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Citations for "Generalized autoregressive conditional heteroskedasticity"

by Tim Bollerslev

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  1. Christophe Schinckus & Çınla Akdere, 2015. "Towards a New Way of Teaching Statistics in Economics: The Case for Econophysics," Ekonomi-tek - International Economics Journal, Turkish Economic Association, vol. 4(3), pages 89-108, September.
  2. Fokianos, Konstantinos & Rahbek, Anders & Tjøstheim, Dag, 2009. "Poisson Autoregression," Journal of the American Statistical Association, American Statistical Association, vol. 104(488), pages 1430-1439.
  3. Alethea Rea & William Rea & Marco Reale & Carl Scarrott, 2012. "A comparison of Spillover Effects before, during and after the 2008 Financial Crisis," Working Papers in Economics 12/03, University of Canterbury, Department of Economics and Finance.
  4. Oberndorfer, Ulrich, 2008. "EU Emission Allowances and the Stock Market: Evidence from the Electricity Industry," ZEW Discussion Papers 08-059, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  5. Naifar, Nader & Hammoudeh, Shawkat & Al dohaiman, Mohamed S., 2016. "Dependence structure between sukuk (Islamic bonds) and stock market conditions: An empirical analysis with Archimedean copulas," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 148-165.
  6. Leopoldo Catania & Nima Nonejad, 2016. "Density Forecasts and the Leverage Effect: Some Evidence from Observation and Parameter-Driven Volatility Models," Papers 1605.00230, arXiv.org, revised Nov 2016.
  7. Krebs, Tom, 1997. "Statistical Equilibrium in One-Step Forward Looking Economic Models," Journal of Economic Theory, Elsevier, vol. 73(2), pages 365-394, April.
  8. Diether Beuermann & Antonios Antoniou & Alejandro Bernales, 2005. "The Dynamics of the Short-Term Interest Rate in the UK," Finance 0512029, EconWPA.
  9. Burak Saltoglu, 2003. "Comparing forecasting ability of parametric and non-parametric methods: an application with Canadian monthly interest rates," Applied Financial Economics, Taylor & Francis Journals, vol. 13(3), pages 169-176.
  10. Ågren, Martin, 2005. "Myopic Loss Aversion, the Equity Premium Puzzle, and GARCH," Working Paper Series 2005:11, Uppsala University, Department of Economics.
  11. Mario Bonino & Matteo Camelia & Paolo Pigato, 2016. "A multivariate model for financial indices and an algorithm for detection of jumps in the volatility," Working Papers hal-01408495, HAL.
  12. Pieter J. van der Sluis, 1997. "Post-Sample Prediction Tests for the Efficient Method of Moments," Tinbergen Institute Discussion Papers 97-054/4, Tinbergen Institute.
  13. Szabolcs Blazsek & Marco Villatoro, 2015. "Is Beta- t -EGARCH(1,1) superior to GARCH(1,1)?," Applied Economics, Taylor & Francis Journals, vol. 47(17), pages 1764-1774, April.
  14. Narayan, Paresh Kumar & Liu, Ruipeng & Westerlund, Joakim, 2016. "A GARCH model for testing market efficiency," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 121-138.
  15. Carl Chiarella & Roberto Dieci & Xue-Zhong He & Kai Li, 2013. "An evolutionary CAPM under heterogeneous beliefs," Annals of Finance, Springer, vol. 9(2), pages 185-215, May.
  16. Chia-Lin Chang & Michael Mcaleer, 2012. "Aggregation, Heterogeneous Autoregression And Volatility Of Daily International Tourist Arrivals And Exchange Rates," The Japanese Economic Review, Japanese Economic Association, vol. 63(3), pages 397-419, 09.
  17. Bauwens, Luc & Dufays, Arnaud & Rombouts, Jeroen V.K., 2014. "Marginal likelihood for Markov-switching and change-point GARCH models," Journal of Econometrics, Elsevier, vol. 178(P3), pages 508-522.
  18. Chang, C-L. & McAleer, M.J. & Tansuchat, R., 2010. "Analyzing and Forecasting Volatility Spillovers and Asymmetries in Major Crude Oil Spot, Forward and Futures Markets," Econometric Institute Research Papers EI 2010-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  19. Robert F. Engle & Joshua V. Rosenberg, 1995. "GARCH Gamma," NBER Working Papers 5128, National Bureau of Economic Research, Inc.
  20. Haas Markus, 2010. "Skew-Normal Mixture and Markov-Switching GARCH Processes," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-56, September.
  21. Nasr, Adnen Ben & Lux, Thomas & Ajmi, Ahdi Noomen & Gupta, Rangan, 2016. "Forecasting the volatility of the Dow Jones Islamic Stock Market Index: Long memory vs. regime switching," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 559-571.
  22. Fabrizio Cipollini & Robert F. Engle & Giampiero M. Gallo, 2013. "Semiparametric Vector Mem," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(7), pages 1067-1086, November.
  23. Camilo Serrano & Martin Hoesli, 2010. "Are Securitized Real Estate Returns more Predictable than Stock Returns?," The Journal of Real Estate Finance and Economics, Springer, vol. 41(2), pages 170-192, August.
  24. Paraschiv, Florentina, 2013. "Price Dynamics in Electricity Markets," Working Papers on Finance 1314, University of St. Gallen, School of Finance.
  25. Christian Walter & Jose Lopez, 1997. "Is implied correlation worth calculating? Evidence from foreign exchange options and historical data," Research Paper 9730, Federal Reserve Bank of New York.
  26. Marimoutou, Vêlayoudom & Soury, Manel, 2015. "Energy markets and CO2 emissions: Analysis by stochastic copula autoregressive model," Energy, Elsevier, vol. 88(C), pages 417-429.
  27. Jonathan P. O'Brien & Timothy B. Folta, 2009. "A transaction cost perspective on why, how, and when cash impacts firm performance," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(7), pages 465-479.
  28. Alberto Humala, 2013. "Some stylized facts of return in the foreign exchange and stock markets in Peru," Studies in Economics and Finance, Emerald Group Publishing, vol. 30(2), pages 139-158, May.
  29. Bernd Hayo & Ali M. Kutan & Matthias Neuenkirch, 2012. "Federal Reserve Communications and Emerging Equity Markets," Southern Economic Journal, Southern Economic Association, vol. 78(3), pages 1041-1056, January.
  30. Hou, Yang & Li, Steven, 2013. "Hedging performance of Chinese stock index futures: An empirical analysis using wavelet analysis and flexible bivariate GARCH approaches," Pacific-Basin Finance Journal, Elsevier, vol. 24(C), pages 109-131.
  31. Pål Boug & Andreas Fagereng, 2010. "Exchange rate volatility and export performance: a cointegrated VAR approach," Applied Economics, Taylor & Francis Journals, vol. 42(7), pages 851-864.
  32. Hu, John Wei-Shan & Chen, Mei-Yuan & Fok, Robert C. W. & Huang, Bwo-Nung, 1997. "Causality in volatility and volatility spillover effects between US, Japan and four equity markets in the South China Growth Triangular," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 7(4), pages 351-367, December.
  33. LINTON, Olivier & PERRON, Benoît, 1999. "The Shape of the Risk Premium: Evidence from a Semiparametric Garch Model," Cahiers de recherche 9911, Universite de Montreal, Departement de sciences economiques.
  34. Dankenbring, Henning, 1998. "Volatility estimates of the short term interest rate with an application to German data," SFB 373 Discussion Papers 1998,96, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  35. John Wei, K. C. & Liu, Yu-Jane & Yang, Chau-Chen & Chaung, Guey-Shiang, 1995. "Volatility and price change spillover effects across the developed and emerging markets," Pacific-Basin Finance Journal, Elsevier, vol. 3(1), pages 113-136, May.
  36. Li, Liuling & Mizrach, Bruce, 2010. "Tail return analysis of Bear Stearns' credit default swaps," Economic Modelling, Elsevier, vol. 27(6), pages 1529-1536, November.
  37. Markus Haberer, 2004. "Might a Securities Transactions Tax Mitigate Excess Volatility?: Some Evidence From the Literature," CoFE Discussion Paper 04-06, Center of Finance and Econometrics, University of Konstanz.
  38. Cho, Guedae & Kim, MinKyoung & Koo, Won W., 2003. "Relative Agricultural Price Changes In Different Time Horizons," 2003 Annual meeting, July 27-30, Montreal, Canada 22249, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  39. Jie Zhu, 2008. "FIEGARCH-M and and International Crises: A Cross-Country Analysis," CREATES Research Papers 2008-16, Department of Economics and Business Economics, Aarhus University.
  40. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Forecasting Volatility and Spillovers in Crude Oil Spot, Forward and Futures Markets," CARF F-Series CARF-F-163, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
  41. Valeriy Gavrishchaka & Supriya Banerjee, 2006. "Support Vector Machine as an Efficient Framework for Stock Market Volatility Forecasting," Computational Management Science, Springer, vol. 3(2), pages 147-160, April.
  42. Isao Ishida, 2005. "Scanning Multivariate Conditional Densities with Probability Integral Transforms," CIRJE F-Series CIRJE-F-369, CIRJE, Faculty of Economics, University of Tokyo.
  43. Minot, Nicholas, 2014. "Food price volatility in sub-Saharan Africa: Has it really increased?," Food Policy, Elsevier, vol. 45(C), pages 45-56.
  44. Christian Francq & Jean-Michel Zakoïan, 2009. "Bartlett's formula for a general class of nonlinear processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(4), pages 449-465, 07.
  45. Hammoudeh, Shawkat M. & Yuan, Yuan & McAleer, Michael & Thompson, Mark A., 2010. "Precious metals-exchange rate volatility transmissions and hedging strategies," International Review of Economics & Finance, Elsevier, vol. 19(4), pages 633-647, October.
  46. McAleer, Michael & Jimenez-Martin, Juan-Angel & Perez-Amaral, Teodosio, 2013. "GFC-robust risk management strategies under the Basel Accord," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 97-111.
  47. P., Srinivasan & M., Kalaivani, 2013. "Day-of-the-Week Effects in the Indian stock market," MPRA Paper 46805, University Library of Munich, Germany.
  48. Liesenfeld, Roman, 1997. "Trading volume and the short and long-run components of volatility," Tübinger Diskussionsbeiträge 102, University of Tübingen, School of Business and Economics.
  49. repec:eme:jespps:jes-05-2015-0091 is not listed on IDEAS
  50. Nikolaus Hautsch & Vahidin Jeleskovic, 2008. "Modelling High-Frequency Volatility and Liquidity Using Multiplicative Error Models," SFB 649 Discussion Papers SFB649DP2008-047, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  51. Susan Ryan & Andrew C. Worthington, 2002. "Time-Varying Market, Interest Rate and Exchange Rate Risk in Australian Bank Portfolio Stock Returns: A Garch-M Approach," School of Economics and Finance Discussion Papers and Working Papers Series 112, School of Economics and Finance, Queensland University of Technology.
  52. Eric Ghysels & Andrew Harvey & Éric Renault, 1995. "Stochastic Volatility," CIRANO Working Papers 95s-49, CIRANO.
  53. Arif Oduncu, 2011. "The Effects of Currency Futures Trading on Turkish Currency Market," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 5(1), pages 97-109.
  54. Shively, Gerald E., 2001. "Price thresholds, price volatility, and the private costs of investment in a developing country grain market," Economic Modelling, Elsevier, vol. 18(3), pages 399-414, August.
  55. 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.
  56. Tay, Nicholas S. P. & Linn, Scott C., 2001. "Fuzzy inductive reasoning, expectation formation and the behavior of security prices," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 321-361, March.
  57. Nobuya Takezawa & Noriyoshi Shiraishi, 1998. "A Note on the Term Structure of Implied Volatilities for the Yen/U.S. Dollar Currency Option," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 5(3), pages 227-236, November.
  58. Slah Bahloul & Fathi Abid, 2012. "Regime-Switching Behavior in the Conditional Volatility of MENA Stock Market Returns," Working Papers 683, Economic Research Forum, revised 2012.
  59. Charles M. Engel, 1994. "Tests of CAPM on an International Portfolio of Bonds and Stocks," NBER Chapters,in: The Internationalization of Equity Markets, pages 149-183 National Bureau of Economic Research, Inc.
  60. Bohl, Martin T. & Diesteldorf, Jeanne & Siklos, Pierre L., 2015. "The effect of index futures trading on volatility: Three markets for Chinese stocks," China Economic Review, Elsevier, vol. 34(C), pages 207-224.
  61. Naseem, N.A.M & Tan, Hui-Boon & Hamizah, M.S, 2008. "Exchange Rate Misalignment, Volatility and Import Flows in Malaysia," MPRA Paper 41571, University Library of Munich, Germany.
  62. Baviera, Roberto & Pasquini, Michele & Serva, Maurizio & Vergni, Davide & Vulpiani, Angelo, 2001. "Correlations and multi-affinity in high frequency financial datasets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 300(3), pages 551-557.
  63. Ball, Clifford A. & Torous, Walter N., 2000. "Stochastic correlation across international stock markets," Journal of Empirical Finance, Elsevier, vol. 7(3-4), pages 373-388, November.
  64. Yue Fang & John Zhang, 1999. "Performance of control charts for autoregressive conditional heteroscedastic processes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(6), pages 701-714.
  65. Francisco Blasques & Siem Jan Koopman & André Lucas, 2014. "Maximum Likelihood Estimation for correctly Specified Generalized Autoregressive Score Models: Feedback Effects, Contraction Conditions and Asymptotic Properties," Tinbergen Institute Discussion Papers 14-074/III, Tinbergen Institute.
  66. Elyasiani, Elyas & Mansur, Iqbal & Pagano, Michael S., 2007. "Convergence and risk-return linkages across financial service firms," Journal of Banking & Finance, Elsevier, vol. 31(4), pages 1167-1190, April.
  67. Chia-Lin Chang & Chia-Ping Liu & Michael McAleer, 2016. "Volatility Spillovers for Spot, Futures, and ETF Prices in Energy and Agriculture," Tinbergen Institute Discussion Papers 16-046/III, Tinbergen Institute.
  68. Bystrom, Hans N. E., 2002. "Using simulated currency rainbow options to evaluate covariance matrix forecasts," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 12(3), pages 216-230, July.
  69. Collin-Dufresne, Pierre & Goldstein, Robert S. & Jones, Christopher S., 2009. "Can interest rate volatility be extracted from the cross section of bond yields?," Journal of Financial Economics, Elsevier, vol. 94(1), pages 47-66, October.
  70. Huo, Rui & Ahmed, Abdullahi D., 2017. "Return and volatility spillovers effects: Evaluating the impact of Shanghai-Hong Kong Stock Connect," Economic Modelling, Elsevier, vol. 61(C), pages 260-272.
  71. Blair, Bevan J. & Poon, Ser-Huang & Taylor, Stephen J., 2001. "Modelling S&P 100 volatility: The information content of stock returns," Journal of Banking & Finance, Elsevier, vol. 25(9), pages 1665-1679, September.
  72. Gordon R. Richards, 2004. "A fractal forecasting model for financial time series," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(8), pages 586-601.
  73. Gannon, Gerard L. & Choi, Daniel F. S., 1998. "Structural models: Intra/Inter-day volatility transmission and spillover persistence of the HSI, HSIF and S&P500 futures," International Review of Financial Analysis, Elsevier, vol. 7(1), pages 19-36.
  74. Chia-Lin Chang & Michael Mcaleer, 2009. "Daily Tourist Arrivals, Exchange Rates and Voatility for Korea and Taiwan," Korean Economic Review, Korean Economic Association, vol. 25, pages 241-267.
  75. Louzis, Dimitrios P. & Xanthopoulos-Sisinis, Spyros & Refenes, Apostolos P., 2011. "Are realized volatility models good candidates for alternative Value at Risk prediction strategies?," MPRA Paper 30364, University Library of Munich, Germany.
  76. Egelkraut, Thorsten M. & Garcia, Philip, 2005. "Intermediate Volatility Forecasts Using Implied Forward Volatility: The Performance of Selected Agricultural Commodity Options," 2005 Conference, April 18-19, 2005, St. Louis, Missouri 19033, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
  77. Hao Chen & Qiulan Wan & Yurong Wang, 2014. "Refined Diebold-Mariano Test Methods for the Evaluation of Wind Power Forecasting Models," Energies, MDPI, Open Access Journal, vol. 7(7), pages 1-14, July.
  78. Wölfle, Marco, 2007. "Price Discovery for Cross-Listed Securities from Emerging Eastern European Countries," ZEW Discussion Papers 07-067, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  79. 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.
  80. Antonio Ruiz-Porras & Javier Emmanuel Anguiano Pita, 2016. "Modelación de las dinámicas, volatilidades e interrelaciones de los rendimientos del petróleo mexicano, BRENT y WTI," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 175-194, November.
  81. M. Angeles Carnero & Siem Jan Koopman & Marius Ooms, 2003. "Periodic Heteroskedastic RegARFIMA Models for Daily Electricity Spot Prices," Tinbergen Institute Discussion Papers 03-071/4, Tinbergen Institute.
  82. Adam Clements & Yin Liao, 2014. "The role in index jumps and cojumps in forecasting stock index volatility: Evidence from the Dow Jones index," NCER Working Paper Series 101, National Centre for Econometric Research.
  83. Ahmed, Mansur & Goodwin, Barry, 2015. "Copula-Based Modeling of Dependence Structure among International Food Grain Markets," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206059, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
  84. Andrews, Donald W.K. & Guggenberger, Patrik, 2012. "Asymptotics for LS, GLS, and feasible GLS statistics in an AR(1) model with conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 169(2), pages 196-210.
  85. E. Ruiz & M.A. Carnero & D. Pereira, 2004. "Effects of Level Outliers on the Identification and Estimation of GARCH Models," Econometric Society 2004 Australasian Meetings 21, Econometric Society.
  86. Kliber Agata, 2016. "Impact Of The Ban On Uncovered SCDS Trade On the Interdependencies Between The CDS Market And Other Sectors Of Financial Markets. The Case Of Safe And Developed Versus Risky And Developing European Ma," Comparative Economic Research, De Gruyter Open, vol. 19(1), pages 77-99, March.
  87. Nijman, Theo & Sentana, Enrique, 1996. "Marginalization and contemporaneous aggregation in multivariate GARCH processes," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 71-87.
  88. Memmel, Christoph & Wehn, Carsten, 2005. "The supervisor's portfolio: the market price risk of German banks from 2001 to 2003 - Analysis and models for risk aggregation," Discussion Paper Series 2: Banking and Financial Studies 2005,02, Deutsche Bundesbank, Research Centre.
  89. Richard Copp, 2010. "Should funds invest in socially responsible investments during downturns?: Financial and legal implications of the fund manager's dilemma," Accounting Research Journal, Emerald Group Publishing, vol. 23(3), pages 254-266, November.
  90. Tomanova, Lucie, 2013. "Exchange Rate Volatility and the Foreign Trade in CEEC," EY International Congress on Economics I (EYC2013), October 24-25, 2013, Ankara, Turkey 267, Ekonomik Yaklasim Association.
  91. Mensah, Justice T. & Pomaa-Berko, Maame & Adom, Philip Kofi, 2012. "Does Automation Improve Stock Market Efficiency? Evidence from Ghana," MPRA Paper 43642, University Library of Munich, Germany.
  92. Hammoudeh, Shawkat & Malik, Farooq & McAleer, Michael, 2011. "Risk management of precious metals," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(4), pages 435-441.
  93. Gürtler, Marc & Rauh, Ronald, 2012. "Challenging traditional risk models by a non-stationary approach with nonparametric heteroscedasticity," Working Papers IF41V1, Technische Universität Braunschweig, Institute of Finance.
  94. Haas, Markus, 2010. "Covariance forecasts and long-run correlations in a Markov-switching model for dynamic correlations," Finance Research Letters, Elsevier, vol. 7(2), pages 86-97, June.
  95. Mensah, Jones Odei & Alagidede, Paul, 2017. "How are Africa's emerging stock markets related to advanced markets? Evidence from copulas," Economic Modelling, Elsevier, vol. 60(C), pages 1-10.
  96. Kenourgios, Dimitris & Naifar, Nader & Dimitriou, Dimitrios, 2016. "Islamic financial markets and global crises: Contagion or decoupling?," Economic Modelling, Elsevier, vol. 57(C), pages 36-46.
  97. Meister, Alexander & Kreiß, Jens-Peter, 2016. "Statistical inference for nonparametric GARCH models," Stochastic Processes and their Applications, Elsevier, vol. 126(10), pages 3009-3040.
  98. Christian Pierdzioch, 2000. "The Effectiveness of the FX Market Interventions of the Bundesbank During the Louvre Period: An Options-Based Analysis," Kiel Working Papers 971, Kiel Institute for the World Economy.
  99. Lee, Jim, 2002. "Federal funds rate target changes and interest rate volatility," Journal of Economics and Business, Elsevier, vol. 54(2), pages 159-191.
  100. Kulp-Tåg, Sofie, 2007. "An Empirical Investigation of Value-at-Risk in Long and Short Trading Positions," Working Papers 526, Hanken School of Economics.
  101. Chang, C-L. & McAleer, M.J., 2017. "The Fiction of Full BEKK," Econometric Institute Research Papers EI2017-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  102. J. I. Pena & E. Ruiz, 1995. "Stock market regulations and international financial integration: the case of Spain," The European Journal of Finance, Taylor & Francis Journals, vol. 1(4), pages 367-382.
  103. Francisco Blasques & Siem Jan Koopman & André Lucas, 2014. "Information Theoretic Optimality of Observation Driven Time Series Models," Tinbergen Institute Discussion Papers 14-046/III, Tinbergen Institute.
  104. Charles S. Bos, 2011. "Relating Stochastic Volatility Estimation Methods," Tinbergen Institute Discussion Papers 11-049/4, Tinbergen Institute.
  105. da Silva, Afonso Gonçalves & Robinson, Peter M., 2008. "Fractional Cointegration In Stochastic Volatility Models," Econometric Theory, Cambridge University Press, vol. 24(05), pages 1207-1253, October.
  106. Sendhil, R. & Ramasundaram, P., 2014. "Performance and Relevance of Wheat Futures Market in India – An Exploratory Analysis," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 174839, Agricultural and Applied Economics Association.
  107. repec:spr:qualqt:v:51:y:2017:i:3:d:10.1007_s11135-016-0341-2 is not listed on IDEAS
  108. Nguyen Van, Phuong, 2015. "A good news or bad news has greater impact on the Vietnamese stock market?," MPRA Paper 61194, University Library of Munich, Germany.
  109. Krishnamurti, Chandrasekhar & Hoque, Ariful, 2011. "Efficiency of European emissions markets: Lessons and implications," Energy Policy, Elsevier, vol. 39(10), pages 6575-6582, October.
  110. Charle Augusto Llondoño, 2011. "Regresión del cuantil aplicada al modelo de redes neuronales artificiales. Una aproximación de la estructura CAViaR para el mercado de valores colombi," ENSAYOS SOBRE POLÍTICA ECONÓMICA, BANCO DE LA REPÚBLICA - ESPE, vol. 29(64), pages 62-109, July.
  111. Piotr Fryzlewicz & Theofanis Sapatinas & Suhasini Subba Rao, 2008. "Normalized least-squares estimation in time-varying ARCH models," LSE Research Online Documents on Economics 25187, London School of Economics and Political Science, LSE Library.
  112. Broto, Carmen & Díaz-Cassou, Javier & Erce, Aitor, 2011. "Measuring and explaining the volatility of capital flows to emerging countries," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 1941-1953, August.
  113. Georgiana-Denisa Banulescu & Bertrand Candelon & Christophe Hurlin & Sébastien Laurent, 2014. "Do We Need Ultra-High Frequency Data to Forecast Variances?," Working Papers halshs-01078158, HAL.
  114. Goncalves, Silvia & Kilian, Lutz, 2004. "Bootstrapping autoregressions with conditional heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 123(1), pages 89-120, November.
  115. Sáenz Rodríguez, Estela & Sabaté Sort, Marcela & Gadea Rivas, María Dolores, 2009. "La medición del riesgo externo. Un estudio aplicado al caso español en el periodo 1960-2000/The Measurement of External Risk. An Applied Study to the Spanish Case in the Period 1960-2000," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 27, pages 575(16á)-57, Agosto.
  116. Varma, Jayanth R., 1999. "Rupee-Dollar Option Pricing and Risk Measurement: Jump Processes, Changing Volatility and Kurtosis Shifts," IIMA Working Papers WP1999-04-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
  117. Li, Junye, 2013. "An unscented Kalman smoother for volatility extraction: Evidence from stock prices and options," Computational Statistics & Data Analysis, Elsevier, vol. 58(C), pages 15-26.
  118. Divino, J.A. & McAleer, M.J., 2008. "Modelling sustainable international tourism demand to the Brazilian Amazon," Econometric Institute Research Papers EI 2008-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  119. Haas, Markus & Mittnik, Stefan & Paolella, Marc S., 2009. "Asymmetric multivariate normal mixture GARCH," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2129-2154, April.
  120. Jacinto Marabel Romo, 2012. "Volatility Regimes For The Vix Index," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 20(2), pages 111-134, Autumn.
  121. Nour Meddahi, 2002. "A theoretical comparison between integrated and realized volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 479-508.
  122. Chang, Chia-Lin, 2015. "Modelling a latent daily Tourism Financial Conditions Index," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 113-126.
  123. Timotheos Angelidis & George Skiadopoulos, 2008. "Measuring The Market Risk Of Freight Rates: A Value-At-Risk Approach," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 11(05), pages 447-469.
  124. Fedorova, Elena, 2011. "Transfer of financial risk in emerging eastern European stock markets : A sectoral perspective," BOFIT Discussion Papers 24/2011, Bank of Finland, Institute for Economies in Transition.
  125. Koulakiotis, Athanasios & Kartalis, Nikos & Lyroudi, Katerina & Papasyriopoulos, Nicholas, 2013. "The impact of corporate governance, regulatory differences and futures contracts on movements among portfolios of cross-listed equities: The case of Germany," Journal of Multinational Financial Management, Elsevier, vol. 23(1), pages 34-53.
  126. Charles, Amélie & Darné, Olivier, 2014. "Volatility persistence in crude oil markets," Energy Policy, Elsevier, vol. 65(C), pages 729-742.
  127. Jose Sanchez-Fung, 2003. "Non-linear modelling of daily exchange rate returns, volatility, and 'news' in a small developing economy," Applied Economics Letters, Taylor & Francis Journals, vol. 10(4), pages 247-250.
  128. Babsiri, Mohamed El & Zakoian, Jean-Michel, 2001. "Contemporaneous asymmetry in GARCH processes," Journal of Econometrics, Elsevier, vol. 101(2), pages 257-294, April.
  129. Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Esfandiar Maasoumi & Michael McAleer & Teodosio Pérez-Amaral, 2015. "A Stochastic Dominance Approach to the Basel III Dilemma: Expected Shortfall or VaR?," Tinbergen Institute Discussion Papers 15-056/III, Tinbergen Institute.
  130. Thieu, Le Quyen, 2016. "Variance targeting estimation of the BEKK-X model," MPRA Paper 75572, University Library of Munich, Germany.
  131. Andersen, Torben G & Sorensen, Bent E, 1996. "GMM Estimation of a Stochastic Volatility Model: A Monte Carlo Study," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 328-352, July.
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