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Albert K. C. Tsui

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Albert K. Tsui & Kin-Yip Ho, 2004. "Conditional heteroscedasticity of exchange rates: further results based on the fractionally integrated approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(5), pages 637-642.

    Mentioned in:

    1. Conditional heteroscedasticity of exchange rates: further results based on the fractionally integrated approach (Journal of Applied Econometrics 2004) in ReplicationWiki ()

Working papers

  1. Ngee-Choon Chia & Albert K C Tsui, 2009. "Monetizing Housing Equity to Generate Retirement Incomes," Microeconomics Working Papers 22759, East Asian Bureau of Economic Research.

    Cited by:

    1. Ngee-Choon Chia, 2015. "Adding A Basic Pillar To The Central Provident Fund System: An Actuarial Analysis," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 60(03), pages 1-26.

  2. Kin-Yip Ho & Albert K Tsui, 2008. "Volatility Dynamics in Foreign Exchange Rates : Further Evidence from the Malaysian Ringgit and Singapore Dollar," Finance Working Papers 22571, East Asian Bureau of Economic Research.

    Cited by:

    1. KANTA TANNIYOM & Paponpat Taveeapiradeecharoen & Prapatchon Jariyapan, 2015. "Modeling Dependency and Conditional Volatility between Asian Economic Community (AEC) Country Exchange Rate and Inflation Using the Copula-GARCH Model," Proceedings of International Academic Conferences 2704733, International Institute of Social and Economic Sciences.

  3. Ngee-Choon Chia & Albert K C Tsui, 2005. "Medical Savings Accounts in Singapore : How much is adequate?," Finance Working Papers 22567, East Asian Bureau of Economic Research.

    Cited by:

    1. Wouters, Olivier J. & Cylus, Jonathan & Yang, Wei & Thomson, Sarah & McKee, Martin, 2016. "Medical savings accounts: assessing their impact on efficiency, equity, and financial protection in health care," LSE Research Online Documents on Economics 65448, London School of Economics and Political Science, LSE Library.
    2. Jessica Leight & Nicholas Wilson, 2020. "Framing Flexible Spending Accounts: A Large‐Scale Field Experiment on Communicating the Return on Medical Savings Accounts," Health Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 195-208, February.
    3. Zhang, Hui & Yuen, Peter P., 2016. "Medical Savings Account balance and outpatient utilization: Evidence from Guangzhou, China," Social Science & Medicine, Elsevier, vol. 151(C), pages 1-10.
    4. Terence C. Cheng & Jing Li & Rhema Vaithianathan, 2019. "Monthly spending dynamics of the elderly following a health shock: Evidence from Singapore," Health Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 23-43, January.
    5. Ngee-Choon Chia & Albert K C Tsui, 2005. "Reverse Mortgages as Retirement Financing Instrument : An Option for “Asset-rich and Cash-poor†Singaporeans," Finance Working Papers 22566, East Asian Bureau of Economic Research.
    6. Ngee-Choon Chia & Albert K C Tsui, 2009. "Monetizing Housing Equity to Generate Retirement Incomes," Microeconomics Working Papers 22759, East Asian Bureau of Economic Research.

  4. Ngee-Choon Chia & Albert K C Tsui, 2005. "Reverse Mortgages as Retirement Financing Instrument : An Option for “Asset-rich and Cash-poor†Singaporeans," Finance Working Papers 22566, East Asian Bureau of Economic Research.

    Cited by:

    1. Joan Costa i Font & Joan Gil & Oscar Mascarilla Miró, "undated". "Preferencias de la población ante la financiación de la dependéncia: La hipoteca inversa en Espana," Studies on the Spanish Economy 230, FEDEA.

  5. Kin-Yip Ho & Ka Cheng Tsui, 2004. "Volatility Dynamics of the Tokyo Stock Exchange: A Sectoral Analysis based on the Multivariate GARCH Approach," Money Macro and Finance (MMF) Research Group Conference 2004 12, Money Macro and Finance Research Group.

    Cited by:

    1. Škrinjarić Tihana, 2015. "Measuring Dynamics of Risk and Performance of Sector Indices on Zagreb Stock Exchange," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 1(1-2), pages 27-41, December.
    2. Škrinjarić Tihana & Šego Boško, 2016. "Dynamic Portfolio Selection on Croatian Financial Markets: MGARCH Approach," Business Systems Research, Sciendo, vol. 7(2), pages 78-90, September.
    3. Parul Bhatia & Priya Gupta, 2020. "Sub-prime Crisis or COVID-19: A Comparative Analysis of Volatility in Indian Banking Sectoral Indices," FIIB Business Review, , vol. 9(4), pages 286-299, December.

  6. Ngee-Choon Chia & Albert K. C. Tsui & John Whalley, 2001. "Ownership and Use Taxes as Congestion Correcting Instruments," NBER Working Papers 8278, National Bureau of Economic Research, Inc.

    Cited by:

    1. DE BORGER, Bruno & MAYERES, Inge, "undated". "Taxation of car-ownership, car use and public transport: Insight derived from a discrete choice numerical optimisation model," Working Papers 2004021, University of Antwerp, Faculty of Business and Economics.
    2. Ngee-Choon Chia & Sock-Yong Phang, 2001. "Motor vehicle taxes as an environmental management instrument: the case of Singapore," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 4(2), pages 67-93, June.
    3. Santos, Georgina & Behrendt, Hannah & Maconi, Laura & Shirvani, Tara & Teytelboym, Alexander, 2010. "Part I: Externalities and economic policies in road transport," Research in Transportation Economics, Elsevier, vol. 28(1), pages 2-45.
    4. Matthias Wrede, 2003. "Tax Deductibility of Commuting Expenses and Residential Land Use with more than one Center," CESifo Working Paper Series 972, CESifo.
    5. De Borger, Bruno & Mayeres, Inge, 2007. "Optimal taxation of car ownership, car use and public transport: Insights derived from a discrete choice numerical optimization model," European Economic Review, Elsevier, vol. 51(5), pages 1177-1204, July.
    6. Button, Kenneth, 2004. "1. The Rationale For Road Pricing: Standard Theory And Latest Advances," Research in Transportation Economics, Elsevier, vol. 9(1), pages 3-25, January.
    7. Ms. Ling H Tan, 2001. "Rationing Rules and Outcomes: The Experience of Singapore’s Vehicle Quota System," IMF Working Papers 2001/136, International Monetary Fund.
    8. Bruno De Borger & Ismir Mulalic & Jan Rouwendal, 2013. "Substitution between Cars within the Household," Tinbergen Institute Discussion Papers 13-158/VIII, Tinbergen Institute.
    9. Richard Arnott, 2001. "The Economic Theory of Urban Traffic Congestion: A Microscopic Research Agenda," Boston College Working Papers in Economics 502, Boston College Department of Economics.
    10. Muthukrishnan, Subhashini, 2010. "Vehicle ownership and usage charges," Transport Policy, Elsevier, vol. 17(6), pages 398-408, November.

  7. Y.K. Tse & Albert K.C. Tsui, 2000. "A Multivariate GARCH Model with Time-Varying Correlations," Econometrics 0004007, University Library of Munich, Germany.

    Cited by:

    1. Pesaran, M. Hashem & Zaffaroni, Paolo, 2005. "Model Averaging and Value-at-Risk Based Evaluation of Large Multi-Asset Volatility Models for Risk Management," CEPR Discussion Papers 5279, C.E.P.R. Discussion Papers.
    2. Marco Sorge, 2004. "Stress-testing financial systems: an overview of current methodologies," BIS Working Papers 165, Bank for International Settlements.
    3. Kun Ma & Gang Diao, 2017. "Study on spillover effect between international soybean market and China's domestic soybean market," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 35(84), pages 260-266, December.
    4. Jayasinghe, Prabhath & Tsui, Albert K., 2008. "Exchange rate exposure of sectoral returns and volatilities: Evidence from Japanese industrial sectors," Japan and the World Economy, Elsevier, vol. 20(4), pages 639-660, December.
    5. Engle, Robert F & Sheppard, Kevin K, 2001. "Theoretical and Empirical Properties of Dynamic Conditional Correlation Multivariate GARCH," University of California at San Diego, Economics Working Paper Series qt5s2218dp, Department of Economics, UC San Diego.
    6. Choi, Pilsun & Nam, Kiseok, 2008. "Asymmetric and leptokurtic distribution for heteroscedastic asset returns: The SU-normal distribution," Journal of Empirical Finance, Elsevier, vol. 15(1), pages 41-63, January.
    7. Pesaran, M. Hashem & Schleicher, Christoph & Zaffaroni, Paolo, 2009. "Model averaging in risk management with an application to futures markets," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 280-305, March.
    8. Maria Kasch & Massimiliano Caporin, 2008. "Volatility Threshold Dynamic Conditional Correlations: An International Analysis," "Marco Fanno" Working Papers 0065, Dipartimento di Scienze Economiche "Marco Fanno".
    9. Caporin, M. & McAleer, M.J., 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," Econometric Institute Research Papers EI2012-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Vander Elst, Harry & Veredas, David, 2014. "Disentangled jump-robust realized covariances and correlations with non-synchronous prices," DES - Working Papers. Statistics and Econometrics. WS ws142416, Universidad Carlos III de Madrid. Departamento de Estadística.
    11. Chou, Ray Yeutien & Liu, Nathan, 2010. "The economic value of volatility timing using a range-based volatility model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(11), pages 2288-2301, November.
    12. Feng, Yuanhua, 2006. "A local dynamic conditional correlation model," MPRA Paper 1592, University Library of Munich, Germany.
    13. Johansson, Anders C., 2008. "Interdependencies among Asian bond markets," Journal of Asian Economics, Elsevier, vol. 19(2), pages 101-116, April.
    14. Yu, Jung-Suk & Hassan, M. Kabir, 2008. "Global and regional integration of the Middle East and North African (MENA) stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(3), pages 482-504, August.
    15. Duchesne, Pierre, 2006. "Testing for multivariate autoregressive conditional heteroskedasticity using wavelets," Computational Statistics & Data Analysis, Elsevier, vol. 51(4), pages 2142-2163, December.
    16. Gourieroux, C. & Jasiak, J. & Sufana, R., 2009. "The Wishart Autoregressive process of multivariate stochastic volatility," Journal of Econometrics, Elsevier, vol. 150(2), pages 167-181, June.
    17. Kun Ma & Gang Diao, 2017. "Study on spillover effect between international soybean market and China's domestic soybean market," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 35(84), pages 260-266, December.
    18. Kun Ma & Gang Diao, 2017. "Study on spillover effect between international soybean market and China's domestic soybean market," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 35(84), pages 260-266, December.
    19. Berben, Robert-Paul & Jansen, W. Jos, 2005. "Comovement in international equity markets: A sectoral view," Journal of International Money and Finance, Elsevier, vol. 24(5), pages 832-857, September.
    20. Rosenow, Bernd, 2008. "Determining the optimal dimensionality of multivariate volatility models with tools from random matrix theory," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 279-302, January.
    21. Gomez-Gonzalez, Jose & Rojas-Espinosa, Wilmer, 2018. "Detecting exchange rate contagion in Asian exchange rate markets using asymmetric DDC-GARCH and R-vine copulas," MPRA Paper 88578, University Library of Munich, Germany.
    22. Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2009. "Dynamic Stock Market Interactions between the Canadian, Mexican, and the United States Markets: The NAFTA Experience," Working Papers 0905, University of Nevada, Las Vegas , Department of Economics.
    23. Jacobs, Michael & Karagozoglu, Ahmet K., 2014. "On the characteristics of dynamic correlations between asset pairs," Research in International Business and Finance, Elsevier, vol. 32(C), pages 60-82.
    24. Li, Kui-Wai, 2011. "Identifying the Signs of Currency Speculation in Hong Kong's Linked exchange Rate," MPRA Paper 35279, University Library of Munich, Germany.
    25. Josip Arneric & Elza Jurun & Snježana Pivac, 2008. "Multivariate Risk-Return Decision Making Within Dynamic Estimation," Economic Analysis Working Papers (2002-2010). Atlantic Review of Economics (2011-2016), Colexio de Economistas de A Coruña, Spain and Fundación Una Galicia Moderna, vol. 7, pages 1-11, October.
    26. Chiang, Thomas C. & Jeon, Bang Nam & Li, Huimin, 2007. "Dynamic correlation analysis of financial contagion: Evidence from Asian markets," Journal of International Money and Finance, Elsevier, vol. 26(7), pages 1206-1228, November.
    27. Roy van der Weide, 2002. "GO-GARCH: a multivariate generalized orthogonal GARCH model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 549-564.
    28. Gomez-Gonzalez, Jose E. & Rojas-Espinosa, Wilmer, 2019. "Detecting contagion in Asian exchange rate markets using asymmetric DCC-GARCH and R-vine copulas," Economic Systems, Elsevier, vol. 43(3).
    29. Lien, Donald & Tse, Yiu Kuen, 2002. "Physical delivery versus cash settlement: an empirical study on the feeder cattle contract," Journal of Empirical Finance, Elsevier, vol. 9(4), pages 361-371, November.
    30. Audrino, Francesco, 2006. "The impact of general non-parametric volatility functions in multivariate GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 3032-3052, July.
    31. St'ephane Chr'etien & Juan-Pablo Ortega, 2011. "Multivariate GARCH estimation via a Bregman-proximal trust-region method," Papers 1101.5475, arXiv.org.
    32. Ruey S. Tsay, 2007. "Multivariate volatility models," Papers math/0702815, arXiv.org.
    33. Jon Wongswan, 2003. "Contagion: an empirical test," International Finance Discussion Papers 775, Board of Governors of the Federal Reserve System (U.S.).
    34. Harry Vander Elst & David Veredas, 2017. "Smoothing it Out: Empirical and Simulation Results for Disentangled Realized Covariances," Journal of Financial Econometrics, Oxford University Press, vol. 15(1), pages 106-138.

Articles

  1. Wong, Chi Heem & Tsui, Albert K., 2015. "Forecasting life expectancy: Evidence from a new survival function," Insurance: Mathematics and Economics, Elsevier, vol. 65(C), pages 208-226.

    Cited by:

    1. María-Dolores Huete-Morales & Esteban Navarrete-Álvarez & María-Jesús Rosales-Moreno & María-José Del-Moral-Ávila & José-Manuel Quesada-Rubio, 2020. "Modelling the survival function of the Spanish population by the Wong–Tsui model with the incorporation of frailty and covariates," Letters in Spatial and Resource Sciences, Springer, vol. 13(2), pages 151-163, August.
    2. Jacie Jia Liu, 2021. "A Study on Link Functions for Modelling and Forecasting Old-Age Survival Probabilities of Australia and New Zealand," Risks, MDPI, vol. 9(1), pages 1-18, January.

  2. Jayasinghe, Prabhath & Tsui, Albert K. & Zhang, Zhaoyong, 2014. "New estimates of time-varying currency betas: A trivariate BEKK approach," Economic Modelling, Elsevier, vol. 42(C), pages 128-139.

    Cited by:

    1. Narayan, Paresh Kumar & Phan, Dinh Hoang Bach & Thuraisamy, Kannan & Westerlund, Joakim, 2016. "Price discovery and asset pricing," Pacific-Basin Finance Journal, Elsevier, vol. 40(PA), pages 224-235.
    2. Asl, Mahdi Ghaemi & Canarella, Giorgio & Miller, Stephen M., 2021. "Dynamic asymmetric optimal portfolio allocation between energy stocks and energy commodities: Evidence from clean energy and oil and gas companies," Resources Policy, Elsevier, vol. 71(C).
    3. Guglielmo Maria Caporale & Luis A. Gil-Alana & Miguel Martin-Valmayor, 2020. "Persistence in the Realized Betas: Some Evidence for the Spanish Stock Market," CESifo Working Paper Series 8171, CESifo.
    4. Chen, Yufeng & Xu, Jing & Miao, Jiafeng, 2023. "Dynamic volatility contagion across the Baltic dry index, iron ore price and crude oil price under the COVID-19: A copula-VAR-BEKK-GARCH-X approach," Resources Policy, Elsevier, vol. 81(C).
    5. Tsuji, Chikashi, 2018. "Return transmission and asymmetric volatility spillovers between oil futures and oil equities: New DCC-MEGARCH analyses," Economic Modelling, Elsevier, vol. 74(C), pages 167-185.
    6. Fengming Qin & Junru Zhang & Zhaoyong Zhang, 2018. "RMB Exchange Rates and Volatility Spillover across Financial Markets in China and Japan," Risks, MDPI, vol. 6(4), pages 1-26, October.
    7. Monica Billio & Michael Donadelli & Antonio Paradiso & Max Riedel, 2015. "Measuring Financial Integration: Lessons from the Correlation," Working Papers 2015:23, Department of Economics, University of Venice "Ca' Foscari".
    8. Sanjay Sehgal & Mala Dutt, 2018. "Domestic and International Information Linkages for the US Dollar/Indian Rupee Contracts: An Empirical Study," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 43(4), pages 205-233, November.
    9. Billio, M. & Donadelli, M. & Paradiso, A. & Riedel, M., 2017. "Which market integration measure?," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 150-174.
    10. Horváth, Lajos & Li, Bo & Li, Hemei & Liu, Zhenya, 2020. "Time-varying beta in functional factor models: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    11. Zhou, Xinmiao & Zhang, Junru & Zhang, Zhaoyong, 2021. "How does news flow affect cross-market volatility spillovers? Evidence from China’s stock index futures and spot markets," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 196-213.
    12. Jaratin Lily & Imbarine Bujang & Abdul Aziz Karia & Mori Kogid, 2018. "Exchange rate exposure revisited in Malaysia: a tale of two measures," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(4), pages 409-435, December.
    13. Yu, Lean & Zha, Rui & Stafylas, Dimitrios & He, Kaijian & Liu, Jia, 2020. "Dependences and volatility spillovers between the oil and stock markets: New evidence from the copula and VAR-BEKK-GARCH models," International Review of Financial Analysis, Elsevier, vol. 68(C).
    14. Biplab Bhattacharjee & Muhammad Shafi & Animesh Acharjee, 2017. "Investigating the Evolution of Linkage Dynamics among Equity Markets Using Network Models and Measures: The Case of Asian Equity Market Integration," Data, MDPI, vol. 2(4), pages 1-28, December.

  3. Long, Ling & Tsui, Albert K. & Zhang, Zhaoyong, 2014. "Conditional heteroscedasticity with leverage effect in stock returns: Evidence from the Chinese stock market," Economic Modelling, Elsevier, vol. 37(C), pages 89-102.

    Cited by:

    1. Borjigin, Sumuya & Gao, Ting & Sun, Yafei & An, Biao, 2020. "For evil news rides fast, while good news baits later?—A network based analysis in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    2. An, Jiyoun & Ho, Kin-Yip & Zhang, Zhaoyong, 2020. "What drives the liquidity premium in the Chinese stock market?," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    3. Zeyu Xie & Mian Yang & Fei Xu, 2023. "Carbon emission trading system and stock price crash risk of heavily polluting listed companies in China: based on analyst coverage mechanism," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-30, December.
    4. Alemany, Nuria & Aragó, Vicent & Salvador, Enrique, 2020. "The distribution of index futures realised volatility under seasonality and microstructure noise," Economic Modelling, Elsevier, vol. 93(C), pages 398-414.
    5. Xiaoyi Shen & Albert K. Tsui & Zhaoyong Zhang, 2019. "Volatility Timing in CPF Investment Funds in Singapore: Do They Outperform Non-CPF Funds?," Risks, MDPI, vol. 7(4), pages 1-16, October.
    6. Shen, Yifan, 2018. "International risk transmission of stock market movements," Economic Modelling, Elsevier, vol. 69(C), pages 220-236.
    7. Muhammad Surajo Sanusi, 2017. "Investigating the sources of Black’s leverage effect in oil and gas stocks," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1318812-131, January.
    8. Hou, Yang & Li, Steven, 2016. "Information transmission between U.S. and China index futures markets: An asymmetric DCC GARCH approach," Economic Modelling, Elsevier, vol. 52(PB), pages 884-897.
    9. Wang, Xunxiao & Wu, Chongfeng & Xu, Weidong, 2015. "Volatility forecasting: The role of lunch-break returns, overnight returns, trading volume and leverage effects," International Journal of Forecasting, Elsevier, vol. 31(3), pages 609-619.
    10. Geeta Duppati & Yang (Greg) Hou & Frank Scrimgeour, 2017. "The dynamics of price discovery for cross-listed stocks evidence from US and Chinese markets," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1389675-138, January.
    11. Pan, Qunxing & Mei, Xiaowen & Gao, Tianqing, 2022. "Modeling dynamic conditional correlations with leverage effects and volatility spillover effects: Evidence from the Chinese and US stock markets affected by the recent trade friction," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    12. Newaz, Mohammad Khaleq & Park, Jin Suk, 2019. "The impact of trade intensity and Market characteristics on asymmetric volatility, spillovers and asymmetric spillovers: Evidence from the response of international stock markets to US shocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 79-94.

  4. Prabhath Jayasinghe & Albert K. Tsui & Zhaoyong Zhang, 2014. "Exchange Rate Exposure of Sectoral Returns and Volatilities: Further Evidence From Japanese Industrial Sectors," Pacific Economic Review, Wiley Blackwell, vol. 19(2), pages 216-236, May.

    Cited by:

    1. Jaratin Lily & Mori Kogid & Debbra Toria Nipo & Sidah Idris & Imbarine Bujang, 2023. "Time-Varying Exchange Rate Exposure on Non-Financial Firms," International Journal of Business and Management, Canadian Center of Science and Education, vol. 17(8), pages 1-6, February.
    2. Jaratin Lily & Imbarine Bujang & Abdul Aziz Karia & Mori Kogid, 2018. "Exchange rate exposure revisited in Malaysia: a tale of two measures," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(4), pages 409-435, December.

  5. Long, Ling & Tsui, Albert K. & Zhang, Zhaoyong, 2014. "Estimating time-varying currency betas with contagion: New evidence from developed and emerging financial markets," Japan and the World Economy, Elsevier, vol. 30(C), pages 10-24.

    Cited by:

    1. Yang, Lu & Cai, Xiao Jing & Li, Mengling & Hamori, Shigeyuki, 2015. "Modeling dependence structures among international stock markets: Evidence from hierarchical Archimedean copulas," Economic Modelling, Elsevier, vol. 51(C), pages 308-314.
    2. Chikashi Tsuji, 2017. "How Can We Interpret the Estimates of the Full BEKK Model with Asymmetry? The Case of French and German Stock Returns," Business and Economic Research, Macrothink Institute, vol. 7(2), pages 342-351, December.
    3. Tsuji, Chikashi, 2018. "Return transmission and asymmetric volatility spillovers between oil futures and oil equities: New DCC-MEGARCH analyses," Economic Modelling, Elsevier, vol. 74(C), pages 167-185.
    4. David Allen & Michael McAleer, 2017. "Theoretical and Empirical Differences Between Diagonal and Full Bekk for Risk Management," Tinbergen Institute Discussion Papers 17-069/III, Tinbergen Institute.
    5. Tsuji, Chikashi, 2018. "New DCC analyses of return transmission, volatility spillovers, and optimal hedging among oil futures and oil equities in oil-producing countries," Applied Energy, Elsevier, vol. 229(C), pages 1202-1217.
    6. Mokni, Khaled & Mansouri, Faysal, 2017. "Conditional dependence between international stock markets: A long memory GARCH-copula model approach," Journal of Multinational Financial Management, Elsevier, vol. 42, pages 116-131.

  6. Vu Thanh Hai & Albert K. Tsui & Zhaoyong Zhang, 2013. "Measuring asymmetry and persistence in conditional volatility in real output: evidence from three East Asian tigers using a multivariate GARCH approach," Applied Economics, Taylor & Francis Journals, vol. 45(20), pages 2909-2914, July.

    Cited by:

    1. Irene Brunetti & Davide fiaschi & Lisa Gianmoena, 2013. "An Index of Growth Rate Volatility: Methodology and an Application to European Regions," Discussion Papers 2013/169, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    2. Irene Brunetti & Davide Fiaschi & Lisa Gianmoena & Angela Parenti, 2015. "Volatility in European Regions," Discussion Papers 2015/201, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    3. Prakash L. Dheeriya & Fahimeh Rezayat & Burhan F. Yavas, 2014. "Relations between Volatility and Returns of Exchange Traded Funds of Emerging Markets and of USA," Review of Economics & Finance, Better Advances Press, Canada, vol. 4, pages 44-46, Feburary.
    4. Yavas, Burhan F. & Dedi, Lidija, 2016. "An investigation of return and volatility linkages among equity markets: A study of selected European and emerging countries," Research in International Business and Finance, Elsevier, vol. 37(C), pages 583-596.

  7. Kin-Yip Ho & Albert K. Tsui & Zhaoyong Zhang, 2013. "Conditional Volatility Asymmetry Of Business Cycles: Evidence From Four Oecd Countries," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 38(3), pages 33-56, September.

    Cited by:

    1. Anna Pauliina Sandqvist, 2017. "Dynamics of sectoral business cycle comovement," Applied Economics, Taylor & Francis Journals, vol. 49(47), pages 4742-4759, October.
    2. Gustavo Freire & Marcelo Resende, 2020. "Conditional growth volatility and sectoral comovement in U.S. industrial production, 1828–1915," Empirical Economics, Springer, vol. 59(6), pages 3063-3084, December.

  8. Kin-Yip Ho & Albert K. Tsui & Zhaoyong Zhang, 2009. "Volatility Dynamics of the UK Business Cycle: a Multivariate Asymmetric Garch Approach," Economie Internationale, CEPII research center, issue 117, pages 31-46.

    Cited by:

    1. Anna Pauliina Sandqvist, 2017. "Dynamics of sectoral business cycle comovement," Applied Economics, Taylor & Francis Journals, vol. 49(47), pages 4742-4759, October.
    2. John Francis Diaz & Peh Ying Qian & Genevieve Liao Tan, 2018. "Variance Persistence in the Greater China Region: A Multivariate GARCH Approach," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 23(2), pages 49-68, July-Dec.
    3. Almeida, Pedro Cameira de & Fuinhas, José Alberto & Marques, António Cardoso, 2011. "A assimetria dos ciclos económicos: Evidência internacional usando o teste triples [The asymmetry of business cycles: International evidence using triples test]," MPRA Paper 35208, University Library of Munich, Germany.
    4. R. Khalfaoui & M. Boutahar, 2012. "Portfolio Risk Evaluation: An Approach Based on Dynamic Conditional Correlations Models and Wavelet Multi-Resolution Analysis," Working Papers halshs-00793068, HAL.
    5. Parul Bhatia & Priya Gupta, 2020. "Sub-prime Crisis or COVID-19: A Comparative Analysis of Volatility in Indian Banking Sectoral Indices," FIIB Business Review, , vol. 9(4), pages 286-299, December.
    6. Tran, Thuy Nhung, 2022. "The Volatility of the Stock Market and Financial Cycle: GARCH Family Models," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 56(1), pages 151-168.
    7. John Francis T. Diaz, 2018. "Volatility Dynamics in the ASEAN– China Free Trade Agreement," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(3), pages 287-306, December.
    8. Mohammadi, H. & Abolhasani, L. & Shahnoushi, N. & Shabanian, F., 2018. "The effects of business cycle indicators on stock market indices of food industry in Iran," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277425, International Association of Agricultural Economists.
    9. Viorica CHIRILA, 2011. "The Modelling of the Volatility of Business cycles in Romania," EuroEconomica, Danubius University of Galati, issue 30, pages 138-147, November.

  9. Jayasinghe, Prabhath & Tsui, Albert K., 2008. "Exchange rate exposure of sectoral returns and volatilities: Evidence from Japanese industrial sectors," Japan and the World Economy, Elsevier, vol. 20(4), pages 639-660, December.

    Cited by:

    1. Thorbecke, Willem, 2014. "The contribution of the yen appreciation since 2007 to the Japanese economic debacle," Journal of the Japanese and International Economies, Elsevier, vol. 31(C), pages 1-15.
    2. Snober Fazal & Muhammad Azhar Bhatti & Tusawar Iftikhar Ahmad, 2019. "Sectorial growth, Exchange rate and Fiscal policy in Developing Economies: The Interlinkages," iRASD Journal of Economics, International Research Alliance for Sustainable Development (iRASD), vol. 1(2), pages 68-81, December.
    3. ITO Takatoshi & KOIBUCHI Satoshi & SATO Kiyotaka & SHIMIZU Junko, 2013. "Exchange Rate Risk Management of Export Firms: New findings from a questionnaire survey," Discussion papers 13024, Research Institute of Economy, Trade and Industry (RIETI).
    4. José A. Roldán-Casas & Mª B. García-Moreno García, 2022. "A procedure for testing the hypothesis of weak efficiency in financial markets: a Monte Carlo simulation," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(5), pages 1289-1327, December.
    5. Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2017. "Asymmetric volatility connectedness on the forex market," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 39-56.
    6. Thai Hung, Ngo & Nguyen, Linh Thi My & Vinh Vo, Xuan, 2022. "Exchange rate volatility connectedness during Covid-19 outbreak: DECO-GARCH and Transfer Entropy approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    7. Alexey Yurievich Mikhaylov, 2018. "Volatility Spillover Effect between Stock and Exchange Rate in Oil Exporting Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 321-326.
    8. Rambeli@Ramli, Norimah & Hashim, Emilda & Hashim, Asmawi & Affizzah Awang Marikan, Dayang & Podivinsky, Jan, 2017. "Empirical Analysis on Exchange Rate Fluctuation and Sectoral Stock Returns in Malaysia," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 51(1), pages 31-38.
    9. Jing Nie & Zhichao Zhang & Zhuang Zhang & Si Zhou, 2015. "Currency Exposure in China under the New Exchange Rate Regime: National Level Evidence," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 23(3), pages 97-109, May.
    10. Juan Benjamín Duarte Duarte & Juan Manuel Mascare?nas Pérez-Iñigo, 2014. "Comprobación de la eficiencia débil en los principales mercados financieros latinoamericanos," Estudios Gerenciales, Universidad Icesi, November.
    11. Willem THORBECKE, 2020. "Weathering Safe Haven Capital Flows: Evidence from the Japanese Transportation Equipment Industry," Discussion papers 20024, Research Institute of Economy, Trade and Industry (RIETI).
    12. Willem THORBECKE & Ahmet SENGONUL, 2022. "The Impact of Exchange Rates on the Turkish Economy," Discussion papers 22043, Research Institute of Economy, Trade and Industry (RIETI).
    13. Takatoshi Ito & Satoshi Koibuchi & Kiyotaka Sato & Junko Shimizu, 2015. "Exchange Rate Exposure and Risk Management: The case of Japanese Exporting Firms," NBER Working Papers 21040, National Bureau of Economic Research, Inc.
    14. Prabhath Jayasinghe & Albert K. Tsui & Zhaoyong Zhang, 2014. "Exchange Rate Exposure of Sectoral Returns and Volatilities: Further Evidence From Japanese Industrial Sectors," Pacific Economic Review, Wiley Blackwell, vol. 19(2), pages 216-236, May.
    15. Willem THORBECKE, 2019. "The Weak Rupiah: Catching the tailwinds and avoiding the shoals," Discussion papers 19006, Research Institute of Economy, Trade and Industry (RIETI).
    16. Willem THORBECKE, 2022. "Investigating How Exchange Rates Affected the Japanese Economy after the Advent of Abenomics," Discussion papers 22003, Research Institute of Economy, Trade and Industry (RIETI).
    17. Baklaci, Hasan Fehmi & Aydoğan, Berna & Yelkenci, Tezer, 2020. "Impact of stock market trading on currency market volatility spillovers," Research in International Business and Finance, Elsevier, vol. 52(C).
    18. Lestano, Lestano, 2015. "Asymmetric Exchange Rate Exposure in Indonesian Industry Sectors," MPRA Paper 64357, University Library of Munich, Germany.
    19. Tian Yong Fu & Mark J. Holmes & Daniel F.S. Choi, 2011. "Volatility transmission and asymmetric linkages between the stock and foreign exchange markets," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 28(1), pages 36-50, March.
    20. Willem THORBECKE, 2017. "A Yen for Change: The strong yen and the Japanese automobile industry," Discussion papers 17005, Research Institute of Economy, Trade and Industry (RIETI).
    21. ITO Takatoshi & KOIBUCHI Satoshi & SATO Kiyotaka & SHIMIZU Junko, 2013. "Exchange Rate Exposure and Exchange Rate Risk Management: The case of Japanese exporting firms," Discussion papers 13025, Research Institute of Economy, Trade and Industry (RIETI).
    22. Mohammad Isleimeyyeh & Amine Ben Amar & Stéphane Goutte & Ramzi Benkraiem, 2022. "Commodity markets dynamics: What do cross-commodities over different nearest-to-maturities tell us?," Post-Print hal-03674806, HAL.
    23. Agya Atabani Adi, 2017. "Returns Effect, Shocks and Volatility Transmission between Foreign Exchange-Stock Markets in Nigeria," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 3(1), pages 29-38, March.
    24. Juan Benjamín Duarte Duarte & Juan Manuel Mascareñas Pérez-Iñigo, 2014. "¿Han sido los mercados bursátiles eficientes informacionalmente?," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, June.
    25. Jiranyakul, Komain, 2016. "Are Thai Equity Index Returns Sensitive to Interest and Exchange Rate Risks?," MPRA Paper 71602, University Library of Munich, Germany.
    26. Tsai, I-Chun & Chiang, Ming-Chu & Tsai, Huey-Cherng & Liou, Chia-Ho, 2014. "Hot money effect or foreign exchange exposure? Investigation of the exchange rate exposures of Taiwanese industries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 75-96.
    27. Willem THORBECKE & Nimesh SALIKE & CHEN Chen, 2020. "Product Complexity, Exports, and Exchange Rates: Evidence from the Japanese Chemical Industry," Discussion papers 20085, Research Institute of Economy, Trade and Industry (RIETI).
    28. Anthony Msafiri Nyangarika & Alexey Yurievich Mikhaylov & Bao-jun Tang, 2018. "Correlation of Oil Prices and Gross Domestic Product in Oil Producing Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 8(5), pages 42-48.
    29. Thorbecke, Willem, 2020. "How Japanese firms can weather endaka periods: Evidence from the transportation equipment industry," Japan and the World Economy, Elsevier, vol. 56(C).
    30. Serkan Yilmaz Kandir & Ahmet Erismis, 2010. "Investigating Exchange Rate Exposure of Bank Shares: Empirical Evidence From ISE," Istanbul Stock Exchange Review, Research and Business Development Department, Borsa Istanbul, vol. 12(46), pages 49-83.
    31. Aloui Mouna & Jarboui Anis, 2017. "Stock Market, Interest Rate and Exchange Rate Risk Effects on non Financial Stock Returns During the Financial Crisis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(3), pages 898-915, September.
    32. Ngene, Geoffrey M., 2021. "What drives dynamic connectedness of the U.S equity sectors during different business cycles?," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    33. Thorbecke, Willem & Salike, Nimesh & Chen, Chen, 2022. "The impact of exchange rate changes on the Japanese chemical industry," Japan and the World Economy, Elsevier, vol. 62(C).
    34. Joseph, Nathan Lael & Lambertides, Neophytos & Savva, Christos S., 2015. "Short-horizon excess returns and exchange rate and interest rate effects," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 54-76.
    35. Mojisola Olugbode & Ahmed El-Masry & John Pointon, 2014. "Exchange Rate and Interest Rate Exposure of UK Industries Using First-order Autoregressive Exponential GARCH-in-mean (EGARCH-M) Approach," Manchester School, University of Manchester, vol. 82(4), pages 409-464, July.

  10. Chia, Ngee-Choon & Tsui, Albert K.C., 2005. "Medical savings accounts in Singapore: how much is adequate?," Journal of Health Economics, Elsevier, vol. 24(5), pages 855-875, September.
    See citations under working paper version above.
  11. Yang, Zhenlin & Tsui, Albert K., 2004. "Analytically calibrated Box-Cox percentile limits for duration and event-time models," Insurance: Mathematics and Economics, Elsevier, vol. 35(3), pages 649-677, December.

    Cited by:

    1. Yang, Zhenlin, 2006. "A modified family of power transformations," Economics Letters, Elsevier, vol. 92(1), pages 14-19, July.
    2. Liangjun Su & Zhenlin Yang, 2008. "Asymptotics and Bootstrap for Transformed Panel Data Regressions," Development Economics Working Papers 22477, East Asian Bureau of Economic Research.

  12. Albert K. Tsui & Kin-Yip Ho, 2004. "Conditional heteroscedasticity of exchange rates: further results based on the fractionally integrated approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(5), pages 637-642.

    Cited by:

    1. Wang, Kai-Li & Fawson, Christopher & Chen, Mei-Ling & Wu, An-Chi, 2014. "Characterizing information flows among spot, deliverable forward and non-deliverable forward exchange rate markets: A cross-country comparison," Pacific-Basin Finance Journal, Elsevier, vol. 27(C), pages 115-137.
    2. Kurita, Takamitsu, 2014. "Dynamic characteristics of the daily yen–dollar exchange rate," Research in International Business and Finance, Elsevier, vol. 30(C), pages 72-82.
    3. Perry Sadorsky & Michael D. McKenzie, 2008. "Power transformation models and volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(7), pages 587-606.
    4. Kin-Yip Ho & Albert K Tsui, 2008. "Volatility Dynamics in Foreign Exchange Rates : Further Evidence from the Malaysian Ringgit and Singapore Dollar," Finance Working Papers 22571, East Asian Bureau of Economic Research.
    5. Gong, Yuting & Li, Kevin X. & Chen, Shu-Ling & Shi, Wenming, 2020. "Contagion risk between the shipping freight and stock markets: Evidence from the recent US-China trade war," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    6. Chong, James, 2005. "The forecasting abilities of implied and econometric variance-covariance models across financial measures," Journal of Economics and Business, Elsevier, vol. 57(5), pages 463-490.

  13. Ho, Kin Yip & Tsui, Albert K.C., 2004. "Analysis of real GDP growth rates of greater China: An asymmetric conditional volatility approach," China Economic Review, Elsevier, vol. 15(4), pages 424-442.

    Cited by:

    1. Ho, Kin-Yip & Tsui, Albert K. & Zhang, Zhaoyong, 2009. "Volatility dynamics of the US business cycle: A multivariate asymmetric GARCH approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2856-2868.
    2. Ryota Kojima & Shinya Nakamura & Shinsuke Ohyama, 2005. "Inflation Dynamics in China," Bank of Japan Working Paper Series 05-E-9, Bank of Japan.
    3. Vu Thanh Hai & Albert K. Tsui & Zhaoyong Zhang, 2013. "Measuring asymmetry and persistence in conditional volatility in real output: evidence from three East Asian tigers using a multivariate GARCH approach," Applied Economics, Taylor & Francis Journals, vol. 45(20), pages 2909-2914, July.
    4. Flávio Vilela Vieira & Michele Polline Veríssimo, 2005. "Crescimento Econômico De Longo Prazo Na China: Uma Investigação Econométrica," Anais do XXXIII Encontro Nacional de Economia [Proceedings of the 33rd Brazilian Economics Meeting] 067, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    5. Zhang, Mingzhu & He, Changzheng & Gu, Xin & Liatsis, Panos & Zhu, Bing, 2013. "D-GMDH: A novel inductive modelling approach in the forecasting of the industrial economy," Economic Modelling, Elsevier, vol. 30(C), pages 514-520.
    6. Gustavo Freire & Marcelo Resende, 2020. "Conditional growth volatility and sectoral comovement in U.S. industrial production, 1828–1915," Empirical Economics, Springer, vol. 59(6), pages 3063-3084, December.

  14. Chia, Ngee Choon & Tsui, Albert K. C., 2003. "Life annuities of compulsory savings and income adequacy of the elderly in Singapore," Journal of Pension Economics and Finance, Cambridge University Press, vol. 2(1), pages 41-65, March.

    Cited by:

    1. Brown, Alessio J. G. & Orszag, Mike & Snower, Dennis J., 2006. "Unemployment Accounts and Employment Incentives," IZA Discussion Papers 2105, Institute of Labor Economics (IZA).
    2. Ngee-Choon Chia & Albert K C Tsui, 2005. "Medical Savings Accounts in Singapore : How much is adequate?," Finance Working Papers 22567, East Asian Bureau of Economic Research.
    3. Meritxell Solé & Guadalupe Souto & Concepció Patxot, 2019. "Sustainability and Adequacy of the Spanish Pension System after the 2013 Reform: A Microsimulation Analysis," Hacienda Pública Española / Review of Public Economics, IEF, vol. 228(1), pages 109-150, March.
    4. Sogunro Ashim Babatunde & Adeleke Ismaila Adedeji & Ayorinde Richard Olusegun, 2019. "An assessment of adequacy of pre-retirement savings for sustainable retirement income under the Nigerian 2014 pension scheme," Journal of Economics and Management, Sciendo, vol. 35(1), pages 150-171, March.
    5. Impavido, Gregorio & Thorburn, Craig & Wadsworth, Mike, 2004. "A conceptual framework for retirement products : Risk sharing arrangements between providers and retirees," Policy Research Working Paper Series 3208, The World Bank.
    6. Ngee-Choon Chia & Albert K C Tsui, 2005. "Reverse Mortgages as Retirement Financing Instrument : An Option for “Asset-rich and Cash-poor†Singaporeans," Finance Working Papers 22566, East Asian Bureau of Economic Research.
    7. Ngee-Choon Chia & Albert K C Tsui, 2009. "Monetizing Housing Equity to Generate Retirement Incomes," Microeconomics Working Papers 22759, East Asian Bureau of Economic Research.
    8. Garcia Huitron, Manuel & Ponds, Eduard, 2016. "Participation and Choice in Funded Pension Plans : Guidance for the Netherlands from Worldwide Diversity," Other publications TiSEM 5351a381-f866-4566-82d8-9, Tilburg University, School of Economics and Management.
    9. Hess, David & Impavido, Gregorio, 2003. "Governance of public pension funds : lessons from corporate governance and international evidence," Policy Research Working Paper Series 3110, The World Bank.

  15. Ho, Kin-Yip & Tsui, Albert K. C., 2003. "Asymmetric volatility of real GDP: some evidence from Canada, Japan, the United Kingdom and the United States," Japan and the World Economy, Elsevier, vol. 15(4), pages 437-445, December.

    Cited by:

    1. Fang, WenShwo & Miller, Stephen M., 2009. "Modeling the volatility of real GDP growth: The case of Japan revisited," Japan and the World Economy, Elsevier, vol. 21(3), pages 312-324, August.
    2. Jorge Andraz & Nélia Norte, 2013. "Output volatility in the OECD: Are the member states becoming less vulnerable to exogenous shocks?," CEFAGE-UE Working Papers 2013_17, University of Evora, CEFAGE-UE (Portugal).
    3. WenShwo Fang & Stephen M. Miller & ChunShen Lee, 2007. "Cross-Country Evidence on Output Growth Volatility: Nonstationary Variance and GARCH Models," Working papers 2007-20, University of Connecticut, Department of Economics, revised Mar 2008.
    4. Nadal De Simone, Francisco & Clarke, Sean, 2007. "Asymmetry in business fluctuations: International evidence on Friedman's plucking model," Journal of International Money and Finance, Elsevier, vol. 26(1), pages 64-85, February.
    5. WenShwo Fang & Stephen M. Miller, 2012. "Output Growth and Its Volatility: The Gold Standard through the Great Moderation," Working papers 2012-11, University of Connecticut, Department of Economics.
    6. Kin-Yip Ho & Albert K. Tsui & Zhaoyong Zhang, 2013. "Conditional Volatility Asymmetry Of Business Cycles: Evidence From Four Oecd Countries," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 38(3), pages 33-56, September.
    7. 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.
    8. Ho, Kin-Yip & Tsui, Albert K. & Zhang, Zhaoyong, 2009. "Volatility dynamics of the US business cycle: A multivariate asymmetric GARCH approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2856-2868.
    9. Amélie Charles & Olivier Darné, 0. "Econometric history of the growth–volatility relationship in the USA: 1919–2017," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 0, pages 1-24.
    10. Vu Thanh Hai & Albert K. Tsui & Zhaoyong Zhang, 2013. "Measuring asymmetry and persistence in conditional volatility in real output: evidence from three East Asian tigers using a multivariate GARCH approach," Applied Economics, Taylor & Francis Journals, vol. 45(20), pages 2909-2914, July.
    11. Aykut Ekinci, 2022. "Relationship Between Output Volatility and Output in OECD Countries Revisited," Prague Economic Papers, Prague University of Economics and Business, vol. 2022(6), pages 509-537.
    12. Paolo Guarda & Abdelaziz Rouabah, 2015. "Is the financial sector Luxembourg?s engine of growth?," BCL working papers 97, Central Bank of Luxembourg.
    13. Jorge M. Andraz & Nélia M. Norte, 2017. "Gross domestic product growth, volatility and regime changes nexus: the case of Portugal," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 16(1), pages 1-16, April.
    14. Artiach, Miguel, 2012. "Leverage, skewness and amplitude asymmetric cycles," MPRA Paper 41267, University Library of Munich, Germany.
    15. Aloui, Chaker & Hkiri, Besma, 2014. "Co-movements of GCC emerging stock markets: New evidence from wavelet coherence analysis," Economic Modelling, Elsevier, vol. 36(C), pages 421-431.
    16. Saha, Mallika & Dutta, Kumar Debasis & Islam, MD. Shafiqul, 2020. "Explaining the nature of economic volatility based on GDP and international trade: a study on China and the United States," MPRA Paper 111482, University Library of Munich, Germany.
    17. Gustavo Freire & Marcelo Resende, 2020. "Conditional growth volatility and sectoral comovement in U.S. industrial production, 1828–1915," Empirical Economics, Springer, vol. 59(6), pages 3063-3084, December.

  16. Tse, Y K & Tsui, Albert K C, 2002. "A Multivariate Generalized Autoregressive Conditional Heteroscedasticity Model with Time-Varying Correlations," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 351-362, July.

    Cited by:

    1. Lee, Tae-Hwy & Long, Xiangdong, 2009. "Copula-based multivariate GARCH model with uncorrelated dependent errors," Journal of Econometrics, Elsevier, vol. 150(2), pages 207-218, June.
    2. Chen, Ray-Bing & Chen, Ying & Härdle, Wolfgang K., 2014. "TVICA—Time varying independent component analysis and its application to financial data," Computational Statistics & Data Analysis, Elsevier, vol. 74(C), pages 95-109.
    3. El Mehdi, Imen Khanchel & Mghaieth, Asma, 2017. "Volatility spillover and hedging strategies between Islamic and conventional stocks in the presence of asymmetry and long memory," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 595-611.
    4. Silvennoinen, Annastiina & Teräsvirta, Timo, 2007. "Modelling Multivariate Autoregressive Conditional Heteroskedasticity with the Double Smooth Transition Conditional Correlation GARCH model," SSE/EFI Working Paper Series in Economics and Finance 0652, Stockholm School of Economics.
    5. Erick Treviño Aguilar, 2020. "The interdependency structure in the Mexican stock exchange: A network approach," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-31, October.
    6. Boubakri, Salem & Guillaumin, Cyriac, 2015. "Regional integration of the East Asian stock markets: An empirical assessment," Journal of International Money and Finance, Elsevier, vol. 57(C), pages 136-160.
    7. Marçal, Emerson Fernandes & Pereira, Pedro L. Valls, 2008. "Testing the Hypothesis of Contagion Using Multivariate Volatility Models," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 28(2), November.
    8. Julyerme M. Tonin & Carlos M. R. Vieira & Rui M. de Sousa Fragoso & João G. Martines Filho, 2020. "Conditional correlation and volatility between spot and futures markets for soybean and corn," Agribusiness, John Wiley & Sons, Ltd., vol. 36(4), pages 707-724, October.
    9. Lucheroni, Carlo & Boland, John & Ragno, Costantino, 2019. "Scenario generation and probabilistic forecasting analysis of spatio-temporal wind speed series with multivariate autoregressive volatility models," Applied Energy, Elsevier, vol. 239(C), pages 1226-1241.
    10. Renatas Kizys & Peter Spencer, 2007. "Assessing the Relation between Equity Risk Premium and Macroeconomic Volatilities in the UK," Discussion Papers 07/13, Department of Economics, University of York.
    11. Mohamed Amin Chakroun & Mohamed Imen Gallali, 2016. "Contagion between Islamic and Conventional Banking: A GJR DCC-GARCH and VAR Analysis," International Business Research, Canadian Center of Science and Education, vol. 9(10), pages 115-126, October.
    12. Audrone Virbickaite & M. Concepción Ausín & Pedro Galeano, 2015. "Bayesian Inference Methods For Univariate And Multivariate Garch Models: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 76-96, February.
    13. Jong-Min Kim & Seong-Tae Kim & Sangjin Kim, 2020. "On the Relationship of Cryptocurrency Price with US Stock and Gold Price Using Copula Models," Mathematics, MDPI, vol. 8(11), pages 1-15, October.
    14. Virbickaitė, Audronė & Ausín, M. Concepción & Galeano, Pedro, 2016. "A Bayesian non-parametric approach to asymmetric dynamic conditional correlation model with application to portfolio selection," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 814-829.
    15. Anders Johansson, 2009. "An analysis of dynamic risk in the Greater China equity markets," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 7(3), pages 299-320.
    16. Dimitriou, Dimitrios & Kenourgios, Dimitris & Simos, Theodore, 2013. "Global financial crisis and emerging stock market contagion: A multivariate FIAPARCH–DCC approach," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 46-56.
    17. 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.
    18. Berens, Tobias & Weiß, Gregor N.F. & Wied, Dominik, 2015. "Testing for structural breaks in correlations: Does it improve Value-at-Risk forecasting?," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 135-152.
    19. Yu-Pin Hu & Ruey S. Tsay, 2014. "Principal Volatility Component Analysis," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(2), pages 153-164, April.
    20. Luis García-Álvarez & Richard Luger, 2011. "Dynamic Correlations, Estimation Risk, and Porfolio Management During the Financial Crisis," Working Papers wp2011_1103, CEMFI, revised Sep 2011.
    21. Hassan Mohammadi & Yuting Tan, 2015. "Return and Volatility Spillovers across Equity Markets in Mainland China, Hong Kong and the United States," Econometrics, MDPI, vol. 3(2), pages 1-18, April.
    22. McAleer, M.J., 2019. "What They Did Not Tell You About Algebraic (Non-)Existence, Mathematical (IR-)Regularity and (Non-)Asymptotic Properties of the Dynamic Conditional Correlation (DCC) Model," Econometric Institute Research Papers EI2019-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    23. Sofiane Aboura & Julien Chevallier, 2014. "Cross-Market Spillovers with ‘Volatility Surprise’," EconomiX Working Papers 2014-46, University of Paris Nanterre, EconomiX.
    24. Erick Trevi~no Aguilar, 2020. "The interdependency structure in the Mexican stock exchange: A network approach," Papers 2004.06676, arXiv.org.
    25. Abu S. Amin & Lucjan T. Orlowski, 2014. "Returns, Volatilities, and Correlations Across Mature, Regional, and Frontier Markets: Evidence from South Asia," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(3), pages 5-27, May.
    26. Cristina Amado & Annastiina Silvennoinen & Timo Teräsvirta, 2018. "Models with Multiplicative Decomposition of Conditional Variances and Correlations," CREATES Research Papers 2018-14, Department of Economics and Business Economics, Aarhus University.
    27. Yang (Greg) Hou & Mark Holmes, 2020. "Do higher order moments of return distribution provide better decisions in minimum-variance hedging? Evidence from US stock index futures," Australian Journal of Management, Australian School of Business, vol. 45(2), pages 240-265, May.
    28. Kiwoong Byun & Baeho Kim & Dong Hwan Oh, 2023. "Default Clustering Risk Premium and its Cross-Market Asset Pricing Implications," Finance and Economics Discussion Series 2023-055, Board of Governors of the Federal Reserve System (U.S.).
    29. Benjamin Poignard & Manabu Asaiz, 2020. "A Penalised OLS Framework for High-Dimensional Multivariate Stochastic Volatility Models," Discussion Papers in Economics and Business 20-02, Osaka University, Graduate School of Economics.
    30. Bruno Ferreira Frascaroli, 2020. "Bitcoin's innovative aspects, return volatility and uncertainty shocks," International Journal of Financial Markets and Derivatives, Inderscience Enterprises Ltd, vol. 7(3), pages 224-245.
    31. Nakatani, Tomoaki & Teräsvirta, Timo, 2007. "Positivity Constraints on the Conditional Variances in the Family of Conditional Correlation GARCH Models," SSE/EFI Working Paper Series in Economics and Finance 675, Stockholm School of Economics, revised 14 Feb 2008.
    32. Yassin Eltahir & Fethi Klabi & Osama Azmi Sallam & Hussien Omer Osman, 2019. "Interrelations in Saudi Stocks Market," International Journal of Economics and Financial Issues, Econjournals, vol. 9(3), pages 91-97.
    33. BAUWENS, Luc & BEN OMRANE, Walid & RENGIFO, Erick, 2006. "Intra-daily FX optimal portfolio allocation," LIDAM Discussion Papers CORE 2006010, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    34. Abdul Hakim & Michael McAleer, 2010. "Modelling the interactions across international stock, bond and foreign exchange markets," Applied Economics, Taylor & Francis Journals, vol. 42(7), pages 825-850.
    35. Silvo Dajčman, 2013. "Interdependence Between Some Major European Stock Markets - A Wavelet Lead/Lag Analysis," Prague Economic Papers, Prague University of Economics and Business, vol. 2013(1), pages 28-49.
    36. Kazutaka Kurasawa, 2016. "Policy Uncertainty and Foreign Exchange Rates: The DCC-GARCH Model of the US / Japanese Foreign Exchange Rate," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 5(4), pages 1-19, December.
    37. Erica R. PEREGO & Wessel N. VERMEULEN, 2013. "Macroeconomic determinants of European stock and government bond correlations: A tale of two regions," LIDAM Discussion Papers IRES 2013013, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    38. Christian Hafner & Philip Hans Franses, 2009. "A Generalized Dynamic Conditional Correlation Model: Simulation and Application to Many Assets," Econometric Reviews, Taylor & Francis Journals, vol. 28(6), pages 612-631.
    39. Feriel Gharbi, 2019. "Time-varying volatility spillovers among bitcoin and commodity currencies," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 8(4), pages 1-2.
    40. Michael Mcaleer & Bernardo da Veiga, 2008. "Forecasting value-at-risk with a parsimonious portfolio spillover GARCH (PS-GARCH) model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 1-19.
    41. Marcel Wollschlager & Rudi Schafer, 2015. "Impact of non-stationarity on estimating and modeling empirical copulas of daily stock returns," Papers 1506.08054, arXiv.org.
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    Cited by:

    1. Leong, Choi-Meng & Puah, Chin-Hong & Abu Mansor, Shazali & Evan, Lau, 2008. "Testing the Effectiveness of Monetary Policy in Malaysia Using Alternative Monetary Aggregation," MPRA Paper 10568, University Library of Munich, Germany.
    2. William Barnett & Biyan Tang, 2015. "Chinese Divisia Monetary Index and GDP Nowcasting," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201506, University of Kansas, Department of Economics, revised Nov 2015.
    3. Delatte, Anne-Laure & Fouguau, Julien & Holz, Carsten A., 2011. "Explaining money demand in China during the transition from a centrally planned to a market-based monetary system," BOFIT Discussion Papers 27/2011, Bank of Finland Institute for Emerging Economies (BOFIT).
    4. Lee, Chien Chiang & Chang, Chun Ping, 2012. "The Demand for Money in China: A Reassessment Using the Bounds Testing Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 74-94, March.
    5. Hiew, Lee-Chea & Puah, Chin-Hong & Habibullah, Muzafar Shah, 2013. "The Role of Advertising Expenditure in Measuring Indonesia’s Money Demand Function," MPRA Paper 50223, University Library of Munich, Germany.
    6. Cargill, Thomas F. & Parker, Elliott, 2004. "Price deflation, money demand, and monetary policy discontinuity: a comparative view of Japan, China, and the United States," The North American Journal of Economics and Finance, Elsevier, vol. 15(1), pages 125-147, March.
    7. Austin, Darran & Ward, Bert & Dalziel, Paul, 2007. "The demand for money in China 1987-2004: A non-linear modelling approach," China Economic Review, Elsevier, vol. 18(2), pages 190-204.
    8. Delatte, Anne-Laure & Holz, Carsten, 2013. "Understanding Money Demand in the Transition from a Centrally Planned to a Market Economy," CEPR Discussion Papers 9721, C.E.P.R. Discussion Papers.
    9. Ge Wu, 2009. "Broad Money Demand and Asset Substitution in China," IMF Working Papers 2009/131, International Monetary Fund.
    10. Baharumshah, Ahmad Zubaidi & Mohd, Siti Hamizah & Yol, Marial Awou, 2009. "Stock prices and demand for money in China: New evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(1), pages 171-187, February.

  18. Tsui, Albert K. & Yu, Qiao, 1999. "Constant conditional correlation in a bivariate GARCH model: evidence from the stock markets of China," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 48(4), pages 503-509.

    Cited by:

    1. Engle, Robert F & Sheppard, Kevin K, 2001. "Theoretical and Empirical Properties of Dynamic Conditional Correlation Multivariate GARCH," University of California at San Diego, Economics Working Paper Series qt5s2218dp, Department of Economics, UC San Diego.
    2. Shuxing Yin & Khelifa Mazouz & Abdelhafid Benamraoui & Brahim Saadouni, 2018. "Stock price reaction to profit warnings: the role of time-varying betas," Review of Quantitative Finance and Accounting, Springer, vol. 50(1), pages 67-93, January.
    3. Daniel King & Ferdi Botha, 2014. "Modelling Stock Return Volatility Dynamics in Selected African Markets," Working Papers 410, Economic Research Southern Africa.
    4. Ruili Sun & Tiefeng Ma & Shuangzhe Liu & Milind Sathye, 2019. "Improved Covariance Matrix Estimation for Portfolio Risk Measurement: A Review," JRFM, MDPI, vol. 12(1), pages 1-34, March.
    5. Juan Benjamín Duarte Duarte & Juan Manuel Mascare?nas Pérez-Iñigo, 2014. "Comprobación de la eficiencia débil en los principales mercados financieros latinoamericanos," Estudios Gerenciales, Universidad Icesi, November.
    6. Girardin, Eric & Liu, Zhenya, 2005. "Bank credit and seasonal anomalies in China's stock markets," China Economic Review, Elsevier, vol. 16(4), pages 465-483.
    7. Zouheir Mighri & Faysal Mansouri, 2013. "Dynamic Conditional Correlation Analysis of Stock Market Contagion: Evidence from the 2007-2010 Financial Crises," International Journal of Economics and Financial Issues, Econjournals, vol. 3(3), pages 637-661.
    8. Carol Alexander & Michael Coulon & Yang Han & Xiaochun Meng, 2021. "Evaluating the Discrimination Ability of Proper Multivariate Scoring Rules," Papers 2101.12693, arXiv.org.
    9. Henryk Gurgul & Paweł Majdosz, 2006. "The impact of institutional investors on risk and stock return autocorrelations in the context of the Polish pension reform," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 16(2), pages 5-30.
    10. Eric Girardin & Zhenya Liu, 2003. "The Chinese Stock Market: A Casino with 'Buffer Zones'?," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 1(1), pages 57-70.
    11. Ho, Kin Yip & Tsui, Albert K.C., 2004. "Analysis of real GDP growth rates of greater China: An asymmetric conditional volatility approach," China Economic Review, Elsevier, vol. 15(4), pages 424-442.
    12. M. Hakan Eratalay, 2016. "Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study," International Econometric Review (IER), Econometric Research Association, vol. 8(2), pages 19-52, September.
    13. Kin-Yip Ho & Albert K Tsui, 2008. "Volatility Dynamics in Foreign Exchange Rates : Further Evidence from the Malaysian Ringgit and Singapore Dollar," Finance Working Papers 22571, East Asian Bureau of Economic Research.
    14. Yegnanew A. Shiferaw, 2019. "Multivariate Analysis of East African Currency Exchange Rate Dynamics," Annals of Economics and Finance, Society for AEF, vol. 20(2), pages 587-610, November.
    15. Kin‐Yip Ho & Zhaoyong Zhang, 2012. "Dynamic Linkages among Financial Markets in the Greater China Region: A Multivariate Asymmetric Approach," The World Economy, Wiley Blackwell, vol. 35(4), pages 500-523, April.
    16. Hudson, Yawen & Yan, Meilan & Zhang, Dalu, 2020. "Herd behaviour & investor sentiment: Evidence from UK mutual funds," International Review of Financial Analysis, Elsevier, vol. 71(C).
    17. Ma, Pengcheng & Li, Daye & Li, Shuo, 2016. "Efficiency and cross-correlation in equity market during global financial crisis: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 163-176.
    18. Shi, Wenbin & Shang, Pengjian & Wang, Jing & Lin, Aijing, 2014. "Multiscale multifractal detrended cross-correlation analysis of financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 403(C), pages 35-44.
    19. Kin-Yip Ho & Ka Cheng Tsui, 2004. "Volatility Dynamics of the Tokyo Stock Exchange: A Sectoral Analysis based on the Multivariate GARCH Approach," Money Macro and Finance (MMF) Research Group Conference 2004 12, Money Macro and Finance Research Group.
    20. Yin, Yi & Shang, Pengjian, 2013. "Modified DFA and DCCA approach for quantifying the multiscale correlation structure of financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6442-6457.
    21. Giovanni Barone-Adesi & Francesco Audrino, 2006. "Average conditional correlation and tree structures for multivariate GARCH models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(8), pages 579-600.
    22. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    23. Adcock, Christopher & Hua, Xiuping & Mazouz, Khelifa & Yin, Shuxing, 2014. "Does the stock market reward innovation? European stock index reaction to negative news during the global financial crisis," Journal of International Money and Finance, Elsevier, vol. 49(PB), pages 470-491.

  19. Tse, Y. K. & Tsui, Albert K. C., 1997. "Conditional volatility in foreign exchange rates: Evidence from the Malaysian ringgit and Singapore dollar," Pacific-Basin Finance Journal, Elsevier, vol. 5(3), pages 345-356, July.

    Cited by:

    1. Ané, 2005. "Do Power GARCH models really improve value-at-risk forecasts?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 29(3), pages 337-358, September.
    2. Melike Bildirici & Özgür Ömer Ersin, 2014. "Nonlinearity, Volatility and Fractional Integration in Daily Oil Prices: Smooth Transition Autoregressive ST-FI(AP)GARCH Models," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 108-135, October.
    3. Shih Yung Wei & Jack J. W. Yang, 2011. "The Impact Of Short Sale Restrictions On Stock Volatility: Evidence From Taiwan," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 5(4), pages 89-98.
    4. Tully, Edel & Lucey, Brian M., 2007. "A power GARCH examination of the gold market," Research in International Business and Finance, Elsevier, vol. 21(2), pages 316-325, June.
    5. Ho, Kin-Yip & Tsui, Albert K. & Zhang, Zhaoyong, 2009. "Volatility dynamics of the US business cycle: A multivariate asymmetric GARCH approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2856-2868.
    6. WenShwo Fang & YiHao Lai & Stephen M. Miller, 2005. "Does Exchange Rate Risk Affect Exports Asymmetrically? Asian Evidence," Working papers 2005-09, University of Connecticut, Department of Economics.
    7. Michael McKenzie & Heather Mitchell & Robert Brooks & Robert Faff, 2001. "Power ARCH modelling of commodity futures data on the London Metal Exchange," The European Journal of Finance, Taylor & Francis Journals, vol. 7(1), pages 22-38.
    8. Charline Uwilingiyimana & Abdou Kâ Diongue, 2020. "Rwanda Currency Market Risk Analysis: Evidence From Asymmetry Effects," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 9(2), pages 1-2.
    9. Ho, Kin-Yip & Tsui, Albert K. C., 2003. "Asymmetric volatility of real GDP: some evidence from Canada, Japan, the United Kingdom and the United States," Japan and the World Economy, Elsevier, vol. 15(4), pages 437-445, December.
    10. Ho, Kin Yip & Tsui, Albert K.C., 2004. "Analysis of real GDP growth rates of greater China: An asymmetric conditional volatility approach," China Economic Review, Elsevier, vol. 15(4), pages 424-442.
    11. Burchan Sakarya & Aykut Ekinci, 2020. "Exchange-traded funds and FX volatility: Evidence from Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 20(4), pages 205-211.
    12. Perry Sadorsky & Michael D. McKenzie, 2008. "Power transformation models and volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(7), pages 587-606.
    13. Kin-Yip Ho & Albert K Tsui, 2008. "Volatility Dynamics in Foreign Exchange Rates : Further Evidence from the Malaysian Ringgit and Singapore Dollar," Finance Working Papers 22571, East Asian Bureau of Economic Research.
    14. Amira Akl Ahmed & Doaa Akl Ahmed, 2016. "Modelling Conditional Volatility and Downside Risk for Istanbul Stock Exchange," Working Papers 1028, Economic Research Forum, revised Jul 2016.
    15. Chong, James, 2005. "The forecasting abilities of implied and econometric variance-covariance models across financial measures," Journal of Economics and Business, Elsevier, vol. 57(5), pages 463-490.
    16. Bildirici, Melike & Ersin, Özgür, 2012. "Nonlinear volatility models in economics: smooth transition and neural network augmented GARCH, APGARCH, FIGARCH and FIAPGARCH models," MPRA Paper 40330, University Library of Munich, Germany, revised May 2012.
    17. Sayo Ayodeji, 2015. "Modeling Asymmetric Effect in African Currency Markets: Evidence from Kenya," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 4(3), pages 1-2.
    18. Cecilia Maya & Karoll Gómez, 2008. "What Exactly is "Bad News" in Foreign Exchange Markets? Evidence from Latin American Markets," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 45(132), pages 161-183.
    19. Wang, Jianxin & Yang, Minxian, 2009. "Asymmetric volatility in the foreign exchange markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(4), pages 597-615, October.
    20. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2018. "Public information arrival, price discovery and dynamic correlations in the Chinese renminbi markets," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 168-186.
    21. Tse, Y. K., 2000. "A test for constant correlations in a multivariate GARCH model," Journal of Econometrics, Elsevier, vol. 98(1), pages 107-127, September.
    22. Ane, Thierry, 2006. "An analysis of the flexibility of Asymmetric Power GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1293-1311, November.

  20. Koong, C.S. & Tsui, Albert K. & Chan, W.S., 1997. "On tests for long memory in Pacific Basin stock returns," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 445-449.

    Cited by:

    1. Emmanuel Anoruo & Luis Alberiko Gil-Alaña, 2010. "Mean reversion and long memory in African stock market prices," NCID Working Papers 01/2011, Navarra Center for International Development, University of Navarra.
    2. Yalama, Abdullah & Celik, Sibel, 2013. "Real or spurious long memory characteristics of volatility: Empirical evidence from an emerging market," Economic Modelling, Elsevier, vol. 30(C), pages 67-72.
    3. Yin, Xin-An & Yang, Xiao-Hua & Yang, Zhi-Feng, 2009. "Using the R/S method to determine the periodicity of time series," Chaos, Solitons & Fractals, Elsevier, vol. 39(2), pages 731-745.

  21. Tsui, Albert K. & Ali, Mukhtar M., 1994. "Exact distributions, density functions and moments of the last squares estimator in a first-order autoregressive model," Computational Statistics & Data Analysis, Elsevier, vol. 17(4), pages 433-454, May.

    Cited by:

    1. Lawford, Steve & Stamatogiannis, Michalis P., 2009. "The finite-sample effects of VAR dimensions on OLS bias, OLS variance, and minimum MSE estimators," Journal of Econometrics, Elsevier, vol. 148(2), pages 124-130, February.
    2. Mukhtar Ali, 2002. "Distribution Of The Least Squares Estimator In A First-Order Autoregressive Model," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 89-119.
    3. Aman Ullah & Yong Bao & Ru Zhang, 2014. "Moment Approximation for Unit Root Models with Nonnormal Errors," Working Papers 201401, University of California at Riverside, Department of Economics.
    4. Mukhtar M. Ali, 1996. "Distribution of the Least Squares Estimator in a First-Order Autoregressive Model," Econometrics 9610004, University Library of Munich, Germany.
    5. Kiviet, Jan F. & Phillips, Garry D.A., 2012. "Higher-order asymptotic expansions of the least-squares estimation bias in first-order dynamic regression models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3705-3729.
    6. Hisashi Tanizaki & Shigeyuki Hamori & Yoichi Matsubayashi, 2006. "On least-squares bias in the AR(p) models: Bias correction using the bootstrap methods," Statistical Papers, Springer, vol. 47(1), pages 109-124, January.
    7. Tanizaki, Hisashi, 2000. "Bias correction of OLSE in the regression model with lagged dependent variables," Computational Statistics & Data Analysis, Elsevier, vol. 34(4), pages 495-511, October.
    8. Aman Ullah & Yong Bao & Yun Wang, 2014. "Exact Distribution of the Mean Reversion Estimator in the Ornstein-Uhlenbeck Process," Working Papers 201413, University of California at Riverside, Department of Economics.

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