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Daniel R. Smith

Not to be confused with: Daniel Joseph Smith

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.

Working papers

  1. Adam E Clements & Christopher A Coleman-Fenn & Daniel R Smith, 2011. "Forecasting Equicorrelation," NCER Working Paper Series 72, National Centre for Econometric Research, revised 29 Aug 2011.

    Cited by:

    1. Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-953, CIRJE, Faculty of Economics, University of Tokyo.
    2. Kurose, Yuta & Omori, Yasuhiro, 2016. "Dynamic equicorrelation stochastic volatility," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 795-813.

  2. Amir Rubin & Daniel Smith, 2010. "Comparing Different Explanations of the Volatility Trend," NCER Working Paper Series 68, National Centre for Econometric Research.

    Cited by:

    1. Faisal Khan & Saif-Ur-Rehman Khan & Hashim Khan, 2016. "Pricing of Risk, Various Volatility Dynamics and Macroeconomic Exposure of Firm Returns: New Evidence on Age Effect," International Journal of Economics and Financial Issues, Econjournals, vol. 6(2), pages 551-561.
    2. Michael T. Chng & Victor Fang & Vincent Xiang & Hong Feng Zhang, 2017. "Corporate Hedging and the High Idiosyncratic Volatility Low Return Puzzle," International Review of Finance, International Review of Finance Ltd., vol. 17(3), pages 395-425, September.
    3. Peterson, David R. & Smedema, Adam R., 2011. "The return impact of realized and expected idiosyncratic volatility," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2547-2558, October.
    4. Mehmet Umutlu & Levent Akdeniz & Aslihan Altay-Salih, 2013. "Foreign Equity Trading and Average Stock-return Volatility," The World Economy, Wiley Blackwell, vol. 36(9), pages 1209-1228, September.
    5. Vozlyublennaia, Nadia, 2013. "Do firm characteristics matter for the dynamics of idiosyncratic risk?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 35-46.
    6. Van Son Lai & Duc Khuong Nguyen & William Sodjahin & Issouf Soumaré, 2018. "Discretionary Idiosyncratic Risk, Firm Cash Holdings and Investment," Working Papers 2018-008, Department of Research, Ipag Business School.

  3. Christophe Perignon & Daniel R. Smith, 2010. "The level and quality of Value-at-Risk disclosure by commercial banks," Post-Print hal-00528391, HAL.

    Cited by:

    1. Hochradl, Markus & Wagner, Christian, 2010. "Trading the forward bias: Are there limits to speculation?," Journal of International Money and Finance, Elsevier, vol. 29(3), pages 423-441, April.
    2. 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.
    3. 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.
    4. 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.
    5. Hammoudeh, S.M. & Malik, F. & McAleer, M.J., 2010. "Risk management of precious metals," Econometric Institute Research Papers EI 2010-48, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Muzaffer Akat & Cahit Memis, 2018. "Will Switching From The Var To The Expected Shortfall Provide The Efficiency In The Capital Adequacy? Evidence From The Fx Positions," Eurasian Journal of Business and Management, Eurasian Publications, vol. 6(2), pages 1-13.
    7. Beverly Hirtle, 2016. "Public disclosure and risk-adjusted performance at bank holding companies," Economic Policy Review, Federal Reserve Bank of New York, issue Aug, pages 151-173.
    8. Marcelo Brutti Righi & Fernanda Maria Muller & Marlon Ruoso Moresco, 2017. "On a robust risk measurement approach for capital determination errors minimization," Papers 1707.09829, arXiv.org, revised Oct 2020.
    9. Lyu, Yongjian & Wang, Peng & Wei, Yu & Ke, Rui, 2017. "Forecasting the VaR of crude oil market: Do alternative distributions help?," Energy Economics, Elsevier, vol. 66(C), pages 523-534.
    10. Peter Christoffersen & Jeremy Berkowitz & Denis Pelletier, 2008. "Evaluating Value-at-Risk Models with Desk-Level Data," CREATES Research Papers 2009-35, Department of Economics and Business Economics, Aarhus University.
    11. Farkas, Walter & Fringuellotti, Fulvia & Tunaru, Radu, 2020. "A cost-benefit analysis of capital requirements adjusted for model risk," Journal of Corporate Finance, Elsevier, vol. 65(C).
    12. Fu, Tianwen & Zhuang, Xinkai & Hui, Yongchang & Liu, Jia, 2017. "Convex risk measures based on generalized lower deviation and their applications," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 27-37.
    13. Jean-Paul Laurent & Hassan Omidi Firouzi, 2022. "Market Risk and Volatility Weighted Historical Simulation After Basel III," Working Papers hal-03679434, HAL.
    14. Alexander, Carol & Han, Yang & Meng, Xiaochun, 2023. "Static and dynamic models for multivariate distribution forecasts: Proper scoring rule tests of factor-quantile versus multivariate GARCH models," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1078-1096.
    15. Iulia Lupu & Ana Barbara Bobirca & Paul Gabriel Miclaus & Tudor Ciumara, 2020. "Risk Management of Companies Included in the EURO STOXX Sustainability Index. An Investors' Perception," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 22(55), pages 707-707, August.
    16. Fernanda Maria Müller & Marcelo Brutti Righi, 2024. "Comparison of Value at Risk (VaR) Multivariate Forecast Models," Computational Economics, Springer;Society for Computational Economics, vol. 63(1), pages 75-110, January.
    17. Christophe BOUCHER & Grégory JANNIN & Patrick KOUONTCHOU & Bertrand MAILLET, 2013. "An Economic Evaluation of Model Risk In Long-term Asset Allocations," LEO Working Papers / DR LEO 2246, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    18. 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.
    19. Ibrahim, Awad Elsayed Awad & Hussainey, Khaled & Nawaz, Tasawar & Ntim, Collins & Elamer, Ahmed, 2022. "A systematic literature review on risk disclosure research: State-of-the-art and future research agenda," International Review of Financial Analysis, Elsevier, vol. 82(C).
    20. Hammoudeh, Shawkat & Araújo Santos, Paulo & Al-Hassan, Abdullah, 2013. "Downside risk management and VaR-based optimal portfolios for precious metals, oil and stocks," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 318-334.
    21. Embrechts, Paul & Puccetti, Giovanni & Rüschendorf, Ludger, 2013. "Model uncertainty and VaR aggregation," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2750-2764.
    22. Hasan, Iftekhar & Siddique, Akhtar & Sun, Xian, 2015. "Monitoring the “invisible” hand of market discipline: Capital adequacy revisited," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 475-492.
    23. Grassa, Rihab & Moumen, Nejia & Hussainey, Khaled, 2020. "Is bank creditworthiness associated with risk disclosure behavior? Evidence from Islamic and conventional banks in emerging countries," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    24. Al-Hadi, Ahmed & Al-Yahyaee, Khamis Hamed & Hussain, Syed Mujahid & Taylor, Grantley, 2019. "Market risk disclosures and corporate governance structure: Evidence from GCC financial firms," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 136-150.
    25. Alexander, Gordon J. & Baptista, Alexandre M. & Yan, Shu, 2012. "Bank regulation and stability: An examination of the Basel market risk framework," Discussion Papers 09/2012, Deutsche Bundesbank.
    26. Alexander, Gordon J. & Baptista, Alexandre M. & Yan, Shu, 2013. "A comparison of the original and revised Basel market risk frameworks for regulating bank capital," Journal of Economic Behavior & Organization, Elsevier, vol. 85(C), pages 249-268.
    27. Haugom, Erik & Ray, Rina & Ullrich, Carl J. & Veka, Steinar & Westgaard, Sjur, 2016. "A parsimonious quantile regression model to forecast day-ahead value-at-risk," Finance Research Letters, Elsevier, vol. 16(C), pages 196-207.
    28. Mei-Ling Tang & Trung K. Do, 2019. "In search of robust methods for multi-currency portfolio construction by value at risk," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 26(1), pages 107-126, March.
    29. Khandani, Amir E. & Kim, Adlar J. & Lo, Andrew W., 2010. "Consumer credit-risk models via machine-learning algorithms," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2767-2787, November.
    30. Louzis, Dimitrios P. & Xanthopoulos-Sisinis, Spyros & Refenes, Apostolos P., 2014. "Realized volatility models and alternative Value-at-Risk prediction strategies," Economic Modelling, Elsevier, vol. 40(C), pages 101-116.
    31. Alejandro Bernales & Diether W. Beuermann & Gonzalo Cortazar, 2014. "Thinly traded securities and risk management," Estudios de Economia, University of Chile, Department of Economics, vol. 41(1 Year 20), pages 5-48, June.
    32. Malafronte, Irma & Porzio, Claudio & Starita, Maria Grazia, 2016. "The nature and determinants of disclosure practices in the insurance industry: Evidence from European insurers," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 367-382.
    33. Ledermann, Daniel & Alexander, Carol, 2012. "Further properties of random orthogonal matrix simulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 83(C), pages 56-79.
    34. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2011. "Financial Risk Measurement for Financial Risk Management," PIER Working Paper Archive 11-037, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    35. 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.
    36. Ewa Ratuszny, 2015. "Risk Modeling of Commodities using CAViaR Models, the Encompassing Method and the Combined Forecasts," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 15, pages 129-156.
    37. Carol Alexander & Jose Maria Sarabia, 2010. "Endogenizing Model Risk to Quantile Estimates," ICMA Centre Discussion Papers in Finance icma-dp2010-07, Henley Business School, University of Reading.
    38. Alexander, Gordon J. & Baptista, Alexandre M. & Yan, Shu, 2012. "When more is less: Using multiple constraints to reduce tail risk," Journal of Banking & Finance, Elsevier, vol. 36(10), pages 2693-2716.
    39. O’Brien, James & Szerszeń, Paweł J., 2017. "An evaluation of bank measures for market risk before, during and after the financial crisis," Journal of Banking & Finance, Elsevier, vol. 80(C), pages 215-234.
    40. Cristina Danciulescu, 2010. "Backtesting Value-at-Risk Models: A Multivariate Approach," CAEPR Working Papers 2010-004, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    41. Pang, Li-Ping & Chen, Shuang & Wang, Jin-He, 2015. "Risk management in portfolio applications of non-convex stochastic programming," Applied Mathematics and Computation, Elsevier, vol. 258(C), pages 565-575.
    42. Simone Varotto, 2011. "Liquidity Risk, Credit Risk, Market Risk and Bank Capital," ICMA Centre Discussion Papers in Finance icma-dp2011-02, Henley Business School, University of Reading.
    43. Höring, Dirk & Gründl, Helmut, 2011. "Investigating risk disclosure practices in the European insurance industry," ICIR Working Paper Series 02/11, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).
    44. Pérignon, Christophe & Deng, Zi Yin & Wang, Zhi Jun, 2008. "Do banks overstate their Value-at-Risk?," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 783-794, May.
    45. Aramonte, Sirio & Giudice Rodriguez, Marius del & Wu, Jason, 2013. "Dynamic factor Value-at-Risk for large heteroskedastic portfolios," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4299-4309.
    46. Christophe Hurlin & Christophe Pérignon, 2012. "Margin Backtesting," Working Papers halshs-00746274, HAL.
    47. Michael B. Gordy & Alexander J. McNeil, 2018. "Spectral Backtests of Forecast Distributions with Application to Risk Management," Finance and Economics Discussion Series 2018-021, Board of Governors of the Federal Reserve System (U.S.).
    48. Tobias Schlüter & Thomas Hartmann-Wendels & Tim Weber & Michael Zander, 2014. "Die Risikoberichterstattung deutscher Banken: Erhebung des Branchenstandards," Schmalenbach Journal of Business Research, Springer, vol. 66(5), pages 386-427, August.
    49. Seixas, Mário & Barbosa, António, 2019. "Optimal Value-at-Risk Disclosure," MPRA Paper 97526, University Library of Munich, Germany.
    50. Kratz , Marie, 2013. "There is a VaR Beyond Usual Approximations," ESSEC Working Papers WP1317, ESSEC Research Center, ESSEC Business School.
    51. Katherine Uylangco & Siqiwen Li, 2016. "An evaluation of the effectiveness of Value-at-Risk (VaR) models for Australian banks under Basel III," Australian Journal of Management, Australian School of Business, vol. 41(4), pages 699-718, November.
    52. Benjamin Mögel & Benjamin R. Auer, 2018. "How accurate are modern Value-at-Risk estimators derived from extreme value theory?," Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 979-1030, May.
    53. Ralf Sabiwalsky, 2012. "Does Basel II Pillar 3 Risk Exposure Data help to Identify Risky Banks?," SFB 649 Discussion Papers SFB649DP2012-008, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    54. Juan Ignacio Pe~na & Rosa Rodriguez & Silvia Mayoral, 2022. "Tail Risk of Electricity Futures," Papers 2202.01732, arXiv.org.
    55. Trapp, Rouven & Weiß, Gregor N.F., 2016. "Derivatives usage, securitization, and the crash sensitivity of bank stocks," Journal of Banking & Finance, Elsevier, vol. 71(C), pages 183-205.
    56. James M. O'Brien & Pawel J. Szerszen, 2014. "An Evaluation of Bank VaR Measures for Market Risk During and Before the Financial Crisis," Finance and Economics Discussion Series 2014-21, Board of Governors of the Federal Reserve System (U.S.).
    57. Srivastav, Abhishek & Keasey, Kevin & Mollah, Sabur & Vallascas, Francesco, 2017. "CEO turnover in large banks: Does tail risk matter?," Journal of Accounting and Economics, Elsevier, vol. 64(1), pages 37-55.
    58. Fries, Christian P. & Nigbur, Tobias & Seeger, Norman, 2017. "Displaced relative changes in historical simulation: Application to risk measures of interest rates with phases of negative rates," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 175-198.
    59. Fernanda Maria Müller & Marcelo Brutti Righi, 2018. "Numerical comparison of multivariate models to forecasting risk measures," Risk Management, Palgrave Macmillan, vol. 20(1), pages 29-50, February.
    60. Müller, Fernanda Maria & Santos, Samuel Solgon & Righi, Marcelo Brutti, 2023. "A description of the COVID-19 outbreak role in financial risk forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    61. Apergis, Emmanuel & Apergis, Iraklis & Apergis, Nicholas, 2019. "A new macro stress testing approach for financial realignment in the Eurozone," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 52-80.
    62. Marcelo Brutti Righi & Paulo Sergio Ceretta, 2015. "Shortfall Deviation Risk: An alternative to risk measurement," Papers 1501.02007, arXiv.org, revised May 2016.
    63. Dominique Guegan & Bertrand K. Hassani & Kehan Li, 2016. "A robust confidence interval of historical Value-at-Risk for small sample," Documents de travail du Centre d'Economie de la Sorbonne 16034, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    64. Alexander, Gordon J. & Baptista, Alexandre M. & Yan, Shu, 2014. "Bank regulation and international financial stability: A case against the 2006 Basel framework for controlling tail risk in trading books," Journal of International Money and Finance, Elsevier, vol. 43(C), pages 107-130.
    65. Dominique Guegan & Bertrand K. Hassani & Kehan Li, 2016. "Measuring risks in the extreme tail: The extreme VaR and its confidence interval," Documents de travail du Centre d'Economie de la Sorbonne 16034rr, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Jan 2017.
    66. Basu, Sanjay, 2011. "Comparing simulation models for market risk stress testing," European Journal of Operational Research, Elsevier, vol. 213(1), pages 329-339, August.
    67. Gambacorta, Leonardo & Polizzi, Salvatore & Reghezza, Alessio & Scannella, Enzo, 2023. "Do banks practice what they preach? Brown lending and environmental disclosure in the euro area," Working Paper Series 2872, European Central Bank.
    68. Dominique Guegan & Bertrand Hassani & Kehan Li, 2017. "Measuring risks in the extreme tail: The extreme VaR and its confidence interval," Post-Print halshs-01317391, HAL.
    69. Hood, Matthew & Malik, Farooq, 2018. "Estimating downside risk in stock returns under structural breaks," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 102-112.
    70. Escanciano, Juan Carlos & Pei, Pei, 2012. "Pitfalls in backtesting Historical Simulation VaR models," Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2233-2244.
    71. Sorwar, Ghulam & Dowd, Kevin, 2010. "Estimating financial risk measures for options," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1982-1992, August.
    72. Pablo Farías, 2014. "Divulgación del valor en riesgo (VaR) previo a la crisis en el sector bancario espanol," Revista Ad-Minister, Universidad EAFIT, July.
    73. Dominique Guegan & Bertrand K. Hassani & Kehan Li, 2016. "Uncertainty in historical Value-at-Risk: an alternative quantile-based risk measure," Post-Print halshs-01277880, HAL.
    74. Dominique Guegan & Bertrand Hassani & Kehan Li, 2017. "Impact of multimodality of distributions on VaR and ES calculations," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01491990, HAL.
    75. Aljinović Zdravka & Trgo Andrea, 2018. "CVaR in Measuring Sector's Risk on the Croatian Stock Exchange," Business Systems Research, Sciendo, vol. 9(2), pages 8-17, July.
    76. Dominique Guegan & Bertrand K. Hassani & Kehan Li, 2016. "Uncertainty in historical Value-at-Risk: an alternative quantile-based risk measure," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01277880, HAL.
    77. Righi, Marcelo Brutti & Ceretta, Paulo Sergio, 2015. "A comparison of Expected Shortfall estimation models," Journal of Economics and Business, Elsevier, vol. 78(C), pages 14-47.
    78. Christophe Boucher & Jon Danielsson & Patrick Kouontchou & Bertrand Maillet, 2014. "Risk models-at-risk," Post-Print hal-02312332, HAL.
    79. Carol Alexander & Walter Ledermann & Daniel Ledermann, 2009. "Exact Moment Simulation using Random Orthogonal Matrices," ICMA Centre Discussion Papers in Finance icma-dp2009-09, Henley Business School, University of Reading.
    80. Peña, Juan Ignacio & Rodríguez, Rosa & Mayoral, Silvia, 2020. "Tail risk of electricity futures," Energy Economics, Elsevier, vol. 91(C).
    81. Ormazabal, Gaizka & Barth, Mary E. & Badia, Marc & Duro, Miguel, 2017. "Firm Risk and Disclosures about Dispersion in Asset Values:," CEPR Discussion Papers 12144, C.E.P.R. Discussion Papers.
    82. Hidaya Al Lawati, 2022. "Politically Connected Firms and Forward-Looking Disclosure in the Era of Oman Vision 2040," JRFM, MDPI, vol. 15(6), pages 1-22, May.
    83. Al-Hadi, Ahmed & Taylor, Grantley & Hossain, Mahmud, 2015. "Disaggregation, auditor conservatism and implied cost of equity capital: An international evidence from the GCC," Journal of Multinational Financial Management, Elsevier, vol. 29(C), pages 66-98.
    84. Mai Jan-Frederik & Schenk Steffen & Scherer Matthias, 2015. "Analyzing model robustness via a distortion of the stochastic root: A Dirichlet prior approach," Statistics & Risk Modeling, De Gruyter, vol. 32(3-4), pages 177-195, December.
    85. Marie Kratz, 2013. "There is a VaR beyond usual approximations," Papers 1311.0270, arXiv.org.
    86. Nikola Radivojević & Nikola V. Ćurčić & Djurdjica Dj. Vukajlović, 2017. "Hull-White’s value at risk model: case study of Baltic equities market," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(5), pages 1023-1041, September.
    87. Wang, Jying-Nan & Du, Jiangze & Hsu, Yuan-Teng, 2018. "Measuring long-term tail risk: Evaluating the performance of the square-root-of-time rule," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 120-138.
    88. Alexander, Carol & Lazar, Emese & Stanescu, Silvia, 2013. "Forecasting VaR using analytic higher moments for GARCH processes," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 36-45.
    89. Carol Alexander & Emese Lazar & Silvia Stanescu, 2011. "Analytic Approximations to GARCH Aggregated Returns Distributions with Applications to VaR and ETL," ICMA Centre Discussion Papers in Finance icma-dp2011-08, Henley Business School, University of Reading.
    90. 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.
    91. Thor Pajhede, 2015. "Backtesting Value-at-Risk: A Generalized Markov Framework," Discussion Papers 15-18, University of Copenhagen. Department of Economics.
    92. Waqas Ali & Shujahat Ali & Shahid Mehmood, 2020. "Effect of Risk Management Practices on Banks Performance Moderating Role of Managerial Expertise as a Competitive Edge," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 16(1), pages 88-100.
    93. Wang, Jying-Nan & Yeh, Jin-Huei & Cheng, Nick Ying-Pin, 2011. "How accurate is the square-root-of-time rule in scaling tail risk: A global study," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1158-1169, May.
    94. Xin Chen & Zhangming Shan & Decai Tang & Biao Zhou & Valentina Boamah, 2023. "Interest rate risk of Chinese commercial banks based on the GARCH-EVT model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    95. Zhang, Hanxiong & Auer, Benjamin R. & Vortelinos, Dimitrios I., 2018. "Performance ranking (dis)similarities in commodity markets," Global Finance Journal, Elsevier, vol. 35(C), pages 115-137.
    96. Carol Alexander & Michael Coulon & Yang Han & Xiaochun Meng, 2021. "Evaluating the Discrimination Ability of Proper Multivariate Scoring Rules," Papers 2101.12693, arXiv.org.
    97. Kostas Andriosopoulos & Nikos Nomikos, 2012. "Risk management in the energy markets and Value-at-Risk modelling: a Hybrid approach," RSCAS Working Papers 2012/47, European University Institute.
    98. Lars Ericson & Xuejun Zhu & Xusi Han & Rao Fu & Shuang Li & Steve Guo & Ping Hu, 2024. "Deep Generative Modeling for Financial Time Series with Application in VaR: A Comparative Review," Papers 2401.10370, arXiv.org.
    99. Chen, Zhiping & Yang, Li, 2011. "Nonlinearly weighted convex risk measure and its application," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1777-1793, July.
    100. Lwin, Khin T. & Qu, Rong & MacCarthy, Bart L., 2017. "Mean-VaR portfolio optimization: A nonparametric approach," European Journal of Operational Research, Elsevier, vol. 260(2), pages 751-766.
    101. Dominique Guegan & Bertrand Hassani & Kehan Li, 2017. "Impact of multimodality of distributions on VaR and ES calculations," Post-Print halshs-01491990, HAL.
    102. Dominique Guegan & Bertrand K. Hassani & Kehan Li, 2016. "Uncertainty in historical Value-at-Risk: an alternative quantile-based risk measure," Documents de travail du Centre d'Economie de la Sorbonne 16006, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    103. Miihkinen, Antti, 2013. "The usefulness of firm risk disclosures under different firm riskiness, investor-interest, and market conditions: New evidence from Finland," Advances in accounting, Elsevier, vol. 29(2), pages 312-331.
    104. Dominique Guegan & Bertrand Hassani & Kehan Li, 2017. "Impact of multimodality of distributions on VaR and ES calculations," Documents de travail du Centre d'Economie de la Sorbonne 17019, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    105. Al-Hadi, Ahmed & Taylor, Grantley & Al-Yahyaee, Khamis Hamed, 2016. "Ruling Family Political Connections and Risk Reporting: Evidence from the GCC," The International Journal of Accounting, Elsevier, vol. 51(4), pages 504-524.
    106. Chavez-Demoulin, V. & Embrechts, P. & Sardy, S., 2014. "Extreme-quantile tracking for financial time series," Journal of Econometrics, Elsevier, vol. 181(1), pages 44-52.
    107. Pablo Cristini Guedes & Fernanda Maria Müller & Marcelo Brutti Righi, 2023. "Risk measures-based cluster methods for finance," Risk Management, Palgrave Macmillan, vol. 25(1), pages 1-56, March.
    108. Dominique Guegan & Bertrand Hassani & Kehan Li, 2017. "Measuring risks in the extreme tail: The extreme VaR and its confidence interval," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01317391, HAL.
    109. Mahmoud Haddad & Sam Hakim, 2014. "Using Risk Disclosures of Lage GCC Bank to Evaluate Information Content," Working Papers 863, Economic Research Forum, revised Nov 2014.
    110. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    111. Moumen, Néjia & Ben Othman, Hakim & Hussainey, Khaled, 2015. "The value relevance of risk disclosure in annual reports: Evidence from MENA emerging markets," Research in International Business and Finance, Elsevier, vol. 34(C), pages 177-204.
    112. Sant’Anna, Leonardo Riegel & Righi, Marcelo Brutti & Müller, Fernanda Maria & Guedes, Pablo Cristini, 2022. "Risk measure index tracking model," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 361-383.
    113. Cabrales Goitia, Antonio & Lugo, Haydeé, 2011. "An impure public good model with lotteries in large groups," UC3M Working papers. Economics we1107, Universidad Carlos III de Madrid. Departamento de Economía.
    114. IORGULESCU Filip, 2012. "The Stylized Facts Of Asset Returns And Their Impact On Value-At-Risk Models," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 0(4), pages 360-368.
    115. Yang, Huan & Cai, Jun & Huang, Lin & Marcus, Alan J., 2021. "Bank stocks, risk factors, and tail behavior," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 203-229.
    116. Carol Alexander & Daniel Ledermann, 2012. "ROM Simulation: Applications to Stress Testing and VaR," ICMA Centre Discussion Papers in Finance icma-dp2012-09, Henley Business School, University of Reading.
    117. Yun-Shi Dai & Peng-Fei Dai & Wei-Xing Zhou, 2023. "Tail dependence structure and extreme risk spillover effects between the international agricultural futures and spot markets," Papers 2303.11030, arXiv.org.
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    1. 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.
    2. Wellmann, Dennis & Trück, Stefan, 2018. "Factors of the term structure of sovereign yield spreads," Journal of International Money and Finance, Elsevier, vol. 81(C), pages 56-75.
    3. Kapetanios, George, 2009. "Testing for strict stationarity in financial variables," Journal of Banking & Finance, Elsevier, vol. 33(12), pages 2346-2362, December.
    4. Hideyuki Takamizawa, 2015. "Predicting Interest Rate Volatility Using Information on the Yield Curve," International Review of Finance, International Review of Finance Ltd., vol. 15(3), pages 347-386, September.
    5. Tran Hoang Hai, 2020. "Estimation of volatility causality in structural autoregressions with heteroskedasticity using independent component analysis," Statistical Papers, Springer, vol. 61(1), pages 1-16, February.

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    1. Zhong, Angel, 2018. "Idiosyncratic volatility in the Australian equity market," Pacific-Basin Finance Journal, Elsevier, vol. 50(C), pages 105-125.
    2. Glenn Kit Foong Ho & Sirimon Treepongkaruna & Marvin Wee & Chaiyuth Padungsaksawasdi, 2022. "The effect of short selling on volatility and jumps," Australian Journal of Management, Australian School of Business, vol. 47(1), pages 34-52, February.
    3. Angel Zhong, 2022. "Institutional trading in stock market anomalies in Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(1), pages 893-930, March.

  2. Rubin, Amir & Smith, Daniel R., 2011. "Comparing different explanations of the volatility trend," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1581-1597, June.
    See citations under working paper version above.
  3. Gaglianone, Wagner Piazza & Lima, Luiz Renato & Linton, Oliver & Smith, Daniel R., 2011. "Evaluating Value-at-Risk Models via Quantile Regression," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 150-160.
    See citations under working paper version above.
  4. Pérignon, Christophe & Smith, Daniel R., 2010. "The level and quality of Value-at-Risk disclosure by commercial banks," Journal of Banking & Finance, Elsevier, vol. 34(2), pages 362-377, February.
    See citations under working paper version above.
  5. Pérignon, Christophe & Smith, Daniel R., 2010. "Diversification and Value-at-Risk," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 55-66, January.

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    1. Fu, Tianwen & Zhuang, Xinkai & Hui, Yongchang & Liu, Jia, 2017. "Convex risk measures based on generalized lower deviation and their applications," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 27-37.
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    3. Iulia Lupu & Ana Barbara Bobirca & Paul Gabriel Miclaus & Tudor Ciumara, 2020. "Risk Management of Companies Included in the EURO STOXX Sustainability Index. An Investors' Perception," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 22(55), pages 707-707, August.
    4. 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.
    5. Med Imen Gallali & Raggad Zahraa, 2012. "Evaluation of VaR models' forecasting performance: the case of oil markets," International Journal of Financial Services Management, Inderscience Enterprises Ltd, vol. 5(3), pages 197-215.
    6. Ignatieva, Katja & Landsman, Zinoviy, 2019. "Conditional tail risk measures for the skewed generalised hyperbolic family," Insurance: Mathematics and Economics, Elsevier, vol. 86(C), pages 98-114.
    7. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2011. "Financial Risk Measurement for Financial Risk Management," PIER Working Paper Archive 11-037, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    8. Byers, J.W. & Popova, I. & Simkins, B.J., 2021. "Robust estimation of conditional risk measures using machine learning algorithm for commodity futures prices in the presence of outliers," Journal of Commodity Markets, Elsevier, vol. 24(C).
    9. Frésard, Laurent & Pérignon, Christophe & Wilhelmsson, Anders, 2011. "The pernicious effects of contaminated data in risk management," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2569-2583, October.
    10. O’Brien, James & Szerszeń, Paweł J., 2017. "An evaluation of bank measures for market risk before, during and after the financial crisis," Journal of Banking & Finance, Elsevier, vol. 80(C), pages 215-234.
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    14. Katherine Uylangco & Siqiwen Li, 2016. "An evaluation of the effectiveness of Value-at-Risk (VaR) models for Australian banks under Basel III," Australian Journal of Management, Australian School of Business, vol. 41(4), pages 699-718, November.
    15. Wentao Hu, 2019. "SlideVaR: a risk measure with variable risk attitudes," Papers 1907.11855, arXiv.org.
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    17. Fries, Christian P. & Nigbur, Tobias & Seeger, Norman, 2017. "Displaced relative changes in historical simulation: Application to risk measures of interest rates with phases of negative rates," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 175-198.
    18. Holod, Dmytro & Kitsul, Yuriy & Torna, Gökhan, 2020. "Market risk-based capital requirements, trading activity, and bank risk," Journal of Banking & Finance, Elsevier, vol. 112(C).
    19. Basu, Sanjay, 2011. "Comparing simulation models for market risk stress testing," European Journal of Operational Research, Elsevier, vol. 213(1), pages 329-339, August.
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    21. Cheng, Maoyong & Zhao, Hong & Zhou, Mingming, 2020. "Foreign Strategic Investors, State Ownership, and Non-interest Activities: Evidence from China," Journal of Financial Stability, Elsevier, vol. 50(C).
    22. Righi, Marcelo Brutti & Ceretta, Paulo Sergio, 2015. "A comparison of Expected Shortfall estimation models," Journal of Economics and Business, Elsevier, vol. 78(C), pages 14-47.
    23. Al-Hadi, Ahmed & Taylor, Grantley & Hossain, Mahmud, 2015. "Disaggregation, auditor conservatism and implied cost of equity capital: An international evidence from the GCC," Journal of Multinational Financial Management, Elsevier, vol. 29(C), pages 66-98.
    24. Huang, Wei & Liu, Qianqiu & Ghon Rhee, S. & Wu, Feng, 2012. "Extreme downside risk and expected stock returns," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1492-1502.
    25. Wang, Jying-Nan & Du, Jiangze & Hsu, Yuan-Teng, 2018. "Measuring long-term tail risk: Evaluating the performance of the square-root-of-time rule," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 120-138.
    26. Liu, Qingfu & Tse, Yiuman, 2017. "Overnight returns of stock indexes: Evidence from ETFs and futures," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 440-451.
    27. Wang, Jying-Nan & Yeh, Jin-Huei & Cheng, Nick Ying-Pin, 2011. "How accurate is the square-root-of-time rule in scaling tail risk: A global study," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1158-1169, May.
    28. Wang, Qiyu & Huang, Wenli & Wu, Xin & Zhang, Chao, 2019. "How effective is the tail mean-variance model in the fund of fund selection? An empirical study using various risk measures," Finance Research Letters, Elsevier, vol. 29(C), pages 239-244.
    29. Wentao Hu & Cuixia Chen & Yufeng Shi & Ze Chen, 2022. "A Tail Measure With Variable Risk Tolerance: Application in Dynamic Portfolio Insurance Strategy," Methodology and Computing in Applied Probability, Springer, vol. 24(2), pages 831-874, June.
    30. Chen, Zhiping & Yang, Li, 2011. "Nonlinearly weighted convex risk measure and its application," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1777-1793, July.
    31. Adams, Zeno & Füss, Roland & Glück, Thorsten, 2017. "Are correlations constant? Empirical and theoretical results on popular correlation models in finance," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 9-24.
    32. Al-Hadi, Ahmed & Taylor, Grantley & Al-Yahyaee, Khamis Hamed, 2016. "Ruling Family Political Connections and Risk Reporting: Evidence from the GCC," The International Journal of Accounting, Elsevier, vol. 51(4), pages 504-524.
    33. Guillén, Montserrat & Sarabia, José María & Prieto, Faustino, 2013. "Simple risk measure calculations for sums of positive random variables," Insurance: Mathematics and Economics, Elsevier, vol. 53(1), pages 273-280.
    34. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    35. Anatoly B. Schmidt, 2019. "Managing portfolio diversity within the mean variance theory," Annals of Operations Research, Springer, vol. 282(1), pages 315-329, November.

  6. Smith Daniel R, 2009. "Asymmetry in Stochastic Volatility Models: Threshold or Correlation?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(3), pages 1-36, May.

    Cited by:

    1. Mao, Xiuping & Ruiz Ortega, Esther & Lopes Moreira Da Veiga, María Helena, 2013. "One for all : nesting asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS ws131110, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Listorti, Giulia & Esposti, Roberto, 2012. "Horizontal Price Transmission in Agricultural Markets: Fundamental Concepts and Open Empirical Issues," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(1), pages 1-28, April.
    3. Dendramis, Yiannis & Kapetanios, George & Tzavalis, Elias, 2015. "Shifts in volatility driven by large stock market shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 55(C), pages 130-147.
    4. Heejoon Han & Eunhee Lee, 2020. "Triple Regime Stochastic Volatility Model with Threshold and Leverage Effects," Korean Economic Review, Korean Economic Association, vol. 36, pages 481-509.
    5. Mao, Xiuping & Ruiz, Esther & Veiga, Helena, 2017. "Threshold stochastic volatility: Properties and forecasting," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1105-1123.

  7. Rubin, Amir & Smith, Daniel R., 2009. "Institutional ownership, volatility and dividends," Journal of Banking & Finance, Elsevier, vol. 33(4), pages 627-639, April.

    Cited by:

    1. Itzhak Venezia & Amrut Nashikkar & Zur Shapira, 2011. "Firm specific and macro herding by professional and amateur investors and their effects on market volatility," Discussion Paper Series dp586, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    2. Venezia, Itzhak & Nashikkar, Amrut & Shapira, Zur, 2011. "Firm specific and macro herding by professional and amateur investors and their effects on market volatility," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1599-1609, July.
    3. Edison Yu, 2013. "Dynamic market participation and endogenous information aggregation," Working Papers 13-42, Federal Reserve Bank of Philadelphia.
    4. Jia Jia Hing & Yee Peng Chow, 2022. "Influence of institutional investor heterogeneity on stock liquidity and its underlying liquidity channels," International Journal of Business and Emerging Markets, Inderscience Enterprises Ltd, vol. 14(3), pages 252-278.
    5. Huang, Wei & Paul, Donna L., 2017. "Institutional holdings, investment opportunities and dividend policy," The Quarterly Review of Economics and Finance, Elsevier, vol. 64(C), pages 152-161.
    6. Yufen Fu & George W. Blazenko, 2015. "Returns for Dividend-Paying and Non Dividend Paying Firms," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 9(2), pages 1-20.
    7. Renneboog, Luc & Trojanowski, Grzegorz, 2011. "Patterns in payout policy and payout channel choice," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1477-1490, June.
    8. Oleksy Paweł & Zyguła Andrzej, 2017. "The Effect of Ownership Structure on Dividend Policy and Shareholder Value: A Financialisation Perspective on Construction Companies in Poland," Central European Economic Journal, Sciendo, vol. 3(50), pages 41-52, December.
    9. Shu Ling Lin & Jun Lu & Jung-Bin Su & Wei-Peng Chen, 2018. "Sustainable Returns: The Effect of Regional Industrial Development Policy on Institutional Investors’ Behavior in China," Sustainability, MDPI, vol. 10(8), pages 1-28, August.
    10. Vo, Xuan Vinh, 2016. "Does institutional ownership increase stock return volatility? Evidence from Vietnam," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 54-61.
    11. Yin Hong, 2011. "Positive feedback trading, institutional investors and securities price fluctuation," China Finance Review International, Emerald Group Publishing Limited, vol. 1(2), pages 120-132, January.
    12. Umar Butt & Trevor William Chamberlain, 2023. "Blockholdings, Dividend Policy, Stock Returns and Return Volatility: Evidence from the UAE," IJFS, MDPI, vol. 11(4), pages 1-13, October.
    13. Elyasiani, Elyas & Jia, Jingyi, 2010. "Distribution of institutional ownership and corporate firm performance," Journal of Banking & Finance, Elsevier, vol. 34(3), pages 606-620, March.
    14. Håkan Jankensgård & Anders Vilhelmsson, 2018. "The Shareholder Base Hypothesis of Stock Return Volatility: Empirical Evidence," Financial Management, Financial Management Association International, vol. 47(1), pages 55-79, March.
    15. Chuang, Wen-I & Susmel, Rauli, 2011. "Who is the more overconfident trader? Individual vs. institutional investors," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1626-1644, July.
    16. Rahman, Dewan & Malik, Ihtisham & Ali, Searat & Iqbal, Jamshed, 2021. "Do co-opted boards increase insider profitability?," Journal of Contemporary Accounting and Economics, Elsevier, vol. 17(3).
    17. Ferris, Stephen P. & Jayaraman, Narayanan & Sabherwal, Sanjiv, 2009. "Catering effects in corporate dividend policy: The international evidence," Journal of Banking & Finance, Elsevier, vol. 33(9), pages 1730-1738, September.
    18. Gaitán, Sandra & Herrera-Echeverri, Hernán & Pablo, Eduardo, 2018. "How corporate governance affects productivity in civil-law business environments: Evidence from Latin America," Global Finance Journal, Elsevier, vol. 37(C), pages 173-185.
    19. Guha Deb, Soumya, 2018. "Institutional Investors and firm characteristics: New evidence from India," Research in International Business and Finance, Elsevier, vol. 46(C), pages 30-42.
    20. Qureshi, Fiza & Kutan, Ali M. & Ismail, Izlin & Gee, Chan Sok, 2017. "Mutual funds and stock market volatility: An empirical analysis of Asian emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 176-192.
    21. Chanchal Chatterjee & Paromita Dutta, 2017. "Price Behaviour Around Dividend Announcements in the Indian Equity Market in the Existence of Corporate Dividend Tax," Global Business Review, International Management Institute, vol. 18(2), pages 402-415, April.
    22. Harper, Joel T. & Iyer, Subramanian Rama & Nejadmalayeri, Ali, 2017. "Diversification discount and investor sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 218-236.
    23. Han Smit & Enrico Pennings & Sjoerd Bekkum, 2017. "Real options and institutions," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 48(5), pages 620-644, July.
    24. Hasan, Mostafa Monzur & Uddin, Mohammad Riaz, 2022. "Do intangibles matter for corporate policies? Evidence from organization capital and corporate payout choices," Journal of Banking & Finance, Elsevier, vol. 135(C).
    25. Shahzad Hussain & Syed Muhammad Amir Shah, 2017. "Corporate Governance and Downside Systematic Risk with a Moderating Role of Socio-Political in Pakistan," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 9(4), pages 233-258, December.
    26. Amir Rubin & Daniel Smith, 2010. "Comparing Different Explanations of the Volatility Trend," NCER Working Paper Series 68, National Centre for Econometric Research.
    27. Farid Radmehr & Tolga Cenesizoglu, 2019. "The Causal Effect of Institutional Ownership on Firm Level Risk Characteristics," Cahiers de recherche / Working Papers 2, Institut sur la retraite et l'épargne / Retirement and Savings Institute.
    28. Chung, Dennis & Hrazdil, Karel, 2010. "Liquidity and market efficiency: A large sample study," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2346-2357, October.
    29. Thomas, Ashok & Spataro, Luca & Mathew, Nanditha, 2014. "Pension funds and stock market volatility: An empirical analysis of OECD countries," Journal of Financial Stability, Elsevier, vol. 11(C), pages 92-103.
    30. Lee, Dong Wook & Liu, Mark H., 2011. "Does more information in stock price lead to greater or smaller idiosyncratic return volatility?," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1563-1580, June.
    31. Tuijp, Patrick, 2016. "The pricing of illiquidity and illiquid assets : Essays on empirical asset pricing," Other publications TiSEM cc548ebe-e34d-44c7-ac7c-a, Tilburg University, School of Economics and Management.
    32. Roll, Richard & Subrahmanyam, Avanidhar, 2010. "Liquidity skewness," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2562-2571, October.
    33. Wang, Li-Hsun & Lin, Chu-Hsiung & Fung, Hung-Gay & Chen, Hsien-Ming, 2015. "Governance mechanisms and downside risk," Pacific-Basin Finance Journal, Elsevier, vol. 35(PB), pages 485-498.
    34. Belghitar, Yacine & Clark, Ephraim & Kassimatis, Konstantino, 2011. "The prudential effect of strategic institutional ownership on stock performance," International Review of Financial Analysis, Elsevier, vol. 20(4), pages 191-199, August.
    35. Mu-Shun Wang, 2022. "Shareholder Disputes and Commonality in Liquidity: Evidence from the Equity Markets in China," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(2), pages 291-325, June.

  8. Daniel R. Smith, 2008. "Evaluating Specification Tests for Markov‐Switching Time‐Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(4), pages 629-652, July.

    Cited by:

    1. Trottier, Denis-Alexandre & Lai, Van Son & Godin, Frédéric, 2019. "A characterization of CAT bond performance indices," Finance Research Letters, Elsevier, vol. 28(C), pages 431-437.
    2. Gerdesmeier, Dieter & Reimers, Hans-Eggert & Roffia, Barbara, 2015. "Consumer and asset prices: Some recent evidence," Wismar Discussion Papers 01/2015, Hochschule Wismar, Wismar Business School.
    3. Denis-Alexandre Trottier & Van Son Lai & Frédéric Godin, 2020. "A Characterization of CAT Bond Performance Indices," Working Papers 2020-008, Department of Research, Ipag Business School.
    4. Park, JaeHyun & Hong, TaeHoon, 2013. "Analysis of South Korea’s economic growth, carbon dioxide emission, and energy consumption using the Markov switching model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 543-551.
    5. Willem H. Boshoff & Rossouw van Jaarsveld, 2019. "Recurrent Collusion: Cartel Episodes and Overcharges in the South African Cement Market," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 54(2), pages 353-380, March.
    6. Joanna Janczura & Rafał Weron, 2013. "Goodness-of-fit testing for the marginal distribution of regime-switching models with an application to electricity spot prices," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(3), pages 239-270, July.
    7. Monica Billio & Silvestro Di Sanzo, 2006. "Granger-causality in Markov Switching Models," Working Papers 2006_20, Department of Economics, University of Venice "Ca' Foscari".
    8. Chourdakis, Kyriakos & Dendramis, Yiannis & Tzavalis, Elias, 2014. "Are regime-shift sources of risk priced in the market?," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 151-170.
    9. Marco Bazzi & Francisco Blasques & Siem Jan Koopman & Andre Lucas, 2017. "Time-Varying Transition Probabilities for Markov Regime Switching Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(3), pages 458-478, May.
    10. Chevallier, Julien, 2012. "Global imbalances, cross-market linkages, and the financial crisis: A multivariate Markov-switching analysis," Economic Modelling, Elsevier, vol. 29(3), pages 943-973.
    11. Haas, Markus & Liu, Ji-Chun, 2015. "Theory for a Multivariate Markov--switching GARCH Model with an Application to Stock Markets," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112855, Verein für Socialpolitik / German Economic Association.

  9. Philip Gray & Daniel R. Smith, 2008. "An Empirical Investigation of the Level Effect in Australian Interest Rates," Australian Journal of Management, Australian School of Business, vol. 33(1), pages 31-45, June.

    Cited by:

    1. Robert E. Marks, 2008. "The Subprime Mortgage Meltdown," Australian Journal of Management, Australian School of Business, vol. 33(1), pages 0-6, June.
    2. Vijay A. Murik, 2013. "Bond pricing with a surface of zero coupon yields," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 53(2), pages 497-512, June.
    3. Vijay A Murik, 2013. "Measuring monetary policy expectations," Australian Journal of Management, Australian School of Business, vol. 38(1), pages 49-65, April.

  10. Raymond Kan & Daniel R. Smith, 2008. "The Distribution of the Sample Minimum-Variance Frontier," Management Science, INFORMS, vol. 54(7), pages 1364-1380, July.

    Cited by:

    1. Kircher, Felix & Rösch, Daniel, 2021. "A shrinkage approach for Sharpe ratio optimal portfolios with estimation risks," Journal of Banking & Finance, Elsevier, vol. 133(C).
    2. Taras Bodnar & Holger Dette & Nestor Parolya & Erik Thors'en, 2019. "Sampling Distributions of Optimal Portfolio Weights and Characteristics in Low and Large Dimensions," Papers 1908.04243, arXiv.org, revised Apr 2023.
    3. Kourtis, Apostolos, 2014. "On the distribution and estimation of trading costs," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 104-117.
    4. Taras Bodnar & Mathias Lindholm & Vilhelm Niklasson & Erik Thors'en, 2020. "Bayesian Quantile-Based Portfolio Selection," Papers 2012.01819, arXiv.org.
    5. Mårten Gulliksson & Stepan Mazur, 2020. "An Iterative Approach to Ill-Conditioned Optimal Portfolio Selection," Computational Economics, Springer;Society for Computational Economics, vol. 56(4), pages 773-794, December.
    6. Jonathan Fletcher, 2018. "An Examination of the Benefits of Factor Investing in U.K. Stock Returns," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(4), pages 154-170, April.
    7. Alexander, Gordon J. & Baptista, Alexandre M. & Yan, Shu, 2017. "Portfolio selection with mental accounts and estimation risk," Journal of Empirical Finance, Elsevier, vol. 41(C), pages 161-186.
    8. Hsieh, Yu-Wei & Shi, Xiaoxia & Shum, Matthew, 2022. "Inference on estimators defined by mathematical programming," Journal of Econometrics, Elsevier, vol. 226(2), pages 248-268.
    9. Kan, Raymond & Lassance, Nathan & Wang, Xiaolu, 2023. "The distribution of sample mean-variance portfolio weights," LIDAM Discussion Papers LFIN 2023006, Université catholique de Louvain, Louvain Finance (LFIN).
    10. Taras Bodnar & Nestor Parolya & Erik Thors'en, 2021. "Is the empirical out-of-sample variance an informative risk measure for the high-dimensional portfolios?," Papers 2111.12532, arXiv.org.
    11. Clara Calvo & Carlos Ivorra & Vicente Liern & Blanca Pérez-Gladish, 2021. "Grading Investment Diversification Options in Presence of Non-Historical Financial Information," Mathematics, MDPI, vol. 9(6), pages 1-11, March.
    12. Hanke, Michael & Penev, Spiridon, 2018. "Comparing large-sample maximum Sharpe ratios and incremental variable testing," European Journal of Operational Research, Elsevier, vol. 265(2), pages 571-579.
    13. Taras Bodnar & Nestor Parolya & Erik Thorsen, 2021. "Dynamic Shrinkage Estimation of the High-Dimensional Minimum-Variance Portfolio," Papers 2106.02131, arXiv.org, revised Nov 2021.
    14. Taras Bodnar & Solomiia Dmytriv & Yarema Okhrin & Nestor Parolya & Wolfgang Schmid, 2020. "Statistical inference for the EU portfolio in high dimensions," Papers 2005.04761, arXiv.org.
    15. Kourtis, Apostolos & Dotsis, George & Markellos, Raphael N., 2012. "Parameter uncertainty in portfolio selection: Shrinking the inverse covariance matrix," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2522-2531.
    16. Maller, Ross & Roberts, Steven & Tourky, Rabee, 2016. "The large-sample distribution of the maximum Sharpe ratio with and without short sales," Journal of Econometrics, Elsevier, vol. 194(1), pages 138-152.
    17. Gopal K. Basak & Ravi Jagannathan & Tongshu Ma, 2009. "Jackknife Estimator for Tracking Error Variance of Optimal Portfolios," Management Science, INFORMS, vol. 55(6), pages 990-1002, June.
    18. Yen, Yu-Min & Yen, Tso-Jung, 2014. "Solving norm constrained portfolio optimization via coordinate-wise descent algorithms," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 737-759.
    19. Bodnar, Taras & Lindholm, Mathias & Niklasson, Vilhelm & Thorsén, Erik, 2022. "Bayesian portfolio selection using VaR and CVaR," Applied Mathematics and Computation, Elsevier, vol. 427(C).
    20. Francis In & Sangbae Kim, 2012. "An Introduction to Wavelet Theory in Finance:A Wavelet Multiscale Approach," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 8431, January.
    21. Jonathan Fletcher & Elizabeth Littlejohn & Andrew Marshall, 2023. "Exploring the performance of US international bond mutual funds," The Financial Review, Eastern Finance Association, vol. 58(4), pages 765-782, November.
    22. Fassino, Claudia & Torrente, Maria-Laura & Uberti, Pierpaolo, 2022. "A singular value decomposition based approach to handle ill-conditioning in optimization problems with applications to portfolio theory," Chaos, Solitons & Fractals, Elsevier, vol. 165(P1).
    23. Chulwoo Han, 2020. "How much should portfolios shrink?," Financial Management, Financial Management Association International, vol. 49(3), pages 707-740, September.
    24. Huang, Hung-Hsi & Lin, Shin-Hung & Wang, Ching-Ping & Chiu, Chia-Yung, 2014. "Adjusting MV-efficient portfolio frontier bias for skewed and non-mesokurtic returns," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 59-83.
    25. Francisco Rubio & Xavier Mestre & Daniel P. Palomar, 2011. "Performance analysis and optimal selection of large mean-variance portfolios under estimation risk," Papers 1110.3460, arXiv.org.
    26. Huang, Xiaoxia & Ying, Haiyao, 2013. "Risk index based models for portfolio adjusting problem with returns subject to experts' evaluations," Economic Modelling, Elsevier, vol. 30(C), pages 61-66.
    27. N. Meade & J. E. Beasley & C. J. Adcock, 2019. "Quantitative portfolio selection: using density forecasting to find consistent portfolios," Papers 1908.08442, arXiv.org, revised Jun 2020.
    28. Fletcher, Jonathan, 2018. "An empirical examination of the diversification benefits of U.K. international equity closed-end funds," International Review of Financial Analysis, Elsevier, vol. 55(C), pages 23-34.
    29. Bodnar, Olha & Bodnar, Taras & Parolya, Nestor, 2022. "Recent advances in shrinkage-based high-dimensional inference," Journal of Multivariate Analysis, Elsevier, vol. 188(C).
    30. David Bauder & Taras Bodnar & Nestor Parolya & Wolfgang Schmid, 2021. "Bayesian mean–variance analysis: optimal portfolio selection under parameter uncertainty," Quantitative Finance, Taylor & Francis Journals, vol. 21(2), pages 221-242, February.
    31. Bodnar Taras & Schmid Wolfgang & Zabolotskyy Tara, 2012. "Minimum VaR and minimum CVaR optimal portfolios: Estimators, confidence regions, and tests," Statistics & Risk Modeling, De Gruyter, vol. 29(4), pages 281-314, November.
    32. Guillaume Chevalier & Guillaume Coqueret & Thomas Raffinot, 2022. "Supervised portfolios," Post-Print hal-04144588, HAL.
    33. Apostolos Chalkis & Emmanouil Christoforou & Ioannis Z. Emiris & Theodore Dalamagas, 2021. "Modeling asset allocations and a new portfolio performance score," Digital Finance, Springer, vol. 3(3), pages 333-371, December.
    34. Fu, Yufen & Blazenko, George W., 2017. "Normative portfolio theory," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 240-251.
    35. Lassance, Nathan, 2021. "Maximizing the Out-of-Sample Sharpe Ratio," LIDAM Discussion Papers LFIN 2021013, Université catholique de Louvain, Louvain Finance (LFIN).

  11. Smith, Daniel R., 2007. "Conditional coskewness and asset pricing," Journal of Empirical Finance, Elsevier, vol. 14(1), pages 91-119, January.

    Cited by:

    1. Thomas Conlon & John Cotter & Chenglu Jin, 2019. "Co-skewness across Return Horizons," Working Papers 201910, Geary Institute, University College Dublin.
    2. Lu, Jing & Ho, Keng-Yu & Ho, Po-Hsin & Ko, Kuan-Cheng, 2023. "CEO overconfidence, lottery preference and the cross-section of stock returns," Finance Research Letters, Elsevier, vol. 54(C).
    3. Tamara Teplova & Evgeniya Shutova, 2011. "A Higher Moment Downside Framework for Conditional and Unconditional Capm in the Russian Stock Market," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 1(2), pages 157-178, December.
    4. Thomas C. Chiang & Hooi Hooi Lean & Wing-Keung Wong, 2008. "Do REITs Outperform Stocks and Fixed-Income Assets? New Evidence from Mean-Variance and Stochastic Dominance Approaches," JRFM, MDPI, vol. 1(1), pages 1-40, December.
    5. Turan G. Bali & Nusret Cakici & Robert F. Whitelaw, 2009. "Maxing Out: Stocks as Lotteries and the Cross-Section of Expected Returns," NBER Working Papers 14804, National Bureau of Economic Research, Inc.
    6. Zhong, Angel & Gray, Philip, 2016. "The MAX effect: An exploration of risk and mispricing explanations," Journal of Banking & Finance, Elsevier, vol. 65(C), pages 76-90.
    7. Potì, Valerio & Wang, DengLi, 2010. "The coskewness puzzle," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1827-1838, August.
    8. John M. Maheu & Thomas H. McCurdy & Xiaofei Zhao, 2012. "Do Jumps Contribute to the Dynamics of the Equity Premium?," Working Paper series 47_12, Rimini Centre for Economic Analysis.
    9. Fry-McKibbin, Renée & Hsiao, Cody Yu-Ling & Martin, Vance L., 2018. "Global and regional financial integration in East Asia and the ASEAN," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 202-221.
    10. Ayadi, Mohamed A. & Cao, Xu & Lazrak, Skander & Wang, Yan, 2019. "Do idiosyncratic skewness and kurtosis really matter?," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    11. Beaulieu, Marie-Claude & Dufour, Jean-Marie & Khalaf, Lynda, 2009. "Finite sample multivariate tests of asset pricing models with coskewness," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2008-2021, April.
    12. Wattanatorn, Woraphon & Padungsaksawasdi, Chaiyuth & Chunhachinda, Pornchai & Nathaphan, Sarayut, 2020. "Mutual fund liquidity timing ability in the higher moment framework," Research in International Business and Finance, Elsevier, vol. 51(C).
    13. Kostakis, Alexandros & Muhammad, Kashif & Siganos, Antonios, 2012. "Higher co-moments and asset pricing on London Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 913-922.
    14. Dong, Liang & Kot, Hung Wan & Lam, Keith S.K. & Liu, Ming, 2022. "Co-skewness and expected return: Evidence from international stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    15. Johan Knif & Dimitrios Koutmos & Gregory Koutmos, 2020. "Higher Co-Moment CAPM and Hedge Fund Returns," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 48(1), pages 99-113, March.
    16. I-Hsuan Ethan Chiang, 2016. "Skewness And Coskewness In Bond Returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 39(2), pages 145-178, June.
    17. Da Fonseca, José & Xu, Yahua, 2017. "Higher moment risk premiums for the crude oil market: A downside and upside conditional decomposition," Energy Economics, Elsevier, vol. 67(C), pages 410-422.
    18. Chi-Hsiou Hung, 2007. "Momentum, Size and Value Factors versus Systematic Co-moments in Stock Returns," Working Papers 2007_02, Durham University Business School.
    19. Corsetti, G. & Lipińska, A. & Lombardo, G., 2021. "Sharing Asymmetric Tail Risk Smoothing, Asset Pricing and Terms of Trade," Cambridge Working Papers in Economics 2153, Faculty of Economics, University of Cambridge.
    20. Anthonisz, Sean A., 2012. "Asset pricing with partial-moments," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2122-2135.
    21. Dias, Alexandra, 2016. "The economic value of controlling for large losses in portfolio selection," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 81-91.
    22. Langlois, Hugues, 2020. "Measuring skewness premia," Journal of Financial Economics, Elsevier, vol. 135(2), pages 399-424.
    23. Giancarlo Corsetti & Anna Lipinska & Giovanni Lombardo, 2021. "Sharing Asymmetric Tail Risk: Smoothing, Asset Prices and Terms of Trade," International Finance Discussion Papers 1324, Board of Governors of the Federal Reserve System (U.S.).
    24. Chan Joshua C.C. & Fry-McKibbin Renée A. & Hsiao Cody Yu-Ling, 2019. "A regime switching skew-normal model of contagion," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 23(1), pages 1-24, February.
    25. Sheng-Ping Yang & Thanh Nguyen, 2019. "Skewness Preference and Asset Pricing: Evidence from the Japanese Stock Market," JRFM, MDPI, vol. 12(3), pages 1-10, September.
    26. Moreno, David & Rodríguez, Rosa, 2009. "The value of coskewness in mutual fund performance evaluation," Journal of Banking & Finance, Elsevier, vol. 33(9), pages 1664-1676, September.
    27. Chi‐Hsiou Hung, 2008. "Return Predictability of Higher‐Moment CAPM Market Models," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(7‐8), pages 998-1022, September.
    28. Lin, Chaonan & Chen, Hong-Yi & Ko, Kuan-Cheng & Yang, Nien-Tzu, 2021. "Time-dependent lottery preference and the cross-section of stock returns," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 272-294.
    29. Alexandros Kostakis, 2009. "Performance measures and incentives: loading negative coskewness to outperform the CAPM," The European Journal of Finance, Taylor & Francis Journals, vol. 15(5-6), pages 463-486.
    30. Cathy Yi-Hsuan Chen & Thomas C. Chiang & Wolfgang Karl Härdle, 2016. "Downside risk and stock returns: An empirical analysis of the long-run and short-run dynamics from the G-7 Countries," SFB 649 Discussion Papers SFB649DP2016-001, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    31. Bali, Turan G. & Cakici, Nusret & Whitelaw, Robert F., 2011. "Maxing out: Stocks as lotteries and the cross-section of expected returns," Journal of Financial Economics, Elsevier, vol. 99(2), pages 427-446, February.
    32. Kim, Soonho & Na, Haejung, 2018. "Higher-moment liquidity risks and the cross-section of stock returns," Journal of Financial Markets, Elsevier, vol. 38(C), pages 39-59.
    33. Dheeraj Misra & Sushma Vishnani & Ankit Mehrotra, 2019. "Four-moment CAPM Model: Evidence from the Indian Stock Market," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(1_suppl), pages 137-166, April.
    34. Hung, Chi-Hsiou D. & Azad, A.S.M. Sohel & Fang, Victor, 2014. "Determinants of stock returns: Factors or systematic co-moments? Crisis versus non-crisis periods," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 14-29.
    35. Javid, Attiya Yasmin, 2009. "Test of Higher Moment Capital Asset Pricing Model in Case of Pakistani Equity Market," MPRA Paper 38059, University Library of Munich, Germany.
    36. Hollstein, Fabian & Nguyen, Duc Binh Benno & Prokopczuk, Marcel, 2019. "Asset prices and “the devil(s) you know”," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 20-35.
    37. Högholm, Kenneth & Knif, Johan & Koutmos, Gregory & Pynnönen, Seppo, 2011. "Distributional asymmetry of loadings on market co-moments," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(5), pages 851-866.
    38. Wang, Chen & Xiong, Xiong & Shen, Dehua, 2022. "Tail risks, firm characteristics, and stock returns," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    39. Tienyu Hwang & Simon Gao & Heather Owen, 2012. "A two‐pass model study of the CAPM: evidence from the UK stock market," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 29(2), pages 89-104, June.
    40. Apergis, Nicholas & Christou, Christina & Kynigakis, Iason, 2019. "Contagion across US and European financial markets: Evidence from the CDS markets," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 1-12.
    41. Li, Yulin & Wald, John K. & Wang, Zijun, 2020. "Sovereign bonds, coskewness, and monetary policy regimes," Journal of Financial Stability, Elsevier, vol. 50(C).
    42. Doan, Phuong & Lin, Chien-Ting & Zurbruegg, Ralf, 2010. "Pricing assets with higher moments: Evidence from the Australian and us stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(1), pages 51-67, February.
    43. Galagedera, Don U.A. & Brooks, Robert D., 2007. "Is co-skewness a better measure of risk in the downside than downside beta?: Evidence in emerging market data," Journal of Multinational Financial Management, Elsevier, vol. 17(3), pages 214-230, July.
    44. Luca Del Viva & S. P. Kothari & Neophytos Lambertides & Lenos Trigeorgis, 2021. "Asymmetric Returns and the Economic Content of Accruals and Investment," Management Science, INFORMS, vol. 67(6), pages 3921-3942, June.
    45. Moreno, David & Rodríguez, Rosa, 2008. "The value of coskewness in evaluating mutual funds," DEE - Working Papers. Business Economics. WB wb087616, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    46. Chi-Hsiou Hung, 2007. "Return Explanatory Ability and Predictability of Non-Linear Market Models," Working Papers 2007_05, Durham University Business School.
    47. Melisa Ozdamar & Levent Akdeniz & Ahmet Sensoy, 2021. "Lottery-like preferences and the MAX effect in the cryptocurrency market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-27, December.

  12. Perignon, Christophe & Smith, Daniel R., 2007. "Yield-factor volatility models," Journal of Banking & Finance, Elsevier, vol. 31(10), pages 3125-3144, October.
    See citations under working paper version above.
  13. Daniel R. Smith & Allan Layton, 2007. "Comparing Probability Forecasts in Markov Regime Switching Business Cycle Models," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2007(1), pages 79-98.

    Cited by:

    1. Yin Liao & John Stachurski, 2011. "Parametric Conditional Monte Carlo Density Estimation," ANU Working Papers in Economics and Econometrics 2011-562, Australian National University, College of Business and Economics, School of Economics.
    2. Layton, Allan P. & Smith, Daniel R., 2007. "Business cycle dynamics with duration dependence and leading indicators," Journal of Macroeconomics, Elsevier, vol. 29(4), pages 855-875, December.
    3. Klaus Abberger & Wolfgang Nierhaus, 2010. "Markov-Switching and the Ifo Business Climate: The Ifo Business Cycle Traffic Lights," CESifo Working Paper Series 2936, CESifo.
    4. Luca Agnello & Gilles Dufrénot & Ricardo M. Sousa, 2012. "Adjusting the U.S. Fiscal Policy for Asset Prices: Evidence from a TVP-MS Framework," NIPE Working Papers 20/2012, NIPE - Universidade do Minho.

  14. Layton, Allan P. & Smith, Daniel R., 2007. "Business cycle dynamics with duration dependence and leading indicators," Journal of Macroeconomics, Elsevier, vol. 29(4), pages 855-875, December.

    Cited by:

    1. Dufrénot, Gilles & Malik, Sheheryar, 2012. "The changing role of house price dynamics over the business cycle," Economic Modelling, Elsevier, vol. 29(5), pages 1960-1967.
    2. Rose Cunningham & Ilan Kolet, 2007. "Housing Market Cycles and Duration Dependence in the United States and Canada," Staff Working Papers 07-2, Bank of Canada.
    3. Darné, O. & Ferrara, L., 2009. "Identification of slowdowns and accelerations for the euro area economy," Working papers 239, Banque de France.
    4. Amélie Charles & Olivier Darné & Claude Diebolt & Laurent Ferrara, 2012. "A new monthly chronology of the US industrial cycles in the prewar economy," Working Papers 12-02, Association Française de Cliométrie (AFC).
    5. Monica Billio & Laurent Ferrara & Dominique Guegan & Gian Luigi Mazzi, 2009. "Evaluation of Nonlinear time-series models for real-time business cycle analysis of the Euro area," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00423890, HAL.
    6. Golam Sarwar & Cesario Mateus & Natasa Todorovic, 2017. "A tale of two states: asymmetries in the UK small, value and momentum premiums," Applied Economics, Taylor & Francis Journals, vol. 49(5), pages 456-476, January.
    7. Marie Adanero-Donderis & Olivier Darné & Laurent Ferrara, 2009. "Un indicateur probabiliste du cycle d’accélération pour l’économie française," Économie et Prévision, Programme National Persée, vol. 189(3), pages 95-114.
    8. Kamel Helali, 2022. "Markov Switching-Vector AutoRegression Model Analysis of the Economic and Growth Cycles in Tunisia and Its Main European Partners," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 656-686, March.
    9. Khurshid Kiani, 2011. "Fluctuations in Economic and Activity and Stabilization Policies in the CIS," Computational Economics, Springer;Society for Computational Economics, vol. 37(2), pages 193-220, February.
    10. Vítor Castro, 2010. "The duration of business cycle expansions and contractions: Are there change-points in duration dependence?," NIPE Working Papers 24/2010, NIPE - Universidade do Minho.
    11. Vitor Castro, 2015. "The Portuguese business cycle: chronology and duration dependence," Empirical Economics, Springer, vol. 49(1), pages 325-342, August.
    12. Vítor Castro, 2008. "The duration of economic expansions and recessions: More than duration dependence," NIPE Working Papers 18/2008, NIPE - Universidade do Minho.
    13. Feuerriegel, Stefan & Gordon, Julius, 2019. "News-based forecasts of macroeconomic indicators: A semantic path model for interpretable predictions," European Journal of Operational Research, Elsevier, vol. 272(1), pages 162-175.
    14. de Bruijn, L.P. & Franses, Ph.H.B.F., 2015. "Stochastic levels and duration dependence in US unemployment," Econometric Institute Research Papers EI2015-20, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    15. Vitor Castro & Megumi Kubota, 2013. "Duration dependence and change-points in the likelihood of credit booms ending," GEMF Working Papers 2013-17, GEMF, Faculty of Economics, University of Coimbra.
    16. Gabe de Bondt & Philip Vermeulen, 2021. "Business cycle duration dependence and foreign recessions," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(1), pages 1-19, February.
    17. Giner, Javier & Zakamulin, Valeriy, 2023. "A regime-switching model of stock returns with momentum and mean reversion," Economic Modelling, Elsevier, vol. 122(C).
    18. Angang Hu & Jie Lu & Zhengyan Xiao, 2011. "Has China's Economy Become More Stable and Inertial? Nonlinear Investigations Based on Structural Break and Duration Dependent Regime Switching Models," Annals of Economics and Finance, Society for AEF, vol. 12(1), pages 157-181, May.
    19. Charlotte Le Chapelain, 2012. "Allocation des talents et accumulation de capital humain en France à la fin du XIXe siècle," Working Papers 12-03, Association Française de Cliométrie (AFC).
    20. Adanero-Donderis , M. & Darné, O. & Ferrara, L., 2007. "Deux indicateurs probabilistes de retournement cyclique pour l’économie française," Working papers 187, Banque de France.
    21. George Koutsoumanis & Vítor Castro, 2023. "The duration of acceleration cycle downturns: duration dependence, international dynamics and synchronisation," Empirical Economics, Springer, vol. 64(4), pages 1667-1698, April.

  15. Perignon, Christophe & Smith, Daniel R. & Villa, Christophe, 2007. "Why common factors in international bond returns are not so common," Journal of International Money and Finance, Elsevier, vol. 26(2), pages 284-304, March.

    Cited by:

    1. Pegoraro, F. & Siegel, A. F. & Tiozzo Pezzoli, L., 2014. "Specification Analysis of International Treasury Yield Curve Factors," Working papers 490, Banque de France.
    2. Aziakpono, M. & Kleimeier, S. & Sander, H., 2007. "Banking market Integration in the SADC countries: evidence from interest rate analyses," Research Memorandum 047, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    3. Gregory Bauer & Antonio Diez de los Rios, 2012. "An International Dynamic Term Structure Model with Economic Restrictions and Unspanned Risks," Staff Working Papers 12-5, Bank of Canada.
    4. Libin Yang & William Rea & Alethea Rea, 2017. "Financial Insights from the Last Few Components of a Stock Market PCA," IJFS, MDPI, vol. 5(3), pages 1-12, July.
    5. Libin Yang & William Rea & and Alethea Rea, 2015. "Identifying Highly Correlated Stocks Using the Last Few Principal Components," Papers 1512.03537, arXiv.org.
    6. Philipp Maier & Garima Vasishtha, 2008. "Good Policies or Good Fortune: What Drives the Compression in Emerging Market Spreads?," Staff Working Papers 08-25, Bank of Canada.
    7. Nikolaou, Kleopatra & Modugno, Michele, 2009. "The forecasting power of internal yield curve linkages," Working Paper Series 1044, European Central Bank.
    8. Venetis, Ioannis & Ladas, Avgoustinos, 2022. "Co-movement and global factors in sovereign bond yields," MPRA Paper 115801, University Library of Munich, Germany.
    9. Antonio Diez de los Rios & Maral Shamloo, 2017. "Quantitative Easing and Long-Term Yields in Small Open Economies," IMF Working Papers 2017/212, International Monetary Fund.
    10. Sekkel, Rodrigo, 2011. "International evidence on bond risk premia," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 174-181, January.
    11. Juneja, Januj, 2012. "Common factors, principal components analysis, and the term structure of interest rates," International Review of Financial Analysis, Elsevier, vol. 24(C), pages 48-56.
    12. Lončarski, Igor & Vidovič, Luka, 2019. "Sorting out the financials: Making economic sense out of statistical factors," Finance Research Letters, Elsevier, vol. 31(C), pages 110-118.
    13. Libin Yang & William Rea & Alethea Rea, 2015. "Stock Selection with Principal Component Analysis," Working Papers in Economics 15/03, University of Canterbury, Department of Economics and Finance.
    14. He, Hui & Locke, Peter, 2011. "Global trends in real risk free rates," Research in International Business and Finance, Elsevier, vol. 25(1), pages 53-63, January.
    15. Li, Yulin, 2021. "Investor sentiment and sovereign bonds," Journal of International Money and Finance, Elsevier, vol. 115(C).
    16. Lauren Stagnol, 2019. "Extracting global factors from local yield curves," Journal of Asset Management, Palgrave Macmillan, vol. 20(5), pages 341-350, September.
    17. Baba, Naohiko & Packer, Frank, 2009. "From turmoil to crisis: Dislocations in the FX swap market before and after the failure of Lehman Brothers," Journal of International Money and Finance, Elsevier, vol. 28(8), pages 1350-1374, December.
    18. Januj Juneja, 2015. "An evaluation of alternative methods used in the estimation of Gaussian term structure models," Review of Quantitative Finance and Accounting, Springer, vol. 44(1), pages 1-24, January.
    19. Li, Yulin & Wald, John K. & Wang, Zijun, 2020. "Sovereign bonds, coskewness, and monetary policy regimes," Journal of Financial Stability, Elsevier, vol. 50(C).
    20. Dahlquist, Magnus & Hasseltoft, Henrik, 2013. "International Bond Risk Premia," Journal of International Economics, Elsevier, vol. 90(1), pages 17-32.

  16. Smith, Daniel R, 2002. "Markov-Switching and Stochastic Volatility Diffusion Models of Short-Term Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 183-197, April.

    Cited by:

    1. Driffill, John & Sola, Martin & Kenc, Turalay & Spagnolo, Fabio, 2004. "On Model Selection and Markov Switching: A Empirical Examination of Term Structure Models with Regime Shifts," CEPR Discussion Papers 4165, C.E.P.R. Discussion Papers.
    2. Sunil S. Poshakwale & Anandadeep Mandal, 2017. "Sources of time varying return comovements during different economic regimes: evidence from the emerging Indian equity market," Review of Quantitative Finance and Accounting, Springer, vol. 48(4), pages 859-892, May.
    3. Anastasios G. Malliaris & Ramaprasad Bhar, 2011. "Dividends, Momentum, and Macroeconomic Variables as Determinants of the US Equity Premium Across Economic Regimes," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 3(1), pages 27-53, April.
    4. Christophe Pérignon & Daniel R. Smith, 2007. "Yield-factor volatility models," Post-Print hal-00461067, HAL.
    5. John M. Maheu & Qiao Yang, 2015. "An Infinite Hidden Markov Model for Short-term Interest Rates," Working Paper series 15-05, Rimini Centre for Economic Analysis.
    6. Monica Billio & Roberto Casarin & Matteo Iacopini, 2018. "Bayesian Markov Switching Tensor Regression for Time-varying Networks," Working Papers 2018:14, Department of Economics, University of Venice "Ca' Foscari".
    7. Marius Ascheberg & Robert A. Jarrow & Holger Kraft & Yildiray Yildirim, 2014. "Government Policies, Residential Mortgage Defaults and the Boom and Bust Cycle of Housing Prices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 42(3), pages 627-661, September.
    8. Dahl, Christian M. & Iglesias, Emma M., 2009. "Volatility spill-overs in commodity spot prices: New empirical results," Economic Modelling, Elsevier, vol. 26(3), pages 601-607, May.
    9. Ramaprasad Bhar, 2010. "Stochastic Filtering with Applications in Finance," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 7736, January.
    10. Vo, Minh T., 2009. "Regime-switching stochastic volatility: Evidence from the crude oil market," Energy Economics, Elsevier, vol. 31(5), pages 779-788, September.
    11. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    12. Auer, Benjamin R. & Rottmann, Horst, 2018. "Have capital market anomalies worldwide attenuated in the recent era of high liquidity and trading activity?," Weidener Diskussionspapiere 64, University of Applied Sciences Amberg-Weiden (OTH).
    13. Leticia Estévez Cerqueira & María Isabel Cambón Murcia, 2015. "A Spanish Financial Market Stress Indicator (FMSI)," CNMV Working Papers CNMV Working Papers no 60, CNMV- Spanish Securities Markets Commission - Research and Statistics Department.
    14. Sun, Licheng, 2005. "Regime shifts in interest rate volatility," Journal of Empirical Finance, Elsevier, vol. 12(3), pages 418-434, June.
    15. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Effects on the Riskless Yield Curve with Regime Switching Nelson†Siegel Models," Working Papers 639, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    16. Bhar, Ramaprasad & Malliaris, A.G., 2011. "Oil prices and the impact of the financial crisis of 2007–2009," Energy Economics, Elsevier, vol. 33(6), pages 1049-1054.
    17. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Switching Nelson-Siegel Models," BAFFI CAREFIN Working Papers 19106, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    18. Poshakwale, Sunil S. & Mandal, Anandadeep, 2016. "Determinants of asymmetric return comovements of gold and other financial assets," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 229-242.
    19. Philippe Charlot & Vêlayoudom Marimoutou, 2008. "Hierarchical hidden Markov structure for dynamic correlations: the hierarchical RSDC model," Working Papers halshs-00285866, HAL.
    20. 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.
    21. Huang, Jia-Ping & Sumita, Ushio, 2015. "Development of computational algorithms for pricing European bond options under the influence of macro-economic conditions," Applied Mathematics and Computation, Elsevier, vol. 251(C), pages 453-468.
    22. Lux, Thomas, 2013. "Exact solutions for the transient densities of continuous-time Markov switching models: With an application to the poisson multifractal model," Kiel Working Papers 1871, Kiel Institute for the World Economy (IfW Kiel).
    23. Gulten Mero & Serge Darolles & Gaëlle Le Fol, 2015. "Financial Market Liquidity: Who Is Acting Strategically?," THEMA Working Papers 2015-14, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    24. Zhang, Zhenzhong & Tong, Jinying & Hu, Liangjian, 2016. "Long-term behavior of stochastic interest rate models with Markov switching," Insurance: Mathematics and Economics, Elsevier, vol. 70(C), pages 320-326.
    25. Christiansen, Charlotte, 2005. "Level-ARCH Short Rate Models with Regime Switching: Bivariate Modeling of US and European Short Rates," Finance Research Group Working Papers F-2005-03, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    26. Jan Henneke & Svetlozar Rachev & Frank Fabozzi & Metodi Nikolov, 2011. "MCMC-based estimation of Markov Switching ARMA-GARCH models," Applied Economics, Taylor & Francis Journals, vol. 43(3), pages 259-271.
    27. Scott H. Holan & Ginger M. Davis & Mark L. Wildhaber & Aaron J. DeLonay & Diana M. Papoulias, 2009. "Hierarchical Bayesian Markov switching models with application to predicting spawning success of shovelnose sturgeon," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(1), pages 47-64, February.
    28. Avouyi-Dovi, S. & Horny, G. & Sevestre, P., 2013. "The dynamics of bank loans short-term interest rates in the Euro area: what lessons can we draw from the current crisis?," Working papers 462, Banque de France.
    29. Lin, Boqiang & Wesseh, Presley K., 2013. "What causes price volatility and regime shifts in the natural gas market," Energy, Elsevier, vol. 55(C), pages 553-563.
    30. Chew Lian Chua & Sandy Suardi & Sarantis Tsiaplias, 2011. "Predicting Short-Term Interest Rates: Does Bayesian Model Averaging Provide Forecast Improvement?," Melbourne Institute Working Paper Series wp2011n01, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    31. Ramaprasad Bhar & Damien Lee, 2018. "Alternative characterization of volatility of short-term interest rate," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 5(02), pages 1-15, June.
    32. Poshakwale, Sunil S. & Mandal, Anandadeep, 2016. "What drives asymmetric dependence structure of asset return comovements?," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 312-330.
    33. Soosung Hwang & Steve E. Satchell & Pedro L. Valls Pereira, 2004. "How Persistent is Volatility? An Answer with Stochastic Volatility Models with Markov Regime Switching State Equations," Econometric Society 2004 Latin American Meetings 198, Econometric Society.
    34. Yanlin Shi, 2023. "Long memory and regime switching in the stochastic volatility modelling," Annals of Operations Research, Springer, vol. 320(2), pages 999-1020, January.
    35. Frédéric Karamé, 2018. "A new particle filtering approach to estimate stochastic volatility models with Markov-switching," Post-Print hal-02296093, HAL.
    36. Daniel R. Smith & Christophe Parignon, 2004. "Modeling Yield-Factor Volatility," Econometric Society 2004 Australasian Meetings 307, Econometric Society.
    37. Li, Leon & Miu, Peter, 2023. "Are cryptocurrencies a safe haven for stock investors? A regime-switching approach," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 367-385.
    38. Kalimipalli, Madhu & Susmel, Raul, 2004. "Regime-switching stochastic volatility and short-term interest rates," Journal of Empirical Finance, Elsevier, vol. 11(3), pages 309-329, June.
    39. Xiaojing Xi & Rogemar Mamon, 2014. "Capturing the Regime-Switching and Memory Properties of Interest Rates," Computational Economics, Springer;Society for Computational Economics, vol. 44(3), pages 307-337, October.
    40. Beyaert, Arielle & Garcia-Solanes, Jose & Perez-Castejon, Juan J., 2007. "Uncovered interest parity with switching regimes," Economic Modelling, Elsevier, vol. 24(2), pages 189-202, March.
    41. Choi Seungmoon, 2009. "Regime-Switching Univariate Diffusion Models of the Short-Term Interest Rate," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(1), pages 1-41, March.
    42. Emel Siklar & Ilyas Siklar, 2021. "Time Series Dynamics of Short Term Interest Rates in Turkey," Business and Economic Research, Macrothink Institute, vol. 11(1), pages 92-108, March.
    43. 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.
    44. Soosung Hwang & Steve E. Satchell & Pedro L. Valls Pereira, 2007. "How Persistent is Stock Return Volatility? An Answer with Markov Regime Switching Stochastic Volatility Models," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(5‐6), pages 1002-1024, June.
    45. Hainaut, Donatien, 2013. "A fractal version of the Hull–White interest rate model," Economic Modelling, Elsevier, vol. 31(C), pages 323-334.
    46. Driffill John & Kenc Turalay & Sola Martin & Spagnolo Fabio, 2009. "The Effects of Different Parameterizations of Markov-Switching in a CIR Model of Bond Pricing," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(1), pages 1-24, March.
    47. Smith Daniel R, 2009. "Asymmetry in Stochastic Volatility Models: Threshold or Correlation?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(3), pages 1-36, May.

  17. Allan Layton & Daniel Smith, 2000. "A further note on the three phases of the US business cycle," Applied Economics, Taylor & Francis Journals, vol. 32(9), pages 1133-1143.

    Cited by:

    1. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    2. Shyh-Wei Chen, 2008. "Identifying US turning points revisited: the panel model with the regime switching approach," Applied Economics Letters, Taylor & Francis Journals, vol. 15(11), pages 893-897.
    3. Sumru Altuğ & Melike Bildirici, 2010. "Business Cycles around the Globe: A Regime Switching Approach," Working Papers 0032, Yildiz Technical University, Department of Economics, revised Mar 2010.
    4. Layton, Allan P. & Smith, Daniel R., 2007. "Business cycle dynamics with duration dependence and leading indicators," Journal of Macroeconomics, Elsevier, vol. 29(4), pages 855-875, December.
    5. Chen, Shyh-Wei, 2006. "Simultaneously modeling the volatility of the growth rate of real GDP and determining business cycle turning points: Evidence from the U.S., Canada and the UK," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 71(2), pages 87-102.
    6. Ferrara, Laurent, 2003. "A three-regime real-time indicator for the US economy," Economics Letters, Elsevier, vol. 81(3), pages 373-378, December.
    7. Benoit Bellone, 2004. "Une lecture probabiliste du cycle d’affaires américain," Econometrics 0407002, University Library of Munich, Germany, revised 28 Mar 2005.
    8. Ferrara, Laurent, 2006. "A real-time recession indicator for the Euro area," MPRA Paper 4042, University Library of Munich, Germany.
    9. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    10. Huang, Jia-Ping & Sumita, Ushio, 2015. "Development of computational algorithms for pricing European bond options under the influence of macro-economic conditions," Applied Mathematics and Computation, Elsevier, vol. 251(C), pages 453-468.
    11. Monica Billio & Jacques Anas & Laurent Ferrara & Marco Lo Duca, 2007. "A turning point chronology for the Euro-zone," Working Papers 2007_33, Department of Economics, University of Venice "Ca' Foscari".
    12. Martha Misas & Maria Teresa Ramirez, 2007. "Depressions in the Colombian economic growth during the twentieth century: a Markov switching regime model," Applied Economics Letters, Taylor & Francis Journals, vol. 14(11), pages 803-808.
    13. Chen, Shyh-Wei & Shen, Chung-Hua, 2006. "Can the identification puzzle of Taiwan's turning points after 1990 be solved?," Economic Modelling, Elsevier, vol. 23(1), pages 174-195, January.
    14. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model An application to the German business cycle," Munich Reprints in Economics 84736, University of Munich, Department of Economics.
    15. Benoît Bellone, 2006. "Une lecture probabiliste du cycle d’affaires américain," Économie et Prévision, Programme National Persée, vol. 172(1), pages 63-81.
    16. Shyh-Wei Chen & Chung-Hua Shen, 2006. "Is there a duration dependence in Taiwan's business cycles?," International Economic Journal, Taylor & Francis Journals, vol. 20(1), pages 109-128.
    17. Jesper Gregers Linaa, "undated". "Idiosyncrasy of Business Cycles Across EU Countries," EPRU Working Paper Series 02-08, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics.
    18. Kim, Woo Chang & Kim, Jang Ho & Mulvey, John M. & Fabozzi, Frank J., 2015. "Focusing on the worst state for robust investing," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 19-31.

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