Library of Munich, Germany, revised 01 Jul 2013.
    13. Yu-Jane Liu & Zheng Zhang & Longkai Zhao, 2015. "Speculation Spillovers," Management Science, INFORMS, vol. 61(3), pages 649-664, March.
    14. Sohnke M. Bartram & Frank R. Fehle, 2003. "Alternative Market Structures for Derivatives," Finance 0311007, University Library of Munich, Germany, revised 12 Dec 2003.
    15. Korn, Olaf & Krischak, Paolo & Theissen, Erik, 2017. "Illiquidity transmission from spot to futures markets," CFR Working Papers 14-10, University of Cologne, Centre for Financial Research (CFR), revised 2017.
    16. Saraoglu, Hakan & Louton, David & Holowczak, Richard, 2014. "Institutional impact and quote behavior implications of the options penny pilot project," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(4), pages 473-486.
    17. Peter Christoffersen & Ruslan Goyenko & Kris Jacobs & Mehdi Karoui, 2011. "Illiquidity Premia in the Equity Options Market," CREATES Research Papers 2011-43, Department of Economics and Business Economics, Aarhus University.
    18. Switzer, Lorne N., 2023. "Circumventing SEC Rule 201 short sale restrictions with options," Finance Research Letters, Elsevier, vol. 55(PB).
    19. Wu, Wei-Shao & Liu, Yu-Jane & Lee, Yi-Tsung & Fok, Robert C.W., 2014. "Hedging costs, liquidity, and inventory management: The evidence from option market makers," Journal of Financial Markets, Elsevier, vol. 18(C), pages 25-48.
    20. Alejandro Bernales & Thanos Verousis & Nikolaos Voukelatos & Mengyu Zhang, 2020. "What do we know about individual equity options?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 67-91, January.
    21. Xinyue He & Teresa Serra, 2022. "Are price limits cooling off agricultural futures markets?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(5), pages 1724-1746, October.
    22. Paul D. McNelis & Carrie K.C. Chan, 2004. "Deflationary Dynamics in Hong Kong: Evidence from Linear and Neural Network Regime Switching Models," Working Papers 212004, Hong Kong Institute for Monetary Research.
    23. Sohnke M. Bartram & Frank R. Fehle, 2003. "Competition among Alternative Option Market Structures: Evidence from Eurex vs. Euwax," Finance 0307005, University Library of Munich, Germany, revised 06 Nov 2003.
    24. Griffith, Todd & Roseman, Brian & Shang, Danjue, 2020. "The effects of an increase in equity tick size on stock and option transaction costs," Journal of Banking & Finance, Elsevier, vol. 114(C).
    25. Atmaz, Adem & Basak, Suleyman, 2019. "Option prices and costly short-selling," Journal of Financial Economics, Elsevier, vol. 134(1), pages 1-28.
    26. Collver, Charles, 2009. "Measuring the impact of option market activity on the stock market: Bivariate point process models of stock and option transactions," Journal of Financial Markets, Elsevier, vol. 12(1), pages 87-106, February.
    27. Wei, Jason & Zheng, Jinguo, 2010. "Trading activity and bid-ask spreads of individual equity options," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 2897-2916, December.
    28. Anand, Amber, 2005. "Specialist: The firm or the individual?: Empirical evidence from the options markets," Journal of Economics and Business, Elsevier, vol. 57(6), pages 555-575.
    29. Choy, Siu Kai & Wei, Jason, 2020. "Liquidity risk and expected option returns," Journal of Banking & Finance, Elsevier, vol. 111(C).
    30. Joao Amaro de Matos & Paula Antao, 2000. "Market illiquidity and the Bid-Ask spread of derivatives," Nova SBE Working Paper Series wp386, Universidade Nova de Lisboa, Nova School of Business and Economics.

  43. Engle, Robert F & Manganelli, Simone, 1999. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," University of California at San Diego, Economics Working Paper Series qt06m3d6nv, Department of Economics, UC San Diego.

    Cited by:

    1. Jin Seo Cho & Tae-Hwan Kim & Yongcheol Shin, 2014. "Quantile Cointegration in the Autoregressive Distributed-Lag Modelling Framework," Working papers 2014rwp-69, Yonsei University, Yonsei Economics Research Institute.
    2. Renan O. Regis & Raydonal Ospina & Wilton Bernardino & Francisco Cribari-Neto, 2023. "Asset pricing in the Brazilian financial market: five-factor GAMLSS modeling," Empirical Economics, Springer, vol. 64(5), pages 2373-2409, May.
    3. Nieto, María Rosa & Ruiz Ortega, Esther, 2008. "Measuring financial risk : comparison of alternative procedures to estimate VaR and ES," DES - Working Papers. Statistics and Econometrics. WS ws087326, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Leopoldo Catania & Nima Nonejad, 2016. "Density Forecasts and the Leverage Effect: Some Evidence from Observation and Parameter-Driven Volatility Models," Papers 1605.00230, arXiv.org, revised Nov 2016.
    5. Wolf, Elias, 2022. "Estimating growth at risk with skewed stochastic volatility models," Discussion Papers 2022/2, Free University Berlin, School of Business & Economics.
    6. Giot, Pierre & Laurent, Sebastien, 2004. "Modelling daily Value-at-Risk using realized volatility and ARCH type models," Journal of Empirical Finance, Elsevier, vol. 11(3), pages 379-398, June.
    7. Henning Fischer & Ángela Blanco‐FERNÁndez & Peter Winker, 2016. "Predicting Stock Return Volatility: Can We Benefit from Regression Models for Return Intervals?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(2), pages 113-146, March.
    8. Ñíguez, Trino-Manuel & Perote, Javier, 2017. "Moments expansion densities for quantifying financial risk," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 53-69.
    9. Kuan, Chung-Ming & Yeh, Jin-Huei & Hsu, Yu-Chin, 2009. "Assessing value at risk with CARE, the Conditional Autoregressive Expectile models," Journal of Econometrics, Elsevier, vol. 150(2), pages 261-270, June.
    10. Gerlach, Richard & Wang, Chao, 2020. "Semi-parametric dynamic asymmetric Laplace models for tail risk forecasting, incorporating realized measures," International Journal of Forecasting, Elsevier, vol. 36(2), pages 489-506.
    11. Chan, Ngai Hang & Sit, Tony, 2016. "Artifactual unit root behavior of Value at risk (VaR)," Statistics & Probability Letters, Elsevier, vol. 116(C), pages 88-93.
    12. Alice X. D. Dong & Jennifer S. K. Chan & Gareth W. Peters, 2014. "Risk Margin Quantile Function Via Parametric and Non-Parametric Bayesian Quantile Regression," Papers 1402.2492, arXiv.org.
    13. Mittnik, Stefan, 2013. "VaR-implied tail-correlation matrices," CFS Working Paper Series 2013/05, Center for Financial Studies (CFS).
    14. Kawakami, Tabito, 2023. "Quantile prediction for Bitcoin returns using financial assets’ realized measures," Finance Research Letters, Elsevier, vol. 55(PA).
    15. Fabian Hollstein & Marcel Prokopczuk & Christoph Würsig, 2020. "Volatility term structures in commodity markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(4), pages 527-555, April.
    16. James W. Taylor, 2012. "Density Forecasting of Intraday Call Center Arrivals Using Models Based on Exponential Smoothing," Management Science, INFORMS, vol. 58(3), pages 534-549, March.
    17. Guo, Yawei & Li, Jianping & Li, Yehua & You, Wanhai, 2021. "The roles of political risk and crude oil in stock market based on quantile cointegration approach: A comparative study in China and US," Energy Economics, Elsevier, vol. 97(C).
    18. Salisu, Afees A. & Ogbonna, Ahamuefula E. & Vo, Xuan Vinh, 2023. "Oil tail risks and the realized variance of consumer prices in advanced economies," Resources Policy, Elsevier, vol. 83(C).
    19. Kingston, Kato Gogo, 2010. "The Dynamics of Gang Criminality and Corruption in Nigeria Universities: A Time Series Analysis," MPRA Paper 28607, University Library of Munich, Germany.
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    1. Clive G. Bowsher, 2005. "Modelling Security Market Events in Continuous Time: Intensity Based, Multivariate Point Process Models," Economics Papers 2005-W26, Economics Group, Nuffield College, University of Oxford.
    2. Warren Bailey & Lin Zheng & Yinggang Zhou, 2012. "What Makes the VIX Tick?," Working Papers 222012, Hong Kong Institute for Monetary Research.
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    5. Hautsch, Nikolaus, 1999. "Analyzing the Time between Trades with a Gamma Compounded Hazard Model. An Application to LIFFE Bund Future Transactions," CoFE Discussion Papers 99/03, University of Konstanz, Center of Finance and Econometrics (CoFE).
    6. Luc Bauwens & Nikolaus Hautsch, 2007. "Modelling Financial High Frequency Data Using Point Processes," SFB 649 Discussion Papers SFB649DP2007-066, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
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    2. Barbara Rossi, 2011. "Advances in Forecasting Under Instability," Working Papers 11-20, Duke University, Department of Economics.
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    4. J. Cuñado & L. Gil-Alana & F. Gracia, 2009. "US stock market volatility persistence: evidence before and after the burst of the IT bubble," Review of Quantitative Finance and Accounting, Springer, vol. 33(3), pages 233-252, October.
    5. Lu, Yang K. & Perron, Pierre, 2010. "Modeling and forecasting stock return volatility using a random level shift model," Journal of Empirical Finance, Elsevier, vol. 17(1), pages 138-156, January.
    6. Andrea Monticini & Francesco Ravazzolo, 2014. "Forecasting the intraday market price of money," DISCE - Working Papers del Dipartimento di Economia e Finanza def010, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
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  47. Engle, Robert F, 1998. "Macroeconomic Announcements and Volatility of Treasury Futures," University of California at San Diego, Economics Working Paper Series qt7rd4g3bk, Department of Economics, UC San Diego.

    Cited by:

    1. Hossein Asgharian & Mia Holmfeldt & Marcus Larson, 2011. "An event study of price movements following realized jumps," Quantitative Finance, Taylor & Francis Journals, vol. 11(6), pages 933-946.
    2. Nikolaus Hautsch & Dieter Hess, 2004. "Bayesian Learning in Financial Markets – Testing for the Relevance of Information Precision in Price Discovery," FRU Working Papers 2004/06, University of Copenhagen. Department of Economics. Finance Research Unit.
    3. Lorenzo Cappiello & Robert F. Engle & Kevin Sheppard, 2006. "Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns," Journal of Financial Econometrics, Oxford University Press, vol. 4(4), pages 537-572.
    4. Christiansen, Charlotte, 2000. "Credit Spreads and the Term Structure of Interest Rates," Finance Working Papers 00-14, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    5. Mira Farka, 2009. "The effect of monetary policy shocks on stock prices accounting for endogeneity and omitted variable biases," Review of Financial Economics, John Wiley & Sons, vol. 18(1), pages 47-55, January.
    6. Eugene Durenard & David Veredas, 2002. "Macro Surprises And Short-Term Behaviour In Bond Futures," CIRANO Working Papers 2002s-03, CIRANO.
    7. Chen, Kim Heng & Han, Li-Ming, 2006. "Efficiency in Information Processing: A Study of Non-Nearby Currency Futures and Relationships with Nearby Counterparts," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 2(1), pages 1-29.
    8. de Goeij, Peter & Marquering, Wessel, 2006. "Macroeconomic announcements and asymmetric volatility in bond returns," Journal of Banking & Finance, Elsevier, vol. 30(10), pages 2659-2680, October.
    9. Claudio Loderer & Marc-André Mittermayer, 2006. "America and the Swiss Stock Exchange: An Intraday Analysis," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 142(I), pages 79-114, March.
    10. Balli, Faruk, 2008. "Spillover Effects on Government Bond Yields in Euro Zone. Does Full Financial Integration Exist in European Government Bond Markets?," MPRA Paper 10162, University Library of Munich, Germany.
    11. Farka, Mira, 2009. "The effect of monetary policy shocks on stock prices accounting for endogeneity and omitted variable biases," Review of Financial Economics, Elsevier, vol. 18(1), pages 47-55, January.
    12. Xinsheng Lu & Ling Qu & Ying Zhou, 2015. "The Impact of Monetary Surprises on Australian Financial Futures Markets: An Insight into Cash Rate Target Announcements," Australian Economic Papers, Wiley Blackwell, vol. 54(3), pages 151-166, September.
    13. Madhuri Malhotra & M. Thenmozhi & Arun Kumar Gopalaswamy, 2011. "Evidence on Changes in Time Varying Volatility around Bonus and Rights Issue Announcements," Working Papers 2011-061, Madras School of Economics,Chennai,India.
    14. Victor Fang & Chien-Ting Lin & Kunaal Parbhoo, 2008. "Macroeconomic News, Business Cycles and Australian Financial Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 15(3), pages 185-207, December.
    15. Torben G. Andersen & Luca Benzoni, 2007. "Do Bonds Span Volatility Risk in the U.S. Treasury Market? A Specification test for Affine Term Structure Models," NBER Working Papers 12962, National Bureau of Economic Research, Inc.
    16. Nowak, Sylwia & Anderson, Heather M., 2014. "How does public information affect the frequency of trading in airline stocks?," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 26-38.
    17. Rohan Christie‐David & Mukesh Chaudhry & James T. Lindley, 2003. "The Effects of Unanticipated Macroeconomic News on Debt Markets," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 26(3), pages 319-339, September.
    18. Berna Karali & Walter N. Thurman, 2009. "Announcement effects and the theory of storage: an empirical study of lumber futures," Agricultural Economics, International Association of Agricultural Economists, vol. 40(4), pages 421-436, July.
    19. Massimiliano Caporin & Francesco Poli, 2017. "Building News Measures from Textual Data and an Application to Volatility Forecasting," Econometrics, MDPI, vol. 5(3), pages 1-46, August.
    20. Nowak, Sylwia & Andritzky, Jochen & Jobst, Andreas & Tamirisa, Natalia, 2011. "Macroeconomic fundamentals, price discovery, and volatility dynamics in emerging bond markets," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2584-2597, October.
    21. Liu, Hsiang-Hsi & Wang, Teng-Kun & Li, Weny, 2019. "Dynamical Volatility and Correlation among US Stock and Treasury Bond Cash and Futures Markets in Presence of Financial Crisis: A Copula Approach," Research in International Business and Finance, Elsevier, vol. 48(C), pages 381-396.
    22. Lee A. Smales, 2021. "The effect of treasury auctions on 10‐year Treasury note futures," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 1517-1555, April.
    23. Antulio N. Bomfim, 2000. "Pre-announcement effects, news, and volatility: monetary policy and the stock market," Finance and Economics Discussion Series 2000-50, Board of Governors of the Federal Reserve System (U.S.).
    24. Karali, Berna & Dorfman, Jeffrey H. & Thurman, Walter N., 2008. "Do Inventory and Time-to-Delivery Effects Vary Across Futures Contracts? Insights from a Smoothed Bayesian Estimator," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6084, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    25. Michael J. Fleming & Jose A. Lopez, 1999. "Heat waves, meteor showers, and trading volume: an analysis of volatility spillovers in the U.S. Treasury market," Staff Reports 82, Federal Reserve Bank of New York.
    26. Banerjee, Ameet Kumar & Pradhan, H.K., 2022. "Intraday analysis of macroeconomic news surprises, and asymmetries in Indian benchmark bond," Finance Research Letters, Elsevier, vol. 45(C).
    27. Sanjay Ramchander & Marc Simpson & Mukesh Chaudhry, 2003. "The impact of inflationary news on money market yields and volatilities," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 27(1), pages 85-101, March.
    28. Karali, Berna & Thurman, Walter N., 2008. "Volatility Persistence in Commodity Futures:Inventory and Time-to-Delivery Effects," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37612, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    29. Sylwia Nowak, 2008. "How Do Public Announcements Affect The Frequency Of Trading In U.S. Airline Stocks?," CAMA Working Papers 2008-38, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    30. Akhtar, Shumi & Akhtar, Farida & Jahromi, Maria & John, Kose, 2017. "Impact of interest rate surprises on Islamic and conventional stocks and bonds," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 218-231.
    31. Vladimír Pikora, 2007. "Vliv zveřejněných informací na výnosovou křivku [The impact of fresh releases on the yield curve]," Politická ekonomie, Prague University of Economics and Business, vol. 2007(6), pages 809-828.
    32. Tuysuz, Sukriye, 2007. "The asymmetric impact of macroeconomic announcements on U.S. Government bond rate level and volatility," MPRA Paper 5381, University Library of Munich, Germany.
    33. Lucjan T. Orlowski, 2015. "From pit to electronic trading: Impact on price volatility of U.S. Treasury futures," Review of Financial Economics, John Wiley & Sons, vol. 25(1), pages 3-9, April.
    34. Hautsch, Nikolaus & Hess, Dieter, 2002. "The processing of non-anticipated information in financial markets: Analyzing the impact of surprises in the employment report," CoFE Discussion Papers 02/06, University of Konstanz, Center of Finance and Econometrics (CoFE).
    35. Barbara Bedowska-Sojka, 2011. "The Impact of Macro News on Volatility of Stock Exchanges," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 11, pages 99-110.
    36. Jon Wongswan, 2003. "Transmission of information across international equity markets," International Finance Discussion Papers 759, Board of Governors of the Federal Reserve System (U.S.).
    37. Han, Young Wook, 2007. "High frequency perspective on jump process, long memory property and temporal aggregation: Case of $-AUD exchange rates," Japan and the World Economy, Elsevier, vol. 19(2), pages 248-262, March.
    38. Isengildina, Olga & Irwin, Scott H. & Good, Darrel L., 2005. "The Value of USDA Situation and Outlook Information in Hog and Cattle Markets," 2005 Conference, April 18-19, 2005, St. Louis, Missouri 19050, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    39. David Veredas, 2006. "Macroeconomic surprises and short-term behaviour in bond futures," Empirical Economics, Springer, vol. 30(4), pages 843-866, January.
    40. Beetsma, Roel & de Jong, Frank & Giuliodori, Massimo & Widijanto, Daniel, 2014. "The Impact of News and the SMP on Realized (Co)Variances in the Eurozone Sovereign Debt Market," CEPR Discussion Papers 9803, C.E.P.R. Discussion Papers.
    41. Smales, L.A., 2021. "Macroeconomic news and treasury futures return volatility: Do treasury auctions matter?," Global Finance Journal, Elsevier, vol. 48(C).
    42. Henryk Gurgul & Tomasz Wójtowicz, 2014. "The impact of US macroeconomic news on the Polish stock market," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(4), pages 795-817, December.
    43. Dungey, Mardi & McKenzie, Michael & Smith, L. Vanessa, 2009. "Empirical evidence on jumps in the term structure of the US Treasury Market," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 430-445, June.
    44. Barbara Będowska-Sójka, 2010. "Intraday CAC40, DAX and WIG20 returns when the American macro news is announced," Bank i Kredyt, Narodowy Bank Polski, vol. 41(2), pages 7-20.
    45. Monika Piazzesi, 2001. "An Econometric Model of the Yield Curve with Macroeconomic Jump Effects," NBER Working Papers 8246, National Bureau of Economic Research, Inc.
    46. Michailidis, G., 2009. "Multivariate methods in examining macroeconomic variables effect on Greek stock market returns, 1997-2004," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 9(1).
    47. Brenner, Menachem & Pasquariello, Paolo & Subrahmanyam, Marti, 2009. "On the Volatility and Comovement of U.S. Financial Markets around Macroeconomic News Announcements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(6), pages 1265-1289, December.
    48. Beetsma, Roel & de Jong, Frank & Giuliodori, Massimo & Widijanto, Daniel, 2017. "Realized (co)variances of eurozone sovereign yields during the crisis: The impact of news and the Securities Markets Programme," Journal of International Money and Finance, Elsevier, vol. 75(C), pages 14-31.
    49. Bomfim, Antulio N., 2003. "Pre-announcement effects, news effects, and volatility: Monetary policy and the stock market," Journal of Banking & Finance, Elsevier, vol. 27(1), pages 133-151, January.

  48. Robert F. Engle & Joe Lange, 1997. "Measuring, Forecasting and Explaining Time Varying Liquidity in the Stock Market," NBER Working Papers 6129, National Bureau of Economic Research, Inc.

    Cited by:

    1. Michael J. Fleming, 2001. "Measuring treasury market liquidity," Staff Reports 133, Federal Reserve Bank of New York.
    2. Avinash Persaud, 2002. "Liquidity Black Holes: And Why Modern Financial Regulation in Developed Countries is making Short-Term Capital Flows to Developing Countries Even More Volatile," WIDER Working Paper Series DP2002-31, World Institute for Development Economic Research (UNU-WIDER).
    3. Engle, Robert F & Patton, Andrew J, 2000. "Impacts of Trades in an Error-Correction Model of Quote Prices," University of California at San Diego, Economics Working Paper Series qt6dm6093f, Department of Economics, UC San Diego.
    4. Toni Gravelle, 1999. "Liquidity of the Government of Canada Securities Market: Stylized Facts and Some Market Microstructure Comparisons to the United States Treasury Market," Staff Working Papers 99-11, Bank of Canada.
    5. Apergis, Nicholas & Voliotis, Dimitrios, 2015. "Spillover effects between lit and dark stock markets: Evidence from a panel of London Stock Exchange transactions," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 101-106.
    6. Nadeem Nazir & Hamad Raza, 2017. "Testing Microstructure Theory on Karachi Stock Exchange," Information Management and Business Review, AMH International, vol. 9(2), pages 16-24.
    7. Edward Curran & Jack Hunt & Vito Mollica, 2021. "Single stock futures and their impact on market quality: Be careful what you wish for," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(11), pages 1677-1692, November.
    8. Kutas, Gábor & Végh, Richárd, 2005. "A Budapest Likviditási Mérték bevezetéséről. A magyar részvények likviditásának összehasonlító elemzése a budapesti, a varsói és a londoni értéktőzsdéken [Introduction of the Budapest Liquidity Mea," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 686-711.
    9. Maruyama, Hiroyuki & Tabata, Tomoaki, 2022. "Timing of tick size reduction: Threshold and smooth transition model analysis," Finance Research Letters, Elsevier, vol. 45(C).
    10. Edith Hotchkiss & Gergana Jostova, 2017. "Determinants of Corporate Bond Trading: A Comprehensive Analysis," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 1-30, June.
    11. Olbrys, Joanna & Mursztyn, Michal, 2019. "Estimation of intraday stock market resiliency: Short-Time Fourier Transform approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    12. Schmidt, Anatoly B., 2000. "Modeling the birth of a liquid market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 283(3), pages 479-485.
    13. Olbrys, Joanna & Mursztyn, Michal, 2019. "Measuring stock market resiliency with Discrete Fourier Transform for high frequency data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 248-256.
    14. Font, Begoña, 1998. "Modelización de series temporales financieras. Una recopilación," DES - Documentos de Trabajo. Estadística y Econometría. DS 3664, Universidad Carlos III de Madrid. Departamento de Estadística.
    15. Pascual, Roberto & Escribano, Álvaro & Tapia, Mikel, 1999. "How does liquidity behave? A multidimensional analysis of NYSE stocks," DEE - Working Papers. Business Economics. WB 6433, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    16. Díaz, Antonio & Escribano, Ana, 2020. "Measuring the multi-faceted dimension of liquidity in financial markets: A literature review," Research in International Business and Finance, Elsevier, vol. 51(C).
    17. Hautsch, Nikolaus, 2002. "Modelling Intraday Trading Activity Using Box-Cox-ACD Models," CoFE Discussion Papers 02/05, University of Konstanz, Center of Finance and Econometrics (CoFE).
    18. BAUWENS, Luc & GIOT, Pierre, 1998. "Asymmetric ACD models: introducing price information in ACD models with a two state transition model," LIDAM Discussion Papers CORE 1998044, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    19. Dionne, Georges & Duchesne, Pierre & Pacurar, Maria, 2005. "Intraday Value at Risk (IVaR) using tick-by-tick data with application to the Toronto Stock Exchange," Working Papers 05-9, HEC Montreal, Canada Research Chair in Risk Management.
    20. Magdalena Osinska & Andrzej Dobrzynski & Yochanan Shachmurove, 2016. "Performance Of American And Russian Joint Stock Companies On Financial Market. A Microstructure Perspective," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(4), pages 819-851, December.
    21. Ghysels, Eric & Gourieroux, Christian & Jasiak, Joann, 2004. "Stochastic volatility duration models," Journal of Econometrics, Elsevier, vol. 119(2), pages 413-433, April.
    22. Robert F. Engle & Asger Lunde, 2003. "Trades and Quotes: A Bivariate Point Process," Journal of Financial Econometrics, Oxford University Press, vol. 1(2), pages 159-188.
    23. Jun Muranaga, 1999. "Dynamics of Market Liquidity of Japanese Stocks: An Analysis of Tick-by-Tick Data of the Tokyo Stock Exchange," CGFS Papers chapters, in: Bank for International Settlements (ed.), Market Liquidity: Research Findings and Selected Policy Implications, volume 11, pages 1-25, Bank for International Settlements.
    24. Alfonso Dufour & Robert F Engle, 2000. "The ACD Model: Predictability of the Time Between Concecutive Trades," ICMA Centre Discussion Papers in Finance icma-dp2000-05, Henley Business School, University of Reading.
    25. María-Dolores, Ramón, 1999. "Variaciones en el tipo de intervención del banco de España: Un análisis mediante un enfoque alternativo," DE - Documentos de Trabajo. Economía. DE 3895, Universidad Carlos III de Madrid. Departamento de Economía.

  49. Joshua V. Rosenberg & Robert F. Engle, 1997. "Option Hedging Using Empirical Pricing Kernels," NBER Working Papers 6222, National Bureau of Economic Research, Inc.

    Cited by:

    1. Timmermann, Allan & Guidolin, Massimo, 2001. "Option Prices under Bayesian Learning: Implied Volatility Dynamics and Predictive Densities," CEPR Discussion Papers 3005, C.E.P.R. Discussion Papers.
    2. Jackwerth, Jens Carsten, 2000. "Recovering Risk Aversion from Option Prices and Realized Returns," The Review of Financial Studies, Society for Financial Studies, vol. 13(2), pages 433-451.
    3. Martin, G.M. & Forbes, C.S. & Martin, V.L., 2000. "Implicit Bayesian Inference Using Option Prices," Monash Econometrics and Business Statistics Working Papers 5/00, Monash University, Department of Econometrics and Business Statistics.
    4. G.C. Lim & G.M. Martin & V.L. Martin, 2002. "Parametric Pricing of Higher Order Moments in S&P500 Options," Monash Econometrics and Business Statistics Working Papers 1/02, Monash University, Department of Econometrics and Business Statistics.
    5. Jorge Barros Luís, 2000. "The Estimation of Risk Premium Implicit in Oil Prices," Working Papers w200002, Banco de Portugal, Economics and Research Department.
    6. Lim, G.C. & Martin, G.M. & Martin, V.L., 2006. "Pricing currency options in the presence of time-varying volatility and non-normalities," Journal of Multinational Financial Management, Elsevier, vol. 16(3), pages 291-314, July.

  50. Robert F. Engle, 1996. "The Econometrics of Ultra-High Frequency Data," NBER Working Papers 5816, National Bureau of Economic Research, Inc.

    Cited by:

    1. Burton Hollifield & Robert A. Miller & patrik Sandas, "undated". "An Empirical Analysis of Limit Order Markets," Rodney L. White Center for Financial Research Working Papers 29-99, Wharton School Rodney L. White Center for Financial Research.
    2. Meddahi, N. & Renault, E. & Werker, B.J.M., 2003. "GARCH and Irregularly Spaced Data," Discussion Paper 2003-27, Tilburg University, Center for Economic Research.
    3. Sazuka, Naoya & Inoue, Jun-ichi & Scalas, Enrico, 2009. "The distribution of first-passage times and durations in FOREX and future markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(14), pages 2839-2853.
    4. Dungey, Mardi & Henry, Olan & McKenzie, Michael, 2010. "From Trade-to-Trade in US Treasuries," Working Papers 10446, University of Tasmania, Tasmanian School of Business and Economics, revised 01 May 2010.
    5. Gu, Gao-Feng & Chen, Wei & Zhou, Wei-Xing, 2008. "Empirical shape function of limit-order books in the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(21), pages 5182-5188.
    6. Giuseppe Cavaliere & Thomas Mikosch & Anders Rahbek & Frederik Vilandt, 2022. "The Econometrics of Financial Duration Modeling," Papers 2208.02098, arXiv.org, revised Dec 2022.
    7. Manganelli, Simone, 2005. "Duration, volume and volatility impact of trades," Journal of Financial Markets, Elsevier, vol. 8(4), pages 377-399, November.
    8. Markus Engler & Vahidin Jeleskovic, 2016. "Intraday volatility, trading volume and trading intensity in the interbank market e-MID," MAGKS Papers on Economics 201648, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    9. Nikolaus Hautsch & Vahidin Jeleskovic, 2008. "Modelling High-Frequency Volatility and Liquidity Using Multiplicative Error Models," SFB 649 Discussion Papers SFB649DP2008-047, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    10. VEREDAS, David & RODRIGUEZ-POO, Juan & ESPASA, Antoni, 2002. "On the (intradaily) seasonality and dynamics of a financial point process: a semiparametric approach," LIDAM Discussion Papers CORE 2002023, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    11. Jacopo Staccioli & Mauro Napoletano, 2018. "An agent-based model of intra-day financialmarkets dynamics," Sciences Po publications 34, Sciences Po.
    12. Dufour, Alfonso & Engle, Robert F, 1999. "Time and the Price Impact of a Trade," University of California at San Diego, Economics Working Paper Series qt62c0h04j, Department of Economics, UC San Diego.
    13. James D. Hamilton & Oscar Jorda, 2002. "A Model of the Federal Funds Rate Target," Journal of Political Economy, University of Chicago Press, vol. 110(5), pages 1135-1167, October.
    14. Luintel, Kul B & Xu, Yongdeng, 2013. "Testing weak exogeneity in multiplicative error models," Cardiff Economics Working Papers E2013/6, Cardiff University, Cardiff Business School, Economics Section.
    15. Dingan Feng & Peter X.-K. Song & Tony S. Wirjanto, 2008. "Time-Deformation Modeling Of Stock Returns Directed By Duration Processes," Working Papers 08010, University of Waterloo, Department of Economics.
    16. Engle, Robert F & Patton, Andrew J, 2000. "Impacts of Trades in an Error-Correction Model of Quote Prices," University of California at San Diego, Economics Working Paper Series qt6dm6093f, Department of Economics, UC San Diego.
    17. Filip Žikeš & Jozef Baruník & Nikhil Shenai, 2017. "Modeling and forecasting persistent financial durations," Econometric Reviews, Taylor & Francis Journals, vol. 36(10), pages 1081-1110, November.
    18. Pyrlik, Vladimir, 2013. "Autoregressive conditional duration as a model for financial market crashes prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 6041-6051.
    19. Radosław Cholewiński, 2009. "Real-Time Market Abuse Detection with a Stochastic Parameter Model," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(3), pages 261-284, November.
    20. Bollerslev, Tim, 2001. "Financial econometrics: Past developments and future challenges," Journal of Econometrics, Elsevier, vol. 100(1), pages 41-51, January.
    21. Dingan Feng & Peter X.-K. Song & Tony S. Wirjanto, 2015. "Time-Deformation Modeling of Stock Returns Directed by Duration Processes," Econometric Reviews, Taylor & Francis Journals, vol. 34(4), pages 480-511, April.
    22. Ole E. Barndorff-Nielsen & Neil Shephard, 2005. "Variation, jumps, market frictions and high frequency data in financial econometrics," OFRC Working Papers Series 2005fe08, Oxford Financial Research Centre.
    23. Xiufeng Yan, 2021. "Autoregressive conditional duration modelling of high frequency data," Papers 2111.02300, arXiv.org.
    24. David German & Henry Schellhorn, 2012. "A No-Arbitrage Model of Liquidity in Financial Markets involving Brownian Sheets," Papers 1206.4804, arXiv.org.
    25. Clive G. Bowsher, 2005. "Modelling Security Market Events in Continuous Time: Intensity Based, Multivariate Point Process Models," Economics Papers 2005-W26, Economics Group, Nuffield College, University of Oxford.
    26. Bowe, Michael & Hyde, Stuart & McFarlane, Lavern, 2013. "Duration, trading volume and the price impact of trades in an emerging futures market," Emerging Markets Review, Elsevier, vol. 17(C), pages 89-105.
    27. Chen, Richard Y. & Mykland, Per A., 2017. "Model-free approaches to discern non-stationary microstructure noise and time-varying liquidity in high-frequency data," Journal of Econometrics, Elsevier, vol. 200(1), pages 79-103.
    28. Prigent, Jean-Luc & Renault, Olivier & Scaillet, Olivier, 2000. "An auto-regressive conditional binomial option pricing model," LSE Research Online Documents on Economics 119095, London School of Economics and Political Science, LSE Library.
    29. Qianqiu Liu, 2009. "On portfolio optimization: How and when do we benefit from high-frequency data?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 560-582.
    30. DOLADO , Juan J. & RODRIGUEZ-POO, Juan & VEREDAS, David, 2004. "Testing weak exogeneity in the exponential family : an application to financial point processes," LIDAM Discussion Papers CORE 2004049, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    31. Fukasawa, Masaaki, 2010. "Realized volatility with stochastic sampling," Stochastic Processes and their Applications, Elsevier, vol. 120(6), pages 829-852, June.
    32. Jie Xiong & Yong Zeng, 2011. "A branching particle approximation to a filtering micromovement model of asset price," Statistical Inference for Stochastic Processes, Springer, vol. 14(2), pages 111-140, May.
    33. Thierry Foucault & Sophie Moinas & Erik Theissen, 2007. "Does Anonymity Matter in Electronic Limit Order Markets?," Post-Print hal-00459795, HAL.
    34. Christian M. Hafner, 2000. "Durations, Volume and the Prediction of Financial Returns in Transaction Time," Econometric Society World Congress 2000 Contributed Papers 0599, Econometric Society.
    35. Jin Seo Cho & Halbert White, 2009. "Testing for Unobserved Heterogeneity in Exponential and Weibull Duration Models," Discussion Paper Series 0912, Institute of Economic Research, Korea University.
    36. Marc Hallin & Davide La Vecchia, 2017. "A Simple R-Estimation Method for Semiparametric Duration Models," Working Papers ECARES ECARES 2017-01, ULB -- Universite Libre de Bruxelles.
    37. Jiang, George J. & Oomen, Roel C.A., 2008. "Testing for jumps when asset prices are observed with noise-a "swap variance" approach," Journal of Econometrics, Elsevier, vol. 144(2), pages 352-370, June.
    38. Degiannakis, Stavros & Floros, Christos, 2013. "Modeling CAC40 volatility using ultra-high frequency data," Research in International Business and Finance, Elsevier, vol. 28(C), pages 68-81.
    39. Drost, F.C. & Werker, B.J.M., 2001. "Semiparametric Duration Models," Discussion Paper 2001-11, Tilburg University, Center for Economic Research.
    40. Dmitri Koulikov, 2002. "Modeling Sequences of Long Memory Positive Weakly Stationary Random Variables," William Davidson Institute Working Papers Series 493, William Davidson Institute at the University of Michigan.
    41. Dionne, Georges & Pacurar, Maria & Zhou, Xiaozhou, 2014. "Liquidity-adjusted Intraday Value at Risk modeling and risk management: An application to data from Deutsche Börse," Working Papers 14-1, HEC Montreal, Canada Research Chair in Risk Management.
    42. Schotman, Peter C & Frijns, Bart, 2004. "Price Discovery in Tick Time," CEPR Discussion Papers 4456, C.E.P.R. Discussion Papers.
    43. Bodnar, Taras & Hautsch, Nikolaus, 2016. "Dynamic conditional correlation multiplicative error processes," Journal of Empirical Finance, Elsevier, vol. 36(C), pages 41-67.
    44. Biais, Bruno & Glosten, Larry & Spatt, Chester, 2005. "Market microstructure: A survey of microfoundations, empirical results, and policy implications," Journal of Financial Markets, Elsevier, vol. 8(2), pages 217-264, May.
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  51. Robert F. Engle & Joshua V. Rosenberg, 1995. "GARCH Gamma," NBER Working Papers 5128, National Bureau of Economic Research, Inc.

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    1. Robert F. Engle & Joshua Rosenberg, 1966. "Testing the Volatility Term Structure Using Option Hedging Criteria," New York University, Leonard N. Stern School Finance Department Working Paper Seires 96-24, New York University, Leonard N. Stern School of Business-.
    2. Tim Bollerslev, 2008. "Glossary to ARCH (GARCH)," CREATES Research Papers 2008-49, Department of Economics and Business Economics, Aarhus University.
    3. Joshua Rosenberg & Robert F. Engle, 2000. "Empirical Pricing Kernels," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-014, New York University, Leonard N. Stern School of Business-.
    4. Malik, Farooq & Ewing, Bradley T., 2009. "Volatility transmission between oil prices and equity sector returns," International Review of Financial Analysis, Elsevier, vol. 18(3), pages 95-100, June.
    5. Peter Hans Matthews, 2004. "Paradise Lost and Found? The Econometric Contributions of Clive W.J. Granger and Robert F. Engle," Middlebury College Working Paper Series 0416, Middlebury College, Department of Economics.
    6. Francis X. Diebold, 2004. "The Nobel Memorial Prize for Robert F. Engle," PIER Working Paper Archive 04-010, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    7. Badescu, Alexandru & Elliott, Robert J. & Ortega, Juan-Pablo, 2014. "Quadratic hedging schemes for non-Gaussian GARCH models," Journal of Economic Dynamics and Control, Elsevier, vol. 42(C), pages 13-32.
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    9. Walsh, David M., 1999. "Some exotic options under symmetric and asymmetric conditional volatility of returns," Journal of Multinational Financial Management, Elsevier, vol. 9(3-4), pages 403-417, November.

  52. Robert F. Engle & Jeffrey R. Russell, 1994. "Forecasting Transaction Rates: The Autoregressive Conditional Duration Model," NBER Working Papers 4966, National Bureau of Economic Research, Inc.

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    1. Dufour, Alfonso & Engle, Robert F, 1999. "Time and the Price Impact of a Trade," University of California at San Diego, Economics Working Paper Series qt62c0h04j, Department of Economics, UC San Diego.
    2. Eric Ghysels & Joann Jasiak, 1997. "GARCH for Irregularly Spaced Data: The ACD-GARCH Model," CIRANO Working Papers 97s-06, CIRANO.
    3. Allen, David & Chan, Felix & McAleer, Michael & Peiris, Shelton, 2008. "Finite sample properties of the QMLE for the Log-ACD model: Application to Australian stocks," Journal of Econometrics, Elsevier, vol. 147(1), pages 163-185, November.
    4. Chen, Tao & Li, Jie & Cai, Jun, 2008. "Information content of inter-trade time on the Chinese market," Emerging Markets Review, Elsevier, vol. 9(3), pages 174-193, September.
    5. Neil Shephard & Michael K Pitt, 1995. "Likelihood analysis of non-Gaussian parameter driven models," Economics Papers 15 & 108., Economics Group, Nuffield College, University of Oxford.
    6. Ponta, Linda & Trinh, Mailan & Raberto, Marco & Scalas, Enrico & Cincotti, Silvano, 2019. "Modeling non-stationarities in high-frequency financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 173-196.
    7. Asani Sarkar & Robert A. Schwartz, 2006. "Two-sided markets and intertemporal trade clustering: insights into trading motives," Staff Reports 246, Federal Reserve Bank of New York.
    8. Florian Ielpo & Dominique Gúegan, 2009. "Understanding the Importance of the Duration and Size of the Variations of Fed’s Target Rate," The IUP Journal of Monetary Economics, IUP Publications, vol. 0(3-4), pages 44-72, August.
    9. Ielpo, Florian & Guégan, Dominique, 2006. "An econometric specification of monetary policy dark art," MPRA Paper 1004, University Library of Munich, Germany, revised 07 Oct 2006.
    10. Tina Hviid Rydberg & Neil Shephard, 2000. "BIN Models for Trade-by-Trade Data. Modelling the Number of Trades in a Fixed Interval of Time," Econometric Society World Congress 2000 Contributed Papers 0740, Econometric Society.
    11. Alfonso Dufour & Robert F Engle, 2000. "The ACD Model: Predictability of the Time Between Concecutive Trades," ICMA Centre Discussion Papers in Finance icma-dp2000-05, Henley Business School, University of Reading.

  53. Engle, R. F. & Issler, João Victor, 1994. "Estimating sectoral cycles using cointegration and common features," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 232, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).

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    1. Issler, João Victor & Vahid, Farshid, 2003. "The missing link: using the NBER recession indicator to construct coincident and leading indices economic activity," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 492, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    2. Carrasco-Gutierrez, Carlos Enrique & Reis Gomes, Fábio Augusto, 2007. "Evidence on Common Feature and Business Cycle Synchronization in Mercosur," MPRA Paper 66064, University Library of Munich, Germany, revised 2009.
    3. Liang, Chyi-Lyi (Kathleen) & Feuz, Dillon M. & Taylor, R. Garth, 1997. "Cointegration Tests of Spatial and Variety Price Linkages in Regional Dry Bean Markets," 1997 Annual Meeting, July 13-16, 1997, Reno\ Sparks, Nevada 35787, Western Agricultural Economics Association.
    4. Chan Swee Lean, 2001. "Empirical tests to discern linkages between construction and other economic sectors in Singapore," Construction Management and Economics, Taylor & Francis Journals, vol. 19(4), pages 355-363.
    5. Calcagnini, Giorgio, 1995. "Common trends and common cycles in international labor productivity," Economics Letters, Elsevier, vol. 48(2), pages 179-184, May.
    6. Lucke, Bernd, 1998. "Productivity shocks in a sectoral real business cycle model for West Germany," European Economic Review, Elsevier, vol. 42(2), pages 311-327, February.
    7. Issler, João Victor & Vahid, Farshid, 2001. "The missing link: using the NBER recessions indicator to construct coincident and leading indices of economic activity," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 429, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    8. Swee-Lean Chan, 2002. "Responses of selected economic indicators to construction output shocks: the case of Singapore," Construction Management and Economics, Taylor & Francis Journals, vol. 20(6), pages 523-533.

  54. Robert F. Engle & Joshua Rosenberg, 1994. "Hedging Options in a GARCH Environment: Testing the Term Structure of Stochastic Volatility Models," NBER Working Papers 4958, National Bureau of Economic Research, Inc.

    Cited by:

    1. Robert F. Engle & Joshua V. Rosenberg, 1995. "GARCH Gamma," NBER Working Papers 5128, National Bureau of Economic Research, Inc.
    2. Benavides, Guillermo & Capistrán, Carlos, 2012. "Forecasting exchange rate volatility: The superior performance of conditional combinations of time series and option implied forecasts," Journal of Empirical Finance, Elsevier, vol. 19(5), pages 627-639.
    3. Shih-Feng Huang & Meihui Guo, 2014. "Model risk of the implied GARCH-normal model," Quantitative Finance, Taylor & Francis Journals, vol. 14(12), pages 2215-2224, December.
    4. Jacobi, Frank, 2005. "ARCH-Prozesse und ihre Erweiterungen - Eine empirische Untersuchung für Finanzmarktzeitreihen -," Arbeitspapiere des Instituts für Statistik und Ökonometrie 31, Johannes Gutenberg-Universität Mainz, Institut für Statistik und Ökonometrie.
    5. Christensen, Kim & Podolski, Mark, 2005. "Asymptotic theory for range-based estimation of integrated variance of a continuous semi-martingale," Technical Reports 2005,18, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    6. Matei, Marius, 2011. "Non-Linear Volatility Modeling of Economic and Financial Time Series Using High Frequency Data," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 116-141, June.
    7. Shirley J. Huang & Qianqiu Liu & Jun Yu, 2007. "Realized Daily Variance of S&P 500 Cash Index: A Revaluation of Stylized Facts," Annals of Economics and Finance, Society for AEF, vol. 8(1), pages 33-56, May.

  55. Robert F. Engle & Alex Kane & Jaesun Noh, 1993. "Index-Option Pricing with Stochastic Volatility and the Value of Accurate Variance Forecasts," NBER Working Papers 4519, National Bureau of Economic Research, Inc.

    Cited by:

    1. Eric Jacquier & Robert Jarrow, 1996. "Model Error in Contingent Claim Models Dynamic Evaluation," CIRANO Working Papers 96s-12, CIRANO.
    2. Claessen, Holger & Mittnik, Stefan, 2002. "Forecasting stock market volatility and the informational efficiency of the DAX-index options market," CFS Working Paper Series 2002/04, Center for Financial Studies (CFS).
    3. Xekalaki, Evdokia & Degiannakis, Stavros, 2005. "Evaluating volatility forecasts in option pricing in the context of a simulated options market," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 611-629, April.
    4. Gregory Connor & Lisa R. Goldberg & Robert A. Korajczyk, 2010. "Portfolio Risk Analysis," Economics Books, Princeton University Press, edition 1, number 9224.
    5. Jose A. Lopez, 1995. "Evaluating the predictive accuracy of volatility models," Research Paper 9524, Federal Reserve Bank of New York.
    6. Jose A. Lopez & Christian Walter, 2000. "Evaluating covariance matrix forecasts in a value-at-risk framework," Working Paper Series 2000-21, Federal Reserve Bank of San Francisco.
    7. Ayla Ogus, 2002. "Pricing of S&P 100 Index Options Based On Garch Volatility Estimates," Working Papers 0201, Izmir University of Economics.
    8. David Bates & Roger Craine, 1998. "Valuing the Futures Market Clearinghouse's Default Exposure During the 1987 Crash," NBER Working Papers 6505, National Bureau of Economic Research, Inc.
    9. David S. Bates, 1995. "Testing Option Pricing Models," NBER Working Papers 5129, National Bureau of Economic Research, Inc.
    10. Çepni, Oğuzhan & Gupta, Rangan & Pienaar, Daniel & Pierdzioch, Christian, 2022. "Forecasting the realized variance of oil-price returns using machine learning: Is there a role for U.S. state-level uncertainty?," Energy Economics, Elsevier, vol. 114(C).
    11. Stavros Degiannakis & Alexandra Livada & Epaminondas Panas, 2008. "Rolling-sampled parameters of ARCH and Levy-stable models," Applied Economics, Taylor & Francis Journals, vol. 40(23), pages 3051-3067.
    12. Lubrano, M., 1999. "Smooth Transition GARCH Models: a Bayesian perspective," G.R.E.Q.A.M. 99a49, Universite Aix-Marseille III.
    13. Brian H. Boyer & Michael S. Gibson, 1997. "Evaluating forecasts of correlation using option pricing," International Finance Discussion Papers 600, Board of Governors of the Federal Reserve System (U.S.).
    14. Gonzalez-Rivera, Gloria & Lee, Tae-Hwy & Mishra, Santosh, 2004. "Forecasting volatility: A reality check based on option pricing, utility function, value-at-risk, and predictive likelihood," International Journal of Forecasting, Elsevier, vol. 20(4), pages 629-645.
    15. Jaesun Noh & Robert F. Engle & Alex Kane, 1993. "A Test of Efficiency for the S&P Index Option Market Using Variance Forecasts," NBER Working Papers 4520, National Bureau of Economic Research, Inc.
    16. Miguel A. Ferreira & Jose A. Lopez, 2004. "Evaluating interest rate covariance models within a value-at-risk framework," Working Paper Series 2004-03, Federal Reserve Bank of San Francisco.
    17. Bonato, Matteo & Cepni, Oguzhan & Gupta, Rangan & Pierdzioch, Christian, 2023. "Climate risks and realized volatility of major commodity currency exchange rates," Journal of Financial Markets, Elsevier, vol. 62(C).
    18. Catalin Starica & Stefano Herzel & Tomas Nord, 2005. "Why does the GARCH(1,1) model fail to provide sensible longer- horizon volatility forecasts?," Econometrics 0508003, University Library of Munich, Germany.
    19. Angelidis, Timotheos & Degiannakis, Stavros, 2008. "Volatility forecasting: intra-day vs. inter-day models," MPRA Paper 80434, University Library of Munich, Germany.
    20. Schmitt, Christian & Kaehler, Jürgen, 1996. "Delta-neutral volatility trading with intra-day prices: an application to options on the DAX," ZEW Discussion Papers 96-25, ZEW - Leibniz Centre for European Economic Research.
    21. Dajiang Guo, 2000. "Dynamic Volatility Trading Strategies in the Currency Option Market," Review of Derivatives Research, Springer, vol. 4(2), pages 133-154, May.

  56. Jaesun Noh & Robert F. Engle & Alex Kane, 1993. "A Test of Efficiency for the S&P Index Option Market Using Variance Forecasts," NBER Working Papers 4520, National Bureau of Economic Research, Inc.

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    1. Rafiqul Bhuyan, 2002. "Information, Alternative Markets, and Security Price Processes: A Survey of Literature," Finance 0211002, University Library of Munich, Germany.
    2. Brock Johnson & Jonathan Batten, 2003. "Forecasting Credit Spread Volatility: Evidence from the Japanese Eurobond Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 10(4), pages 335-357, December.
    3. Ahmad M. Talafha & Emmanuel Thompson, 2017. "On Valuing European Option: VAR-COVAR Approach," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 6(3), pages 1-1.
    4. Eduardo Rossi, 2010. "Univariate GARCH models: a survey (in Russian)," Quantile, Quantile, issue 8, pages 1-67, July.
    5. Stanislav Anatolyev & Nikolay Gospodinov, 2012. "Asymptotics of near unit roots (in Russian)," Quantile, Quantile, issue 10, pages 57-71, December.
    6. Stanislav Anatolyev, 2007. "The basics of bootstrapping (in Russian)," Quantile, Quantile, issue 3, pages 1-12, September.

  57. Robert F. Engle & Victor K. Ng, 1991. "Time-Varying Volatility and the Dynamic Behavior of the Term Structure," NBER Working Papers 3682, National Bureau of Economic Research, Inc.

    Cited by:

    1. Diether Beuermann & Antonios Antoniou & Alejandro Bernales, 2005. "The Dynamics of the Short-Term Interest Rate in the UK," Finance 0512029, University Library of Munich, Germany.
    2. Doina C. Chichernea & Michael F. Ferguson & Haimanot Kassa, 2015. "Idiosyncratic Risk, Investor Base, and Returns," Financial Management, Financial Management Association International, vol. 44(2), pages 267-293, June.
    3. Ahn, Dong-Hyun & Dittmar, Robert F. & Gallant, A. Ronald & Gao, Bin, 2003. "Purebred or hybrid?: Reproducing the volatility in term structure dynamics," Journal of Econometrics, Elsevier, vol. 116(1-2), pages 147-180.
    4. Charles M. Jones & Owen Lamont & Robin Lumsdaine, 1996. "Macroeconomic News and Bond Market Volatility," Home Pages _005, Princeton University, Department of Economics.
    5. Hautsch, Nikolaus & Ou, Yangguoyi, 2009. "Analyzing interest rate risk: Stochastic volatility in the term structure of government bond yields," CFS Working Paper Series 2009/03, Center for Financial Studies (CFS).
    6. Hibiki Ichiue, 2004. "Why Can the Yield Curve Predict Output Growth, Inflation, and Interest Rates? An Analysis with an Affine Term Structure Model," Bank of Japan Working Paper Series 04-E-11, Bank of Japan.
    7. Stephen R. Blough, 1994. "Yield curve forecasts of inflation: a cautionary tale," New England Economic Review, Federal Reserve Bank of Boston, issue May, pages 3-16.
    8. Tzavalis, Elias & Wickens, Michael R, 1997. "Explaining the Failures of the Term Spread Models of the Rational Expectations Hypothesis of the Term Structure," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(3), pages 364-380, August.
    9. David E. Allen & Ron Amram & Michael McAleer, 2011. "Volatility Spillovers from the Chinese Stock Market to Economic Neighbours," Documentos de Trabajo del ICAE 2011-38, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    10. Wahab, Mahmoud, 1997. "On risk, rationality and the predictive ability of European short-term adjusted yield spreads," Journal of International Money and Finance, Elsevier, vol. 16(5), pages 737-765, September.
    11. Dimitrios Koutmos & Konstantinos Bozos & Dionysia Dionysiou & Neophytos Lambertides, 2018. "The timing of new corporate debt issues and the risk-return tradeoff," Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 943-978, May.
    12. Fu, Fangjian, 2009. "Idiosyncratic risk and the cross-section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 91(1), pages 24-37, January.
    13. E. Scott Mayfield & Robert G. Murphy, 1993. "Explaining The Term Structure Of Interest Rates: A Panel Data Approach," Boston College Working Papers in Economics 230, Boston College Department of Economics.
    14. Dirk G Baur & Thomas Dimpfl, 2012. "State-dependent Momentum in International Stock Markets," Working Paper Series 169, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    15. Blaskowitz, Oliver J. & Herwartz, Helmut & de Cadenas Santiago, Gonzalo, 2005. "Modeling the FIBOR/EURIBOR Swap Term Structure: An Empirical Approach," Economics Working Papers 2005-04, Christian-Albrechts-University of Kiel, Department of Economics.
    16. Allen, David E. & McAleer, Michael & Powell, Robert J. & Singh, Abhay K., 2017. "Volatility Spillovers from Australia's major trading partners across the GFC," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 159-175.
    17. Jamal Bouoiyour & Refk Selmi, 2015. "Exchange volatility and export performance in Egypt: New insights from wavelet decomposition and optimal GARCH model," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 24(2), pages 201-227, March.
    18. Prasad, Mason & Bakry, Walid & Varua, Maria Estela, 2021. "Abnormal volatility in seasoned equity offerings during economic disruptions," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    19. Bley, Jorg & Saad, Mohsen, 2012. "Idiosyncratic risk and expected returns in frontier markets: Evidence from GCC," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 538-554.
    20. Andrea Roncoroni & Stefano Galluccio & Paolo Guiotto, 2010. "Shape factors and cross-sectional risk," Post-Print hal-00736733, HAL.
    21. Massimo Guidolin & Daniel L. Thornton, 2010. "Predictions of short-term rates and the expectations hypothesis," Working Papers 2010-013, Federal Reserve Bank of St. Louis.
    22. Christiansen, Charlotte & Lund, Jesper, 2002. "Revisiting the shape of the yield curve: the effect of interest rate volatility," Finance Working Papers 02-3, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    23. Jose Renato Haas Ornelas & Antonio Francisco de Almeida Silva Jr, 2014. "Testing the Liquidity Preference Hypothesis using Survey Forecasts," Working Papers Series 353, Central Bank of Brazil, Research Department.
    24. Daniel R. Smith & Christophe Parignon, 2004. "Modeling Yield-Factor Volatility," Econometric Society 2004 Australasian Meetings 307, Econometric Society.
    25. Chiang, Thomas C., 1997. "Time series dynamics of short-term interest rates: evidence from Eurocurrency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 7(3), pages 201-220, October.
    26. Koutmos, Gregory & Knif, Johan & Philippatos, George C., 2008. "Modeling common volatility characteristics and dynamic risk premia in European equity markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(3), pages 567-578, August.
    27. Quan-Hoang Vuong, 2002. "Empirical Evidence of Conditional Heteroskedasticity in Vietnam’s Stock Returns Time Series," Working Papers CEB 02-001.RS, ULB -- Universite Libre de Bruxelles.
    28. T. J. Brailsford & K. Maheswaran, 1998. "The Dynamics of the Australian Short†Term Interest Rate," Australian Journal of Management, Australian School of Business, vol. 23(2), pages 213-234, December.
    29. David E. Allen & Michael McAleer & R.J. Powell & A.K. Singh, 2013. "Volatility Spillovers from the US to Australia and China across the GFC," Tinbergen Institute Discussion Papers 13-009/III, Tinbergen Institute, revised 01 Feb 2013.
    30. A. Durre, 2006. "The Liquidity Premium in the Money Market: A Comparison of the German Mark Period and the Euro Area," Post-Print hal-00171141, HAL.
    31. Durré, Alain & Evjen, Snorre & Pilegaard, Rasmus, 2003. "Estimating risk premia in money market rates," Working Paper Series 221, European Central Bank.
    32. Cathy Yi-Hsuan Chen & Thomas C. Chiang, 2017. "Surprises, sentiments, and the expectations hypothesis of the term structure of interest rates," Review of Quantitative Finance and Accounting, Springer, vol. 49(1), pages 1-28, July.
    33. Hooker, Mark A., 1999. "The maturity structure of term premia with time-varying expected returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 39(3), pages 391-407.
    34. Simlai, Prodosh, 2014. "Persistence of ex-ante volatility and the cross-section of stock returns," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 253-261.
    35. Hautsch, Nikolaus & Yang, Fuyu, 2012. "Bayesian inference in a Stochastic Volatility Nelson–Siegel model," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3774-3792.
    36. Canova, Fabio & Marrinan, Jane, 1996. "Reconciling the term structure of interest rates with the consumption-based ICAP model," Journal of Economic Dynamics and Control, Elsevier, vol. 20(4), pages 709-750, April.
    37. Eric Girard & Mohammed Omran, 2009. "On the relationship between trading volume and stock price volatility in CASE," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 5(1), pages 110-134, February.
    38. Caporale, Barbara & Caporale, Tony, 2003. "Investigating the effects of monetary regime shifts: The case of the Federal Reserve and the shrinking risk premium," Economics Letters, Elsevier, vol. 80(1), pages 87-91, July.
    39. Galluccio, Stefano & Roncoroni, Andrea, 2006. "A new measure of cross-sectional risk and its empirical implications for portfolio risk management," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2387-2408, August.
    40. Nikolaus Hautsch & Yangguoyi Ou, 2008. "Yield Curve Factors, Term Structure Volatility, and Bond Risk Premia," SFB 649 Discussion Papers SFB649DP2008-053, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    41. Henry, O.T., 1998. "The Volatility of U.S. Term Structure Term Premia 1952-1991," Department of Economics - Working Papers Series 620, The University of Melbourne.
    42. Bley, Jorg & Saad, Mohsen, 2011. "The effect of financial liberalization on stock-return volatility in GCC markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(5), pages 662-685.
    43. Caldeira, João F. & Laurini, Márcio P. & Portugal, Marcelo S., 2010. "Bayesian Inference Applied to Dynamic Nelson-Siegel Model with Stochastic Volatility," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 30(1), October.
    44. Luciano Vereda & Hélio Lopes & Jessica Kubrusly & Adrian Pizzinga & Taofik Mohammed Ibrahim, 2014. "Yield Curve Forecasts and the Predictive Power of Macro Variables in a VAR Framework," Journal of Reviews on Global Economics, Lifescience Global, vol. 3, pages 377-393.
    45. Li-Hsueh Chen, 2001. "Inflation and real short-term interest rates - A Kalman filter analysis of the term structure," Applied Economics, Taylor & Francis Journals, vol. 33(7), pages 855-861.
    46. Ma, Yiqun, 2021. "Dynamic spillovers and dependencies between iron ore prices, industry bond yields, and steel prices," Resources Policy, Elsevier, vol. 74(C).

  58. Lin, W.L. & Engle, R.F. & Ito, T., 1991. "Do Bulls and Bears Move Across Borders? International Transmission of Stock Returns and Volatility as the World Turns," Working papers 9121, Wisconsin Madison - Social Systems.

    Cited by:

    1. Baekin Cha & Yan-leung Cheung, 1998. "The Impact of the U.S. and the Japanese Equity Markets on the Emerging Asia-Pacific Equity Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 5(3), pages 191-209, November.
    2. Geoffrey Booth, G. & Chowdhury, Mustafa & Martikainen, Teppo, 1996. "Common volatility in major stock index futures markets," European Journal of Operational Research, Elsevier, vol. 95(3), pages 623-630, December.
    3. Chan, K. C. & Karolyi, G. Andrew & Stulz, ReneM., 1992. "Global financial markets and the risk premium on U.S. equity," Journal of Financial Economics, Elsevier, vol. 32(2), pages 137-167, October.
    4. Koutmos, Gregory & Booth, G Geoffrey, 1995. "Asymmetric volatility transmission in international stock markets," Journal of International Money and Finance, Elsevier, vol. 14(6), pages 747-762, December.
    5. Goodhart, Charles A. E. & O'Hara, Maureen, 1997. "High frequency data in financial markets: Issues and applications," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 73-114, June.
    6. Erik Hupperets & Bert Menkveld, 2000. "Intraday Analysis of Market Integration: Dutch Blue Chips traded in Amsterdam and New York," Tinbergen Institute Discussion Papers 00-018/2, Tinbergen Institute.
    7. Becker, Kent G. & Finnerty, Joseph E. & Friedman, Joseph, 1995. "Economic news and equity market linkages between the U.S. and U.K," Journal of Banking & Finance, Elsevier, vol. 19(7), pages 1191-1210, October.
    8. Eric Zitzewitz, 2003. "Who Cares About Shareholders? Arbitrage-Proofing Mutual Funds," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 19(2), pages 245-280, October.
    9. Bollerslev, Tim & Engle, Robert F. & Nelson, Daniel B., 1986. "Arch models," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 49, pages 2959-3038, Elsevier.
    10. Craig, Alastair & Dravid, Ajay & Richardson, Matthew, 1995. "Market efficiency around the clock Some supporting evidence using foreign-based derivatives," Journal of Financial Economics, Elsevier, vol. 39(2-3), pages 161-180.

  59. Ray Chou & Robert F. Engle & Alex Kane, 1991. "Measuring Risk Aversion From Excess Returns on a Stock Index," NBER Working Papers 3643, National Bureau of Economic Research, Inc.

    Cited by:

    1. Samarjit Das & Nityananda Sarkar, 2010. "Is the relative risk aversion parameter constant over time? A multi-country study," Empirical Economics, Springer, vol. 38(3), pages 605-617, June.
    2. M. Fatih Guvenen, 2003. "A Parsimonious Macroeconomic Model for Asset Pricing: Habit Formation or Cross-sectional Heterogeneity?," RCER Working Papers 499, University of Rochester - Center for Economic Research (RCER).
    3. Bent Jesper Christensen & Christian M. Dahl & Emma M. Iglesias, 2008. "Semiparametric Inference in a GARCH-in-Mean Model," CREATES Research Papers 2008-46, Department of Economics and Business Economics, Aarhus University.
    4. Arif Oduncu, 2012. "Determinants of Precautionary Savings: Elasticity of Intertemporal Substitution vs. Risk Aversion," EcoMod2012 4380, EcoMod.
    5. Radosław Cholewiński, 2009. "Real-Time Market Abuse Detection with a Stochastic Parameter Model," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(3), pages 261-284, November.
    6. Kenneth D. West & Dongchul Cho, 1994. "The Predictive Ability of Several Models of Exchange Rate Volatility," NBER Technical Working Papers 0152, National Bureau of Economic Research, Inc.
    7. Leachman, Lori L. & Francis, Bill, 1996. "Equity market return volatility: Dynamics and transmission among the G-7 countries," Global Finance Journal, Elsevier, vol. 7(1), pages 27-52.
    8. Campbell, John & Cochrane, John H., 1999. "By Force of Habit: A Consumption-Based Explanation of Aggregate Stock Market Behavior," Scholarly Articles 3119444, Harvard University Department of Economics.
    9. Li, Junye, 2011. "Volatility components, leverage effects, and the return-volatility relations," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1530-1540, June.
    10. Christensen, Bent Jesper & Nielsen, Morten Ørregaard & Zhu, Jie, 2010. "Long memory in stock market volatility and the volatility-in-mean effect: The FIEGARCH-M Model," Journal of Empirical Finance, Elsevier, vol. 17(3), pages 460-470, June.
    11. Engle III, Robert F., 2003. "Risk and Volatility: Econometric Models and Financial Practice," Nobel Prize in Economics documents 2003-4, Nobel Prize Committee.
    12. Benoît Sévi & César Baena, 2013. "The explanatory power of signed jumps for the risk-return tradeoff," Post-Print hal-01500858, HAL.
    13. Auer Benjamin R., 2012. "Lassen sich CAPM, HCAPM und CCAPM durch konsumbasierte zeitvariable Parameterspezifikation rehabilitieren? / Can Time-varying Parameter Specification Based on Consumption Variables Rehabilitate CAPM, ," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(5), pages 518-544, October.
    14. Ricardo Cao & Alicia Heras & Angeles Saavedra, 2009. "The uncertainties about the relationships risk–return–volatility in the Spanish stock market," Computational Statistics, Springer, vol. 24(1), pages 113-126, February.
    15. Kane, Alex & Lehmann, Bruce N. & Trippi, Robert R., 2000. "Regularities in volatility and the price of risk following large stock market movements in the US and Japan," Journal of International Money and Finance, Elsevier, vol. 19(1), pages 1-32, February.
    16. Nam, Kiseok & Pyun, Chong Soo & Avard, Stephen L., 2001. "Asymmetric reverting behavior of short-horizon stock returns: An evidence of stock market overreaction," Journal of Banking & Finance, Elsevier, vol. 25(4), pages 807-824, April.
    17. Ramchand, Latha & Susmel, Raul, 1998. "Variances and covariances of international stock returns: the international capital asset pricing model revisited," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 8(1), pages 39-57, January.
    18. Tom A. FEARNLEY, 2002. "Tests of an International Capital Asset Pricing Model with Stocks and Government Bonds and Regime Switching Prices of Risk and Intercepts," FAME Research Paper Series rp97, International Center for Financial Asset Management and Engineering.
    19. Neil Shephard & Gabriele Fiorentini & Enrique Sentana, 2003. "Likelihood-based estimation of latent generalised ARCH structures," FMG Discussion Papers dp453, Financial Markets Group.
    20. Sentana, Enrique & Calzolari, Giorgio & Fiorentini, Gabriele, 2008. "Indirect estimation of large conditionally heteroskedastic factor models, with an application to the Dow 30 stocks," Journal of Econometrics, Elsevier, vol. 146(1), pages 10-25, September.
    21. Young-Hye Cho & Robert F. Engle, 1999. "Time-Varying Betas and Asymmetric Effect of News: Empirical Analysis of Blue Chip Stocks," NBER Working Papers 7330, National Bureau of Economic Research, Inc.
    22. Yueh-Neng Lin & Ken Hung, 2008. "Is Volatility Priced?," Annals of Economics and Finance, Society for AEF, vol. 9(1), pages 39-75, May.
    23. Bollerslev, Tim & Zhou, Hao, 2006. "Volatility puzzles: a simple framework for gauging return-volatility regressions," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 123-150.
    24. Ken B. Cyree & Mark D. Griffiths & Drew B. Winters, 2003. "On the pervasive effects of Federal Reserve settlement regulations," Review, Federal Reserve Bank of St. Louis, vol. 85(Mar), pages 27-46.
    25. Gordon, Stephen & St-Amour, Pascal, 1999. "A Preference Regime Model of Bull and Bear Markets," Cahiers de recherche 9906, Université Laval - Département d'économique.
    26. John Y. Campbell, 1996. "Consumption and the Stock Market: Interpreting International Experience," Harvard Institute of Economic Research Working Papers 1763, Harvard - Institute of Economic Research.
    27. Bali, Turan G. & Wu, Liuren, 2010. "The role of exchange rates in intertemporal risk-return relations," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1670-1686, December.
    28. Dias, Gustavo Fruet, 2017. "The time-varying GARCH-in-mean model," Economics Letters, Elsevier, vol. 157(C), pages 129-132.
    29. Bae, Kee-Hong, 1995. "Market segmentation and time variation in the price of risk: Evidence on the Korean stock market," Pacific-Basin Finance Journal, Elsevier, vol. 3(1), pages 1-29, May.
    30. Bali, Turan G. & Demirtas, K. Ozgur & Levy, Haim, 2008. "Nonlinear mean reversion in stock prices," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 767-782, May.
    31. Bhar, Ramaprasad & Hamori, Shigeyuki, 2007. "Co-movement in the price of risk of aggregate equity markets," Economic Systems, Elsevier, vol. 31(3), pages 256-271, September.
    32. Andrei SEMENOV, 2010. "High-Order Consumption Moments and Asset Pricing," EcoMod2004 330600127, EcoMod.
    33. Łukasz Kwiatkowski, 2011. "Bayesian Analysis of a Regime Switching In-Mean Effect for the Polish Stock Market," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 3(4), pages 187-219, December.
    34. Elamin H. Elbasha, 2005. "Risk aversion and uncertainty in cost‐effectiveness analysis: the expected‐utility, moment‐generating function approach," Health Economics, John Wiley & Sons, Ltd., vol. 14(5), pages 457-470, May.
    35. Tillmann, Peter, 2005. "Private sector involvement in the resolution of financial crises: How do markets react?," Journal of Development Economics, Elsevier, vol. 78(1), pages 114-132, October.
    36. Fatih Guvenen, 2009. "A Parsimonious Macroeconomic Model for Asset Pricing," NBER Working Papers 15243, National Bureau of Economic Research, Inc.
    37. Cabrales, Antonio & Charness, Gary & Corchon, Luis C., 2003. "An experiment on Nash implementation," Journal of Economic Behavior & Organization, Elsevier, vol. 51(2), pages 161-193, June.
    38. Bent Jesper Christensen & Morten Ørregaard Nielsen, 2007. "The Effect of Long Memory in Volatility on Stock Market Fluctuations," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 684-700, November.
    39. Turan Bali & Kamil Yilmaz, 2009. "The Intertemporal Relation between Expected Return and Risk on Currency," Koç University-TUSIAD Economic Research Forum Working Papers 0909, Koc University-TUSIAD Economic Research Forum, revised Nov 2009.
    40. Tom A. FEARNLEY, 2002. "Estimation of an International Capital Asset Pricing Model with Stocks and Government Bonds," FAME Research Paper Series rp95, International Center for Financial Asset Management and Engineering.
    41. Campbell, John Y., 2003. "Consumption-based asset pricing," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 13, pages 803-887, Elsevier.
    42. Łukasz Kwiatkowski, 2010. "Markov Switching In-Mean Effect. Bayesian Analysis in Stochastic Volatility Framework," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 2(1), pages 59-94, January.
    43. Bank for International Settlements, 2006. "The recent behaviour of financial market volatility," BIS Papers, Bank for International Settlements, number 29.
    44. Xing, Xuejing & Howe, John S., 2003. "The empirical relationship between risk and return: evidence from the UK stock market," International Review of Financial Analysis, Elsevier, vol. 12(3), pages 329-346.
    45. Lin Peng & Turan G. Bali, 2006. "Is there a risk-return trade-off? Evidence from high-frequency data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1169-1198.

  60. Robert F. Engle & Victor K. Ng, 1991. "Measuring and Testing the Impact of News on Volatility," NBER Working Papers 3681, National Bureau of Economic Research, Inc.

    Cited by:

    1. Berkelaar, Arjan & Kouwenberg, Roy, 2009. "From boom 'til bust: How loss aversion affects asset prices," Journal of Banking & Finance, Elsevier, vol. 33(6), pages 1005-1013, June.
    2. Sanjay Sehgal & Asheesh Pandey, 2012. "Strategic Allocation, Asset Pricing and Prior Return Patterns: Evidence from Indian Commodity Market," Vision, , vol. 16(4), pages 273-281, December.
    3. Bernd Hayo & Ali Kutan, 2004. "The Impact of News, Oil Prices, and Global Market Developments on Russian Financial Markets," Finance 0403002, University Library of Munich, Germany.
    4. Duan, Jin-Chuan, 1997. "Augmented GARCH (p,q) process and its diffusion limit," Journal of Econometrics, Elsevier, vol. 79(1), pages 97-127, July.
    5. Fuentes Vélez, Mariana & Pinilla Barrera, Alejandro, 2021. "Transmisión de volatilidad en el Mercado Integrado Latinoamericano (MILA): una evidencia del grado de integración. || Transmission of volatility in the Latin American Integrated Market (MILA): evidenc," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 31(1), pages 301-328, June.
    6. Oliver Linton & Yoon-Jae Whang & Yu-Min Yen, 2012. "A nonparametric test of the leverage hypothesis," CeMMAP working papers CWP24/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Abdelkader Derbali & Slaheddine Hallara, 2016. "Day of the week effect on the Tunisian stock market return and volatility," Post-Print hal-01696003, HAL.
    8. Diether Beuermann & Antonios Antoniou & Alejandro Bernales, 2005. "The Dynamics of the Short-Term Interest Rate in the UK," Finance 0512029, University Library of Munich, Germany.
    9. Yiguo Sun & Ximing Wu, 2018. "Leverage and Volatility Feedback Effects and Conditional Dependence Index: A Nonparametric Study," JRFM, MDPI, vol. 11(2), pages 1-20, June.
    10. Jui-Cheng Hung & Ren-Xi Ni & Matthew C. Chang, 2009. "The Information Contents of VIX Index and Range-based Volatility on Volatility Forecasting Performance of S&P 500," Economics Bulletin, AccessEcon, vol. 29(4), pages 2592-2604.
    11. Kuan, Chung-Ming & Yeh, Jin-Huei & Hsu, Yu-Chin, 2009. "Assessing value at risk with CARE, the Conditional Autoregressive Expectile models," Journal of Econometrics, Elsevier, vol. 150(2), pages 261-270, June.
    12. Sassan Alizadeh & Michael W. Brandt & Francis X. Diebold, 1999. "Range-Based Estimation of Stochastic Volatility Models or Exchange Rate Dynamics are More Interesting Than You Think," Center for Financial Institutions Working Papers 00-28, Wharton School Center for Financial Institutions, University of Pennsylvania.
    13. Mosab I. Tabash & Neenu Chalissery & T. Mohamed Nishad & Mujeeb Saif Mohsen Al-Absy, 2024. "Market Shocks and Stock Volatility: Evidence from Emerging and Developed Markets," IJFS, MDPI, vol. 12(1), pages 1-18, January.
    14. Fabio Fornari, 2005. "The rise and fall of US dollar interest rate volatility: evidence from swaptions," BIS Quarterly Review, Bank for International Settlements, September.
    15. WenShwo Fang & YiHao Lai & Stephen M. Miller, 2005. "Does Exchange Rate Risk Affect Exports Asymmetrically? Asian Evidence," Working papers 2005-09, University of Connecticut, Department of Economics.
    16. Hiroyuki Kawakatsu, 2022. "Local projection variance impulse response," Empirical Economics, Springer, vol. 62(3), pages 1219-1244, March.
    17. Martin Waltz & Abhay Kumar Singh & Ostap Okhrin, 2022. "Vulnerability-CoVaR: Investigating the Crypto-market," Papers 2203.10777, arXiv.org.
    18. Malliaropulos, Dimitrios, 1997. "A multivariate GARCH model of risk premia in foreign exchange markets," Economic Modelling, Elsevier, vol. 14(1), pages 61-79, January.
    19. Philippe Masset & Martin Wallmeier, 2010. "A High†Frequency Investigation of the Interaction between Volatility and DAX Returns," European Financial Management, European Financial Management Association, vol. 16(3), pages 327-344, June.
    20. Kumar, Pawan & Singh, Vipul Kumar & Rao, Sandeep, 2023. "Does the substitution effect lead to feedback effect linkage between ethanol, crude oil, and soft agricultural commodities?," Energy Economics, Elsevier, vol. 119(C).
    21. David Peel & Alan Speight, 1995. "Asymmetry in the variance of economic activity: evidence for long-run UK GDP," Applied Economics Letters, Taylor & Francis Journals, vol. 2(11), pages 415-418.
    22. Angelica Gianfreda, 2010. "Volatility and Volume Effects in European Electricity Spot Markets," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 39(1‐2), pages 47-63, February.
    23. Imane El Ouadghiri & Remzi Uctum, 2016. "Jumps in equilibrium prices and asymmetric news in foreign exchange markets," Post-Print hal-01386027, HAL.
    24. Steeley, James M., 2006. "Volatility transmission between stock and bond markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(1), pages 71-86, February.
    25. Riccardo LUCCHETTI & Giulio PALOMBA, 2006. "Forecasting US bond yields at weekly frequency," Working Papers 261, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
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    6. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521770415.
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    11. Franco Parisi, 1997. "Medición y Test del Impacto de Innovaciones en la Volatilidad de Índices Accionarios," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 34(101), pages 27-47.
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    37. Degiannakis, Stavros & Filis, George, 2016. "Forecasting oil price realized volatility: A new approach," MPRA Paper 69105, University Library of Munich, Germany.
    38. Angelidis, Timotheos & Degiannakis, Stavros, 2008. "Volatility forecasting: intra-day vs. inter-day models," MPRA Paper 80434, University Library of Munich, Germany.
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    4. Loewy, Michael B. & Papell, David H., 1996. "Are U.S. regional incomes converging? Some further evidence," Journal of Monetary Economics, Elsevier, vol. 38(3), pages 587-598, December.
    5. Gerald A. Carlino & Leonard O. Mills, 1993. "Testing neoclassical convergence in regional incomes and earnings," Working Papers 93-22, Federal Reserve Bank of Philadelphia.
    6. Ozgen Sayginsoy, 2004. "Powerful and Serial Correlation Robust Tests of the Economic Convergence Hypothesis," Discussion Papers 04-07, University at Albany, SUNY, Department of Economics.
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    10. Peng Zhang & Mann Xu, 2011. "The View from the County: China's Regional Inequalities of Socio-Economic Development," Annals of Economics and Finance, Society for AEF, vol. 12(1), pages 183-198, May.
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    6. Kurdoglu, Berkay & Yucel, Eray, 2022. "A Cointegration-based cartel screen for detecting collusion," MPRA Paper 113888, University Library of Munich, Germany.
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    2. Bekiros, Stelios & Marcellino, Massimiliano, 2013. "The multiscale causal dynamics of foreign exchange markets," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 282-305.
    3. Madhusudan Karmakar, 2007. "Asymmetric Volatility and Risk-return Relationship in the Indian Stock Market," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 8(1), pages 99-116, January.
    4. Fuentes Vélez, Mariana & Pinilla Barrera, Alejandro, 2021. "Transmisión de volatilidad en el Mercado Integrado Latinoamericano (MILA): una evidencia del grado de integración. || Transmission of volatility in the Latin American Integrated Market (MILA): evidenc," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 31(1), pages 301-328, June.
    5. da Gama Silva, Paulo Vitor Jordão & Klotzle, Marcelo Cabus & Pinto, Antonio Carlos Figueiredo & Gomes, Leonardo Lima, 2019. "Herding behavior and contagion in the cryptocurrency market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 41-50.
    6. Manish Kumar, 2011. "Return and volatility spillovers: evidence from Indian exchange rates," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 3(4), pages 371-387.
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    12. Kentaro Iwatsubo & Yoshihiro Kitamura, 2008. "Intraday Evidence of the Informational Efficiency of the Yen/Dollar Exchange Rate," Discussion Papers 0801, Graduate School of Economics, Kobe University.
    13. Daniel Stefan ARMEANU & Adrian ENCIU & Sorin-Iulian CIOACA, 2017. "How Important is the Contagion Effect for the Romanian Capital Market?," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 265-282, June.
    14. Viceira, Luis & Chacko, George, 2005. "Dynamic Consumption and Portfolio Choice with Stochastic Volatility in Incomplete Markets," CEPR Discussion Papers 4913, C.E.P.R. Discussion Papers.
    15. Geert Bekaert & Michael Ehrmann & Marcel Fratzscher & Arnaud Mehl, 2014. "The Global Crisis and Equity Market Contagion," Journal of Finance, American Finance Association, vol. 69(6), pages 2597-2649, December.
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    1. Perry Burnett, 2012. "Urban Industrial Composition and the Spatial Expansion of Cities," Land Economics, University of Wisconsin Press, vol. 88(4), pages 764-781.

  73. K. Bradbury & R. Engle et al., 1975. "Simultaneous Estimation of the Supply and Demand for Household Location in a Multizoned Metropolitan Area," Working papers 160, Massachusetts Institute of Technology (MIT), Department of Economics.

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    1. Peter Hans Matthews, 2004. "Paradise Lost and Found? The Econometric Contributions of Clive W.J. Granger and Robert F. Engle," Middlebury College Working Paper Series 0416, Middlebury College, Department of Economics.

  74. R. F. Engle, 1974. "Testing Price Equations for Stability Across Frequencies," Working papers 144, Massachusetts Institute of Technology (MIT), Department of Economics.

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    1. Robert F. Engle, 1980. "Hypothesis Testing in Spectral Regression; the Lagrange Multiplier Test as a Regression Diagnostic," NBER Chapters, in: Evaluation of Econometric Models, pages 309-321, National Bureau of Economic Research, Inc.

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    1. Luís Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2018. "Estimating the Taylor Rule in the Time-Frequency Domain," NIPE Working Papers 04/2018, NIPE - Universidade do Minho.
    2. Luís Aguiar-Conraria & Maria Joana Soares & Rita Sousa, 2017. "California´s Carbon Market and Energy Prices: A Wavelet Analysis," NIPE Working Papers 13/2017, NIPE - Universidade do Minho.
    3. Le, Thanh Ha, 2022. "Connectedness between nonrenewable and renewable energy consumption, economic growth and CO2 emission in Vietnam: New evidence from a wavelet analysis," Renewable Energy, Elsevier, vol. 195(C), pages 442-454.
    4. Aguiar-Conraria, Luís & Martins, Manuel M.F. & Soares, Maria Joana, 2020. "Okun’s Law across time and frequencies," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
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    1. Santos Monteiro, Paulo, 2008. "Testing Full Consumption Insurance in the Frequency Domain," The Warwick Economics Research Paper Series (TWERPS) 874, University of Warwick, Department of Economics.
    2. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339, Elsevier.
    3. Peter C.B. Phillips & In Choi, 1989. "Testing for a Unit Root by Generalized Least Squares Methods in the Time and Frequency Domains," Cowles Foundation Discussion Papers CFP 899, Cowles Foundation for Research in Economics, Yale University.
    4. Monteiro, Paulo Santos, 2008. "Testing Full Consumption Insurance in the Frequency Domain," Economic Research Papers 269910, University of Warwick - Department of Economics.
    5. Various, 1974. "Staff Reports on Research Under Way," NBER Chapters, in: Issues for Research: Energy, the Environment, and the Economy, Inflation Accounting, pages 15-116, National Bureau of Economic Research, Inc.
    6. Robert F. Engle, 1980. "Hypothesis Testing in Spectral Regression; the Lagrange Multiplier Test as a Regression Diagnostic," NBER Chapters, in: Evaluation of Econometric Models, pages 309-321, National Bureau of Economic Research, Inc.

  77. R. F. Engle, 1973. "Issues in the Specification of an Econometric Model of Metropolitan Growth," Working papers 120, Massachusetts Institute of Technology (MIT), Department of Economics.

    Cited by:

    1. Charles B. Garrison & Hui S. Chang, 1979. "The Effect of Monetary and Fiscal Policies on Regional Business Cycles," International Regional Science Review, , vol. 4(2), pages 167-180, December.

  78. R. Engle & D. Foley, 1972. "A Supply Function Model of Aggregate Investment," Working papers 89, Massachusetts Institute of Technology (MIT), Department of Economics.

    Cited by:

    1. Various, 1973. "Staff Reports on Research Underway," NBER Chapters, in: The New Realities of the Business Cycle, pages 37-125, National Bureau of Economic Research, Inc.

  79. R. F. Engle, 1972. "Band Spectrum Regressions," Working papers 96, Massachusetts Institute of Technology (MIT), Department of Economics.

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    2. Fatum, Rasmus & Yamamoto, Yohei & Zhu, Guozhong, 2017. "Is the Renminbi a safe haven?," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 189-202.
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    4. Bianchi, Daniele & Tamoni, Andrea, 2016. "The dynamics of expected returns: evidence from multi-scale time series modelling," LSE Research Online Documents on Economics 118992, London School of Economics and Political Science, LSE Library.
    5. Wei Yanfeng, 2013. "The Dynamic Relationships between Oil Prices and the Japanese Economy: A Frequency Domain Analysis," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 57-67, May.
    6. Marek Chudý & Erhard Reschenhofer, 2019. "Macroeconomic Forecasting with Factor-Augmented Adjusted Band Regression," Econometrics, MDPI, vol. 7(4), pages 1-14, December.
    7. Baxter, M. & Stockman, A.C., 1988. "Business Cycles And The Exchange Rate System: Some International Evidence," RCER Working Papers 140, University of Rochester - Center for Economic Research (RCER).
    8. D.M. Nachane & Amlendu Kumar Dubey, 2008. "The vanishing role of money in the macroeconomy: An Empirical investigation based on spectral and wavelet analysis," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2008-022, Indira Gandhi Institute of Development Research, Mumbai, India.
    9. den Haan, Wouter J. & Sumner, Steven W., 2004. "The comovement between real activity and prices in the G7," European Economic Review, Elsevier, vol. 48(6), pages 1333-1347, December.
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    13. Feng Zhu, 2016. "Understanding the changing equilibrium real interest rates in Asia-Pacific," BIS Working Papers 567, Bank for International Settlements.
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    Cited by:

    1. J. Hidalgo & M. Schafgans, 2020. "Inference without smoothing for large panels with cross-sectional and temporal dependence," Papers 2006.14409, arXiv.org.
    2. Hidalgo, Javier & Schafgans, Marcia, 2021. "Inference without smoothing for large panels with cross-sectional and temporal dependence," Journal of Econometrics, Elsevier, vol. 223(1), pages 125-160.

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    1. Ambrocio, Gene & Hasan, Iftekhar & Li, Xiang, 2024. "Global political ties and the global financial cycle," Bank of Finland Research Discussion Papers 1/2024, Bank of Finland.
    2. Kumar, Pawan & Singh, Vipul Kumar & Rao, Sandeep, 2023. "Does the substitution effect lead to feedback effect linkage between ethanol, crude oil, and soft agricultural commodities?," Energy Economics, Elsevier, vol. 119(C).
    3. Xu, Danyang & Hu, Yang & Corbet, Shaen & Goodell, John W., 2023. "Volatility connectedness between global COVOL and major international volatility indices," Finance Research Letters, Elsevier, vol. 56(C).
    4. Zhang, Jiaming & Guo, Songlin & Dou, Bin & Xie, Bingyuan, 2023. "Evidence of the internationalization of China's crude oil futures: Asymmetric linkages to global financial risks," Energy Economics, Elsevier, vol. 127(PA).

  2. De Nard, Gianluca & Engle, Robert F. & Ledoit, Olivier & Wolf, Michael, 2022. "Large dynamic covariance matrices: Enhancements based on intraday data," Journal of Banking & Finance, Elsevier, vol. 138(C).
    See citations under working paper version above.
  3. Robert F Engle & Martin Klint Hansen & Ahmet K Karagozoglu & Asger Lunde, 2021. "News and Idiosyncratic Volatility: The Public Information Processing Hypothesis [A Theory of Intraday Patterns: Volume and Price Variability]," Journal of Financial Econometrics, Oxford University Press, vol. 19(1), pages 1-38.

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    1. Gu, Leilei & Li, Xiaoyu & Peng, Yuchao & Zhou, Junnan, 2022. "Voluntary CEO turnover, online information, and idiosyncratic volatility," Finance Research Letters, Elsevier, vol. 49(C).
    2. Xiaohong Shen & Gaoshan Wang & Yue Wang & Alfred Peris, 2021. "The Influence of Research Reports on Stock Returns: The Mediating Effect of Machine-Learning-Based Investor Sentiment," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-14, December.
    3. Lee, Kangsan & Jeong, Daeyoung, 2023. "Too much is too bad: The effect of media coverage on the price volatility of cryptocurrencies," Journal of International Money and Finance, Elsevier, vol. 133(C).
    4. Jeon, Yoontae & McCurdy, Thomas H. & Zhao, Xiaofei, 2022. "News as sources of jumps in stock returns: Evidence from 21 million news articles for 9000 companies," Journal of Financial Economics, Elsevier, vol. 145(2), pages 1-17.

  4. Cavit Pakel & Neil Shephard & Kevin Sheppard & Robert F. Engle, 2021. "Fitting Vast Dimensional Time-Varying Covariance Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(3), pages 652-668, July.
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  5. Nguyen, Giang & Engle, Robert & Fleming, Michael & Ghysels, Eric, 2020. "Liquidity and volatility in the U.S. Treasury market," Journal of Econometrics, Elsevier, vol. 217(2), pages 207-229.
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  6. Robert F Engle & Stefano Giglio & Bryan Kelly & Heebum Lee & Johannes Stroebel, 2020. "Hedging Climate Change News," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1184-1216.
    See citations under working paper version above.
  7. Robert Engle & Marina Brogi & Nicola Cucari & Valentina Lagasio, 2019. "Environmental, social, governance: Implications for businesses and effects for stakeholders," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(6), pages 1627-1628, November.

    Cited by:

    1. Robert Engle & Marina Brogi & Nicola Cucari & Valentina Lagasio, 2019. "Environmental, social, governance: Implications for businesses and effects for stakeholders," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(6), pages 1627-1628, November.
    2. Irene Bengo & Leonardo Boni & Alessandro Sancino, 2022. "EU financial regulations and social impact measurement practices: A comprehensive framework on finance for sustainable development," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(4), pages 809-819, July.
    3. Gallucci, Carmen & Santulli, Rosalia & Lagasio, Valentina, 2022. "The conceptualization of environmental, social and governance risks in portfolio studies A systematic literature review," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    4. Valentina Lagasio & Nicola Cucari & Carl Åberg, 2021. "How corporate social responsibility initiatives affect the choice of a bank: Empirical evidence of Italian context," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(4), pages 1348-1359, July.
    5. Pengyu Chen & Abd Alwahed Dagestani, 2023. "Greenwashing behavior and firm value – From the perspective of board characteristics," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(5), pages 2330-2343, September.
    6. Rosalia Castellano & Gennaro Punzo & Giuseppe Scandurra & Antonio Thomas, 2022. "Exploring antecedents of innovations for small‐ and medium‐sized enterprises' environmental sustainability: An interpretative framework," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1730-1748, May.
    7. Michelangelo Bruno & Valentina Lagasio, 2021. "An Overview of the European Policies on ESG in the Banking Sector," Sustainability, MDPI, vol. 13(22), pages 1-10, November.

  8. Robert F. Engle & Olivier Ledoit & Michael Wolf, 2019. "Large Dynamic Covariance Matrices," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 363-375, April.
    See citations under working paper version above.
  9. Robert F. Engle & Tianyue Ruan, 2019. "Measuring the probability of a financial crisis," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(37), pages 18341-18346, September.

    Cited by:

    1. Vasile Brătian & Ana-Maria Acu & Diana Marieta Mihaiu & Radu-Alexandru Șerban, 2022. "Geometric Brownian Motion (GBM) of Stock Indexes and Financial Market Uncertainty in the Context of Non-Crisis and Financial Crisis Scenarios," Mathematics, MDPI, vol. 10(3), pages 1-23, January.
    2. Wei-Zhen Li & Jin-Rui Zhai & Zhi-Qiang Jiang & Gang-Jin Wang & Wei-Xing Zhou, 2020. "Predicting tail events in a RIA-EVT-Copula framework," Papers 2004.03190, arXiv.org, revised Apr 2020.
    3. Huck, Nicolas & Mavoori, Hareesh & Mesly, Olivier, 2020. "The rationality of irrationality in times of financial crises," Economic Modelling, Elsevier, vol. 89(C), pages 337-350.
    4. Olivier Mesly & Hareesh Mavoori & Nicolas Huck, 2023. "The Role of Financial Spinning, Learning, and Predation in Market Failure," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(1), pages 517-543, March.
    5. Ghufran Ahmad & Muhammad Suhail Rizwan & Dawood Ashraf, 2021. "Systemic risk and macroeconomic forecasting: A globally applicable copula‐based approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1420-1443, December.
    6. Kakuho Furukawa & Hibiki Ichiue & Yugo Kimura & Noriyuki Shiraki, "undated". "Too-big-to-fail Reforms and Systemic Risk," Bank of Japan Working Paper Series 21-E-1, Bank of Japan.

  10. Robert F. Engle & Emil N. Siriwardane, 2018. "Structural GARCH: The Volatility-Leverage Connection," The Review of Financial Studies, Society for Financial Studies, vol. 31(2), pages 449-492.
    See citations under working paper version above.
  11. Robert Engle, 2018. "Systemic Risk 10 Years Later," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 125-152, November.

    Cited by:

    1. Cowan, Arnold R. & Salotti, Valentina & Schenck, Natalya A., 2022. "The long-term impact of bank mergers on stock performance and default risk: The aftermath of the 2008 financial crisis✰," Finance Research Letters, Elsevier, vol. 48(C).
    2. Stolbov, Mikhail & Shchepeleva, Maria, 2020. "Systemic risk, economic policy uncertainty and firm bankruptcies: Evidence from multivariate causal inference," Research in International Business and Finance, Elsevier, vol. 52(C).
    3. Raisul Islam & Vladimir Volkov, 2022. "Contagion or interdependence? Comparing spillover indices," Empirical Economics, Springer, vol. 63(3), pages 1403-1455, September.
    4. Goldman, Elena, 2023. "Uncertainty in systemic risks rankings: Bayesian and frequentist analysis," Finance Research Letters, Elsevier, vol. 56(C).
    5. Caporin, Massimiliano & Costola, Michele & Garibal, Jean-Charles & Maillet, Bertrand, 2022. "Systemic risk and severe economic downturns: A targeted and sparse analysis," Journal of Banking & Finance, Elsevier, vol. 134(C).
    6. Daniel Dimitrov & Sweder van Wijnbergen, 2022. "Quantifying Systemic Risk in the Presence of Unlisted Banks: Application to the Dutch Financial Sector," Tinbergen Institute Discussion Papers 22-034/VI, Tinbergen Institute.
    7. van Wijnbergen, Sweder & Dimitrov, Daniel, 2023. "Quantifying Systemic Risk in the Presence of Unlisted Banks: Application to the European Banking Sector," CEPR Discussion Papers 17992, C.E.P.R. Discussion Papers.
    8. Islam, Raisul & Volkov, Vladimir, 2020. "Contagion or interdependence? Comparing signed and unsigned spillovers," Working Papers 2020-05, University of Tasmania, Tasmanian School of Business and Economics.
    9. Das, Sanjiv R. & Kalimipalli, Madhu & Nayak, Subhankar, 2022. "Banking networks, systemic risk, and the credit cycle in emerging markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    10. Sweder van Wijnbergen & Daniël Dimitrov, 2023. "Macroprudential Regulation: A Risk Management Approach," Tinbergen Institute Discussion Papers 23-002/IV, Tinbergen Institute.
    11. Glück, Thorsten & Adams, Zeno, 2023. "Systemic Risk of Commodity Traders," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277600, Verein für Socialpolitik / German Economic Association.
    12. Naeem, Muhammad Abubakr & Balli, Faruk & Shahzad, Syed Jawad Hussain & de Bruin, Anne, 2020. "Energy commodity uncertainties and the systematic risk of US industries," Energy Economics, Elsevier, vol. 85(C).
    13. Halili, Alba & Fenech, Jean-Pierre & Contessi, Silvio, 2021. "Credit Derivatives and Bank Systemic Risk: Risk Enhancing or Reducing?," Finance Research Letters, Elsevier, vol. 42(C).
    14. Robert Jarrow & Philip Protter & Alejandra Quintos, 2021. "Computing the Probability of a Financial Market Failure: A New Measure of Systemic Risk," Papers 2110.10936, arXiv.org, revised Dec 2022.
    15. Jin Li, 2023. "Analysis of Evolving Hazard Overflows and Construction of an Alert System in the Chinese Finance Industry Using Statistical Learning Methods," Mathematics, MDPI, vol. 11(15), pages 1-26, July.
    16. Hossain, Md. Jamal & Akter, Sadia & Ismail, Mohd Tahir, 2021. "Performance Analysis of GARCH Family Models in Three Time-frames," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 55(2), pages 15-28.
    17. Anna Maria Fiori & Francesco Porro, 2023. "A compositional analysis of systemic risk in European financial institutions," Annals of Finance, Springer, vol. 19(3), pages 325-354, September.
    18. Peter Karlström, 2023. "Macroprudential Policy, Credit Booms, and Banks' Systemic Risk," CEMLA Working Paper Series 03/2023, CEMLA.

  12. Orley Ashenfelter & Robert F. Engle & Daniel L. McFadden & Klaus Schmidt‐Hebbel, 2018. "Globalization: Contents And Discontents," Contemporary Economic Policy, Western Economic Association International, vol. 36(1), pages 29-43, January.

    Cited by:

    1. Bertrand Candelon & Alina Carare & Jean-Baptiste Hasse & Jing Lu, 2020. "The post-crises output growth effects in a globalized economy," International Economics, CEPII research center, issue 161, pages 139-158.

  13. Christian Brownlees & Robert F. Engle, 2017. "SRISK: A Conditional Capital Shortfall Measure of Systemic Risk," The Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 48-79.
    See citations under working paper version above.
  14. Turan G. Bali & Robert F. Engle & Yi Tang, 2017. "Dynamic Conditional Beta Is Alive and Well in the Cross Section of Daily Stock Returns," Management Science, INFORMS, vol. 63(11), pages 3760-3779, November.
    See citations under working paper version above.
  15. Engle, Robert & Roussellet, Guillaume & Siriwardane, Emil, 2017. "Scenario generation for long run interest rate risk assessment," Journal of Econometrics, Elsevier, vol. 201(2), pages 333-347.

    Cited by:

    1. Jens H. E. Christensen & Jose A. Lopez & Paul L. Mussche, 2022. "Extrapolating Long-Maturity Bond Yields for Financial Risk Measurement," Management Science, INFORMS, vol. 68(11), pages 8286-8300, November.
    2. Castro-Iragorri, C & Ramírez, J, 2021. "Forecasting Dynamic Term Structure Models with Autoencoders," Documentos de Trabajo 19431, Universidad del Rosario.
    3. Bruno Feunou & Jean-Sébastien Fontaine & Anh Le & Christian Lundblad, 2022. "Tractable Term Structure Models," Management Science, INFORMS, vol. 68(11), pages 8411-8429, November.
    4. Carlos Castro-Iragorri & Juan Felipe Peña & Cristhian Rodríguez, 2021. "A Segmented and Observable Yield Curve for Colombia," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 10(2), pages 179-200.
    5. Scott Joslin & Anh Le, 2021. "Interest Rate Volatility and No-Arbitrage Affine Term Structure Models," Management Science, INFORMS, vol. 67(12), pages 7391-7416, December.

  16. Fabrizio Cipollini & Robert F. Engle & Giampiero M. Gallo, 2017. "Copula–Based vMEM Specifications versus Alternatives: The Case of Trading Activity," Econometrics, MDPI, vol. 5(2), pages 1-24, April.
    See citations under working paper version above.
  17. Robert F. Engle, 2016. "Dynamic Conditional Beta," Journal of Financial Econometrics, Oxford University Press, vol. 14(4), pages 643-667.

    Cited by:

    1. Roman Mestre, 2021. "A wavelet approach of investing behaviors and their effects on risk exposures," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-37, December.
    2. Li, Chenxing & Maheu, John M, 2020. "A Multivariate GARCH-Jump Mixture Model," MPRA Paper 104770, University Library of Munich, Germany.
    3. Thomas Conlon & John Cotter & Iason Kynigakis, 2021. "Machine Learning and Factor-Based Portfolio Optimization," Papers 2107.13866, arXiv.org.
    4. Davidson, Sharada Nia & Moccero, Diego Nicolas, 2024. "The nonlinear effects of banks’ vulnerability to capital depletion in euro area countries," Working Paper Series 2912, European Central Bank.
    5. Morana, Claudio, 2019. "Regularized semiparametric estimation of high dimensional dynamic conditional covariance matrices," Econometrics and Statistics, Elsevier, vol. 12(C), pages 42-65.
    6. Correa, Ricardo & Goldberg, Linda S., 2022. "Bank complexity, governance, and risk," Journal of Banking & Finance, Elsevier, vol. 134(C).
    7. Matteo Foglia & Eliana Angelini, 2019. "The Time-Spatial Dimension of Eurozone Banking Systemic Risk," Risks, MDPI, vol. 7(3), pages 1-25, July.
    8. Manuel Monge & Luis A. Gil-Alana, 2020. "The Lithium Industry and Analysis of the Beta Term Structure of Oil Companies," Risks, MDPI, vol. 8(4), pages 1-17, December.
    9. Gianluca De Nard & Olivier Ledoit & Michael Wolf, 2018. "Factor models for portfolio selection in large dimensions: the good, the better and the ugly," ECON - Working Papers 290, Department of Economics - University of Zurich, revised Dec 2018.
    10. John L. Glascock & Ran Lu-Andrews, 2018. "The Asymmetric Conditional Beta-Return Relations of REITs," The Journal of Real Estate Finance and Economics, Springer, vol. 57(2), pages 231-245, August.
    11. François-Éric Racicot & Raymond Théoret, 2022. "Tracking market and non-traditional sources of risks in procyclical and countercyclical hedge fund strategies under extreme scenarios: a nonlinear VAR approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-56, December.
    12. Boubacar Maïnassara, Y. & Kadmiri, O. & Saussereau, B., 2022. "Estimation of multivariate asymmetric power GARCH models," Journal of Multivariate Analysis, Elsevier, vol. 192(C).
    13. Kwangmin Jung & Donggyu Kim & Seunghyeon Yu, 2022. "Next generation models for portfolio risk management: An approach using financial big data," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(3), pages 765-787, September.
    14. Engle, Robert F. & Emambakhsh, Tina & Manganelli, Simone & Parisi, Laura & Pizzeghello, Riccardo, 2023. "Estimating systemic risk for non-listed euro-area banks," Working Paper Series 2856, European Central Bank.
    15. Claudio Morana, 2016. "Macroeconomic and Financial Effects of Oil Price Shocks: Evidence for the Euro Area," Working Papers 2016.23, Fondazione Eni Enrico Mattei.
    16. Jean-Claude Hessing & Rutger-Jan Lange & Daniel Ralph, 2022. "This article establishes the Poisson optional stopping times (POST) method by Lange et al. (2020) as a near-universal method for solving liquidity-constrained American options, or, equivalently, penal," Tinbergen Institute Discussion Papers 22-007/IV, Tinbergen Institute.
    17. Altavilla, Carlo & Bochmann, Paul & De Ryck, Jeroen & Dumitru, Ana-Maria & Grodzicki, Maciej & Kick, Heinrich & Fernandes, Cecilia Melo & Mosthaf, Jonas & O’Donnell, Charles & Palligkinis, Spyros, 2021. "Measuring the cost of equity of euro area banks," Occasional Paper Series 254, European Central Bank.
    18. Geraci, Marco Valerio & Gnabo, Jean-Yves, 2018. "Measuring Interconnectedness between Financial Institutions with Bayesian Time-Varying Vector Autoregressions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(3), pages 1371-1390, June.
    19. Sebastien Valeyre & Sofiane Aboura & Denis Grebenkov, 2019. "The Reactive Beta Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 42(1), pages 71-113, March.
    20. Guglielmo Maria Caporale & Luis A. Gil-Alana & Miguel Martin-Valmayor, 2020. "Persistence in the Realized Betas: Some Evidence for the Spanish Stock Market," CESifo Working Paper Series 8171, CESifo.
    21. Darolles, Serge & Francq, Christian & Laurent, Sébastien, 2018. "Asymptotics of Cholesky GARCH models and time-varying conditional betas," Journal of Econometrics, Elsevier, vol. 204(2), pages 223-247.
    22. Ruodu Wang & Ricardas Zitikis, 2018. "Weak comonotonicity," Papers 1812.04827, arXiv.org, revised Sep 2019.
    23. Wang, Ruodu & Zitikis, Ričardas, 2020. "Weak comonotonicity," European Journal of Operational Research, Elsevier, vol. 282(1), pages 386-397.
    24. Dimitrios Koutmos & Timothy King & Constantin Zopounidis, 2021. "Hedging uncertainty with cryptocurrencies: Is bitcoin your best bet?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 44(4), pages 815-837, December.
    25. Yfanti, Stavroula & Karanasos, Menelaos & Zopounidis, Constantin & Christopoulos, Apostolos, 2023. "Corporate credit risk counter-cyclical interdependence: A systematic analysis of cross-border and cross-sector correlation dynamics," European Journal of Operational Research, Elsevier, vol. 304(2), pages 813-831.
    26. Luis Fernández Lafuerza & Javier Mencía, 2021. "Estimating the cost of equity for financial institutions," Financial Stability Review, Banco de España, issue MAY.
    27. Luis Fernández Lafuerza & Javier Mencía, 2021. "Estimating the cost of equity for financial institutions," Revista de Estabilidad Financiera, Banco de España, issue MAY.
    28. Jondeau, Eric & Khalilzadeh, Amir, 2022. "Predicting the stressed expected loss of large U.S. banks," Journal of Banking & Finance, Elsevier, vol. 134(C).
    29. Yoonsik Hong & Yanghoon Kim & Jeonghun Kim & Yongmin Choi, 2022. "Index Tracking via Learning to Predict Market Sensitivities," Papers 2209.00780, arXiv.org, revised Dec 2022.
    30. Manuel Ammann & Sebastian Fischer & Florian Weigert, 2018. "Risk Factor Exposure Variation and Mutual Fund Performance," Working Papers on Finance 1817, University of St. Gallen, School of Finance, revised Nov 2018.
    31. Carmelo Giaccotto & Erasmo Giambona & Yanhui Zhao, 2021. "Short-Term and Long-Term Discount Rates For Real Estate Investment Trusts," The Journal of Real Estate Finance and Economics, Springer, vol. 63(3), pages 493-524, October.
    32. Horváth, Lajos & Li, Bo & Li, Hemei & Liu, Zhenya, 2020. "Time-varying beta in functional factor models: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    33. Sensoy, Ahmet, 2017. "Firm size, ownership structure, and systematic liquidity risk: The case of an emerging market," Journal of Financial Stability, Elsevier, vol. 31(C), pages 62-80.
    34. Ammann, Manuel & Fischer, Sebastian & Weigert, Florian, 2020. "Factor exposure variation and mutual fund performance," CFR Working Papers 20-06, University of Cologne, Centre for Financial Research (CFR).
    35. Dunz, Nepomuk & Naqvi, Asjad & Monasterolo, Irene, 2021. "Climate sentiments, transition risk, and financial stability in a stock-flow consistent model," Journal of Financial Stability, Elsevier, vol. 54(C).
    36. Sun, Yang & Zhang, Xuan & Zhang, Zhekai, 2022. "The reduced-rank beta in linear stochastic discount factor models," International Review of Financial Analysis, Elsevier, vol. 84(C).
    37. Jonathan Ross, 2023. "Does prior stock return correlation predict future stock return correlation?," SN Business & Economics, Springer, vol. 3(9), pages 1-15, September.
    38. Insana, Alessandra, 2022. "Does systematic risk change when markets close? An analysis using stocks’ beta," Economic Modelling, Elsevier, vol. 109(C).
    39. Matteo Foglia & Eliana Angelini, 2021. "The triple (T3) dimension of systemic risk: Identifying systemically important banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 7-26, January.
    40. Cynthia M. Gong & Di Luo & Huainan Zhao, 2021. "Liquidity risk and the beta premium," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 44(4), pages 789-814, December.
    41. Gribisch, Bastian & Hartkopf, Jan Patrick & Liesenfeld, Roman, 2020. "Factor state–space models for high-dimensional realized covariance matrices of asset returns," Journal of Empirical Finance, Elsevier, vol. 55(C), pages 1-20.
    42. Kwangmin Jung & Donggyu Kim & Seunghyeon Yu, 2021. "Next Generation Models for Portfolio Risk Management: An Approach Using Financial Big Data," Papers 2102.12783, arXiv.org, revised Feb 2022.
    43. Neil Shephard, 2020. "An estimator for predictive regression: reliable inference for financial economics," Papers 2008.06130, arXiv.org.
    44. Hsiang‐Tai Lee, 2022. "A Markov regime‐switching Cholesky GARCH model for directly estimating the dynamic of optimal hedge ratio," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 389-412, March.

  18. Robert Engle & Stephen Figlewski, 2015. "Modeling the Dynamics of Correlations among Implied Volatilities," Review of Finance, European Finance Association, vol. 19(3), pages 991-1018.

    Cited by:

    1. Chia-Lin Chang & Michael McAleer, 2017. "The Correct Regularity Condition and Interpretation of Asymmetry in EGARCH," Documentos de Trabajo del ICAE 2017-17, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    2. Chia-Lin Chang & Yiying Li & Michael McAleer, 2018. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Energies, MDPI, vol. 11(6), pages 1-19, June.
    3. Adjemian, Michael K. & Bruno, Valentina & Robe, Michel A. & Wallen, Jonathan, 2017. "What Drives Volatility Expectations in Grain and Oilseed Markets?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258452, Agricultural and Applied Economics Association.
    4. Jozef Barunik & Mattia Bevilacqua & Michael Ellington, 2023. "Common Firm-level Investor Fears: Evidence from Equity Options," Papers 2309.03968, arXiv.org.
    5. Ahmad, Wasim & Hernandez, Jose Arreola & Saini, Seema & Mishra, Ritesh Kumar, 2021. "The US equity sectors, implied volatilities, and COVID-19: What does the spillover analysis reveal?," Resources Policy, Elsevier, vol. 72(C).
    6. Fabian Woebbeking, 2021. "Cryptocurrency volatility markets," Digital Finance, Springer, vol. 3(3), pages 273-298, December.
    7. de Carvalho, Pablo Jose Campos & Gupta, Aparna, 2018. "A network approach to unravel asset price comovement using minimal dependence structure," Journal of Banking & Finance, Elsevier, vol. 91(C), pages 119-132.
    8. Yfanti, Stavroula & Karanasos, Menelaos & Zopounidis, Constantin & Christopoulos, Apostolos, 2023. "Corporate credit risk counter-cyclical interdependence: A systematic analysis of cross-border and cross-sector correlation dynamics," European Journal of Operational Research, Elsevier, vol. 304(2), pages 813-831.
    9. Jarno Talponen, 2018. "Matching distributions: Recovery of implied physical densities from option prices," Papers 1803.03996, arXiv.org.
    10. Psaradellis, Ioannis & Sermpinis, Georgios, 2016. "Modelling and trading the U.S. implied volatility indices. Evidence from the VIX, VXN and VXD indices," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1268-1283.
    11. Bernard Herskovic & Bryan Kelly & Hanno Lustig & Stijn Van Nieuwerburgh, 2020. "Firm Volatility in Granular Networks," Journal of Political Economy, University of Chicago Press, vol. 128(11), pages 4097-4162.
    12. Herskovic, Bernard & Kelly, Bryan & Lustig, Hanno & Van Nieuwerburgh, Stijn, 2016. "The common factor in idiosyncratic volatility: Quantitative asset pricing implications," Journal of Financial Economics, Elsevier, vol. 119(2), pages 249-283.
    13. Carr, Peter & Wu, Liuren, 2016. "Analyzing volatility risk and risk premium in option contracts: A new theory," Journal of Financial Economics, Elsevier, vol. 120(1), pages 1-20.
    14. Guglielmo Maria Caporale & Stavroula Yfanti & Menelaos Karanasos & Jiaying Wu, 2023. "Financial Integration and European Tourism Stocks," CESifo Working Paper Series 10269, CESifo.

  19. Robert Engle & Eric Jondeau & Michael Rockinger, 2015. "Systemic Risk in Europe," Review of Finance, European Finance Association, vol. 19(1), pages 145-190.
    See citations under working paper version above.
  20. Engle, Robert & Mistry, Abhishek, 2014. "Priced risk and asymmetric volatility in the cross section of skewness," Journal of Econometrics, Elsevier, vol. 182(1), pages 135-144.

    Cited by:

    1. Paul Schneider & Christian Wagner & Josef Zechner, 2019. "Low Risk Anomalies?," Swiss Finance Institute Research Paper Series 19-50, Swiss Finance Institute.
    2. Aghamolla, Cyrus & An, Byeong-Je, 2021. "Voluntary disclosure with evolving news," Journal of Financial Economics, Elsevier, vol. 140(1), pages 21-53.
    3. Félix, Luiz & Kräussl, Roman & Stork, Philip, 2016. "The 2011 European short sale ban: A cure or a curse?," Journal of Financial Stability, Elsevier, vol. 25(C), pages 115-131.
    4. Sobhesh Kumar Agarwalla & Jayanth R. Varma & Vineet Virmani, 2021. "Rational repricing of risk during COVID‐19: Evidence from Indian single stock options market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(10), pages 1498-1519, October.
    5. Bollerslev, Tim & Patton, Andrew J. & Quaedvlieg, Rogier, 2022. "Realized semibetas: Disentangling “good” and “bad” downside risks," Journal of Financial Economics, Elsevier, vol. 144(1), pages 227-246.

  21. Acharya, Viral & Engle, Robert & Pierret, Diane, 2014. "Testing macroprudential stress tests: The risk of regulatory risk weights," Journal of Monetary Economics, Elsevier, vol. 65(C), pages 36-53.
    See citations under working paper version above.
  22. Robert F. Engle & Eric Ghysels & Bumjean Sohn, 2013. "Stock Market Volatility and Macroeconomic Fundamentals," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 776-797, July.

    Cited by:

    1. Rangan Gupta & Patrick Kanda & Mark E. Wohar, 2021. "Predicting Stock Market Movements in the United States: The Role of Presidential Approval Ratings," International Review of Finance, International Review of Finance Ltd., vol. 21(1), pages 324-335, March.
    2. Fang, Libing & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2019. "Does global economic uncertainty matter for the volatility and hedging effectiveness of Bitcoin?," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 29-36.
    3. Saadaoui Mallek, Ray & Albaity, Mohamed & Molyneux, Philip, 2022. "Herding behaviour heterogeneity under economic and political risks: Evidence from GCC," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 345-361.
    4. Ha, Jongrim & Kose, M. Ayhan & Otrok, Christopher & Prasad, Eswar, 2020. "Global Macro-Financial Cycles and Spillovers," IZA Discussion Papers 13000, Institute of Labor Economics (IZA).
    5. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2018. "Dissecting the 2007–2009 Real Estate Market Bust: Systematic Pricing Correction or Just a Housing Fad?," Journal of Financial Econometrics, Oxford University Press, vol. 16(1), pages 34-62.
    6. González, Mariano & Nave, Juan & Rubio, Gonzalo, 2018. "Macroeconomic determinants of stock market betas," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 26-44.
    7. Nagapetyan, Artur, 2019. "Precondition stock and stock indices volatility modeling based on market diversification potential: Evidence from Russian market," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 56, pages 45-61.
    8. Kim Christensen & Mathias Siggaard & Bezirgen Veliyev, 2021. "A machine learning approach to volatility forecasting," CREATES Research Papers 2021-03, Department of Economics and Business Economics, Aarhus University.
    9. Campbell, John Y. & Giglio, Stefano & Polk, Christopher & Turley, Robert, 2018. "An intertemporal CAPM with stochastic volatility," Journal of Financial Economics, Elsevier, vol. 128(2), pages 207-233.
    10. Kalkuhl, Matthias, 2014. "How Strong Do Global Commodity Prices Influence Domestic Food Prices? A Global Price Transmission Analysis," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169798, Agricultural and Applied Economics Association.
    11. Megaritis, Anastasios & Vlastakis, Nikolaos & Triantafyllou, Athanasios, 2021. "Stock market volatility and jumps in times of uncertainty," Journal of International Money and Finance, Elsevier, vol. 113(C).
    12. Eichler, Stefan & Rövekamp, Ingmar, 2017. "Eurozone exit risk," CEPIE Working Papers 07/17, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    13. Tsiakas, Ilias & Zhang, Haibin, 2021. "Economic fundamentals and the long-run correlation between exchange rates and commodities," Global Finance Journal, Elsevier, vol. 49(C).
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    1. Huo, Rui & Ahmed, Abdullahi D., 2017. "Return and volatility spillovers effects: Evaluating the impact of Shanghai-Hong Kong Stock Connect," Economic Modelling, Elsevier, vol. 61(C), pages 260-272.
    2. Suraj Kumar & Krishna Prasanna, 2019. "Global Financial Crisis: Dynamics of Liquidity Risk in Emerging Asia," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(3), pages 339-362, December.
    3. Camille Baulant & Nivine Albouz, 2021. "Has financial globalization since 1990 reduced income inequality: the role of rating announcements on the volatility and the returns of the Brazilian Financial Market [Les annonces de notation souv," Working Papers hal-03258994, HAL.
    4. Matteo Barigozzi & Christian Brownlees, 2013. "Nets: Network Estimation for Time Series," Working Papers 723, Barcelona School of Economics.
    5. Donelli, Nicola & Peluso, Stefano & Mira, Antonietta, 2021. "A Bayesian semiparametric vector Multiplicative Error Model," Computational Statistics & Data Analysis, Elsevier, vol. 161(C).
    6. Baruník, Jozef & Bevilacqua, Mattia & Tunaru, Radu, 2022. "Asymmetric network connectedness of fears," LSE Research Online Documents on Economics 108199, London School of Economics and Political Science, LSE Library.
    7. Alexander Karmann & Rodrigo Herrera, 2014. "Volatility Contagion in the Asian Crisis: New Evidence of Volatility Tail Dependence," Review of Development Economics, Wiley Blackwell, vol. 18(2), pages 354-371, May.
    8. Zheng, Tingguo & Zuo, Haomiao, 2013. "Reexamining the time-varying volatility spillover effects: A Markov switching causality approach," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 643-662.
    9. Dimitrios Louzis, 2015. "Measuring spillover effects in Euro area financial markets: a disaggregate approach," Empirical Economics, Springer, vol. 49(4), pages 1367-1400, December.
    10. Afonso, António & Gomes, Pedro & Taamouti, Abderrahim, 2014. "Sovereign credit ratings, market volatility, and financial gains," Working Paper Series 1654, European Central Bank.
    11. Clements, A.E. & Hurn, A.S. & Volkov, V.V., 2015. "Volatility transmission in global financial markets," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 3-18.
    12. Imran Yousaf & Shoaib Ali & Wing-Keung Wong, 2020. "An Empirical Analysis of the Volatility Spillover Effect between World-Leading and the Asian Stock Markets: Implications for Portfolio Management," JRFM, MDPI, vol. 13(10), pages 1-28, September.
    13. António Afonso & João Tovar Jalles, 2020. "Economic volatility and sovereign yields’ determinants: a time-varying approach," Empirical Economics, Springer, vol. 58(2), pages 427-451, February.
    14. Yang, Zihui & Zhou, Yinggang, 2018. "Systemic Risk in Global Volatility Spillover Networks: Evidence from Option-implied Volatility Indices," IRTG 1792 Discussion Papers 2018-003, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    15. Barunik, Jozef & Krehlik, Tomas, 2016. "Measuring the frequency dynamics of financial and macroeconomic connectedness," FinMaP-Working Papers 54, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    16. Xu, Yongdeng & Taylor, Nick & Lu, Wenna, 2018. "Illiquidity and Volatility Spillover effects in Equity Markets during and after the Global Financial Crisis: an MEM approach," Cardiff Economics Working Papers E2018/6, Cardiff University, Cardiff Business School, Economics Section.
    17. Gilles de Truchis & Benjamin Keddad, 2014. "Analyzing Financial Integration in East Asia through Fractional Cointegration in Volatilities," Working Papers 2014-382, Department of Research, Ipag Business School.
    18. Iwanicz-Drozdowska, Małgorzata & Rogowicz, Karol & Kurowski, Łukasz & Smaga, Paweł, 2021. "Two decades of contagion effect on stock markets: Which events are more contagious?," Journal of Financial Stability, Elsevier, vol. 55(C).
    19. Alessandra Amendola & Marinella Boccia & Vincenzo Candila & Giampiero M. Gallo, 2020. "Energy and non–energy Commodities: Spillover Effects on African Stock Markets," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 9(4), pages 1-7.
    20. Harald Schmidbauer & Angi Rösch & Erhan Uluceviz & Narod Erkol, 2016. "The Russian Stock Market during the Ukrainian Crisis: A Network Perspective," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(6), pages 478-509, December.
    21. N. Taylor & Y. Xu, 2017. "The logarithmic vector multiplicative error model: an application to high frequency NYSE stock data," Quantitative Finance, Taylor & Francis Journals, vol. 17(7), pages 1021-1035, July.
    22. Ellington, Michael, 2022. "Fat tails, serial dependence, and implied volatility index connections," European Journal of Operational Research, Elsevier, vol. 299(2), pages 768-779.
    23. Guan, Bo & Mazouz, Khelifa & Xu, Yongdeng, 2023. "Asymmetric volatility spillover between crude oil and other asset markets," Cardiff Economics Working Papers E2023/27, Cardiff University, Cardiff Business School, Economics Section.
    24. Khalifa, Ahmed A. & Alsarhan, Abdulwahab A. & Bertuccelli, Pietro, 2017. "Causes and consequences of energy price shocks on petroleum-based stock market using the spillover asymmetric multiplicative error model," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 307-314.
    25. Murat Akkaya, 2021. "An Analysis of the Stock Market Volatility Spread in Emerging Countries," Istanbul Business Research, Istanbul University Business School, vol. 50(2), pages 215-233, November.
    26. Yarovaya, Larisa & Brzeszczyński, Janusz & Goodell, John W. & Lucey, Brian & Lau, Chi Keung Marco, 2022. "Rethinking financial contagion: Information transmission mechanism during the COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    27. Nishimura, Yusaku & Sun, Bianxia, 2018. "The intraday volatility spillover index approach and an application in the Brexit vote," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 241-253.
    28. Usman M. Umer, Metin Coskun, Kasim Kiraci, 2018. "Time-varying Return and Volatility Spillover among EAGLEs Stock Markets: A Multivariate GARCH Analysis," Journal of Finance and Economics Research, Geist Science, Iqra University, Faculty of Business Administration, vol. 3(1), pages 23-42, March.
    29. Golosnoy, Vasyl & Gribisch, Bastian & Liesenfeld, Roman, 2012. "Intra-daily volatility spillovers between the US and German stock markets," Economics Working Papers 2012-06, Christian-Albrechts-University of Kiel, Department of Economics.
    30. Marcel Aloy & Gilles de Truchis & Gilles Dufrénot & Benjamin Keddad, 2014. "Shift-Volatility Transmission in East Asian Equity Markets," AMSE Working Papers 1402, Aix-Marseille School of Economics, France, revised Mar 2014.
    31. Rajni Kant Rajhans & Anuradha Jain, 2015. "Volatility Spillover in Foreign Exchange Markets," Paradigm, , vol. 19(2), pages 137-151, December.
    32. Fabrizio Cipollini & Giampiero M. Gallo, 2009. "Automated Variable Selection in Vector Multiplicative Error Models," Econometrics Working Papers Archive wp2009_02, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    33. Apostolou, Apostolos & Beirne, John, 2019. "Volatility spillovers of unconventional monetary policy to emerging market economies," Economic Modelling, Elsevier, vol. 79(C), pages 118-129.
    34. Hafner, Christian & Linton, Oliver & Wang, Linqi, 2022. "Dynamic Autoregressive Liquidity (DArLiQ)," LIDAM Discussion Papers LFIN 2022002, Université catholique de Louvain, Louvain Finance (LFIN).
    35. Roni Bhowmik & Wang Shouyang & Abbas Ghulam, 2018. "Return and Volatility Spillovers Effects: Study of Asian Emerging Stock Markets," Journal of Systems Science and Information, De Gruyter, vol. 6(2), pages 97-119, April.
    36. Giampiero M. Gallo & Edoardo Otranto, 2012. "Volatility Swings in the US Financial Markets," Econometrics Working Papers Archive 2012_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Jul 2012.
    37. Golosnoy, Vasyl & Gribisch, Bastian & Liesenfeld, Roman, 2015. "Intra-daily volatility spillovers in international stock markets," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 95-114.
    38. Apostolou, Apostolos & Beirne, John, 2017. "Volatility spillovers of Federal Reserve and ECB balance sheet expansions to emerging market economies," Working Paper Series 2044, European Central Bank.
    39. Fabrizio Cipollini & Giampiero M. Gallo, 2018. "Modeling Euro STOXX 50 Volatility with Common and Market–specific Components," Working Paper series 18-26, Rimini Centre for Economic Analysis.
    40. Jauhar Abbas & Hammad Hassan Mirza & Haroon Hussain & Rana Yassir Hussain & Muhammad Saad & Masud Akhtar, 2021. "Stock Market Reaction towards Terrorism: An Evidence Based on Seasonal Variation in Pakistan," Journal of Economic Impact, Science Impact Publishers, vol. 3(3), pages 167-177.
    41. Luintel, Kul B & Xu, Yongdeng, 2013. "Testing weak exogeneity in multiplicative error models," Cardiff Economics Working Papers E2013/6, Cardiff University, Cardiff Business School, Economics Section.
    42. Demetrio Lacava & Luca Scaffidi Domianello, 2021. "The Incidence of Spillover Effects during the Unconventional Monetary Policies Era," JRFM, MDPI, vol. 14(6), pages 1-18, May.
    43. Zhang, Xingmin & Zhang, Shuai & Lu, Liping, 2022. "The banking instability and climate change: Evidence from China," Energy Economics, Elsevier, vol. 106(C).
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    45. Christian T. Brownlees & Fabrizio Cipollini & Giampiero M. Gallo, 2011. "Multiplicative Error Models," Econometrics Working Papers Archive 2011_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Apr 2011.
    46. Antonios K. Alexandridis & Mohammad S. Hasan, 2020. "Global financial crisis and multiscale systematic risk: Evidence from selected European stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 518-546, October.
    47. Jozef Barunik & Tomas Krehlik, 2015. "Measuring the frequency dynamics of financial connectedness and systemic risk," Papers 1507.01729, arXiv.org, revised Dec 2017.
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    1. Cipollini, Fabrizio & Giannozzi, Alessandro & Menchetti, Fiammetta & Roggi, Oliviero, 2020. "The beauty contest between systemic and systematic risk measures: Assessing the empirical performance," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 316-332.
    2. Sonia Dissem, 2019. "Asset commonality of European banks," Journal of Banking Regulation, Palgrave Macmillan, vol. 20(1), pages 1-33, March.
    3. Naeem, Muhammad Abubakr & Yousaf, Imran & Karim, Sitara & Yarovaya, Larisa & Ali, Shoaib, 2023. "Tail-event driven NETwork dependence in emerging markets," Emerging Markets Review, Elsevier, vol. 55(C).
    4. Paltalidis, Nikos & Gounopoulos, Dimitrios & Kizys, Renatas & Koutelidakis, Yiannis, 2015. "Transmission channels of systemic risk and contagion in the European financial network," Journal of Banking & Finance, Elsevier, vol. 61(S1), pages 36-52.
    5. De Rezende, Rafael B., 2023. "An event-driven bank stress indicator: The case of US regional banks," Finance Research Letters, Elsevier, vol. 56(C).
    6. David Aikman & Michael T. Kiley & Seung Jung Lee & Michael G. Palumbo & Missaka Warusawitharana, 2015. "Mapping Heat in the U.S. Financial System," Finance and Economics Discussion Series 2015-59, Board of Governors of the Federal Reserve System (U.S.).
    7. Aymen Mselmi & Imen Mahmoud, 2023. "Systemic Risk: A Comparative Study between Public and Private Banks," International Journal of Economics and Financial Issues, Econjournals, vol. 13(3), pages 117-125, May.
    8. Borri, Nicola, 2018. "Local currency systemic risk," Emerging Markets Review, Elsevier, vol. 34(C), pages 111-123.
    9. Mert Demirer & Francis X. Diebold & Laura Liu & Kamil Yilmaz, 2018. "Estimating global bank network connectedness," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(1), pages 1-15, January.
    10. Sessi Tokpavi, 2013. "Testing for the Systemically Important Financial Institutions: a Conditional Approach," Working Papers hal-04141194, HAL.
    11. Somnath Chatterjee & Marea Sing, 2021. "Measuring Systemic Risk in South African Banks," Working Papers 11004, South African Reserve Bank.
    12. Nucera, Federico & Schwaab, Bernd & Koopman, Siem Jan & Lucas, André, 2016. "The information in systemic risk rankings," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 461-475.
    13. Sheheryar Malik & Ms. TengTeng Xu, 2017. "Interconnectedness of Global Systemically-Important Banks and Insurers," IMF Working Papers 2017/210, International Monetary Fund.
    14. Mark Paddrik & Jessie Jiaxu Wang, 2016. "Bank Networks and Systemic Risk: Evidence from the National Banking Acts," Working Papers 16-13, Office of Financial Research, US Department of the Treasury.
    15. Richardson, Matthew P & Philippon, Thomas & Acharya, Viral & Pedersen, Lasse Heje, 2012. "Measuring Systemic Risk," CEPR Discussion Papers 8824, C.E.P.R. Discussion Papers.
    16. Tiwari, Aviral Kumar & Trabelsi, Nader & Alqahtani, Faisal & Raheem, Ibrahim D., 2020. "Systemic risk spillovers between crude oil and stock index returns of G7 economies: Conditional value-at-risk and marginal expected shortfall approaches," Energy Economics, Elsevier, vol. 86(C).
    17. Banulescu, Georgiana-Denisa & Dumitrescu, Elena-Ivona, 2015. "Which are the SIFIs? A Component Expected Shortfall approach to systemic risk," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 575-588.
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    20. Goel, Tirupam & Lewrick, Ulf & Mathur, Aakriti, 2021. "Does regulation only bite the less profitable? Evidence from the too-big-to-fail reforms," Bank of England working papers 946, Bank of England.
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    22. Paul H. Kupiec, 2015. "Testing for systemic risk using stock returns," AEI Economics Working Papers 828488, American Enterprise Institute.
    23. Chang, Carolyn W. & Li, Xiaodan & Lin, Edward M.H. & Yu, Min-Teh, 2018. "Systemic risk, interconnectedness, and non-core activities in Taiwan insurance industry," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 273-284.
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    25. Luis Garcia & Ulf Lewrick & Taja Sečnik, 2023. "Window Dressing and the Designation of Global Systemically Important Banks," Journal of Financial Services Research, Springer;Western Finance Association, vol. 64(2), pages 231-264, October.
    26. Chiara Pederzoli & Costanza Torricelli, 2015. "Systemic risk measures and macroprudential stress tests. An assessment over the 2014 EBA exercise," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0054, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    27. Ayala, Astrid & Blazsek, Szabolcs & Escribano, Álvaro, 2019. "Score-driven time series models with dynamic shape : an application to the Standard & Poor's 500 index," UC3M Working papers. Economics 28133, Universidad Carlos III de Madrid. Departamento de Economía.
    28. Huang, Wei-Qiang & Wang, Dan, 2018. "A return spillover network perspective analysis of Chinese financial institutions’ systemic importance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 405-421.
    29. Mardi Dungey & Matteo Luciani & David Veredas, 2012. "Ranking Systemically Important Financial Institutions," Tinbergen Institute Discussion Papers 12-115/IV/DSF44, Tinbergen Institute.
    30. Ellington, Michael, 2022. "Fat tails, serial dependence, and implied volatility index connections," European Journal of Operational Research, Elsevier, vol. 299(2), pages 768-779.
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    37. Deni Irawan & Tatsuyoshi Okimoto, 2021. "Conditional Capital Surplus and Shortfall across Renewable and Non-Renewable Resource Firms," LPEM FEBUI Working Papers 202165, LPEM, Faculty of Economics and Business, University of Indonesia, revised 2021.
    38. Monica Billio & Roberto Casarin & Luca Rossini, 2016. "Bayesian nonparametric sparse VAR models," Papers 1608.02740, arXiv.org, revised Oct 2018.
    39. Seo Joon Choi & Kanghyun Kim & Sunyoung Park, 2020. "Is systemic risk systematic? Evidence from the U.S. stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 642-663, October.
    40. Mitchener, Kris & Das, Sanjiv & Vossmeyer, Angela, 2018. "Bank Regulation, Network Topology, and Systemic Risk: Evidence from the Great Depression," CEPR Discussion Papers 13416, C.E.P.R. Discussion Papers.
    41. Paolo Giudici & Laura Parisi, 2016. "Bail in or Bail out? The Atlante example from a systemic risk perspective," DEM Working Papers Series 124, University of Pavia, Department of Economics and Management.
    42. Peter Grundke, 2019. "Ranking consistency of systemic risk measures: a simulation-based analysis in a banking network model," Review of Quantitative Finance and Accounting, Springer, vol. 52(4), pages 953-990, May.
    43. Langfield, Sam & Pagano, Marco, 2015. "Bank bias in Europe: effects on systemic risk and growth," Working Paper Series 1797, European Central Bank.
    44. Ilyes Abidi & Mariem Nsaibi & Khaled Hussainey, 2022. "Does Ownership Structure Moderate the Relationship between Systemic Risk and Corporate Governance? Evidence from Gulf Cooperation Council Countries," JRFM, MDPI, vol. 15(5), pages 1-17, May.
    45. Umar, Zaghum & Trabelsi, Nader & Alqahtani, Faisal, 2021. "Connectedness between cryptocurrency and technology sectors: International evidence," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 910-922.
    46. Francis X. Diebold & Kamil Yilmaz, 2011. "On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms," Koç University-TUSIAD Economic Research Forum Working Papers 1124, Koc University-TUSIAD Economic Research Forum.
    47. Geraci, Marco Valerio & Gnabo, Jean-Yves, 2018. "Measuring Interconnectedness between Financial Institutions with Bayesian Time-Varying Vector Autoregressions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(3), pages 1371-1390, June.
    48. Anya Kleymenova & İrem Tuna, 2021. "Regulation of Compensation and Systemic Risk: Evidence from the UK," Journal of Accounting Research, Wiley Blackwell, vol. 59(3), pages 1123-1175, June.
    49. Yener Altunbas & Michiel van Leuvensteijn & David Marques-Ibanez, 2013. "Competition And Bank Risk: The Role Of Securitization And Bank Capital," Working Papers 13005, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    50. Qin, Xiao & Zhou, Chunyang, 2019. "Financial structure and determinants of systemic risk contribution," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
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    1. CARPANTIER, Jean - François, 2010. "Commodities inventory effect," LIDAM Discussion Papers CORE 2010040, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Dahiru A. Balaa & Taro Takimotob, 2017. "Stock markets volatility spillovers during financial crises: A DCC-MGARCH with skewed-t density approach," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 17(1), pages 25-48, March.
    3. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2011. "Financial Risk Measurement for Financial Risk Management," CREATES Research Papers 2011-37, Department of Economics and Business Economics, Aarhus University.
    4. Januj Juneja, 2018. "Empirical performance of Gaussian affine dynamic term structure models in the presence of autocorrelation misspecification bias," Review of Quantitative Finance and Accounting, Springer, vol. 50(3), pages 695-715, April.
    5. Wolf, Elias, 2022. "Estimating growth at risk with skewed stochastic volatility models," Discussion Papers 2022/2, Free University Berlin, School of Business & Economics.
    6. Chenglu Jin & Thomas Conlon & John Cotter, 2023. "Co-Skewness across Return Horizons," Journal of Financial Econometrics, Oxford University Press, vol. 21(5), pages 1483-1518.
    7. Johannes Rauch & Carol Alexander, 2016. "Tail Risk Premia for Long-Term Equity Investors," Papers 1602.00865, arXiv.org.
    8. Bauwens, L. & Hafner C. & Laurent, S., 2011. "Volatility Models," LIDAM Discussion Papers ISBA 2011044, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
      • BAUWENS, Luc & HAFNER, Christian & LAURENT, Sébastien, 2011. "Volatility models," LIDAM Discussion Papers CORE 2011058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
      • Bauwens, L. & Hafner, C. & Laurent, S., 2012. "Volatility Models," LIDAM Reprints ISBA 2012028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    9. Chabi-Yo, Fousseni & Leisen, Dietmar P.J. & Renault, Eric, 2014. "Aggregation of preferences for skewed asset returns," Journal of Economic Theory, Elsevier, vol. 154(C), pages 453-489.
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  27. José Gonzalo Rangel & Robert F. Engle, 2011. "The Factor--Spline--GARCH Model for High and Low Frequency Correlations," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 109-124, May.
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    1. Allard, Anne-Florence & Iania, Leonardo & Smedts, Kristien, 2020. "Stock-bond return correlations: Moving away from "one-frequency-fits-all" by extending the DCC-MIDAS approach," LIDAM Reprints LFIN 2020005, Université catholique de Louvain, Louvain Finance (LFIN).
    2. Fang, Libing & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2019. "Does global economic uncertainty matter for the volatility and hedging effectiveness of Bitcoin?," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 29-36.
    3. Aslanidis, Nektarios & Martínez Ibáñez, Óscar, 2012. "Modelling world investment markets using threshold conditional correlation models," Working Papers 2072/203167, Universitat Rovira i Virgili, Department of Economics.
    4. Bauwens, Luc & Braione, Manuela & Storti, Giuseppe, 2017. "A dynamic component model for forecasting high-dimensional realized covariance matrices," Econometrics and Statistics, Elsevier, vol. 1(C), pages 40-61.
    5. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things You Should Know About the Dynamic Conditional Correlation Representation," Working Papers in Economics 13/21, University of Canterbury, Department of Economics and Finance.
    6. Yang, Lu & Cai, Xiao Jing & Hamori, Shigeyuki, 2018. "What determines the long-term correlation between oil prices and exchange rates?," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 140-152.
    7. Skintzi, Vasiliki D., 2019. "Determinants of stock-bond market comovement in the Eurozone under model uncertainty," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 20-28.
    8. Turhan, M. Ibrahim & Sensoy, Ahmet & Ozturk, Kevser & Hacihasanoglu, Erk, 2014. "A view to the long-run dynamic relationship between crude oil and the major asset classes," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 286-299.
    9. Driton Kuçi, 2015. "Contemporary Models of Organization of Power and the Macedonian Model of Organization of Power," European Journal of Interdisciplinary Studies Articles, Revistia Research and Publishing, vol. 1, September.
    10. Rita Pimentel & Morten Risstad & Sjur Westgaard, 2022. "Predicting interest rate distributions using PCA & quantile regression," Digital Finance, Springer, vol. 4(4), pages 291-311, December.
    11. Berens, Tobias & Weiß, Gregor N.F. & Wied, Dominik, 2015. "Testing for structural breaks in correlations: Does it improve Value-at-Risk forecasting?," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 135-152.
    12. Tsiakas, Ilias & Zhang, Haibin, 2021. "Economic fundamentals and the long-run correlation between exchange rates and commodities," Global Finance Journal, Elsevier, vol. 49(C).
    13. João F. Caldeira & Guilherme V. Moura & Francisco J. Nogales & André A. P. Santos, 2017. "Combining Multivariate Volatility Forecasts: An Economic-Based Approach," Journal of Financial Econometrics, Oxford University Press, vol. 15(2), pages 247-285.
    14. Cristina Amado & Annastiina Silvennoinen & Timo Teräsvirta, 2018. "Models with Multiplicative Decomposition of Conditional Variances and Correlations," CREATES Research Papers 2018-14, Department of Economics and Business Economics, Aarhus University.
    15. Das, Sonali & Demirer, Riza & Gupta, Rangan & Mangisa, Siphumlile, 2019. "The effect of global crises on stock market correlations: Evidence from scalar regressions via functional data analysis," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 132-147.
    16. Nguyen, Hoang & Javed, Farrukh, 2021. "Dynamic relationship between Stock and Bond returns: A GAS MIDAS copula approach," Working Papers 2021:15, Örebro University, School of Business.
    17. Hossein Asgharian & Charlotte Christiansen & Ai Jun Hou, 2016. "Macro-Finance Determinants of the Long-Run Stock–Bond Correlation: The DCC-MIDAS Specification," Journal of Financial Econometrics, Oxford University Press, vol. 14(3), pages 617-642.
    18. Qifa Xu & Lu Chen & Cuixia Jiang & Yezheng Liu, 2022. "Forecasting expected shortfall and value at risk with a joint elicitable mixed data sampling model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 407-421, April.
    19. Erica R. PEREGO & Wessel N. VERMEULEN, 2013. "Macroeconomic determinants of European stock and government bond correlations: A tale of two regions," LIDAM Discussion Papers IRES 2013013, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    20. Fengler, Matthias R. & Okhrin, Ostap, 2016. "Managing risk with a realized copula parameter," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 131-152.
    21. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things You Should Know About DCC," Documentos de Trabajo del ICAE 2013-12, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    22. Hossein Asgharian & Charlotte Christiansen & Ai Jun Hou, 2017. "Economic Policy Uncertainty and Long-Run Stock Market Volatility and Correlation," CREATES Research Papers 2018-12, Department of Economics and Business Economics, Aarhus University.
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    1. Gianluca Cubadda & Alain Hecq, 2021. "Reduced Rank Regression Models in Economics and Finance," CEIS Research Paper 525, Tor Vergata University, CEIS, revised 08 Nov 2021.
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    See citations under working paper version above.
  37. Russell, Jeffrey R. & Engle, Robert F., 2005. "A Discrete-State Continuous-Time Model of Financial Transactions Prices and Times: The Autoregressive Conditional Multinomial-Autoregressive Conditional Duration Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 166-180, April.

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    1. Herrera, Rodrigo & Schipp, Bernhard, 2013. "Value at risk forecasts by extreme value models in a conditional duration framework," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 33-47.
    2. Peter Reinhard Hansen, 2015. "A Martingale Decomposition of Discrete Markov Chains," CREATES Research Papers 2015-18, Department of Economics and Business Economics, Aarhus University.
    3. Xiufeng Yan, 2021. "Autoregressive conditional duration modelling of high frequency data," Papers 2111.02300, arXiv.org.
    4. Bhatti, Chad R., 2009. "On the interday homogeneity in the intraday rate of trading," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(7), pages 2250-2257.
    5. Yogo Purwono & Irwan Adi Ekaputra & Zaäfri Ananto Husodo, 2018. "Estimation of Dynamic Mixed Hitting Time Model Using Characteristic Function Based Moments," Computational Economics, Springer;Society for Computational Economics, vol. 51(2), pages 295-321, February.
    6. Jannik Schütz Roungkvist & Peter Enevoldsen & George Xydis, 2020. "High-Resolution Electricity Spot Price Forecast for the Danish Power Market," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    7. Vladim'ir Hol'y & Petra Tomanov'a, 2021. "Modeling Price Clustering in High-Frequency Prices," Papers 2102.12112, arXiv.org, revised Mar 2021.
    8. Douglas, Christopher C. & Kolar, Marek, 2009. "Capturing the time dynamics of central bank intervention," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(5), pages 950-968, December.
    9. Charlie X. Cai & Qi Zhang, 2016. "High†Frequency Exchange Rate Forecasting," European Financial Management, European Financial Management Association, vol. 22(1), pages 120-141, January.
    10. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2007. "Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 701-720, November.
    11. Drew Creal & Siem Jan Koopman & André Lucas, 2008. "A General Framework for Observation Driven Time-Varying Parameter Models," Tinbergen Institute Discussion Papers 08-108/4, Tinbergen Institute.
    12. Duan, Qihong & Wei, Ying & Chen, Zhiping, 2014. "Relationship between the benchmark interest rate and a macroeconomic indicator," Economic Modelling, Elsevier, vol. 38(C), pages 220-226.
    13. Dionne, Georges & Zhou, Xiaozhou, 2016. "The Dynamics of Ex-ante High-Frequency Liquidity: An Empirical Analysis," Working Papers 15-5, HEC Montreal, Canada Research Chair in Risk Management.
    14. Qi Zhang & Charlie X Cai & Kevin Keasey, 2009. "Forecasting using high-frequency data: a comparison of asymmetric financial duration models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(5), pages 371-386.
    15. Stanislav Anatolyev & Dmitry Shakin, 2006. "Trade intensity in the Russian stock market:dynamics, distribution and determinants," Working Papers w0070, New Economic School (NES).
    16. Nikolaus Hautsch & Peter Malec & Melanie Schienle, 2010. "Capturing the Zero: A New Class of Zero-Augmented Distributions and Multiplicative Error Processes," SFB 649 Discussion Papers SFB649DP2010-055, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    17. Rzayev, Khaladdin & Ibikunle, Gbenga, 2019. "A state-space modeling of the information content of trading volume," Journal of Financial Markets, Elsevier, vol. 46(C).
    18. Byeong U. Park & Leopold Simar & Valentin Zelenyuk, 2016. "Nonparametric Estimation of Dynamic Discrete Choice Models for Time Series Data," CEPA Working Papers Series WP062016, School of Economics, University of Queensland, Australia.
    19. Naimoli, Antonio & Storti, Giuseppe, 2019. "Heterogeneous component multiplicative error models for forecasting trading volumes," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1332-1355.
    20. Nolte, Ingmar & Nolte, Sandra & Pohlmeier, Winfried, 2019. "What determines forecasters’ forecasting errors?," International Journal of Forecasting, Elsevier, vol. 35(1), pages 11-24.
    21. Christensen, T.M. & Hurn, A.S. & Lindsay, K.A., 2012. "Forecasting spikes in electricity prices," International Journal of Forecasting, Elsevier, vol. 28(2), pages 400-411.
    22. Nyberg, Henri, 2011. "Forecasting the direction of the US stock market with dynamic binary probit models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 561-578.
    23. Moysiadis, Theodoros & Fokianos, Konstantinos, 2014. "On binary and categorical time series models with feedback," Journal of Multivariate Analysis, Elsevier, vol. 131(C), pages 209-228.
    24. Chen, Bin & Hong, Yongmiao, 2014. "A unified approach to validating univariate and multivariate conditional distribution models in time series," Journal of Econometrics, Elsevier, vol. 178(P1), pages 22-44.
    25. Allen, David & Chan, Felix & McAleer, Michael & Peiris, Shelton, 2008. "Finite sample properties of the QMLE for the Log-ACD model: Application to Australian stocks," Journal of Econometrics, Elsevier, vol. 147(1), pages 163-185, November.
    26. Denisa Georgiana Banulescu & Gilbert Colletaz & Christophe Hurlin & Sessi Tokpavi, 2013. "High-Frequency Risk Measures," Working Papers halshs-00859456, HAL.
    27. Lee, Kyungsub & Seo, Byoung Ki, 2017. "Marked Hawkes process modeling of price dynamics and volatility estimation," Journal of Empirical Finance, Elsevier, vol. 40(C), pages 174-200.
    28. Erhard Reschenhofer & Manveer Kaur Mangat & Christian Zwatz & Sándor Guzmics, 2020. "Evaluation of current research on stock return predictability," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 334-351, March.
    29. Hafner, Christian, 2012. "Cross-correlating wavelet coefficients with applications to high-frequency financial time series," LIDAM Reprints ISBA 2012027, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    30. Wei Wei & Denis Pelletier, 2015. "A Jump-Diffusion Model with Stochastic Volatility and Durations," CREATES Research Papers 2015-34, Department of Economics and Business Economics, Aarhus University.
    31. Dionne, Georges & Duchesne, Pierre & Pacurar, Maria, 2005. "Intraday Value at Risk (IVaR) using tick-by-tick data with application to the Toronto Stock Exchange," Working Papers 05-9, HEC Montreal, Canada Research Chair in Risk Management.
    32. Kalaitzoglou, Iordanis Angelos & Ibrahim, Boulis Maher, 2015. "Liquidity and resolution of uncertainty in the European carbon futures market," International Review of Financial Analysis, Elsevier, vol. 37(C), pages 89-102.
    33. Georges Dionne & Xiaozhou Zhou, 2020. "The dynamics of ex-ante weighted spread: an empirical analysis," Quantitative Finance, Taylor & Francis Journals, vol. 20(4), pages 593-617, April.
    34. Wing Lon Ng, 2006. "Overreaction and Multiple Tail Dependence at the High-frequency Level — The Copula Rose," SFB 649 Discussion Papers SFB649DP2006-086, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    35. Liu, Shouwei & Tse, Yiu-Kuen, 2015. "Intraday Value-at-Risk: An asymmetric autoregressive conditional duration approach," Journal of Econometrics, Elsevier, vol. 189(2), pages 437-446.
    36. Florian Ielpo & Dominique Gúegan, 2009. "Understanding the Importance of the Duration and Size of the Variations of Fed’s Target Rate," The IUP Journal of Monetary Economics, IUP Publications, vol. 0(3-4), pages 44-72, August.
    37. Xiufeng Yan, 2021. "Multiplicative Component GARCH Model of Intraday Volatility," Papers 2111.02376, arXiv.org.
    38. Wing Lon Ng, 2010. "Dynamic Order Submission And Herding Behavior In Electronic Trading," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 33(1), pages 27-43, March.
    39. Emilio Abad-Segura & Mariana-Daniela González-Zamar, 2020. "Global Research Trends in Financial Transactions," Mathematics, MDPI, vol. 8(4), pages 1-32, April.
    40. Sucarrat, Genaro & Grønneberg, Steffen, 2016. "Models of Financial Return With Time-Varying Zero Probability," MPRA Paper 68931, University Library of Munich, Germany.
    41. Vladim'ir Hol'y, 2022. "An Intraday GARCH Model for Discrete Price Changes and Irregularly Spaced Observations," Papers 2211.12376, arXiv.org, revised Sep 2023.
    42. Truquet, Lionel, 2023. "Strong mixing properties of discrete-valued time series with exogenous covariates," Stochastic Processes and their Applications, Elsevier, vol. 160(C), pages 294-317.
    43. Grammig, Joachim & Kehrle, Kerstin, 2008. "A new marked point process model for the federal funds rate target: Methodology and forecast evaluation," Journal of Economic Dynamics and Control, Elsevier, vol. 32(7), pages 2370-2396, July.
    44. Francisco Blasques & Vladimir Holy & Petra Tomanova, 2019. "Zero-Inflated Autoregressive Conditional Duration Model for Discrete Trade Durations with Excessive Zeros," Tinbergen Institute Discussion Papers 19-004/III, Tinbergen Institute.
    45. Dungey, Mardi & Jeyasreedharan, Nagaratnam & Li, Tuo, 2010. "Modelling the Time Between Trades in the After-Hours Electronic Equity Futures Market," Working Papers 10451, University of Tasmania, Tasmanian School of Business and Economics, revised 30 May 2012.
    46. Ielpo, Florian & Guégan, Dominique, 2006. "An econometric specification of monetary policy dark art," MPRA Paper 1004, University Library of Munich, Germany, revised 07 Oct 2006.
    47. Axel Groß-Klußmann & Nikolaus Hautsch, 2011. "Predicting Bid-Ask Spreads Using Long Memory Autoregressive Conditional Poisson Models," SFB 649 Discussion Papers SFB649DP2011-044, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    48. Renault, Eric & van der Heijden, Thijs & Werker, Bas J.M., 2014. "The dynamic mixed hitting-time model for multiple transaction prices and times," Journal of Econometrics, Elsevier, vol. 180(2), pages 233-250.
    49. Nyberg, Henri, 2011. "Forecasting the direction of the US stock market with dynamic binary probit models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 561-578, April.
    50. Trojan, Sebastian, 2014. "Modeling Intraday Stochastic Volatility and Conditional Duration Contemporaneously with Regime Shifts," Economics Working Paper Series 1425, University of St. Gallen, School of Economics and Political Science.
    51. Fokianos, Konstantinos & Truquet, Lionel, 2019. "On categorical time series models with covariates," Stochastic Processes and their Applications, Elsevier, vol. 129(9), pages 3446-3462.

  38. Robert F. Engle & Simone Manganelli, 2004. "CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 367-381, October.
    See citations under working paper version above.
  39. Engle, Robert F. & Patton, Andrew J., 2004. "Impacts of trades in an error-correction model of quote prices," Journal of Financial Markets, Elsevier, vol. 7(1), pages 1-25, January.
    See citations under working paper version above.
  40. Robert Engle, 2004. "Risk and Volatility: Econometric Models and Financial Practice," American Economic Review, American Economic Association, vol. 94(3), pages 405-420, June.
    See citations under working paper version above.
  41. Robert F. Engle & Asger Lunde, 2003. "Trades and Quotes: A Bivariate Point Process," Journal of Financial Econometrics, Oxford University Press, vol. 1(2), pages 159-188.
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  42. Robert Engle, 2002. "New frontiers for arch models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 425-446.

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    1. Ray Chou & Chun-Chou Wu & Nathan Liu, 2009. "Forecasting time-varying covariance with a range-based dynamic conditional correlation model," Review of Quantitative Finance and Accounting, Springer, vol. 33(4), pages 327-345, November.
    2. Matteo Barigozzi & Christian T. Brownlees & Giampiero M. Gallo & David Veredas, 2010. "Disentangling Systematic and Idiosyncratic Risk for Large Panels of Assets," Econometrics Working Papers Archive wp2010_06, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    3. Clive G. Bowsher, 2005. "Modelling Security Market Events in Continuous Time: Intensity Based, Multivariate Point Process Models," Economics Papers 2005-W26, Economics Group, Nuffield College, University of Oxford.
    4. Audrone Virbickaite & M. Concepción Ausín & Pedro Galeano, 2015. "Bayesian Inference Methods For Univariate And Multivariate Garch Models: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 76-96, February.
    5. Virbickaitė, Audronė & Ausín, M. Concepción & Galeano, Pedro, 2016. "A Bayesian non-parametric approach to asymmetric dynamic conditional correlation model with application to portfolio selection," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 814-829.
    6. Ng, F.C. & Li, W.K. & Yu, Philip L.H., 2016. "Diagnostic checking of the vector multiplicative error model," Computational Statistics & Data Analysis, Elsevier, vol. 94(C), pages 86-97.
    7. Driton Kuçi, 2015. "Contemporary Models of Organization of Power and the Macedonian Model of Organization of Power," European Journal of Interdisciplinary Studies Articles, Revistia Research and Publishing, vol. 1, September.
    8. Hallin, Marc & La Vecchia, Davide, 2020. "A Simple R-estimation method for semiparametric duration models," Journal of Econometrics, Elsevier, vol. 218(2), pages 736-749.
    9. Luc Bauwens & Nikolaus Hautsch, 2007. "Modelling Financial High Frequency Data Using Point Processes," SFB 649 Discussion Papers SFB649DP2007-066, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    10. Donelli, Nicola & Peluso, Stefano & Mira, Antonietta, 2021. "A Bayesian semiparametric vector Multiplicative Error Model," Computational Statistics & Data Analysis, Elsevier, vol. 161(C).
    11. Ekin Tokat & Hakkı Arda Tokat, 2010. "Shock and Volatility Transmission in the Futures and Spot Markets: Evidence from Turkish Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 46(4), pages 92-104, January.
    12. Qingfeng Liu & Qingsong Yao & Guoqing Zhao, 2020. "Model averaging estimation for conditional volatility models with an application to stock market volatility forecast," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 841-863, August.
    13. Carlos Escanciano, J., 2008. "Joint and marginal specification tests for conditional mean and variance models," Journal of Econometrics, Elsevier, vol. 143(1), pages 74-87, March.
    14. Degiannakis, Stavros & Filis, George & Kizys, Renatas, 2014. "The effects of oil price shocks on stock market volatility: Evidence from European data," MPRA Paper 96296, University Library of Munich, Germany.
    15. Giampiero M. Gallo & Demetrio Lacava & Edoardo Otranto, 2020. "On Classifying the Effects of Policy Announcements on Volatility," Papers 2011.14094, arXiv.org, revised Feb 2021.
    16. Fabrizio Cipollini & Giampiero M. Gallo & Edoardo Otranto, 2019. "Realized Volatility Forecasting: Robustness to Measurement Errors," Econometrics Working Papers Archive 2019_04, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    17. Heejoon Han & Dennis Kristensen, 2012. "Asymptotic Theory for the QMLE in GARCH-X Models with Stationary and Non-Stationary Covariates," CREATES Research Papers 2012-25, Department of Economics and Business Economics, Aarhus University.
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    274. Mazin A.M. Al Janabi, 2012. "Risk Management in Trading and Investment Portfolios," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 11(2), pages 189-229, August.

  46. Engle, Robert F. & Lange, Joe, 2001. "Predicting VNET: A model of the dynamics of market depth," Journal of Financial Markets, Elsevier, vol. 4(2), pages 113-142, April.

    Cited by:

    1. Großmaß Lidan, 2014. "Liquidity and the Value at Risk," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(5), pages 572-602, October.
    2. Mark D. Flood & John C. Liechty & Thomas Piontek, 2015. "Systemwide Commonalities in Market Liquidity," Working Papers 15-11, Office of Financial Research, US Department of the Treasury.
    3. Maria Ludovica Drudi & Giulio Carlo Venturi, 2023. "Assessing the liquidity premium in the Italian bond market," Questioni di Economia e Finanza (Occasional Papers) 795, Bank of Italy, Economic Research and International Relations Area.
    4. Dionne, Georges & Zhou, Xiaozhou, 2016. "The Dynamics of Ex-ante High-Frequency Liquidity: An Empirical Analysis," Working Papers 15-5, HEC Montreal, Canada Research Chair in Risk Management.
    5. Peter Reinhard Hansen & Asger Lunde, 2005. "A Realized Variance for the Whole Day Based on Intermittent High-Frequency Data," Journal of Financial Econometrics, Oxford University Press, vol. 3(4), pages 525-554.
    6. Francis X. Diebold, 2004. "The Nobel Memorial Prize for Robert F. Engle," Scandinavian Journal of Economics, Wiley Blackwell, vol. 106(2), pages 165-185, June.
    7. Zeynep Cobandag Guloglu & Cumhur Ekinci, 2022. "Liquidity measurement: A comparative review of the literature with a focus on high frequency," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 41-74, February.
    8. Robert Brooks & Edwyna Harris & Yovina Joymungul, 2013. "Price clustering in Australian water markets," Applied Economics, Taylor & Francis Journals, vol. 45(6), pages 677-685, February.
    9. David Easley & Robert F. Engle & Maureen O'Hara & Liuren Wu, 2002. "Time-Varying Arrival Rates of Informed and Uninformed Trades," Finance 0207017, University Library of Munich, Germany.
    10. Thomas Johann & Erik Theissen, 2013. "Liquidity measures," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 10, pages 238-255, Edward Elgar Publishing.
    11. José Yagüe & J. Gómez-Sala, 2005. "Price and tick size preferences in trading activity changes around stock split executions," Spanish Economic Review, Springer;Spanish Economic Association, vol. 7(2), pages 111-138, June.
    12. Damien Wallace & Petko S. Kalev & Guanhua Lian, 2019. "The evolution of price discovery in us equity and derivatives markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(9), pages 1122-1136, September.
    13. Anatoliy Swishchuk & Aiden Huffman, 2018. "General Compound Hawkes Processes in Limit Order Books," Papers 1812.02298, arXiv.org.
    14. Anatoliy Swishchuk, 2017. "General Compound Hawkes Processes in Limit Order Books," Papers 1706.07459, arXiv.org, revised Jun 2017.
    15. Riccardo Poli & Marco Taboga, 2021. "A composite indicator of sovereign bond market liquidity in the euro area," Questioni di Economia e Finanza (Occasional Papers) 663, Bank of Italy, Economic Research and International Relations Area.
    16. Jeremy Large, 2005. "Estimating quadratic variation when quoted prices jump by a constant increment," Economics Papers 2005-W05, Economics Group, Nuffield College, University of Oxford.
    17. Robert Brooks & Edwyna Harris & Yovina Joymungul, 2009. "Market depth in an illiquid market: applying the VNET concept to Victorian water markets," Applied Economics Letters, Taylor & Francis Journals, vol. 16(13), pages 1361-1364.
    18. Berry-Stölzle, Thomas R., 2008. "The impact of illiquidity on the asset management of insurance companies," Insurance: Mathematics and Economics, Elsevier, vol. 43(1), pages 1-14, August.
    19. Bien, Katarzyna & Nolte, Ingmar & Pohlmeier, Winfried, 2006. "Estimating liquidity using information on the multivariate trading process," CoFE Discussion Papers 06/04, University of Konstanz, Center of Finance and Econometrics (CoFE).
    20. Bianconi, Marcelo & Yoshino, Joe A., 2012. "Firm Market Performance and Volatility in a National Real Estate Sector," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 230-253.
    21. Borgy, V. & Idier, J. & Le Fol, G., 2010. "Liquidity problems in the FX liquid market: Ask for the "BIL"," Working papers 279, Banque de France.
    22. David Allen & Shelton Peiris & Joey Wenling Yang, 2005. "An Examination of the Role of Time and its Impact on Price Revision," Australian Journal of Management, Australian School of Business, vol. 30(2), pages 283-301, December.
    23. Large, Jeremy, 2007. "Measuring the resiliency of an electronic limit order book," Journal of Financial Markets, Elsevier, vol. 10(1), pages 1-25, February.
    24. Yang, Joey Wenling, 2011. "Transaction duration and asymmetric price impact of trades--Evidence from Australia," Journal of Empirical Finance, Elsevier, vol. 18(1), pages 91-102, January.
    25. Hafner, Christian & Walders, Fabian, 2017. "Heterogeneous Liquidity Effects in Corporate Bond Spreads," LIDAM Reprints ISBA 2017037, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    26. Gbenga Ibikunle & Davide Mare & Yuxin Sun, 2020. "The paradoxical effects of market fragmentation on adverse selection risk and market efficiency," The European Journal of Finance, Taylor & Francis Journals, vol. 26(14), pages 1439-1461, September.
    27. Georges Dionne & Xiaozhou Zhou, 2020. "The dynamics of ex-ante weighted spread: an empirical analysis," Quantitative Finance, Taylor & Francis Journals, vol. 20(4), pages 593-617, April.
    28. Fernandes, Marcelo & Barros, Carlos Felipe, 2014. "Market Depth at the BM&FBovespa," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 34(1), March.
    29. Anatoliy Swishchuk, 2021. "Modelling of Limit Order Books by General Compound Hawkes Processes with Implementations," Methodology and Computing in Applied Probability, Springer, vol. 23(1), pages 399-428, March.
    30. Frijns, Bart & Indriawan, Ivan & Tourani-Rad, Alireza, 2015. "Macroeconomic news announcements and price discovery: Evidence from Canadian–U.S. cross-listed firms," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 35-48.
    31. Roberto Pascual & Alvaro Escribano & Mikel Tapia, 2004. "On the bi-dimensionality of liquidity," The European Journal of Finance, Taylor & Francis Journals, vol. 10(6), pages 542-566.
    32. R. Krishnan & Vinod Mishra, 2012. "Intraday Liquidity Patterns in Indian Stock Market," Monash Economics Working Papers 34-12, Monash University, Department of Economics.
    33. Emna Rouetbi & Chokri Mamoghli, 2014. "Measuring Liquidity in an Emerging Market: The Tunis Stock Exchange," International Journal of Economics and Financial Issues, Econjournals, vol. 4(4), pages 920-929.
    34. Frank, Julieta & Garcia, Philip, 2008. "Market Depth in Lean Hog and Live Cattle Futures Markets," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37613, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    35. Levent C. Uslu & Burak Evre, 2017. "Liquidity Adjusted Value At Risk: Integrating The Uncertainty In Depth And Tightness," Eurasian Journal of Business and Management, Eurasian Publications, vol. 5(1), pages 55-69.
    36. Pham, Manh Cuong & Anderson, Heather Margot & Duong, Huu Nhan & Lajbcygier, Paul, 2020. "The effects of trade size and market depth on immediate price impact in a limit order book market," Journal of Economic Dynamics and Control, Elsevier, vol. 120(C).

  47. Engle, Robert, 2001. "Financial econometrics - A new discipline with new methods," Journal of Econometrics, Elsevier, vol. 100(1), pages 53-56, January.

    Cited by:

    1. Massimo Guidolin, 2007. "A Review of: “Book Review: Empirical Dynamic Asset Pricing”," Econometric Reviews, Taylor & Francis Journals, vol. 26(5), pages 597-604.
    2. Oliver Linton & Dajing Shang & Yang Yan, 2012. "Efficient estimation of conditional risk measures in a semiparametric GARCH model," CeMMAP working papers 25/12, Institute for Fiscal Studies.
    3. Carnero, María Ángeles & Peña, Daniel & Ruiz Ortega, Esther, 2001. "Outliers and conditional autoregressive heteroscedasticity in time series," DES - Working Papers. Statistics and Econometrics. WS ws010704, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Elena Andreou & Eric Ghysels, 2003. "Test for Breaks in the Conditional Co-Movements of Asset Returns," University of Cyprus Working Papers in Economics 3-2003, University of Cyprus Department of Economics.
    5. Feng, Yuanhua, 2006. "A local dynamic conditional correlation model," MPRA Paper 1592, University Library of Munich, Germany.
    6. Oliver Linton & Dajing Shang & Yang Yan, 2012. "Efficient estimation of conditional risk measures in a semiparametric GARCH model," CeMMAP working papers CWP25/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Gao, Jiti, 2007. "Nonlinear time series: semiparametric and nonparametric methods," MPRA Paper 39563, University Library of Munich, Germany, revised 01 Sep 2007.
    8. Philip Hans Franses & Michael McAleer, 2002. "Financial volatility: an introduction," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 419-424.
    9. Riascos, Julio César & Munoz, Jesus Enrique Molina, 2016. "Breves consideraciones acerca de la importancia de los árboles de decisión en el análisis de carteras," Revista Tendencias, Universidad de Narino, vol. 17(1), pages 11-33, January.
    10. Alva, Kenedy & Romo, Juan & Ruiz Ortega, Esther, 2009. "Modelling intra-daily volatility by functional data analysis: an empirical application to the spanish stock market," DES - Working Papers. Statistics and Econometrics. WS ws092809, Universidad Carlos III de Madrid. Departamento de Estadística.
    11. Pascual, Lorenzo & Romo, Juan & Ruiz, Esther, 2006. "Bootstrap prediction for returns and volatilities in GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2293-2312, May.

  48. R. F. Engle & A. J. Patton, 2001. "What good is a volatility model?," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 237-245.

    Cited by:

    1. Josselin Garnier & Knut Sølna, 2018. "Option pricing under fast-varying and rough stochastic volatility," Annals of Finance, Springer, vol. 14(4), pages 489-516, November.
    2. Tseng, Jie-Jun & Li, Sai-Ping, 2011. "Asset returns and volatility clustering in financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(7), pages 1300-1314.
    3. Ralf Remer & Reinhard Mahnke, 2004. "Application of the heston and hull-white models to german dax data," Quantitative Finance, Taylor & Francis Journals, vol. 4(6), pages 685-693.
    4. Xue, Wen-Jun & Zhang, Li-Wen, 2017. "Stock return autocorrelations and predictability in the Chinese stock market—Evidence from threshold quantile autoregressive models," Economic Modelling, Elsevier, vol. 60(C), pages 391-401.
    5. Fernando F. Ferreira & A. Christian Silva & Ju-Yi Yen, 2019. "Detailed study of a moving average trading rule," Papers 1907.00212, arXiv.org.
    6. Tim Bollerslev, 2008. "Glossary to ARCH (GARCH)," CREATES Research Papers 2008-49, Department of Economics and Business Economics, Aarhus University.
    7. Paolo Girardello & Orietta Nicolis & Giovanni Tondini, 2003. "Comparing Conditional Variance Models: Theory and Empirical Evidence," Multinational Finance Journal, Multinational Finance Journal, vol. 7(3-4), pages 177-206, September.
    8. Zhao, Pan & Pan, Jian & Yue, Qin & Zhang, Jinbo, 2021. "Pricing of financial derivatives based on the Tsallis statistical theory," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    9. Long H. Vo, 2017. "Estimating Financial Volatility with High-Frequency Returns," Journal of Finance and Economics Research, Geist Science, Iqra University, Faculty of Business Administration, vol. 2(2), pages 84-114, October.
    10. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
    11. Sabur Mollah & Asma Mobarek, 2009. "Market volatility across countries – evidence from international markets," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 26(4), pages 257-274, October.
    12. Kuang-Liang Chang & Charles Ka Yui Leung, 2021. "How did the asset markets change after the Global Financial Crisis?," GRU Working Paper Series GRU_2021_004, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    13. Lúcio, Francisco & Caiado, Jorge, 2022. "COVID-19 and Stock Market Volatility: A Clustering Approach for S&P 500 Industry Indices," Finance Research Letters, Elsevier, vol. 49(C).
    14. Covarrubias, Guillermo & Ewing, Bradley T. & Hein, Scott E. & Thompson, Mark A., 2006. "Modeling volatility changes in the 10-year Treasury," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 369(2), pages 737-744.
    15. Szubzda Filip & Chlebus Marcin, 2019. "Comparison of Block Maxima and Peaks Over Threshold Value-at-Risk models for market risk in various economic conditions," Central European Economic Journal, Sciendo, vol. 6(53), pages 70-85, January.
    16. Haakon Kavli & Kevin Kotzé, 2014. "Spillovers in Exchange Rates and the Effects of Global Shocks on Emerging Market Currencies," South African Journal of Economics, Economic Society of South Africa, vol. 82(2), pages 209-238, June.
    17. Han, Heejoon & Park, Joon Y., 2006. "Time series properties of ARCH processes with persistent covariates," MPRA Paper 5199, University Library of Munich, Germany.
    18. Kejin Wu & Sayar Karmakar, 2023. "A model-free approach to do long-term volatility forecasting and its variants," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-38, December.
    19. R. Vilela Mendes & M. J. Oliveira & A. M. Rodrigues, 2012. "The fractional volatility model: No-arbitrage, leverage and completeness," Papers 1205.2866, arXiv.org.
    20. Olivier Habimana, 2017. "Do flexible exchange rates facilitate external adjustment? A dynamic approach with time-varying and asymmetric volatility," International Economics and Economic Policy, Springer, vol. 14(4), pages 625-642, October.
    21. Keith Pilbeam & Kjell Langeland, 2015. "Forecasting exchange rate volatility: GARCH models versus implied volatility forecasts," International Economics and Economic Policy, Springer, vol. 12(1), pages 127-142, March.
    22. Michèle Breton & Javier de Frutos, 2010. "Option Pricing Under GARCH Processes Using PDE Methods," Operations Research, INFORMS, vol. 58(4-part-2), pages 1148-1157, August.
    23. Tseng, Jie-Jun & Li, Sai-Ping, 2012. "Quantifying volatility clustering in financial time series," International Review of Financial Analysis, Elsevier, vol. 23(C), pages 11-19.
    24. BOUSALAM, Issam & HAMZAOUI, Moustapha, 2016. "Impact of Ethical Screening on Risk and Returns: the Case of Constructed Moroccan Islamic Stock Indexes," MPRA Paper 68979, University Library of Munich, Germany.
    25. Hu, Shuowen & Poskitt, D.S. & Zhang, Xibin, 2021. "Bayesian estimation for a semiparametric nonlinear volatility model," Economic Modelling, Elsevier, vol. 98(C), pages 361-370.
    26. Benjamin R. Auer & Benjamin Mögel, 2016. "How Accurate are Modern Value-at-Risk Estimators Derived from Extreme Value Theory?," CESifo Working Paper Series 6288, CESifo.
    27. Mendes, Rui Vilela & Oliveira, Maria J., 2008. "A Data-Reconstructed Fractional Volatility Model," Economics Discussion Papers 2008-22, Kiel Institute for the World Economy (IfW Kiel).
    28. Evzen Kocenda & Lubos Briatka, 2004. "Advancing the iid Test Based on Integration across the Correlation Integral: Ranges, Competition, and Power," Econometrics 0409001, University Library of Munich, Germany.
    29. Alexander Philipov & Mark Glickman, 2006. "Factor Multivariate Stochastic Volatility via Wishart Processes," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 311-334.
    30. Wing-Choong Lai & Kim-Leng Goh, 2021. "Dependence Structure Between Renminbi Movements and Volatility of Foreign Exchange Rate Returns," China Report, , vol. 57(1), pages 57-78, February.
    31. Dovonon, Prosper, 2008. "Conditionally heteroskedastic factor models with skewness and leverage effects," MPRA Paper 40206, University Library of Munich, Germany, revised Feb 2012.
    32. Qadan, Mahmoud & Zoua’bi, Maher, 2019. "Financial attention and the demand for information," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 82(C).
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    34. GIOT, Pierre & LAURENT, Sébastien, 2003. "Value-at-Risk for long and short trading positions," LIDAM Reprints CORE 1707, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    35. Bai, Ye & Green, Christopher J., 2010. "International diversification strategies: Revisited from the risk perspective," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 236-245, January.
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    37. Victor Olkhov, 2020. "Price, Volatility and the Second-Order Economic Theory," Papers 2009.14278, arXiv.org, revised Apr 2021.
    38. Guidi, Francesco, 2008. "Volatility and Long Term Relations in Equity Markets: Empirical Evidence from Germany, Switzerland, and the UK," MPRA Paper 11535, University Library of Munich, Germany.
    39. Frank, Johannes, 2023. "Forecasting realized volatility in turbulent times using temporal fusion transformers," FAU Discussion Papers in Economics 03/2023, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    40. Lorde, Troy & Moore, Winston, 2006. "Modeling and Forecasting the Volatility of Long-stay Tourist Arrivals," MPRA Paper 95599, University Library of Munich, Germany.
    41. Markus Hertrich, 2022. "Foreign exchange interventions under a minimum exchange rate regime and the Swiss franc," Review of International Economics, Wiley Blackwell, vol. 30(2), pages 450-489, May.
    42. Bachar Fakhry & Christian Richter, 2018. "Does the Federal Constitutional Court Ruling Mean the German Financial Market is Efficient?," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 4(2), pages 111-125.
    43. Chuo Chang, 2020. "Dynamic correlations and distributions of stock returns on China's stock markets," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(1), pages 1-6.
    44. Beste Hamiye Beyaztas & Ufuk Beyaztas & Soutir Bandyopadhyay & Wei-Min Huang, 2018. "New and Fast Block Bootstrap-Based Prediction Intervals for GARCH(1,1) Process with Application to Exchange Rates," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 80(1), pages 168-194, February.
    45. Asger Lunde & Peter Reinhard Hansen, 2001. "A Forecast Comparison of Volatility Models: Does Anything Beat a GARCH(1,1)?," Working Papers 2001-04, Brown University, Department of Economics.
    46. Ahoniemi, Katja & Lanne, Markku, 2010. "Realized volatility and overnight returns," Bank of Finland Research Discussion Papers 19/2010, Bank of Finland.
    47. Karoll Gómez Portilla & Santiago Gallón Gómez, 2007. "Distribución condicional de los retornos de la tasa de cambio colombiana: un ejercicio empírico a partir de modelos GARCH multivariados," Revista de Economía del Rosario, Universidad del Rosario, December.
    48. Wen-Jun Xue & Li-Wen Zhang, 2016. "Stock Return Autocorrelations and Predictability in the Chinese Stock Market: Evidence from Threshold Quantile Autoregressive Models," Working Papers 1605, Florida International University, Department of Economics.
    49. Carl H. Korkpoe & Peterson Owusu Junior, 2018. "Behaviour of Johannesburg Stock Exchange All Share Index Returns - An Asymmetric GARCH and News Impact Effects Approach," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 68(1), pages 26-42, January-M.
    50. Georgios Bampinas & Konstantinos Ladopoulos & Theodore Panagiotidis, 2017. "A note on the estimated GARCH coefficients from the S&P1500 universe," Discussion Paper Series 2017_04, Department of Economics, University of Macedonia, revised May 2017.
    51. Vo, Long H. & Roberts, Leigh, 2014. "On long memory behaviour and predictability of financial markets," Working Paper Series 18828, Victoria University of Wellington, School of Economics and Finance.
    52. Charles, Amelie & Darne, Olivier, 2006. "Large shocks and the September 11th terrorist attacks on international stock markets," Economic Modelling, Elsevier, vol. 23(4), pages 683-698, July.
    53. Bonga-Bonga, Lumengo, 2015. "Uncovering equity market contagion among BRICS countries: an application of the multivariate GARCH model," MPRA Paper 66262, University Library of Munich, Germany.
    54. Felipe de Oliveira & Sinézio Fernandes Maia, 2017. "Volatility Forecasting before the Subprime Crisis," EcoMod2017 10376, EcoMod.
    55. Li, Xingyi & Zakamulin, Valeriy, 2020. "The term structure of volatility predictability," International Journal of Forecasting, Elsevier, vol. 36(2), pages 723-737.
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    57. H. J. Turtle & Kainan Wang, 2014. "Modeling Conditional Covariances With Economic Information Instruments," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(2), pages 217-236, April.
    58. Szabolcs Blazsek & Anna Downarowicz, 2013. "Forecasting hedge fund volatility: a Markov regime-switching approach," The European Journal of Finance, Taylor & Francis Journals, vol. 19(4), pages 243-275, April.
    59. Vincenzo Candila & Giampiero M. Gallo & Lea Petrella, 2020. "Mixed--frequency quantile regressions to forecast Value--at--Risk and Expected Shortfall," Papers 2011.00552, arXiv.org, revised Mar 2023.
    60. Massimiliano Cecconi & Giampiero M. Gallo & Marco J. Lombardi, 2002. "GARCH-based Volatility Forecasts for Market Volatility Indices," Econometrics Working Papers Archive wp2002_06, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    61. Georgios Bampinas & Theodore Panagiotidis & Christina Rouska, 2018. "Volatility persistence and asymmetry under the microscope: The role of information demand for gold and oil," Working Paper series 18-13, Rimini Centre for Economic Analysis.
    62. Timotheos Angelidis & Alexandros Benos & Stavros Degiannakis, 2007. "A robust VaR model under different time periods and weighting schemes," Review of Quantitative Finance and Accounting, Springer, vol. 28(2), pages 187-201, February.
    63. Yuh-Dauh Lyuu & Chi-Ning Wu, 2005. "On accurate and provably efficient GARCH option pricing algorithms," Quantitative Finance, Taylor & Francis Journals, vol. 5(2), pages 181-198.
    64. Andreas Hadjixenophontos & Christos Christodoulou-Volos, 2017. "Predictability of Foreign Exchange Rates with the AR(1) Model," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 7(4), pages 1-3.
    65. Kun Li & Joseph D. Cursio & Yunchuan Sun, 2018. "Principal Component Analysis of Price Fluctuation in the Smart Grid Electricity Market," Sustainability, MDPI, vol. 10(11), pages 1-16, November.
    66. Andrea Consiglio & Valerio Lacagnina & Annalisa Russino, 2005. "A simulation analysis of the microstructure of an order driven financial market with multiple securities and portfolio choices," Quantitative Finance, Taylor & Francis Journals, vol. 5(1), pages 71-87.
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    68. Eric Hillebrand, 2003. "Overlaying Time Scales and Persistence Estimation in GARCH(1,1) Models," Econometrics 0301003, University Library of Munich, Germany.
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    70. Kaufmann Sylvia & Scheicher Martin, 2006. "A Switching ARCH Model for the German DAX Index," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(4), pages 1-37, December.
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      • BAUWENS, Luc & HAFNER, Christian & LAURENT, Sébastien, 2011. "Volatility models," LIDAM Discussion Papers CORE 2011058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
      • Bauwens, L. & Hafner, C. & Laurent, S., 2012. "Volatility Models," LIDAM Reprints ISBA 2012028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    79. Refai, Hisham Al & Zeitun, Rami & Eissa, Mohamed Abdel-Aziz, 2022. "Impact of global health crisis and oil price shocks on stock markets in the GCC," Finance Research Letters, Elsevier, vol. 45(C).
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    2. Juan J. Dolado & Ramón María‐Dolores, 2002. "Evaluating changes in the Bank of Spain's interest rate target: an alternative approach using marked point processes," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(2), pages 159-182, May.
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    4. Gutierrez, Carlos Enrique Carrasco & Souza, Reinaldo Castro & Guillén, Osmani Teixeira de Carvalho, 2009. "Selection of Optimal Lag Length in Cointegrated VAR Models with Weak Form of Common Cyclical Features," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 29(1), May.
    5. Marco Centoni & Gianluca Cubadda, 2015. "Common Feature Analysis of Economic Time Series: An Overview and Recent Developments," CEIS Research Paper 355, Tor Vergata University, CEIS, revised 05 Oct 2015.
    6. Hecq, A.W. & Issler, J.V., 2012. "A common-feature approach for testing present-value restrictions with financial data," Research Memorandum 006, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
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    29. Mont'Alverne Duarte, Angelo & Gaglianone, Wagner Piazza & de Carvalho Guillén, Osmani Teixeira & Issler, João Victor, 2021. "Commodity prices and global economic activity: A derived-demand approach," Energy Economics, Elsevier, vol. 96(C).
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    1. Priya Malhotra & Pankaj Sinha, 2024. "Balanced Funds in India Amid COVID-19 Crisis: Spreader of Financial Contagion?," IIM Kozhikode Society & Management Review, , vol. 13(1), pages 7-24, January.
    2. Massimiliano Serati & Matteo Manera & Michele Plotegher, 2008. "Modelling electricity prices: from the state of the art to a draft of a new proposal," LIUC Papers in Economics 210, Cattaneo University (LIUC).
    3. Alethea Rea & William Rea & Marco Reale & Carl Scarrott, 2012. "A comparison of Spillover Effects before, during and after the 2008 Financial Crisis," Working Papers in Economics 12/03, University of Canterbury, Department of Economics and Finance.
    4. Kyritsis, Evangelos & Serletis, Apostolos, 2017. "The Zero Lower Bound and Market Spillovers: Evidence from the G7 and Norway," Discussion Papers 2017/7, Norwegian School of Economics, Department of Business and Management Science.
    5. Sébastien Laurent & Jeroen V.K. Rombouts & Francesco Violante, 2010. "On the Forecasting Accuracy of Multivariate GARCH Models," Cahiers de recherche 1021, CIRPEE.
    6. Elias Papaioannou & Richard Portes & Gregorios Siourounis, 2006. "Optimal Currency Shares in International Reserves: The Impact of the Euro and the Prospects for the Dollar," NBER Working Papers 12333, National Bureau of Economic Research, Inc.
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    1. Bisaglia, Luisa & Guegan, Dominique, 1998. "A comparison of techniques of estimation in long-memory processes," Computational Statistics & Data Analysis, Elsevier, vol. 27(1), pages 61-81, March.
    2. Per Frederiksen & Morten Orregaard Nielsen, 2008. "Bias-Reduced Estimation of Long-Memory Stochastic Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 6(4), pages 496-512, Fall.
    3. Johann Lussange & Ivan Lazarevich & Sacha Bourgeois-Gironde & Stefano Palminteri & Boris Gutkin, 2021. "Modelling Stock Markets by Multi-agent Reinforcement Learning," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 113-147, January.
    4. Assaf, Ata, 2016. "MENA stock market volatility persistence: Evidence before and after the financial crisis of 2008," Research in International Business and Finance, Elsevier, vol. 36(C), pages 222-240.
    5. Christian Walter, 2020. "Sustainable Financial Risk Modelling Fitting the SDGs: Some Reflections," Sustainability, MDPI, vol. 12(18), pages 1-28, September.
    6. Evans, Kevin P. & Speight, Alan E.H., 2010. "Intraday periodicity, calendar and announcement effects in Euro exchange rate volatility," Research in International Business and Finance, Elsevier, vol. 24(1), pages 82-101, January.
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    1. Trenkler, Carsten & Weber, Enzo, 2012. "Identifying the Shocks behind Business Cycle Asynchrony in Euroland," University of Regensburg Working Papers in Business, Economics and Management Information Systems 466, University of Regensburg, Department of Economics.
    2. Athanasopoulos, George & Guillen, Osmani Teixeira Carvalho & Issler, João Victor & Vahid, Farshid, 2011. "Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 713, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    3. Robert F. Engle & Joao Victor Issler, 1993. "Estimating Sectoral Cycles Using Cointegration and Common Features," NBER Working Papers 4529, National Bureau of Economic Research, Inc.
    4. Onour, Ibrahim, 2010. "Crude Oil Prices and Stock Markets in Major Oil Exporting Countries: Evidence on Decoupling Feature," MPRA Paper 23334, University Library of Munich, Germany.
    5. João Victor Issler & Hilton Hostalacio Notini & Claudia Fontoura Rodrigues, 2013. "Constructing coincident and leading indices of economic activity for the Brazilian economy," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2012(2), pages 43-65.
    6. James M. Nason & George A. Slotsve, 2004. "Along the New Keynesian Phillips curve with nominal and real rigidities," FRB Atlanta Working Paper 2004-9, Federal Reserve Bank of Atlanta.
    7. Serletis, Apostolos & Rangel-Ruiz, Ricardo, 2004. "Testing for common features in North American energy markets," Energy Economics, Elsevier, vol. 26(3), pages 401-414, May.
    8. Giorgio Calcagnini & Germana Giombini & Giuseppe Travaglini, 2021. "The Productivity Gap Among Major European Countries, USA and Japan," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 7(1), pages 59-78, March.
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    8041. Santos LÓPEZ-LEYVA & Miriam Liliana CASTILLO-ARCE & José David LEDEZMA-TORRES & Jesús Armando RÍOS-FLORES, 2014. "Economic Growth from a Theoretical Perspective of Knowledge Economy: An Empirical Analysis for Mexico," Management Dynamics in the Knowledge Economy, College of Management, National University of Political Studies and Public Administration, vol. 2(5), pages 217-239, August.
    8042. Kopp, Thomas & Alamsyah, Zulkifli & Fatricia, Raja Sharah & Brümmer, Bernhard, 2014. "Have Indonesian Rubber Processors Formed a Cartel? Analysis of Intertemporal Marketing Margin Manipulation," EFForTS Discussion Paper Series 3, University of Goettingen, Collaborative Research Centre 990 "EFForTS, Ecological and Socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems (Sumatra, Indonesia)".
    8043. Mohammad Mazharul Islam & Mohammad Nazrul Islam Mondal & Haitham Khoj, 2023. "Effects of Health Factors on GDP Growth: Empirical Evidence from Saudi Arabia," Sustainability, MDPI, vol. 15(11), pages 1-22, May.
    8044. Armeanu, Daniel Stefan & Joldes, Camelia Catalina & Gherghina, Stefan Cristian & Andrei, Jean Vasile, 2021. "Understanding the multidimensional linkages among renewable energy, pollution, economic growth and urbanization in contemporary economies: Quantitative assessments across different income countries’ g," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
    8045. Dias, Rui & da Silva, Jacinto Vidigal & Dionísio, Andreia, 2019. "Financial markets of the LAC region: Does the crisis influence the financial integration?," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 160-173.
    8046. Maha Kalai & Nahed Zghidi, 2019. "Foreign Direct Investment, Trade, and Economic Growth in MENA Countries: Empirical Analysis Using ARDL Bounds Testing Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 397-421, March.
    8047. Nini Johana Marín-Rodríguez & Juan David González-Ruiz & Sergio Botero Botero, 2022. "Dynamic Co-Movements among Oil Prices and Financial Assets: A Scientometric Analysis," Sustainability, MDPI, vol. 14(19), pages 1-26, October.
    8048. Ghafar, Nurul & Masih, Mansur, 2016. "Determinants of unemployment rate in an open economy: Malaysian evidence," MPRA Paper 109916, University Library of Munich, Germany.
    8049. Ke Yao & Xiao-Ping Zheng, 2016. "A Comparison of Market Integration in Nineteenth-Century China and Japan," Australian Economic History Review, Economic History Society of Australia and New Zealand, vol. 56(3), pages 246-271, November.
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    8051. Huisman, K.J.M. & Kort, P.M. & Plasmans, J.E.J., 2007. "Investment in High-Tech Industries : An Example from the LCD Industry," Other publications TiSEM c5178ef4-6308-4d80-9f69-d, Tilburg University, School of Economics and Management.
    8052. Mirdala, Rajmund, 2011. "Financial Integration and Economic Growth in the European Transition Economies," MPRA Paper 36695, University Library of Munich, Germany.
    8053. Guglielmo Maria Caporale & Gloria Claudio-Quiroga & Luis A. Gil-Alana, 2021. "Analysing the relationship between CO2 emissions and GDP in China: a fractional integration and cointegration approach," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-16, December.
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    8056. Elsadig Musa Ahmed & Geeta Krishnasamy, 2012. "Telecommunications investment and economic growth in ASEAN5: An assessment from UECM," New Zealand Economic Papers, Taylor & Francis Journals, vol. 46(3), pages 315-332, December.
    8057. Tran Van Hoa, 2004. "Australia-Thailand Free Trade Agreement: Challenges and Opportunities for Bilateral Trade Policy and Closer Economic Relations," Economics Working Papers wp04-12, School of Economics, University of Wollongong, NSW, Australia.
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    8059. Muinde Patrick Mumo, 2017. "Effects of Macroeconomic Volatility on Stock Prices in Kenya: A Cointegration Evidence from the Nairobi Securities Exchange (NSE)," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(2), pages 1-14, February.
    8060. Tang, Chor-Foon & Lau, Evan, 2011. "The Behaviour of Disaggregated Public Expenditures and Income in Malaysia," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 7(1-2), pages 1-13, March.
    8061. Nnaemeka Vincent Emodi & Taha Chaiechi & ABM Rabiul Alam Beg, 2018. "The impact of climate change on electricity demand in Australia," Energy & Environment, , vol. 29(7), pages 1263-1297, November.
    8062. Muhammad Kamran Khan & Jian-Zhou Teng & Muhammad Imran Khan, 2019. "Cointegration between macroeconomic factors and the exchange rate USD/CNY," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-15, December.
    8063. Apergis, Nicholas & Carmona-González, Nieves & Gil-Alana, Luis Alberiko, 2020. "Persistence in silver prices and the influence of solar energy," Resources Policy, Elsevier, vol. 69(C).
    8064. Assa, Maganga & Abdi, Edriss K., 2012. "Selected Macroeconomic Variables Affecting Private Investment in Malawi," MPRA Paper 40698, University Library of Munich, Germany.
    8065. Muhammad Irfan CHANI & Zahid PERVAIZ & Amatul R. CHAUDHARY, 2011. "Determination of Import Demand in Pakistan: The Role of Expenditure Components," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(8(561)), pages 93-110, August.
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    8067. Sheng-Ping Yang, 2018. "Entry and Exit Decisions with Switching Regime Excess Capacity," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 24(4), pages 351-369, November.
    8068. Benjamin Tabak, 2009. "Testing the expectations hypothesis in the Brazilian term structure of interest rates: a cointegration analysis," Applied Economics, Taylor & Francis Journals, vol. 41(21), pages 2681-2689.
    8069. Sinha, Avik & Mishra, Shekhar & Sharif, Arshian & Yarovaya, Larisa, 2021. "Does Green Financing help to improve the Environmental & Social Responsibility? Designing SDG framework through Advanced Quantile modelling," MPRA Paper 108150, University Library of Munich, Germany, revised 2021.
    8070. Poitras, Geoffrey, 2018. "The pre-history of econophysics and the history of economics: Boltzmann versus the marginalists," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 89-98.
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    8072. Christensen, Lee A., 2002. "Soil, Nutrient, And Water Management Systems Used In U.S. Corn Production," Agricultural Information Bulletins 33618, United States Department of Agriculture, Economic Research Service.
    8073. Ulrich Gunter & Irem Önder & Stefan Gindl, 2019. "Exploring the predictive ability of LIKES of posts on the Facebook pages of four major city DMOs in Austria," Tourism Economics, , vol. 25(3), pages 375-401, May.
    8074. Zhu, Lichao, 2023. "Comparative evaluation of CO2 emissions from transportation in countries around the world," Journal of Transport Geography, Elsevier, vol. 110(C).
    8075. Mariola Pilatowska & Aneta Wlodarczyk & Marcin Zawada, 2014. "The Environmental Kuznets Curve in Poland - Evidence From Threshold Cointegration Analysis," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 14, pages 51-70.
    8076. Domenico Depalo, 2009. "A seasonal unit-root test with Stata," Stata Journal, StataCorp LP, vol. 9(3), pages 422-438, September.
    8077. Prince, Ehsanur Rauf & Barmon, Basanta Kumar & Islam, Teresa, 2022. "An Investigation into the Spatial Rice Market Integration in Bangladesh: Application of Vector Error Correction Approach," MPRA Paper 115927, University Library of Munich, Germany.
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    8080. Omoshoro-Jones, Oyeyinka Sunday, 2016. "A Cointegration and Causality Test on Government Expenditure –Economic Growth Nexus: Empirical Evidence from a South African Province," MPRA Paper 102085, University Library of Munich, Germany, revised 17 Oct 2017.
    8081. Yousif Khalifa Al-Yousif, 2002. "Defense Spending and Economic Growth: Some Empirical Evidence from the Arab Gulf Region," Defence and Peace Economics, Taylor & Francis Journals, vol. 13(3), pages 187-197.
    8082. Avni Onder Hanedar & Elmas Yaldiz & Ozgul Bilici & Onur Akkaya, 2006. "Long Run Profit Maximization in the Turkish Manufacturing Sector," Discussion Paper Series 06/02, Dokuz Eylül University, Faculty of Business, Department of Economics, revised 30 Nov 2006.
    8083. Seung-Hoon Yoo, 2004. "Public R&D expenditure and private R&D expenditure: a causality analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 11(11), pages 711-714.
    8084. Jiranyakul, Komain, 2022. "Ethanol Use and Gasoline Consumption in Thailand," MPRA Paper 115503, University Library of Munich, Germany.
    8085. Mansor H. Ibrahim, 2007. "Sectoral Effects Of Ringgit Depreciation Shocks," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 32(2), pages 135-156, December.
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    8855. Ihtsham ul Haq PADDA*, 2010. "On Minimizing the Welfare Cost of Fiscal Policy:Pakistan’s Case," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 20, pages 77-99.
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    8885. Ghassan, Hassan B., 2003. "Test de l’effet de stabilisation automatique par la modélisation SVAR sans contrainte de long terme [Testing the Automatic Stabilization Effect: Evidence from SVAR Model without Long-Term Constrain," MPRA Paper 56387, University Library of Munich, Germany, revised 02 Apr 2003.
    8886. Leleng KEBALO, 2016. "South African Exchange Rate After 2000s: An Econometric Investigation," Journal of Economics Bibliography, KSP Journals, vol. 3(3), pages 459-481, September.
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    8890. Weiguang Han & Jimin Huang & Qianqian Xie & Boyi Zhang & Yanzhao Lai & Min Peng, 2023. "Mastering Pair Trading with Risk-Aware Recurrent Reinforcement Learning," Papers 2304.00364, arXiv.org.
    8891. Moayad Al Rasasi & Goblan Algahtani & Abdulrahman Alqahtani, 2017. "The Effects of Global Commodity Prices on Domestic Prices in Saudi Arabia," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 590-594.
    8892. Shahbaz, Muhammad & Syed, Jawad & Kumar, Mantu & Hammoudeh, Shawkat, 2017. "Does globalization worsen environmental quality in developed economies?," MPRA Paper 80055, University Library of Munich, Germany, revised 06 Jul 2017.
    8893. Boris I. Alekhin, 2020. "Tax Smoothing in Russia," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 2, pages 9-24, April.
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    8899. Francis Bismans, 2021. "Une analyse économétrique des déterminants des hospitalisations dues à la Covid-19," Working Papers of BETA 2021-42, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    8900. Luís Ángel Meneses Cerón & Ronald Alejandro Macuacé Otero, 2012. "Contagio financiero entre economías: un análisis exploratorio a través de la econometría. Caso Colombia - Estados Unidos," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 4(2), pages 51-62, December.
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    8904. Temitope Sade , AKINTUNDE & Mathew , ADAGUNODO & Oluwatosin Mary , ADERAJO & Bosede Esther , AKANBI, 2021. "The Effect Of Population And Financial Development On Environmental Health In Nigeria (1980-2019)," Annals of Spiru Haret University, Economic Series, Universitatea Spiru Haret, vol. 21(3), pages 149-165.
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    8926. Li, Xun & Wang, Rui & Lopez, Rigoberto A., 2016. "Energy Shock and Price Adjustment: National Brands vs. Private Labels of Retail Milk Products," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235613, Agricultural and Applied Economics Association.
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    8956. Karabiyik, Hande & Narayan, Paresh Kumar & Phan, Dinh Hoang Bach & Westerlund, Joakim, 2018. "Islamic spot and index futures markets: Where is the price discovery?," Pacific-Basin Finance Journal, Elsevier, vol. 52(C), pages 123-133.
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    1. Richards, Timothy J. & Gao, Xiaoming & Patterson, Paul M., 1998. "Advertising and Retail Promotion of Washington Apples: A Structural Latent Variable Approach to Promotion Evaluation," Working Papers 28547, Arizona State University, Morrison School of Agribusiness and Resource Management.
    2. Case, Karl E & Shiller, Robert J, 1989. "The Efficiency of the Market for Single-Family Homes," American Economic Review, American Economic Association, vol. 79(1), pages 125-137, March.
    3. Liliane Karlinger, 2008. "The Underground Economy in the Late 1990s: Evading Taxes, or Evading Competition?," Vienna Economics Papers vie0802, University of Vienna, Department of Economics.
    4. Francis X. Diebold, 2004. "The Nobel Memorial Prize for Robert F. Engle," Scandinavian Journal of Economics, Wiley Blackwell, vol. 106(2), pages 165-185, June.
    5. Victor Ginsburgh & Jianping Mei & Michael Moses, 2006. "On the computation of art indices in art," ULB Institutional Repository 2013/7290, ULB -- Universite Libre de Bruxelles.
    6. Yongheng Deng & Eric Girardin & Roselyne Joyeux, 2015. "Fundamentals and the Volatility of Real Estate Prices in China: A Sequential Modelling Strategy," Working Papers 222015, Hong Kong Institute for Monetary Research.
    7. Deng, Yongheng & Girardin, Eric & Joyeux, Roselyne, 2018. "Fundamentals and the volatility of real estate prices in China: A sequential modelling strategy," China Economic Review, Elsevier, vol. 48(C), pages 205-222.
    8. Ghysels, Eric & Plazzi, Alberto & Valkanov, Rossen & Torous, Walter, 2013. "Forecasting Real Estate Prices," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 509-580, Elsevier.
    9. Gao, X. & Shonkwiler, J. S., 1991. "Dynamic Taste Change in Meat Demand: An Application of the DYMIMIC Model," 1991 Annual Meeting, August 4-7, Manhattan, Kansas 271247, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2013. "On the Stratonovich – Kalman - Bucy filtering algorithm application for accurate characterization of financial time series with use of state-space model by central banks," MPRA Paper 50235, University Library of Munich, Germany.
    11. Schulz, Rainer & Werwatz, Axel, 2001. "A state space model for Berlin house prices," SFB 373 Discussion Papers 2001,58, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    12. Robyn S. Phillips, 1988. "Unravelling the Residential Rent-Value Puzzle: An Empirical Investigation," Urban Studies, Urban Studies Journal Limited, vol. 25(6), pages 487-496, December.
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    14. Yusep Suparman & Henk Folmer & Johan H.L. Oud, 2016. "The willingness to pay for in-house piped water in urban and rural Indonesia," Papers in Regional Science, Wiley Blackwell, vol. 95(2), pages 407-426, June.
    15. Yusep Suparman & Henk Folmer & Johan Oud, 2014. "Hedonic price models with omitted variables and measurement errors: a constrained autoregression–structural equation modeling approach with application to urban Indonesia," Journal of Geographical Systems, Springer, vol. 16(1), pages 49-70, January.

  90. Watson, Mark W & Engle, Robert F, 1985. "Testing for Regression Coefficient Stability with a Stationary AR(1) Alternative," The Review of Economics and Statistics, MIT Press, vol. 67(2), pages 341-346, May.

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    1. Charles Engel & James D. Hamilton, 1989. "Long Swings in the Exchange Rate: Are they in the Data and Do Markets Know It?," NBER Working Papers 3165, National Bureau of Economic Research, Inc.
    2. Bollerslev, Tim & Engle, Robert F. & Nelson, Daniel B., 1986. "Arch models," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 49, pages 2959-3038, Elsevier.
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    5. Shively, Philip A., 2000. "Stationary time-varying risk premia in forward foreign exchange rates," Journal of International Money and Finance, Elsevier, vol. 19(2), pages 273-288, April.
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    8. Teräsvirta, T. & Lin, C., 1995. "Testing Parameter Constancy In Linear Models Against Stochastic Stationary Parameters," SFB 373 Discussion Papers 1995,28, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
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  91. Robert F. Engle & David F. Hendry & David Trumble, 1985. "Small-Sample Properties of ARCH Estimators and Tests," Canadian Journal of Economics, Canadian Economics Association, vol. 18(1), pages 66-93, February.

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    1. Dufour, Jean-Marie & Khalaf, Lynda & Bernard, Jean-Thomas & Genest, Ian, 2004. "Simulation-based finite-sample tests for heteroskedasticity and ARCH effects," Journal of Econometrics, Elsevier, vol. 122(2), pages 317-347, October.
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    5. Yiu Kuen Tse & Albert K. C. Tsui, 2000. "A Multivariate GARCH Model with Time-Varying Correlations," Econometric Society World Congress 2000 Contributed Papers 0250, Econometric Society.
    6. LeBaron, Blake, 2003. "Non-Linear Time Series Models in Empirical Finance,: Philip Hans Franses and Dick van Dijk, Cambridge University Press, Cambridge, 2000, 296 pp., Paperback, ISBN 0-521-77965-0, $33, [UK pound]22.95, [," International Journal of Forecasting, Elsevier, vol. 19(4), pages 751-752.
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    1. Gomes, Fábio Augusto Reis & Ribeiro, Priscila Fernandes, 2015. "Estimating the elasticity of intertemporal substitution taking into account the precautionary savings motive," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 108-123.
    2. Krishnakumar, Jaya & Kabili, Andi & Roko, Ilir, 2012. "Estimation of SEM with GARCH errors," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3153-3181.
    3. Bersimis, Sotirios & Degiannakis, Stavros & Georgakellos, Dimitrios, 2015. "Real Time Monitoring of Carbon Monoxide Using Value-at-Risk Measure and Control Charting," MPRA Paper 65865, University Library of Munich, Germany.
    4. Chen, Jing & Dong, Yizhe & Hou, Wenxuan & McMillan, David G., 2018. "Does feedback trading drive returns of cross-listed shares?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 53(C), pages 179-199.
    5. Suliman Zakaria S. Abdalla, 2014. "The Impact of Oil Price Fluctuations on the Sudanese Stock Market Performance," Working Papers 887, Economic Research Forum, revised Dec 2014.
    6. Eduardo Ramos-Pérez & Pablo J. Alonso-González & José Javier Núñez-Velázquez, 2021. "Multi-Transformer: A New Neural Network-Based Architecture for Forecasting S&P Volatility," Mathematics, MDPI, vol. 9(15), pages 1-18, July.
    7. Zintle Twala & Riza Demirer & Rangan Gupta, 2018. "Does Liquidity Risk Explain the Time-Variation in Asset Correlations? Evidence from Stocks, Bonds and Commodities," Working Papers 201808, University of Pretoria, Department of Economics.
    8. Guidi, Francesco & Ugur, Mehmet, 2012. "Are South East Europe stock markets integrated with regional and global stock markets?," MPRA Paper 44133, University Library of Munich, Germany, revised Dec 2012.
    9. Mustofa Usman & M. Komarudin & Nurhanurawati Nurhanurawati & Edwin Russel & Ahmad Sidiq & Warsono Warsono & F. A.M Elfaki, 2023. "Dynamic Modeling and Analysis of Some Energy Companies of Indonesia Over the Year 2018 to 2022 By Using VAR(p)-CCC GARCH(r,s) Model: -," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 542-554, July.
    10. Chan Guk Huh, 1998. "Forecasting industrial production using models with business cycle asymmetry," Economic Review, Federal Reserve Bank of San Francisco, pages 29-41.
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    12. E. Ramos-P'erez & P. J. Alonso-Gonz'alez & J. J. N'u~nez-Vel'azquez, 2020. "Forecasting volatility with a stacked model based on a hybridized Artificial Neural Network," Papers 2006.16383, arXiv.org, revised Aug 2020.
    13. M. Angeles Carnero Fernández & M. Hakan Eratalay, 2012. "Estimating VAR-MGARCH models in multiple steps," Working Papers. Serie AD 2012-10, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    14. Ruili Sun & Tiefeng Ma & Shuangzhe Liu & Milind Sathye, 2019. "Improved Covariance Matrix Estimation for Portfolio Risk Measurement: A Review," JRFM, MDPI, vol. 12(1), pages 1-34, March.
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    16. Adams, Zeno & Glück, Thorsten, 2013. "Financialization in Commodity Markets: Disentangling the Crisis from the Style Effect," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79949, Verein für Socialpolitik / German Economic Association.
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    21. Pedro Raffy Vartanian, 2020. "Volatility transmission between commodities and Ibovespa in the period 2000–2016: Is there a possibility of diversification?," International Economics and Economic Policy, Springer, vol. 17(2), pages 483-501, May.
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    42. Eduardo Ramos-P'erez & Pablo J. Alonso-Gonz'alez & Jos'e Javier N'u~nez-Vel'azquez, 2021. "Multi-Transformer: A New Neural Network-Based Architecture for Forecasting S&P Volatility," Papers 2109.12621, arXiv.org.
    43. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
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    6. Neil Karunaratne, 1997. "High-Tech Innovation, Growth and Trade Dynamics in Australia," Open Economies Review, Springer, vol. 8(2), pages 151-170, April.
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    1. Svend Hylleberg, 2006. "Seasonal Adjustment," Economics Working Papers 2006-04, Department of Economics and Business Economics, Aarhus University.
    2. Feng Zhu, 2005. "The fragility of the Phillips curve: A bumpy ride in the frequency domain," BIS Working Papers 183, Bank for International Settlements.
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    4. Frank Schorfheide & Francis X. Diebold & Marco Del Negro, 2008. "Priors from Frequency-Domain Dummy Observations," 2008 Meeting Papers 310, Society for Economic Dynamics.
    5. Feng Zhu, 2016. "Understanding the changing equilibrium real interest rates in Asia-Pacific," BIS Working Papers 567, Bank for International Settlements.
    6. Jeremy Berkowitz, "undated". "Generalized Spectral Estimation," Finance and Economics Discussion Series 1996-37, Board of Governors of the Federal Reserve System (U.S.), revised 10 Dec 2019.
    7. Robert F. Engle, 1980. "Hypothesis Testing in Spectral Regression; the Lagrange Multiplier Test as a Regression Diagnostic," NBER Chapters, in: Evaluation of Econometric Models, pages 309-321, National Bureau of Economic Research, Inc.
    8. Kemme, David M. & McInish, Thomas H. & Zhang, Jiang, 2022. "Market fairness and efficiency: Evidence from the Tokyo Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 134(C).
    9. Berkowitz, Jeremy, 2001. "Generalized spectral estimation of the consumption-based asset pricing model," Journal of Econometrics, Elsevier, vol. 104(2), pages 269-288, September.
    10. Petar Kurecic & Filip Kokotovic, 2017. "Examining the "Natural Resource Curse" and the Impact of Various Forms of Capital in Small Tourism and Natural Resource-Dependent Economies," Economies, MDPI, vol. 5(1), pages 1-24, February.
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    5. Kapeller, Rudolf & Cohen, Jed J. & Kollmann, Andrea & Reichl, Johannes, 2023. "Incentivizing residential electricity consumers to increase demand during periods of high local solar generation," Energy Economics, Elsevier, vol. 127(PA).
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    7. Andreas V. Stokke & Gerard L. Doorman & Torgeir Ericson, 2009. "An Analysis of a Demand Charge Electricity Grid Tariff in the Residential Sector," Discussion Papers 574, Statistics Norway, Research Department.
    8. Torgeir Ericson, 2006. "Direct load control of residential water heaters," Discussion Papers 479, Statistics Norway, Research Department.
    9. Christian Huurman & Francesco Ravazzolo & Chen Zhou, 2007. "The Power of Weather: Some Empirical Evidence on Predicting Day-ahead Power Prices through Day-ahead Weather Forecasts," Tinbergen Institute Discussion Papers 07-036/4, Tinbergen Institute.

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    1. Fatum, Rasmus & Yamamoto, Yohei & Zhu, Guozhong, 2017. "Is the Renminbi a safe haven?," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 189-202.
    2. Feng Zhu, 2005. "The fragility of the Phillips curve: A bumpy ride in the frequency domain," BIS Working Papers 183, Bank for International Settlements.
    3. Wei Yanfeng, 2013. "The Dynamic Relationships between Oil Prices and the Japanese Economy: A Frequency Domain Analysis," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 57-67, May.
    4. Anthony N. Rezitis, 2018. "Empirical analysis of price relations along the Finnish supply chain of selected meat, dairy, and egg products: A dynamic panel data approach," Agribusiness, John Wiley & Sons, Ltd., vol. 34(3), pages 542-561, June.
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    6. Pierre Perron & Yohei Yamamoto, 2011. "Estimating and Testing Multiple Structural Changes in Linear Models Using Band Spectral Regressions," Boston University - Department of Economics - Working Papers Series WP2011-049, Boston University - Department of Economics.
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    10. Muhammad, Shahbaz & Kumar, A.T.K. & Mohammad, Iqbal Tahir, 2012. "Does CPI Granger-Cause WPI? New Extensions from Frequency Domain Approach in Pakistan," MPRA Paper 38816, University Library of Munich, Germany, revised 14 May 2012.
    11. Jinho Choi & Juan Carlos Escanciano & Junjie Guo, 2022. "Generalized band spectrum estimation with an application to the New Keynesian Phillips curve," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 1055-1078, August.
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    13. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Money growth, output gaps and inflation at low and high frequency: Spectral estimates for Switzerland," Journal of Economic Dynamics and Control, Elsevier, vol. 32(2), pages 411-435, February.
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    15. Benati, Luca, 2001. "Some empirical evidence on the 'discouraged worker' effect," Economics Letters, Elsevier, vol. 70(3), pages 387-395, March.
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    19. Emmanuel Anoruo & Vasudeva N. R. Murthy, 2017. "An examination of the REIT return–implied volatility relation: a frequency domain approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(3), pages 581-594, July.
    20. Hau, Harald, 2001. "Geographic patterns of trading profitability in Xetra," European Economic Review, Elsevier, vol. 45(4-6), pages 757-769, May.
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    22. Guglielmo Maria Caporale & Margarita Katsimi & Nikitas Pittis, 2002. "Causality Links between Consumer and Producer Prices: Some Empirical Evidence," Southern Economic Journal, John Wiley & Sons, vol. 68(3), pages 703-711, January.
    23. Nicholas Apergis & Anthony Rezitis, 2003. "Mean spillover effects in agricultural prices: The case of Greece," Agribusiness, John Wiley & Sons, Ltd., vol. 19(4), pages 425-437.
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    Cited by:

    1. Robert S. Chirinko & Debdulal Mallick, 2014. "The Substitution Elasticity, Factor Shares, Long-Run Growth, and the Low-Frequency Panel Model," CESifo Working Paper Series 4895, CESifo.
    2. James M. Poterba & Lawrence H. Summers, 1981. "Dividend Taxes, Corporate Investment, and "Q"," NBER Working Papers 0829, National Bureau of Economic Research, Inc.
    3. Kilponen, Juha & Verona, Fabio, 2016. "Testing the Q theory of investment in the frequency domain," Bank of Finland Research Discussion Papers 32/2016, Bank of Finland.
    4. Sherwin Rosen & Robert H. Topel, 1986. "A Time-Series Model of Housing Investment in the U.S," NBER Working Papers 1818, National Bureau of Economic Research, Inc.
    5. Georgy Idrisov, 2010. "Factors of Demand for Imported Goods for Investment Purpose to Russia," Research Paper Series, Gaidar Institute for Economic Policy, issue 138P.
    6. Jacques Mairesse & Alan K. Siu, 1984. "An Extended Accelerator Model of R&D and Physical Investment," NBER Chapters, in: R&D, Patents, and Productivity, pages 271-298, National Bureau of Economic Research, Inc.
    7. Ulrich Kohli & Christopher J. Ryan, 1986. "Australian Business Investment: A New Look at the Neoclassical Approach," The Economic Record, The Economic Society of Australia, vol. 62(4), pages 451-467, December.
    8. Jon Vilasuso, 1997. "The relationship between cash flow and investment in the United States at business cycle frequencies," Applied Economics, Taylor & Francis Journals, vol. 29(10), pages 1283-1293.
    9. Monteiro, Paulo Santos, 2008. "Testing Full Consumption Insurance in the Frequency Domain," Economic Research Papers 269910, University of Warwick - Department of Economics.
    10. Bernstein, Jeffrey I. & Nadiri, M. Ishaq, 1982. "Financing and Investment in Plant and Equipment and Research and Development," Working Papers 82-27, C.V. Starr Center for Applied Economics, New York University.
    11. Lawrence H. Summers, 1980. "Inflation, Taxation, and Corporate Investment: A q-Theory Approach," NBER Working Papers 0604, National Bureau of Economic Research, Inc.
    12. Edward F. Buffie & Manoj Atolia, 2006. "Resurrecting the Weak Credibility Hypothesis in Models of Exchange-Rate-Based Stabilization," Working Papers wp2009_01_03, Department of Economics, Florida State University, revised Aug 2007.
    13. Buffie, Edward F., 2014. "The Taylor principle fights back, Part II," Journal of Economic Dynamics and Control, Elsevier, vol. 46(C), pages 30-49.
    14. Robert S. Chirinko & Debdulal Mallick, 2017. "The Substitution Elasticity, Factor Shares, and the Low-Frequency Panel Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(4), pages 225-253, October.
    15. Buffie, Edward F. & Won, Yongkul, 2001. "Devaluation and investment in an optimizing model of the small open economy," European Economic Review, Elsevier, vol. 45(8), pages 1461-1499, August.
    16. Kilponen, Juha & Verona, Fabio, 2022. "Investment dynamics and forecast: Mind the frequency," Finance Research Letters, Elsevier, vol. 49(C).

  105. Engle, Robert F, 1974. "Specification of the Disturbance for Efficient Estimation," Econometrica, Econometric Society, vol. 42(1), pages 135-146, January.
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  106. Engle, Robert F, 1974. "Band Spectrum Regression," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(1), pages 1-11, February.
    See citations under working paper version above.
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  108. Engle, Robert F, III, et al, 1972. "An Econometric Simulation Model of Intra-Metropolitan Housing Location: Housing, Business, Transportation and Local Government," American Economic Review, American Economic Association, vol. 62(2), pages 87-97, May.

    Cited by:

    1. Harvey S. Perloff, 1973. "The Development of Urban Economics in the United States," Urban Studies, Urban Studies Journal Limited, vol. 10(3), pages 289-301, October.
    2. M L Senior, 1974. "Approaches to Residential Location Modelling 2: Urban Economic Models and Some Recent Developments (A Review)," Environment and Planning A, , vol. 6(4), pages 369-409, August.
    3. Bar-Nathan, Moshe & Beenstock, Michael & Haitovsky, Yoel, 1998. "The market for housing in Israel," Regional Science and Urban Economics, Elsevier, vol. 28(1), pages 21-49, January.
    4. Harry W. Richardson, 1973. "A Comment on Some Uses of Mathematical Models in Urban Economics," Urban Studies, Urban Studies Journal Limited, vol. 10(2), pages 259-270, June.
    5. Katharine Bradbury & Robert Engle & Owen Irvine & Jerome Rothenberg, 1977. "Simultaneous Estimation of the Supply and Demand for Housing Location in a Multizoned Metropolitan Area," NBER Chapters, in: Residential Location and Urban Housing Markets, pages 51-92, National Bureau of Economic Research, Inc.
    6. John J. Beggs, 1981. "Marginal Cost Pricing, Taxation and Subsidies in Urban Transport," Cowles Foundation Discussion Papers 586, Cowles Foundation for Research in Economics, Yale University.
    7. Moshe Bar ­Nathan & Michael Beenstock & Yoel Haitovsky, 1995. "An Econometric Model Of The Israeli Housing Market," Bank of Israel Working Papers 1995.02, Bank of Israel.
    8. Harry W. Richardson, 1978. "The State of Regional Economics: A Survey Article," International Regional Science Review, , vol. 3(1), pages 1-48, October.

  109. Robert F. Engle & Magdalena E. Sokalska, 0. "Forecasting intraday volatility in the US equity market. Multiplicative component GARCH," Journal of Financial Econometrics, Oxford University Press, vol. 10(1), pages 54-83.

    Cited by:

    1. Eduardo Rossi & Dean Fantazzini, 2012. "Long memory and Periodicity in Intraday Volatility," DEM Working Papers Series 015, University of Pavia, Department of Economics and Management.
    2. Kolokolov, Aleksey & Livieri, Giulia & Pirino, Davide, 2020. "Statistical inferences for price staleness," Journal of Econometrics, Elsevier, vol. 218(1), pages 32-81.
    3. Dunis, Christian & Kellard, Neil M. & Snaith, Stuart, 2013. "Forecasting EUR–USD implied volatility: The case of intraday data," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4943-4957.
    4. Jian, Zhihong & Li, Xupei & Zhu, Zhican, 2022. "Extreme risk transmission channels between the stock index futures and spot markets: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    5. Naimoli, Antonio & Storti, Giuseppe, 2019. "Heterogeneous component multiplicative error models for forecasting trading volumes," MPRA Paper 93802, University Library of Munich, Germany.
    6. Ito, Ryoko, 2013. "Modeling Dynamic Diurnal Patterns in High-Frequency Financial Data," Cambridge Working Papers in Economics 1315, Faculty of Economics, University of Cambridge.
    7. Krauss, Christopher & Herrmann, Klaus & Teis, Stefan, 2015. "On the power and size properties of cointegration tests in the light of high-frequency stylized facts," FAU Discussion Papers in Economics 11/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    8. Peter Malec, 2016. "A Semiparametric Intraday GARCH Model," Cambridge Working Papers in Economics 1633, Faculty of Economics, University of Cambridge.
    9. Manganelli, Simone & Idier, Julien & Vergote, Olivier & Ghysels, Eric, 2014. "A high frequency assessment of the ECB securities markets programme," Working Paper Series 1642, European Central Bank.
    10. Reinhold Heinlein & Gabriella D. Legrenzi & Scott M. R. Mahadeo, 2020. "Energy contagion in the COVID-19 crisis," Working Paper series 20-19, Rimini Centre for Economic Analysis.
    11. Farid, Saqib & Kayani, Ghulam Mujtaba & Naeem, Muhammad Abubakr & Shahzad, Syed Jawad Hussain, 2021. "Intraday volatility transmission among precious metals, energy and stocks during the COVID-19 pandemic," Resources Policy, Elsevier, vol. 72(C).
    12. Chao Zhang & Yihuang Zhang & Mihai Cucuringu & Zhongmin Qian, 2022. "Volatility forecasting with machine learning and intraday commonality," Papers 2202.08962, arXiv.org, revised Feb 2023.
    13. Heinlein, Reinhold & Legrenzi, Gabriella D. & Mahadeo, Scott M.R., 2021. "Crude oil and stock markets in the COVID-19 crisis: Evidence from oil exporters and importers," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 223-229.
    14. Sobhesh Kumar Agarwalla & Ajay Pandey, 2013. "Expiration‐Day Effects and the Impact of Short Trading Breaks on Intraday Volatility: Evidence from the Indian Market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(11), pages 1046-1070, November.
    15. Leschinski, Christian, 2017. "On the memory of products of long range dependent time series," Economics Letters, Elsevier, vol. 153(C), pages 72-76.
    16. Chun, Dohyun & Cho, Hoon & Ryu, Doojin, 2020. "Economic indicators and stock market volatility in an emerging economy," Economic Systems, Elsevier, vol. 44(2).
    17. Agarwalla, Sobhesh Kumar & Pandey, Ajay, 2012. "Whether Cross-Listing, Stock-specific and Market-wide Calendar Events impact Intraday Volatility Dynamics? Evidence from the Indian Stock Market using High-frequency Data," IIMA Working Papers WP2012-11-03, Indian Institute of Management Ahmedabad, Research and Publication Department.
    18. Tobias Eckernkemper & Bastian Gribisch, 2021. "Intraday conditional value at risk: A periodic mixed‐frequency generalized autoregressive score approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 883-910, August.
    19. Nino Antulov-Fantulin & Tian Guo & Fabrizio Lillo, 2021. "Temporal mixture ensemble models for probabilistic forecasting of intraday cryptocurrency volume," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 905-940, December.
    20. Behrendt, Simon & Schmidt, Alexander, 2018. "The Twitter myth revisited: Intraday investor sentiment, Twitter activity and individual-level stock return volatility," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 355-367.
    21. Liu, Dehong & Liang, Yucong & Zhang, Lili & Lung, Peter & Ullah, Rizwan, 2021. "Implied volatility forecast and option trading strategy," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 943-954.
    22. Adam Clements & Joanne Fuller & Vasilios Papalexiou, 2015. "Public news flow in intraday component models for trading activity and volatility," NCER Working Paper Series 106, National Centre for Econometric Research.
    23. Ha, Youngmin & Zhang, Hai, 2020. "Algorithmic trading for online portfolio selection under limited market liquidity," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1033-1051.
    24. Efimova, Olga & Serletis, Apostolos, 2014. "Energy markets volatility modelling using GARCH," Energy Economics, Elsevier, vol. 43(C), pages 264-273.
    25. Zhang, Hanyu & Dufour, Alfonso, 2019. "Modeling intraday volatility of European bond markets: A data filtering application," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 131-146.
    26. Fabrizio Cipollini & Giampiero M. Gallo, 2018. "Modeling Euro STOXX 50 Volatility with Common and Market–specific Components," Working Paper series 18-26, Rimini Centre for Economic Analysis.
    27. Jian, Zhihong & Wu, Shuai & Zhu, Zhican, 2018. "Asymmetric extreme risk spillovers between the Chinese stock market and index futures market: An MV-CAViaR based intraday CoVaR approach," Emerging Markets Review, Elsevier, vol. 37(C), pages 98-113.
    28. Kim Christensen & Ulrich Hounyo & Mark Podolskij, 2017. "Is the diurnal pattern sufficient to explain the intraday variation in volatility? A nonparametric assessment," CREATES Research Papers 2017-30, Department of Economics and Business Economics, Aarhus University.
    29. Dirk G Baur & Thomas Dimpfl, 2012. "State-dependent Momentum in International Stock Markets," Working Paper Series 169, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    30. Harvey,Andrew C., 2013. "Dynamic Models for Volatility and Heavy Tails," Cambridge Books, Cambridge University Press, number 9781107630024.
    31. Nino Antulov-Fantulin & Tian Guo & Fabrizio Lillo, 2020. "Temporal mixture ensemble models for intraday volume forecasting in cryptocurrency exchange markets," Papers 2005.09356, arXiv.org, revised Dec 2020.
    32. Themistoclis Pantos & Stathis Polyzos & Aggelos Armenatzoglou & Ilias Kampouris, 2019. "Volatility Spillovers in Electricity Markets: Evidence from the United States," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 131-143.
    33. Christopher Krauss & Klaus Herrmann, 2017. "On the Power and Size Properties of Cointegration Tests in the Light of High-Frequency Stylized Facts," JRFM, MDPI, vol. 10(1), pages 1-24, February.
    34. Hong Li & Shamim Ahmed & Thanaset Chevapatrakul, 2016. "Volatility spillovers across European stock markets around the Brexit referendum," Discussion Papers 2016/06, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    35. Paulo Sergio Ceretta & Alexandre Silva da Costa & Marcelo Brutti Righi & Fernanda Maria Müller, 2013. "A 10 min tick volatility analysis between the Ibovespa and the S&P500," Economics Bulletin, AccessEcon, vol. 33(3), pages 2169-2176.
    36. Xiufeng Yan, 2021. "Autoregressive conditional duration modelling of high frequency data," Papers 2111.02300, arXiv.org.
    37. Vatter, Thibault & Chavez-Demoulin, Valérie, 2015. "Generalized additive models for conditional dependence structures," Journal of Multivariate Analysis, Elsevier, vol. 141(C), pages 147-167.
    38. Herrmann, Klaus & Teis, Stefan & Yu, Weijun, 2014. "Components of intraday volatility and their prediction at different sampling frequencies with application to DAX and BUND futures," FAU Discussion Papers in Economics 15/2014, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    39. Thibault Vatter & Hau-Tieng Wu & Valérie Chavez-Demoulin & Bin Yu, 2015. "Non-Parametric Estimation of Intraday Spot Volatility: Disentangling Instantaneous Trend and Seasonality," Econometrics, MDPI, vol. 3(4), pages 1-24, December.
    40. Eyup Kadioðluu & Guray Kuçukkocaoglu & Saim Kilic, 2015. "Closing price manipulation in Borsa Istanbul and the impact of call auction sessions," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 15(3), pages 213-221, September.
    41. Papaioannou, George P. & Dikaiakos, Christos & Dagoumas, Athanasios S. & Dramountanis, Anargyros & Papaioannou, Panagiotis G., 2018. "Detecting the impact of fundamentals and regulatory reforms on the Greek wholesale electricity market using a SARMAX/GARCH model," Energy, Elsevier, vol. 142(C), pages 1083-1103.
    42. Xiufeng Yan, 2021. "Multiplicative Component GARCH Model of Intraday Volatility," Papers 2111.02376, arXiv.org.
    43. Jonathan R. Stroud & Michael S. Johannes, 2014. "Bayesian Modeling and Forecasting of 24-Hour High-Frequency Volatility," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1368-1384, December.
    44. Irena Barjav{s}i'c & Nino Antulov-Fantulin, 2020. "Time-varying volatility in Bitcoin market and information flow at minute-level frequency," Papers 2004.00550, arXiv.org, revised Jan 2021.
    45. Wesselhöfft, Niels & Härdle, Wolfgang Karl, 2019. "Estimating low sampling frequency risk measure by high-frequency data," IRTG 1792 Discussion Papers 2019-003, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".

Chapters

  1. Giovanni Barone Adesi & Robert F. Engle & Loriano Mancini, 2014. "A GARCH Option Pricing Model with Filtered Historical Simulation," Palgrave Macmillan Books, in: Giovanni Barone Adesi (ed.), Simulating Security Returns: A Filtered Historical Simulation Approach, chapter 4, pages 66-108, Palgrave Macmillan.
    See citations under working paper version above.
  2. Viral V. Acharya & Christian Brownlees & Robert Engle & Farhang Farazmand & Matthew Richardson, 2013. "Measuring Systemic Risk," World Scientific Book Chapters, in: Oliviero Roggi & Edward I Altman (ed.), Managing and Measuring Risk Emerging Global Standards and Regulations After the Financial Crisis, chapter 3, pages 65-98, World Scientific Publishing Co. Pte. Ltd..

    Cited by:

    1. He, Wenjia & He, Wenjing & Xu, Dandan & Yue, Pengpeng, 2023. "Economic volatility, banks’ risk accumulation and systemic risk," Finance Research Letters, Elsevier, vol. 57(C).
    2. Song, Wei-Ling & Uzmanoglu, Cihan, 2016. "TARP announcement, bank health, and borrowers’ credit risk," Journal of Financial Stability, Elsevier, vol. 22(C), pages 22-32.
    3. Junye Li & Gabriele Zinna, 2014. "How much of bank credit risk is sovereign risk? Evidence from the eurozone," Temi di discussione (Economic working papers) 990, Bank of Italy, Economic Research and International Relations Area.
    4. Binici, Mahir & Köksal, Bülent & Orman, Cüneyt, 2012. "Stock return comovement and systemic risk in the Turkish banking system," MPRA Paper 38663, University Library of Munich, Germany.
    5. Cai, J., 2012. "Estimation concerning risk under extreme value conditions," Other publications TiSEM a92b089f-bc4c-41c2-b297-c, Tilburg University, School of Economics and Management.
    6. Somnath Chatterjee & Marea Sing, 2021. "Measuring Systemic Risk in South African Banks," Working Papers 11004, South African Reserve Bank.
    7. Mr. Eugenio M Cerutti & Mr. Patrick M. McGuire & Mr. Stijn Claessens, 2011. "Systemic Risks in Global Banking: What Available Data Can Tell Us and What More Data Are Needed?," IMF Working Papers 2011/222, International Monetary Fund.
    8. Wang, Chao & Liu, Xiaoxing & Chen, Boyi & Li, Menyu, 2023. "Topological properties of reconstructed credit networks and banking systemic risk," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    9. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    10. Wang, Bo & Xiao, Yang, 2023. "Risk spillovers from China's and the US stock markets during high-volatility periods: Evidence from East Asianstock markets," International Review of Financial Analysis, Elsevier, vol. 86(C).
    11. Chen, Guojin & Liu, Yanzhen & Zhang, Yu, 2020. "Can systemic risk measures predict economic shocks? Evidence from China," China Economic Review, Elsevier, vol. 64(C).
    12. Gabrielle Demange, 2015. "Contagion in Financial Networks: A Threat Index," CESifo Working Paper Series 5307, CESifo.
    13. Kreis, Yvonne & Leisen, Dietmar P.J., 2018. "Systemic risk in a structural model of bank default linkages," Journal of Financial Stability, Elsevier, vol. 39(C), pages 221-236.
    14. Chen, Sichong, 2013. "How do leverage ratios affect bank share performance during financial crises: The Japanese experience of the late 1990s," Journal of the Japanese and International Economies, Elsevier, vol. 30(C), pages 1-18.
    15. Paul H. Kupiec, 2015. "Testing for systemic risk using stock returns," AEI Economics Working Papers 828488, American Enterprise Institute.
    16. Chang, Carolyn W. & Li, Xiaodan & Lin, Edward M.H. & Yu, Min-Teh, 2018. "Systemic risk, interconnectedness, and non-core activities in Taiwan insurance industry," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 273-284.
    17. Jan Dhaene & Roger J. A. Laeven & Yiying Zhang, 2019. "Systemic Risk: Conditional Distortion Risk Measures," Papers 1901.04689, arXiv.org, revised Jan 2019.
    18. Anton Pichler & Sebastian Poledna & Stefan Thurner, 2018. "Systemic-risk-efficient asset allocation: Minimization of systemic risk as a network optimization problem," Papers 1801.10515, arXiv.org, revised Mar 2018.
    19. Akin, Ozlem & Marín, J.M. & Peydró, José-Luis, 2019. "Anticipating the Financial Crisis: Evidence from Insider Trading in Banks," EconStor Preprints 216803, ZBW - Leibniz Information Centre for Economics.
    20. Wan-Chien Chiu & Chih-Wei Wang & Wei-Ning Wu & Chuan-Ju Lin, 2017. "Impact of Rollover Risk and Corporate Policy on Extreme Risk in the Taiwanese Manufacturing Industry," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 20(03), pages 1-20, September.
    21. Andreas Dombret, 2013. "Criteria for Financial Stability - -The European View," Chapters, in: Andreas Dombret & Otto Lucius (ed.), Stability of the Financial System, chapter 2, Edward Elgar Publishing.
    22. Erhan Bayraktar & Gaoyue Guo & Wenpin Tang & Yuming Paul Zhang, 2022. "Systemic robustness: a mean-field particle system approach," Papers 2212.08518, arXiv.org, revised Aug 2023.
    23. Colliard , Jean-Edouard & Perignon , Christophe, 2015. "Where the Risks Lie: A Survey on Systemic Risk," HEC Research Papers Series 1088, HEC Paris.
    24. Schwaab, Bernd & Koopman, Siem Jan & Lucas, André & Nucera, Federico, 2016. "The information in systemic risk rankings," Working Paper Series 1875, European Central Bank.
    25. Karkowska Renata, 2014. "What Kind Of Systemic Risks Do We Face In The European Banking Sector? The Approach Of CoVaR Measure," Folia Oeconomica Stetinensia, Sciendo, vol. 14(2), pages 114-124, December.
    26. Kathleen Weiss Hanley & Gerard Hoberg, 2019. "Dynamic Interpretation of Emerging Risks in the Financial Sector," The Review of Financial Studies, Society for Financial Studies, vol. 32(12), pages 4543-4603.
    27. Tang, Qihe & Tong, Zhiwei & Xun, Li, 2022. "Insurance risk analysis of financial networks vulnerable to a shock," European Journal of Operational Research, Elsevier, vol. 301(2), pages 756-771.
    28. Hoffmann, Hannes & Meyer-Brandis, Thilo & Svindland, Gregor, 2016. "Risk-consistent conditional systemic risk measures," Stochastic Processes and their Applications, Elsevier, vol. 126(7), pages 2014-2037.
    29. Soedarmono, Wahyoe & Sitorus, Djauhari & Tarazi, Amine, 2017. "Abnormal loan growth, credit information sharing and systemic risk in Asian banks," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1208-1218.
    30. Hai-Chuan Xu & Fredj Jawadi & Jie Zhou & Wei-Xing Zhou, 2023. "Quantifying interconnectedness and centrality ranking among financial institutions with TVP-VAR framework," Empirical Economics, Springer, vol. 65(1), pages 93-110, July.
    31. Berger, Allen N. & Roman, Raluca A. & Sedunov, John, 2020. "Did TARP reduce or increase systemic risk? The effects of government aid on financial system stability," Journal of Financial Intermediation, Elsevier, vol. 43(C).
    32. Xin Huang & Hao Zhou & Haibin Zhu, 2011. "Systemic risk contributions," Finance and Economics Discussion Series 2011-08, Board of Governors of the Federal Reserve System (U.S.).
    33. Gabriel Pino & Subhash C. Sharma, 2019. "On the Contagion Effect in the US Banking Sector," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(1), pages 261-280, February.
    34. Wang, Ruting & Althof, Michael & Härdle, Wolfgang Karl, 2023. "A financial risk meter for China," Emerging Markets Review, Elsevier, vol. 56(C).
    35. Zevallos, Mauricio & Villarreal, Fernanda & Del Carpio, Carlos & Abbara, Omar, 2014. "Influencia de los precios de los metales y el mercado internacional en el riesgo bursátil peruano," Working Papers 2014-023, Banco Central de Reserva del Perú.
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    7. Claudio Bravo Ortega & Álvaro García Marín, 2008. "Exploring the Relationship between R&D and Productivity: A Country-Level Study," Working Papers wp282, University of Chile, Department of Economics.
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    164. Pavlidis Efthymios G. & Paya Ivan & Peel David A., 2013. "Nonlinear causality tests and multivariate conditional heteroskedasticity: a simulation study," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(3), pages 297-312, May.
    165. Wooldridge, J.M., 1990. "Regression-Based Inference In Linear Time Series Models With Incomplete Dynamics," Working papers 550, Massachusetts Institute of Technology (MIT), Department of Economics.
    166. Nijman, T.E. & Palm, F.C., 1991. "Recent developments in modeling volatility in financial data," Other publications TiSEM 0c1ff78c-d484-43bb-bcc3-a, Tilburg University, School of Economics and Management.
    167. Sumudu W. Watugala, 2019. "Economic uncertainty, trading activity, and commodity futures volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(8), pages 921-945, August.
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    169. Jun Xu & Shawn G. Bauldry & Andrew S. Fullerton, 2022. "Bayesian Approaches to Assessing the Parallel Lines Assumption in Cumulative Ordered Logit Models," Sociological Methods & Research, , vol. 51(2), pages 667-698, May.
    170. Federico Podestà, 2006. "Comparing Time Series Cross-Section Model Specifications: The Case of Welfare State Development," Quality & Quantity: International Journal of Methodology, Springer, vol. 40(4), pages 539-559, August.

  5. Robert F. Engle, 1980. "Hypothesis Testing in Spectral Regression; the Lagrange Multiplier Test as a Regression Diagnostic," NBER Chapters, in: Evaluation of Econometric Models, pages 309-321, National Bureau of Economic Research, Inc.

    Cited by:

    1. Cleiton Guollo Taufemback, 2023. "Asymptotic Behavior of Temporal Aggregation in Mixed‐Frequency Datasets," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(4), pages 894-909, August.

  6. Robert F. Engle, 1978. "Estimating Structural Models of Seasonality," NBER Chapters, in: Seasonal Analysis of Economic Time Series, pages 281-308, National Bureau of Economic Research, Inc.

    Cited by:

    1. Gabriele Fiorentini & Enrique Sentana, 2016. "Neglected serial correlation tests in UCARIMA models," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 7(1), pages 121-178, March.
    2. Svend Hylleberg, 2006. "Seasonal Adjustment," Economics Working Papers 2006-04, Department of Economics and Business Economics, Aarhus University.
    3. Francis X. Diebold, 2004. "The Nobel Memorial Prize for Robert F. Engle," Scandinavian Journal of Economics, Wiley Blackwell, vol. 106(2), pages 165-185, June.
    4. Thury, Gerhard & Witt, Stephen F., 1998. "Forecasting industrial production using structural time series models," Omega, Elsevier, vol. 26(6), pages 751-767, December.
    5. Wu, Yangru, 1995. "Are there rational bubbles in foreign exchange markets? Evidence from an alternative test," Journal of International Money and Finance, Elsevier, vol. 14(1), pages 27-46, February.
    6. Girardin, Eric & Liu, Zhenya, 2005. "Bank credit and seasonal anomalies in China's stock markets," China Economic Review, Elsevier, vol. 16(4), pages 465-483.
    7. Karapanagiotidis, Paul, 2014. "Dynamic State-Space Models," MPRA Paper 56807, University Library of Munich, Germany.
    8. Regina Kaiser & Agustín Maravall, 2004. "Combining filter design with model based filtering (with an application to business cycle estimation)," Working Papers 0417, Banco de España.
    9. Paolo Guarda, 2002. "Potential output and the output gap in Luxembourg: some alternative methods," BCL working papers 4, Central Bank of Luxembourg.
    10. Catalin Angelo IOAN & Gina IOAN, 2013. "The Open Society, Institutions and Economic Performance," EuroEconomica, Danubius University of Galati, issue 2(32), pages 175-180, September.
    11. Agustín Maravall & Cristophe Planas, 1996. "Estimation Error and the Specification of Unobserved Component Models," Working Papers 9608, Banco de España.
    12. Maria J. Herrerias & Eric Girardin, 2013. "Seasonal Patterns of Energy in China," Post-Print hal-01499617, HAL.
    13. De Loo, Ivo, 1998. "Fables of Faubus?: Testing the Sectoral Shift Hypothesis in the Netherlands Using a Simplified Kalman Filter Model," Research Memorandum 002, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    14. Ardeni, Pier Giorgio & Wright, Brian, 1990. "The long term behavior of commodity prices," Policy Research Working Paper Series 358, The World Bank.
    15. Ruiz Ortega, Esther & Lorenzo, Fernando, 1996. "Which univariate time series model predicts quicker a crisis? The Iberia case," DES - Working Papers. Statistics and Econometrics. WS 4545, Universidad Carlos III de Madrid. Departamento de Estadística.
    16. Stock, James H. & Watson, Mark, 2008. "The Evolution of National and Regional Factors in U.S. Housing Construction," Scholarly Articles 28468706, Harvard University Department of Economics.

  7. Katharine Bradbury & Robert Engle & Owen Irvine & Jerome Rothenberg, 1977. "Simultaneous Estimation of the Supply and Demand for Housing Location in a Multizoned Metropolitan Area," NBER Chapters, in: Residential Location and Urban Housing Markets, pages 51-92, National Bureau of Economic Research, Inc.

    Cited by:

    1. Peter Hans Matthews, 2004. "Paradise Lost and Found? The Econometric Contributions of Clive W.J. Granger and Robert F. Engle," Middlebury College Working Paper Series 0416, Middlebury College, Department of Economics.
    2. Alan M. Hay, 1981. "The Economic Basis of Spontaneous Home Improvement: a Graphical Analysis," Urban Studies, Urban Studies Journal Limited, vol. 18(3), pages 359-364, October.
    3. Gwilym Pryce, 1999. "Construction Elasticities and Land Availability: A Two-stage Least-squares Model of Housing Supply Using the Variable Elasticity Approach," Urban Studies, Urban Studies Journal Limited, vol. 36(13), pages 2283-2304, December.
    4. C Jones & D Maclennan, 1991. "Urban Growth and Housing-Market Change: Aberdeen 1968 to 1978," Environment and Planning A, , vol. 23(4), pages 571-590, April.
    5. Pryce, Gwilym & White, Michael, 1999. "Contiguous land use as a driver for land allocation," ERSA conference papers ersa99pa041, European Regional Science Association.

  8. Robert F. Engle, 1976. "Interpreting Spectral Analyses in Terms of Time-Domain Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 1, pages 89-109, National Bureau of Economic Research, Inc.
    See citations under working paper version above.
  9. Robert F. Engle & Ta-Chung Liu, 1972. "Effects of Aggregation Over Time on Dynamic Characteristics of an Econometric Model," NBER Chapters, in: Econometric Models of Cyclical Behavior, Volumes 1 and 2, pages 673-737, National Bureau of Economic Research, Inc.

    Cited by:

    1. Peter Hans Matthews, 2004. "Paradise Lost and Found? The Econometric Contributions of Clive W.J. Granger and Robert F. Engle," Middlebury College Working Paper Series 0416, Middlebury College, Department of Economics.
    2. Mamingi Nlandu, 2017. "Beauty and Ugliness of Aggregation over Time: A Survey," Review of Economics, De Gruyter, vol. 68(3), pages 205-227, December.
    3. Manudeep Bhuller & Christian N. Brinch & Sebastian Königs, 2017. "Time Aggregation and State Dependence in Welfare Receipt," Economic Journal, Royal Economic Society, vol. 127(604), pages 1833-1873, September.
    4. Lyon, Charles C. & Thompson, Gary D., 1991. "Model Selection With Temporal And Spatial Aggregation: Alternative Marketing Margin Models," Staff Papers 13253, University of Minnesota, Department of Applied Economics.
    5. Cartwright, Phillip A. & Riabko, Natalija, 2015. "Measuring the effect of oil prices on wheat futures prices," Research in International Business and Finance, Elsevier, vol. 33(C), pages 355-369.
    6. Elena Andreou, Eric Ghysels & Eric Ghysels & Andros Kourtellos, 2007. "Regression Models with Mixed Sampling Frequencies," University of Cyprus Working Papers in Economics 8-2007, University of Cyprus Department of Economics.
    7. Jon Cockerline & John F. Helliwell & Robert Lafrance, 1988. "Multicountry Modeling of Financial Markets," NBER Working Papers 2736, National Bureau of Economic Research, Inc.
    8. Daniel S. Hamermesh, 1992. "Spatial and Temporal Aggregation in the Dynamics of Labor Demand," NBER Working Papers 4055, National Bureau of Economic Research, Inc.
    9. Sandrine Lardic & Valérie Mignon, 2004. "Robert F. Engle et Clive W.J. Granger prix Nobel d'économie 2003," Revue d'économie politique, Dalloz, vol. 114(1), pages 1-15.
    10. Nijman, Theo E & Palm, Franz C, 1990. "Predictive Accuracy Gain from Disaggregate Sampling in ARIMA Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(4), pages 405-415, October.
    11. Varejão, José & Portugal, Pedro, 2007. "Spatial and Temporal Aggregation in the Estimation of Labor Demand Functions," IZA Discussion Papers 2701, Institute of Labor Economics (IZA).
    12. Phillip A. Cartwright & Natalija Riabko, 2019. "Do spot food commodity and oil prices predict futures prices?," Review of Quantitative Finance and Accounting, Springer, vol. 53(1), pages 153-194, July.
    13. Hamermesh, Daniel S, 1992. "A General Model of Dynamic Labor Demand," The Review of Economics and Statistics, MIT Press, vol. 74(4), pages 733-737, November.
    14. Nijman, T.E. & Palm, F.C., 1987. "Predictive accuracy gain from disaggregate sampling in ARIMA-models," Other publications TiSEM 73cf32e2-d741-45a0-8b3e-f, Tilburg University, School of Economics and Management.
    15. Hagen, Tobias, 2001. "Does fixed-term contract employment raise firms' adjustment-speed? Evidence from an establishment panel for West-Germany," ZEW Discussion Papers 01-57, ZEW - Leibniz Centre for European Economic Research.
    16. Lawrence J. Christiano & Martin S. Eichenbaum, 1986. "Temporal Aggregation and Structural Inference in Macroeconomics," NBER Technical Working Papers 0060, National Bureau of Economic Research, Inc.
    17. Bianchi, Carlo & Calzolari, Giorgio & Ciriani, Tito A. & Corsi, Paolo & Cleur, Eugene M. & Sitzia, Bruno & Romagnoli, Gian C., 1976. "Analisi e simulazione stocastica di un modello aggregato dell'economia italiana 1952-1971 [Analysis and stochastic simulation of a macro model of the Italian economy 1952-1971]," MPRA Paper 24423, University Library of Munich, Germany.
    18. Phillip A. Cartwright & Natalija Riabko, 2016. "Further evidence on the explanatory power of spot food and energy commodities market prices for futures prices," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 579-605, October.
    19. Sundell, Paul & Denbaly, Mark, 1992. "Modeling Long-Term Government Bond Yields: An Efficient Market Approach," Staff Reports 278623, United States Department of Agriculture, Economic Research Service.

Books

  1. Engle, Robert F. & White (the late), Halbert (ed.), 1999. "Cointegration, Causality, and Forecasting: Festschrift in Honour of Clive W. J. Granger," OUP Catalogue, Oxford University Press, number 9780198296836.

    Cited by:

    1. Castle, Jennifer L. & Doornik, Jurgen A. & Hendry, David F., 2021. "Modelling non-stationary ‘Big Data’," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1556-1575.
    2. Sassan Alizadeh & Michael W. Brandt & Francis X. Diebold, 1999. "Range-Based Estimation of Stochastic Volatility Models or Exchange Rate Dynamics are More Interesting Than You Think," Center for Financial Institutions Working Papers 00-28, Wharton School Center for Financial Institutions, University of Pennsylvania.
    3. Aslanidis, Nektarios & Christiansen, Charlotte, 2012. "Smooth transition patterns in the realized stock–bond correlation," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 454-464.
    4. Athanasopoulos, George & Guillen, Osmani Teixeira Carvalho & Issler, João Victor & Vahid, Farshid, 2011. "Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 713, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    5. Chi-Wei Su & Hui Yu & Hsu-Ling Chang & Xiao-Lin Li, 2017. "How does inflation determine inflation uncertainty? A Chinese perspective," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1417-1434, May.
    6. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2015. "Was the recent downturn in US real GDP predictable?," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2985-3007, June.
    7. Neil R. Ericsson & John S. Irons & Ralph W. Tryon, 2001. "Output and inflation in the long run," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 241-253.
    8. Wang, Yudong & Wu, Chongfeng, 2012. "Forecasting energy market volatility using GARCH models: Can multivariate models beat univariate models?," Energy Economics, Elsevier, vol. 34(6), pages 2167-2181.
    9. Lyócsa, Štefan & Výrost, Tomáš & Baumöhl, Eduard, 2019. "Return spillovers around the globe: A network approach," Economic Modelling, Elsevier, vol. 77(C), pages 133-146.
    10. González, Mariano & Nave, Juan & Rubio, Gonzalo, 2018. "Macroeconomic determinants of stock market betas," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 26-44.
    11. Muhammad Jawad & Munazza Naz, 2019. "Pre and post effects of Brexit polling on United Kingdom economy: an econometrics analysis of transactional change," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(1), pages 247-267, January.
    12. Exterkate, Peter & Groenen, Patrick J.F. & Heij, Christiaan & van Dijk, Dick, 2016. "Nonlinear forecasting with many predictors using kernel ridge regression," International Journal of Forecasting, Elsevier, vol. 32(3), pages 736-753.
    13. Golosnoy, Vasyl & Gribisch, Bastian & Seifert, Miriam Isabel, 2019. "Exponential smoothing of realized portfolio weights," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 222-237.
    14. Baumöhl, Eduard & Kočenda, Evžen & Lyócsa, Štefan & Výrost, Tomáš, 2018. "Networks of volatility spillovers among stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1555-1574.
    15. Gencay, Ramazan & Fan, Yanqin, 2007. "Unit Root Tests with Wavelets," MPRA Paper 9832, University Library of Munich, Germany.
    16. Michail Karoglou & Bruce Morley & Dennis Thomas, 2013. "Risk and Structural Instability in US House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 46(3), pages 424-436, April.
    17. Shu‐Chin Lin, 2009. "Inflation And Real Stock Returns Revisited," Economic Inquiry, Western Economic Association International, vol. 47(4), pages 783-795, October.
    18. George Athanasopoulos & Farshid Vahid, 2008. "A complete VARMA modelling methodology based on scalar components," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(3), pages 533-554, May.
    19. Peter Christoffersen & Kris Jacobs & Chayawat Ornthanalai, 2012. "GARCH Option Valuation: Theory and Evidence," CREATES Research Papers 2012-50, Department of Economics and Business Economics, Aarhus University.
    20. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
    21. Driton Kuçi, 2015. "Contemporary Models of Organization of Power and the Macedonian Model of Organization of Power," European Journal of Interdisciplinary Studies Articles, Revistia Research and Publishing, vol. 1, September.
    22. Lahura, Erick, 2010. "Monetary aggregates and monetary policy: an empirical assessment for Peru," Working Papers 2010-019, Banco Central de Reserva del Perú.
    23. Manabu Asai & Michael McAleer, 2013. "Leverage and Feedback Effects on Multifactor Wishart Stochastic Volatility for Option Pricing," KIER Working Papers 840, Kyoto University, Institute of Economic Research.
    24. Granger Clive W.J., 2008. "Non-Linear Models: Where Do We Go Next - Time Varying Parameter Models?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(3), pages 1-11, September.
    25. Wei-Xing Zhou & Didier Sornette, 2006. "Lead-lag cross-sectional structure and detection of correlated-anticorrelated regime shifts: Application to the volatilities of inflation and economic growth rates," Papers physics/0607197, arXiv.org.
    26. Kajal Lahiri & Xuguang Sheng, 2008. "Measuring Forecast Uncertainty by Disagreement: The Missing Link," ifo Working Paper Series 60, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    27. Eric Ghysels & Casidhe Horan & Emanuel Moench, 2018. "Forecasting through the Rearview Mirror: Data Revisions and Bond Return Predictability," The Review of Financial Studies, Society for Financial Studies, vol. 31(2), pages 678-714.
    28. Robert Engle, 2001. "GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 157-168, Fall.
    29. Gregory Bauer & Keith Vorkink, 2007. "Multivariate Realized Stock Market Volatility," Staff Working Papers 07-20, Bank of Canada.
    30. Wolff, Christian & Lehnert, Thorsten, 2001. "Modelling Scale-Consistent VaR with the Truncated Lévy Flight," CEPR Discussion Papers 2711, C.E.P.R. Discussion Papers.
    31. Alfred A. Haug & Christie Smith, 2007. "Local linear impulse responses for a small open economy," Working Papers 0707, University of Otago, Department of Economics, revised Apr 2007.
    32. Carriero, Andrea & Marcellino, Massimiliano, 2007. "A comparison of methods for the construction of composite coincident and leading indexes for the UK," International Journal of Forecasting, Elsevier, vol. 23(2), pages 219-236.
    33. Catania, Leopoldo & Proietti, Tommaso, 2020. "Forecasting volatility with time-varying leverage and volatility of volatility effects," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1301-1317.
    34. DAVID G. McMILLAN & ALAN E. H. SPEIGHT, 2007. "Value‐at‐Risk in Emerging Equity Markets: Comparative Evidence for Symmetric, Asymmetric, and Long‐Memory GARCH Models," International Review of Finance, International Review of Finance Ltd., vol. 7(1‐2), pages 1-19, March.
    35. Samit Paul & Madhusudan Karmakar, 2017. "Relative Efficiency of Component GARCH-EVT Approach in Managing Intraday Market Risk," Multinational Finance Journal, Multinational Finance Journal, vol. 21(4), pages 247-283, December.
    36. Yu-Hua Zeng & Shou-Lei Wang & Yu-Fei Yang, 2014. "Calibration of the Volatility in Option Pricing Using the Total Variation Regularization," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-9, March.
    37. Azad, A.S.M. Sohel & Fang, Victor & Hung, Chi-Hsiou, 2012. "Linking the interest rate swap markets to the macroeconomic risk: The UK and us evidence," International Review of Financial Analysis, Elsevier, vol. 22(C), pages 38-47.
    38. Bhaghoe, Sailesh & Ooft, Gavin, 2020. "Modelling Exchange-Rate Volatility With Commodity Prices," Studies in Applied Economics 165, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    39. Juan Carlos Aquino & Gabriel Rodríguez, 2011. "Understanding The Functional Central Limit Theorems With Some Applications To Unit Root Testing With Structural Change," Documentos de Trabajo / Working Papers 2011-319, Departamento de Economía - Pontificia Universidad Católica del Perú.
    40. Alain W. HECQ, 2005. "Common Trends and Common Cycles in Latin America: A 2-step vs an Iterative Approach," Computing in Economics and Finance 2005 258, Society for Computational Economics.
    41. Cristina Amado & Timo Teräsvirta, 2012. "Modelling Changes in the Unconditional Variance of Long Stock Return Series," CREATES Research Papers 2012-07, Department of Economics and Business Economics, Aarhus University.
    42. Castro, Tomás del Barrio & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2013. "The Impact Of Persistent Cycles On Zero Frequency Unit Root Tests," Econometric Theory, Cambridge University Press, vol. 29(6), pages 1289-1313, December.
    43. Rafal Kasperowicz, 2010. "Identification Of Industrial Cycle Leading Indicators Using Causality Test," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 5(2), pages 47-59, December.
    44. Eduardo Ramos-Pérez & Pablo J. Alonso-González & José Javier Núñez-Velázquez, 2021. "Multi-Transformer: A New Neural Network-Based Architecture for Forecasting S&P Volatility," Mathematics, MDPI, vol. 9(15), pages 1-18, July.
    45. Hossein Asgharian & Charlotte Christiansen & Ai Jun Hou, 2016. "Macro-Finance Determinants of the Long-Run Stock–Bond Correlation: The DCC-MIDAS Specification," Journal of Financial Econometrics, Oxford University Press, vol. 14(3), pages 617-642.
    46. Menelaos Karanasos & Stefanie Schurer, 2008. "Is the Relationship between Inflation and Its Uncertainty Linear?," German Economic Review, Verein für Socialpolitik, vol. 9(3), pages 265-286, August.
    47. Uddin, Gazi Salah & Tang, Ou & Sahamkhadam, Maziar & Taghizadeh-Hesary, Farhad & Yahya, Muhammad & Cerin, Pontus & Rehme, Jakob, 2021. "Analysis of Forecasting Models in an Electricity Market under Volatility," ADBI Working Papers 1212, Asian Development Bank Institute.
    48. Michel Ferreira Cardia Haddad & Szabolcs Blazsek & Philip Arestis & Franz Fuerst & Hsia Hua Sheng, 2023. "The two-component Beta-t-QVAR-M-lev: a new forecasting model," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(4), pages 379-401, December.
    49. Cheikh, Nidhaleddine Ben & Zaied, Younes Ben & Chevallier, Julien, 2020. "Asymmetric volatility in cryptocurrency markets: New evidence from smooth transition GARCH models," Finance Research Letters, Elsevier, vol. 35(C).
    50. Esteve, Vicente & Navarro-Ibáñez, Manuel & Prats, María A., 2013. "The Spanish term structure of interest rates revisited: Cointegration with multiple structural breaks, 1974–2010," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 24-34.
    51. Jana Eklund & Sune Karlsson, 2007. "Forecast Combination and Model Averaging Using Predictive Measures," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 329-363.
    52. Han, Heejoon & Park, Joon Y., 2006. "Time series properties of ARCH processes with persistent covariates," MPRA Paper 5199, University Library of Munich, Germany.
    53. Andrejs Bessonovs, 2015. "Suite of Latvia's GDP forecasting models," Working Papers 2015/01, Latvijas Banka.
    54. Naomi Boyd & Bingxin Li & Rui Liu, 2022. "Risk premia in the term structure of crude oil futures: long-run and short-run volatility components," Review of Quantitative Finance and Accounting, Springer, vol. 58(4), pages 1505-1533, May.
    55. Auer, Benjamin R., 2014. "Daily seasonality in crude oil returns and volatilities," Energy Economics, Elsevier, vol. 43(C), pages 82-88.
    56. Olivier Habimana, 2017. "Do flexible exchange rates facilitate external adjustment? A dynamic approach with time-varying and asymmetric volatility," International Economics and Economic Policy, Springer, vol. 14(4), pages 625-642, October.
    57. Gonzalo, Jesus & Pitarakis, Jean-Yves, 2002. "Estimation and model selection based inference in single and multiple threshold models," Journal of Econometrics, Elsevier, vol. 110(2), pages 319-352, October.
    58. Stanislav Bozhkov & Habin Lee & Uthayasankar Sivarajah & Stella Despoudi & Monomita Nandy, 2020. "Idiosyncratic risk and the cross-section of stock returns: the role of mean-reverting idiosyncratic volatility," Annals of Operations Research, Springer, vol. 294(1), pages 419-452, November.
    59. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2005. "Practical Volatility and Correlation Modeling for Financial Market Risk Management," PIER Working Paper Archive 05-007, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    60. Balogun, Emmanuel Dele, 2007. "Monetary policy and economic performance of West African Monetary Zone Countries," MPRA Paper 4308, University Library of Munich, Germany.
    61. Andres, P. & Harvey, A., 2012. "The Dyanamic Location/Scale Model: with applications to intra-day financial data," Cambridge Working Papers in Economics 1240, Faculty of Economics, University of Cambridge.
    62. Javier Mencía & Enrique Sentana, 2012. "Valuation of vix derivatives," Working Papers 1232, Banco de España.
    63. Ferrara, Laurent & Marcellino, Massimiliano & Mogliani, Matteo, 2015. "Macroeconomic forecasting during the Great Recession: The return of non-linearity?," International Journal of Forecasting, Elsevier, vol. 31(3), pages 664-679.
    64. Terasvirta, Timo & van Dijk, Dick & Medeiros, Marcelo C., 2005. "Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination," International Journal of Forecasting, Elsevier, vol. 21(4), pages 755-774.
    65. Tara Sinclair & Herman O. Stekler & Warren Carnow, 2012. "A New Approach For Evaluating Economic Forecasts," Working Papers 2012-2, The George Washington University, Institute for International Economic Policy.
    66. Anders Bredahl Kock & Timo Teräsvirta, 2011. "Forecasting performance of three automated modelling techniques during the economic crisis 2007-2009," CREATES Research Papers 2011-28, Department of Economics and Business Economics, Aarhus University.
    67. Evarist Stoja & Richard D. F. Harris & Fatih Yilmaz, 2010. "A Cyclical Model of Exchange Rate Volatility," Bristol Economics Discussion Papers 10/618, School of Economics, University of Bristol, UK.
    68. S. Bordignon & D. Raggi, 2008. "Volatility, Jumps and Predictability of Returns: a Sequential Analysis," Working Papers 636, Dipartimento Scienze Economiche, Universita' di Bologna.
    69. Vahidin Jeleskovic & Mirko Meloni & Zahid Irshad Younas, 2020. "Cryptocurrencies: A Copula Based Approach for Asymmetric Risk Marginal Allocations," MAGKS Papers on Economics 202034, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    70. Sassan Alizadeh & Michael W. Brandt & Francis X. Diebold, 2002. "Range‐Based Estimation of Stochastic Volatility Models," Journal of Finance, American Finance Association, vol. 57(3), pages 1047-1091, June.
    71. Henryk Gurgul & Roland Mestel & Robert Syrek, 2017. "MIDAS models in banking sector – systemic risk comparison," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 18(2), pages 165-181.
    72. Kascha, Christian & Trenkler, Carsten, 2011. "Bootstrapping the likelihood ratio cointegration test in error correction models with unknown lag order," Computational Statistics & Data Analysis, Elsevier, vol. 55(2), pages 1008-1017, February.
    73. Conrad, Christian & Loch, Karin & Rittler, Daniel, 2012. "On the Macroeconomic Determinants of the Long-Term Oil-Stock Correlation," Working Papers 0525, University of Heidelberg, Department of Economics.
    74. Piotr Fiszeder & Witold Orzeszko, 2012. "Nonparametric Verification of GARCH-Class Models for Selected Polish Exchange Rates and Stock Indices," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(5), pages 430-449, November.
    75. Anders Bredahl Kock & Timo Teräsvirta, 2016. "Forecasting Macroeconomic Variables Using Neural Network Models and Three Automated Model Selection Techniques," Econometric Reviews, Taylor & Francis Journals, vol. 35(8-10), pages 1753-1779, December.
    76. Diaa Noureldin & Neil Shephard & Kevin Sheppard, 2012. "Multivariate Rotated ARCH Models," Economics Papers 2012-W01, Economics Group, Nuffield College, University of Oxford.
    77. Yiing Fei Tan & Kok Haur Ng & You Beng Koh & Shelton Peiris, 2022. "Modelling Trade Durations Using Dynamic Logarithmic Component ACD Model with Extended Generalised Inverse Gaussian Distribution," Mathematics, MDPI, vol. 10(10), pages 1-20, May.
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    1. Hajivassiliou, Vassilis A. & Ruud, Paul A., 1986. "Classical estimation methods for LDV models using simulation," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 40, pages 2383-2441, Elsevier.
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    5. Marszalec, Daniel, 2017. "The impact of auction choice on revenue in treasury bill auctions – An empirical evaluation," International Journal of Industrial Organization, Elsevier, vol. 53(C), pages 215-239.
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