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Citations

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Cited by:

  1. Luis Fernando Melo Velandia & Oscar Reinaldo Becerra Camargo, 2005. "Medidas De Riesgo, Caracteristicas Y Técnicas De Medición: Una Aplicación Del Var Y El Es A La Tasa Interbancaria De Colombia," Borradores de Economia 3198, Banco de la Republica.
  2. Tim Bollerslev, 2008. "Glossary to ARCH (GARCH)," CREATES Research Papers 2008-49, Department of Economics and Business Economics, Aarhus University.
  3. Meddahi, N & Renault, E., 1996. "Aggregations and Marginalization of Garch and Stochastic Volatility Models," Papers 96.433, Toulouse - GREMAQ.
  4. Kian-Ping Lim & Melvin J. Hinich & Venus Khim-Sen Liew, 2005. "Statistical Inadequacy of GARCH Models for Asian Stock Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 4(3), pages 263-279, December.
  5. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
  6. Riccardo De Blasis & Filippo Petroni, 2021. "Price Leadership and Volatility Linkages between Oil and Renewable Energy Firms during the COVID-19 Pandemic," Energies, MDPI, vol. 14(9), pages 1-16, May.
  7. Cristina Amado & Annastiina Silvennoinen & Timo Ter¨asvirta, 2018. "Models with Multiplicative Decomposition of Conditional Variances and Correlations," NIPE Working Papers 07/2018, NIPE - Universidade do Minho.
  8. Ataurima Arellano, Miguel & Rodríguez, Gabriel, 2020. "Empirical modeling of high-income and emerging stock and Forex market return volatility using Markov-switching GARCH models," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
  9. Lucena, Pierre & Figueiredo, Antonio Carlos & Lachtermacher, Gerson, 2008. "Critérios de formação de carteiras de ativos através de hierarchical clusters [Criteria of portfolio formation of stocks through hierarchical clusters]," MPRA Paper 38105, University Library of Munich, Germany.
  10. D’Amico, Guglielmo & Gismondi, Fulvio & Petroni, Filippo & Prattico, Flavio, 2019. "Stock market daily volatility and information measures of predictability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 518(C), pages 22-29.
  11. Xu, Qingqing & Meng, Tianci & Sha, Yue & Jiang, Xia, 2022. "Volatility in metallic resources prices in COVID-19 and financial Crises-2008: Evidence from global market," Resources Policy, Elsevier, vol. 78(C).
  12. Laïb Naâmane & Lemdani Mohamed & Ould Saïd Elias, 2013. "A functional conditional symmetry test for a GARCH-SM model: Power asymptotic properties," Statistics & Risk Modeling, De Gruyter, vol. 30(1), pages 75-104, March.
  13. Chiang, Thomas C. & Chen, Xiaoyu, 2016. "Stock returns and economic fundamentals in an emerging market: An empirical investigation of domestic and global market forces," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 107-120.
  14. Mykland, Per Aslak, 2019. "Combining statistical intervals and market prices: The worst case state price distribution," Journal of Econometrics, Elsevier, vol. 212(1), pages 272-285.
  15. Neely, Christopher J., 2009. "Forecasting foreign exchange volatility: Why is implied volatility biased and inefficient? And does it matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(1), pages 188-205, February.
  16. Wang, Joanna J.J. & Chan, Jennifer S.K. & Choy, S.T. Boris, 2011. "Stochastic volatility models with leverage and heavy-tailed distributions: A Bayesian approach using scale mixtures," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 852-862, January.
  17. M. F. Omran, 1997. "Moment condition failure in stock returns: UK evidence," Applied Mathematical Finance, Taylor & Francis Journals, vol. 4(4), pages 201-206.
  18. Iori, Giulia, 2002. "A microsimulation of traders activity in the stock market: the role of heterogeneity, agents' interactions and trade frictions," Journal of Economic Behavior & Organization, Elsevier, vol. 49(2), pages 269-285, October.
  19. Luis Fernando Melo Velandia & Oscar reinaldo Becerra Camargo, 2005. "Medidas de Riesgo, Características y Técnicas de Medición: Una Aplicación del VAR y el ES a la Tasa Interbancaria de Colombia," Borradores de Economia 343, Banco de la Republica de Colombia.
  20. LUBRANO, Michel, 1998. "Smooth transition GARCH models: a Bayesian perspective," LIDAM Discussion Papers CORE 1998066, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  21. Kerry Patterson & Michael A. Thornton, 2013. "A review of econometric concepts and methods for empirical macroeconomics," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 2, pages 4-42, Edward Elgar Publishing.
  22. Zhang, Li-Hua & Zhang, Wei-Guo & Xu, Wei-Jun & Xiao, Wei-Lin, 2012. "The double exponential jump diffusion model for pricing European options under fuzzy environments," Economic Modelling, Elsevier, vol. 29(3), pages 780-786.
  23. Pierre Giot & Sébastien Laurent, 2003. "Value-at-risk for long and short trading positions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(6), pages 641-663.
  24. Willy Alanya & Gabriel Rodríguez, 2019. "Asymmetries in Volatility: An Empirical Study for the Peruvian Stock and Forex Markets," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-18, March.
  25. Cornelis A. Los, 2005. "Measurement of Financial Risk Persistence," Finance 0502013, University Library of Munich, Germany.
  26. Tang, Lei-Han, 2003. "Langevin modelling of high-frequency Hang-Seng index data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 272-277.
  27. Neil Shephard & Michael K Pitt, 1995. "Likelihood analysis of non-Gaussian parameter driven models," Economics Papers 15 & 108., Economics Group, Nuffield College, University of Oxford.
  28. Dimitrios Lyridis & Nikolaos Manos & Panayotis Zacharioudakis & Athanassios Pappas & Aristidis Mavris, 2017. "Measuring Tanker Market Future Risk with the use of FORESIM," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 67(1), pages 38-53, January-M.
  29. Balcombe, Kelvin, 2009. "The Nature and Determinants of Volatility in Agricultural Prices," MPRA Paper 24819, University Library of Munich, Germany.
  30. J. James Reade & Ulrich Volz, 2009. "Too Much to Lose, or More to Gain? Should Sweden Join the Euro?," Economics Series Working Papers 442, University of Oxford, Department of Economics.
  31. Wang, Yanlong & Li, Haixia & Altuntaş, Mehmet, 2022. "Volatility in natural resources commodity prices: Evaluating volatility in oil and gas rents," Resources Policy, Elsevier, vol. 77(C).
  32. Lu, Yang K. & Perron, Pierre, 2010. "Modeling and forecasting stock return volatility using a random level shift model," Journal of Empirical Finance, Elsevier, vol. 17(1), pages 138-156, January.
  33. Kakushadze, Zura, 2017. "Volatility smile as relativistic effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 475(C), pages 59-76.
  34. Frank J. Fabozzi & Radu Tunaru & Tony Wu, 2004. "Modeling Volatility for the Chinese Equity Markets," Annals of Economics and Finance, Society for AEF, vol. 5(1), pages 79-92, May.
  35. Jiří Trešl & Dagmar Blatná, 2007. "Dynamic Analysis of Selected European Stock Markets," Prague Economic Papers, Prague University of Economics and Business, vol. 2007(4), pages 291-302.
  36. Mazin Al Janabi, 2013. "Optimal and coherent economic-capital structures: evidence from long and short-sales trading positions under illiquid market perspectives," Annals of Operations Research, Springer, vol. 205(1), pages 109-139, May.
  37. Ali Alami & Eric Renault, 2001. "Risque de modèle de volatilité," CIRANO Working Papers 2001s-06, CIRANO.
  38. Zura Kakushadze, 2016. "Volatility Smile as Relativistic Effect," Papers 1610.02456, arXiv.org, revised Feb 2017.
  39. Giuliano Lorenzoni & Adrian Pizzinga & Rodrigo Atherino & Cristiano Fernandes & Rosane Riera Freire, 2007. "On the Statistical Validation of Technical Analysis," Brazilian Review of Finance, Brazilian Society of Finance, vol. 5(1), pages 3-28.
  40. Yanan Li & David E. Giles, 2015. "Modelling Volatility Spillover Effects Between Developed Stock Markets and Asian Emerging Stock Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 20(2), pages 155-177, March.
  41. Proietti, Tommaso, 2014. "Exponential Smoothing, Long Memory and Volatility Prediction," MPRA Paper 57230, University Library of Munich, Germany.
  42. Dennis Alvaro & Ángel Guillén & Gabriel Rodríguez, 2017. "Modelling the volatility of commodities prices using a stochastic volatility model with random level shifts," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 153(1), pages 71-103, February.
  43. Charles S. Bos & Phillip Gould, 2007. "Dynamic Correlations and Optimal Hedge Ratios," Tinbergen Institute Discussion Papers 07-025/4, Tinbergen Institute.
  44. Petra Posedel, 2006. "Analysis of the Exchange Rate and Pricing Foreign Currency Options on the Croatian Market: the NGARCH Model as an Alternative to the Black-Scholes Model," Financial Theory and Practice, Institute of Public Finance, vol. 30(4), pages 347-368.
  45. Siem Jan Koopman & Eugenie Hol Uspensky, 2002. "The stochastic volatility in mean model: empirical evidence from international stock markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(6), pages 667-689.
  46. Brunetti, Celso & Scotti, Chiara & Mariano, Roberto S. & Tan, Augustine H.H., 2008. "Markov switching GARCH models of currency turmoil in Southeast Asia," Emerging Markets Review, Elsevier, vol. 9(2), pages 104-128, June.
  47. Francisco Ruge‐Murcia, 2017. "Skewness Risk and Bond Prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 379-400, March.
  48. Lin, Shiwei & Wang, Yanan & Niu, Xiaojian & Dördüncü, Hazar, 2022. "Revisiting volatility in global natural resources commodities? Evidence from global data," Resources Policy, Elsevier, vol. 77(C).
  49. S. G. Kou, 2002. "A Jump-Diffusion Model for Option Pricing," Management Science, INFORMS, vol. 48(8), pages 1086-1101, August.
  50. Martha Misas A. & María Teresa Ramírez G. & Luisa Fernanda Silva E., 2001. "Exportaciones no tradicionales en Colombia y sus determinantes," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 19(39), pages 73-114, June.
  51. Trucíos, Carlos, 2019. "Forecasting Bitcoin risk measures: A robust approach," International Journal of Forecasting, Elsevier, vol. 35(3), pages 836-847.
  52. Martha Misas & Maria Teresa Ramirez, 2004. "Long-run income and price elasticities of demand for Colombian nontraditional exports: a multivariate cointegration framework," Applied Economics, Taylor & Francis Journals, vol. 36(9), pages 931-938.
  53. Thomas C. Chiang & Jiandong Li, 2012. "Stock Returns and Risk: Evidence from Quantile," JRFM, MDPI, vol. 5(1), pages 1-39, December.
  54. Dufour, Jean-Marie & Khalaf, Lynda & Bernard, Jean-Thomas & Genest, Ian, 2004. "Simulation-based finite-sample tests for heteroskedasticity and ARCH effects," Journal of Econometrics, Elsevier, vol. 122(2), pages 317-347, October.
  55. Rama Cont & Jean-Philippe Bouchaud, 1997. "Herd behavior and aggregate fluctuations in financial markets," Science & Finance (CFM) working paper archive 500028, Science & Finance, Capital Fund Management.
  56. Bauwens, L. & Bos, C.S. & van Dijk, H.K., 1999. "Adaptive Polar Sampling with an Application to a Bayes Measure of Value-at-Risk," Econometric Institute Research Papers TI 99-082/4, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  57. Charles S. Bos & Ronald J. Mahieu & Herman K. Van Dijk, 2000. "Daily exchange rate behaviour and hedging of currency risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 671-696.
  58. Thomas Mikosch, 2004. "Is it really long memory we see in financial returns?," Econometrics 0412002, University Library of Munich, Germany.
  59. Pitt, Michael K., 2002. "Smooth particle filters for likelihood evaluation and maximisation," Economic Research Papers 269464, University of Warwick - Department of Economics.
  60. Tang, Lei-Han & Huang, Zhi-Feng, 2000. "Modelling high-frequency economic time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 288(1), pages 444-450.
  61. Luan, Yunpeng & Ye, Shili & Li, Yanmei & Jia, Lu & Yue, Xiao-Guang, 2022. "Revisiting natural resources volatility via TGARCH and EGARCH," Resources Policy, Elsevier, vol. 78(C).
  62. Steven Kou, 2000. "A Jump Diffusion Model for Option Pricing with Three Properties: Leptokurtic Feature, Volatility Smile, and Analytical Tractability," Econometric Society World Congress 2000 Contributed Papers 0062, Econometric Society.
  63. Narayan, Seema & Smyth, Russell, 2015. "The financial econometrics of price discovery and predictability," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 380-393.
  64. Tommaso Proietti, 2016. "Component-wise Representations of Long-memory Models and Volatility Prediction," Journal of Financial Econometrics, Oxford University Press, vol. 14(4), pages 668-692.
  65. Zhang, Yanyan & chang, Hsuling & Saliba, Chafic & Hasnaoui, Amir, 2022. "Metallic natural resources commodity prices volatility in the pandemic: Evidence for silver, platinum, and palladium," Resources Policy, Elsevier, vol. 78(C).
  66. Yiwen Cui & Lei Li & Zijie Tang, 2021. "Risk Analysis of China Stock Market During Economic Downturns–Based on GARCH-VaR and Wavelet Transformation Approaches," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 11(4), pages 322-336, April.
  67. Hatemi-J, Abdulnasser, 2013. "A New Asymmetric GARCH Model: Testing, Estimation and Application," MPRA Paper 45170, University Library of Munich, Germany.
  68. Smith, J.Q. & Santos, Antonio A.F., 2006. "Second-Order Filter Distribution Approximations for Financial Time Series With Extreme Outliers," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 329-337, July.
  69. Tristan Nguyen & Thi Thanh Mai Bui, 2018. "Modeling the Volatility and Forecasting the Stock Price of the German Stock Index (DAX30)," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 4(4), pages 72-92, 04-2018.
  70. Chandra, S. Ajay, 2009. "Testing the equality of error distributions from k independent GARCH models," Journal of Multivariate Analysis, Elsevier, vol. 100(6), pages 1245-1260, July.
  71. Issler, João Victor, 1999. "Estimating and forecasting the volatility of Brazilian finance series using arch models (Preliminary Version)," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 347, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
  72. 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.
  73. Jianqing Fan & Jingjin Zhang & Ke Yu, 2008. "Asset Allocation and Risk Assessment with Gross Exposure Constraints for Vast Portfolios," Papers 0812.2604, arXiv.org.
  74. Menelaos Karanasos, "undated". "Some Exact Formulae for the Constant Correlation and Diagonal M - Garch Models," Discussion Papers 00/14, Department of Economics, University of York.
  75. Yuta Kurose & Yasuhiro Omori, 2012. "Bayesian Analysis of Time-Varying Quantiles Using a Smoothing Spline," CIRJE F-Series CIRJE-F-845, CIRJE, Faculty of Economics, University of Tokyo.
  76. Ahmed El Ghini & Youssef Saidi, 2017. "Return and volatility spillovers in the Moroccan stock market during the financial crisis," Empirical Economics, Springer, vol. 52(4), pages 1481-1504, June.
  77. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2005. "Volatility Forecasting," PIER Working Paper Archive 05-011, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  78. Phillip, Andrew & Chan, Jennifer & Peiris, Shelton, 2020. "On generalized bivariate student-t Gegenbauer long memory stochastic volatility models with leverage: Bayesian forecasting of cryptocurrencies with a focus on Bitcoin," Econometrics and Statistics, Elsevier, vol. 16(C), pages 69-90.
  79. Zhongjun Qu & Pierre Perron, 2008. "A Stochastic Volatility Model with Random Level Shifts: Theory and Applications to S&P 500 and NASDAQ Return Indices," Boston University - Department of Economics - Working Papers Series wp2008-007, Boston University - Department of Economics.
  80. Hay, Diana & Rastegar, Reza & Roitershtein, Alexander, 2011. "Multivariate linear recursions with Markov-dependent coefficients," Journal of Multivariate Analysis, Elsevier, vol. 102(3), pages 521-527, March.
  81. Payam MOHAMMAD ALIHA & Tamat SARMIDI & Fathin FAIZAH SAID, 2018. "Investigating The Impact Of Financial Innovation On The Volatility Of The Demand For Money In The United Stated In The Context Of An Arch/Garch Model," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(1), pages 19-26, June.
  82. Zhang, Jie & Chen, Zhiguo & Altuntaş, Mehmet, 2022. "Tracing volatility in natural resources, green finance and investment in energy resources: Fresh evidence from China," Resources Policy, Elsevier, vol. 79(C).
  83. Teräsvirta, Timo, 2006. "An introduction to univariate GARCH models," SSE/EFI Working Paper Series in Economics and Finance 646, Stockholm School of Economics.
  84. Chen, Xiaoyu & Chiang, Thomas C., 2016. "Stock returns and economic forces—An empirical investigation of Chinese markets," Global Finance Journal, Elsevier, vol. 30(C), pages 45-65.
  85. Omar Rojas & Carlos Trejo-Pech, 2014. "Financial Time Series: Stylized Facts for the Mexican Stock Exchange Index Compared to Developed Markets," Papers 1412.3126, arXiv.org.
  86. Pitt, Michael K. & Walker, Stephen G., 2001. "Construction of Stationary Time Series via the Gibbs Sampler with Application to Volatility Models," Economic Research Papers 269365, University of Warwick - Department of Economics.
  87. H. E. Roman & M. Porto, 2008. "Fractional Brownian Motion With Stochastic Variance: Modeling Absolute Returns In Stock Markets," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 19(08), pages 1221-1242.
  88. Mao, Xiuping & Ruiz Ortega, Esther & Lopes Moreira Da Veiga, María Helena, 2014. "Score driven asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS ws142618, Universidad Carlos III de Madrid. Departamento de Estadística.
  89. Zhou, Yang & Wang, Xiaoxiao & Dong, Rebecca Kechen & Pu, Ruihui & Yue, Xiao-Guang, 2022. "Natural resources commodity prices volatility: Evidence from COVID-19 for the US economy," Resources Policy, Elsevier, vol. 78(C).
  90. Lee, Sangyeol & Na, Okyoung, 2005. "Test for parameter change in stochastic processes based on conditional least-squares estimator," Journal of Multivariate Analysis, Elsevier, vol. 93(2), pages 375-393, April.
  91. Amano, Tomoyuki & Taniguchi, Masanobu, 2008. "Asymptotic efficiency of conditional least squares estimators for ARCH models," Statistics & Probability Letters, Elsevier, vol. 78(2), pages 179-185, February.
  92. Rama CONT & Jean-Philippe BOUCHAUD, 1997. "Herd behavior and aggregate fluctuations in financial markets," Finance 9712008, University Library of Munich, Germany, revised 06 Jan 1998.
  93. Lucena, Pierre & Figueiredo, Antonio Carlos, 2008. "Anomalias no Mercado no Mercado de Ações Brasileiro: uma Modificação do Modelo de Fama de Fama e French [Anomalies on the Brazilian Stock Market: a Modification of the Fama and French Model]," MPRA Paper 38127, University Library of Munich, Germany.
  94. Mazin A.M. Al Janabi, 2021. "Is optimum always optimal? A revisit of the mean‐variance method under nonlinear measures of dependence and non‐normal liquidity constraints," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 387-415, April.
  95. Gregory Connor & Lisa R. Goldberg & Robert A. Korajczyk, 2010. "Portfolio Risk Analysis," Economics Books, Princeton University Press, edition 1, number 9224.
  96. Jörg Polzehl & Vladimir Spokoiny, 2006. "Varying coefficient GARCH versus local constant volatility modeling. Comparison of the predictive power," SFB 649 Discussion Papers SFB649DP2006-033, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  97. Šimpach Ondřej & Langhamrová Jitka, 2013. "Forecasting Future Salaries in the Czech Republic Using Stochastic Modelling," Business Systems Research, Sciendo, vol. 4(2), pages 4-16, December.
  98. Markus Haas, 2004. "Mixed Normal Conditional Heteroskedasticity," The Journal of Financial Econometrics, Society for Financial Econometrics, vol. 2(2), pages 211-250.
  99. Thomas C. Chiang & Yuanqing Zhang, 2018. "An Empirical Investigation of Risk-Return Relations in Chinese Equity Markets: Evidence from Aggregate and Sectoral Data," IJFS, MDPI, vol. 6(2), pages 1-22, March.
  100. Pitt, Michael K, 2002. "Smooth Particle Filters for Likelihood Evaluation and Maximisation," The Warwick Economics Research Paper Series (TWERPS) 651, University of Warwick, Department of Economics.
  101. Doaa Akl Ahmed & Mamdouh M. Abdelsalam, 2015. "Modelling the Density of Egyptian Quarterly CPI Inflation," Working Papers 936, Economic Research Forum, revised Aug 2015.
  102. Patricia Lengua Lafosse & Cristian Bayes & Gabriel Rodríguez, 2015. "A Stochastic Volatility Model with GH Skew Student’s t-Distribution: Application to Latin-American Stock Returns," Documentos de Trabajo / Working Papers 2015-405, Departamento de Economía - Pontificia Universidad Católica del Perú.
  103. Solarin Sakiru Adebola & Jauhari Dahalan, 2012. "An Empirical Analysis of Stock Markets Integration in Selected African Countries," EuroEconomica, Danubius University of Galati, issue 2(31), pages 166-177, May.
  104. Şensoy, Ahmet, 2012. "Analysis on Runs of Daily Returns in Istanbul Stock Exchange," MPRA Paper 42645, University Library of Munich, Germany.
  105. Mihail Turlakov, 2016. "Leverage and Uncertainty," Papers 1612.07194, arXiv.org.
  106. repec:wop:ubisop:0013 is not listed on IDEAS
  107. Lei Ren & Wolfgang Polasek, 2000. "A Multivariate Garch Model For Exchange Rates In The Us, Germany And Japan," Computing in Economics and Finance 2000 223, Society for Computational Economics.
  108. Ni, Xiewen & Wang, Zanxin & Akbar, Ahsan & Ali, Sher, 2022. "Measuring natural resources rents volatility: Evidence from EGARCH and TGARCH for global data," Resources Policy, Elsevier, vol. 76(C).
  109. Lengua Lafosse, Patricia & Rodríguez, Gabriel, 2018. "An empirical application of a stochastic volatility model with GH skew Student's t-distribution to the volatility of Latin-American stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 155-173.
  110. Brenner, Menachem & Pasquariello, Paolo & Subrahmanyam, Marti, 2009. "On the Volatility and Comovement of U.S. Financial Markets around Macroeconomic News Announcements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(6), pages 1265-1289, December.
  111. Huang, Wei-Qiang & Wang, Dan, 2018. "Systemic importance analysis of chinese financial institutions based on volatility spillover network," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 19-30.
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