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Citations for "Forecasting S&P 100 volatility: the incremental information content of implied volatilities and high-frequency index returns"

by Blair, Bevan J. & Poon, Ser-Huang & Taylor, Stephen J.

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  1. Peter Christoffersen & Stefano Mazzotta, 2004. "The Informational Content of Over-the-Counter Currency Options," CIRANO Working Papers 2004s-16, CIRANO.
  2. Christopher J. Neely, 2004. "Forecasting foreign exchange volatility: why is implied volatility biased and inefficient? and does it matter?," Working Papers 2002-017, Federal Reserve Bank of St. Louis.
  3. Sven Husmann & Andreas Stephan, 2006. "On Estimating an Asset's Implicit Beta," Discussion Papers of DIW Berlin 640, DIW Berlin, German Institute for Economic Research.
  4. Guillermo Benavides & Carlos Capistrán, 2009. "Forecasting Exchange Rate Volatility: The Superior Performance of Conditional Combinations of Time Series and Option Implied Forecasts," Working Papers 2009-01, Banco de México.
  5. Chung, San-Lin & Liu, Wen-Rang & Tsai, Wei-Che, 2014. "The impact of derivatives hedging on the stock market: Evidence from Taiwan’s covered warrants market," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 123-133.
  6. Ardia, David, 2003. "Fear Trading," MPRA Paper 12983, University Library of Munich, Germany.
  7. Peter Christoffersen & Kris Jacobs & Gregory Vainberg, 2007. "Forward-Looking Betas," CREATES Research Papers 2007-39, School of Economics and Management, University of Aarhus.
  8. Mende, Alexander & Menkhoff, Lukas, 2006. "Profits and Speculation in Intra-Day Foreign Exchange Trading," Hannover Economic Papers (HEP) dp-339, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
  9. Peter Christoffersen & Kris Jacobs & Bo Young Chang, 2011. "Forecasting with Option Implied Information," CREATES Research Papers 2011-46, School of Economics and Management, University of Aarhus.
  10. Mende, Alexander, 2005. "09/11 on the USD/EUR Foreign Exchange Market," Hannover Economic Papers (HEP) dp-312, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
  11. Lahiri, Kajal & Liu, Fushang, 2005. "ARCH models for multi-period forecast uncertainty-a reality check using a panel of density forecasts," MPRA Paper 21693, University Library of Munich, Germany.
  12. Marshall, Ben R. & Cahan, Rochester H. & Cahan, Jared M., 2008. "Does intraday technical analysis in the U.S. equity market have value?," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 199-210, March.
  13. Busch, Thomas & Christensen, Bent Jesper & Nielsen, Morten Ørregaard, 2011. "The role of implied volatility in forecasting future realized volatility and jumps in foreign exchange, stock, and bond markets," Journal of Econometrics, Elsevier, vol. 160(1), pages 48-57, January.
  14. Gael M. Martin & Andrew Reidy & Jill Wright, 2007. "Does the Option Market Produce Superior Forecasts of Noise-Corrected Volatility Measures?," Monash Econometrics and Business Statistics Working Papers 5/07, Monash University, Department of Econometrics and Business Statistics.
  15. Bardong, Florian & Bartram, Söhnke M. & Yadav, Pradeep K., 2005. "Informed Trading, Information Asymmetry and Pricing of Information Risk: Empirical Evidence from the NYSE," MPRA Paper 13586, University Library of Munich, Germany, revised 10 Oct 2008.
  16. Chatayan Wiphatthanananthakul & Michael McAleer, 2009. "A Simple Expected Volatility (SEV) Index: Application to SET50 Index Options," CIRJE F-Series CIRJE-F-672, CIRJE, Faculty of Economics, University of Tokyo.
  17. Charles Corrado & Cameron Truong, 2004. "Forecasting Stock Index Volatility: The Incremental Information in the Intraday High-Low Price Range," Research Paper Series 127, Quantitative Finance Research Centre, University of Technology, Sydney.
  18. Alvaro Cartea & Dimitrios Karyampas, 2009. "The relationship between the volatility of returns and the number of jumps in financial markets," Business Economics Working Papers wb097508, Universidad Carlos III, Departamento de Economía de la Empresa.
  19. Fernandes, Marcelo & Medeiros, Marcelo C. & Scharth, Marcel, 2013. "Modeling and predicting the CBOE market volatility index," Textos para discussão 342, Escola de Economia de São Paulo, Getulio Vargas Foundation (Brazil).
  20. Shiyi Chen & Wolfgang K. Härdle & Kiho Jeong, 2010. "Forecasting volatility with support vector machine-based GARCH model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(4), pages 406-433.
  21. Nikkinen, Jussi & Sahlstrom, Petri, 2004. "Scheduled domestic and US macroeconomic news and stock valuation in Europe," Journal of Multinational Financial Management, Elsevier, vol. 14(3), pages 201-215, July.
  22. Robert F. Engle & Giampiero M. Gallo, 2003. "A Multiple Indicators Model for Volatility Using Intra-Daily Data," NBER Working Papers 10117, National Bureau of Economic Research, Inc.
  23. Bams, Dennis & Lehnert, Thorsten & Wolff, Christian C, 2005. "Loss Functions in Option Valuation: A Framework for Model Selection," CEPR Discussion Papers 4960, C.E.P.R. Discussion Papers.
  24. Yue Peng & Wing Ng, 2012. "Analysing financial contagion and asymmetric market dependence with volatility indices via copulas," Annals of Finance, Springer, vol. 8(1), pages 49-74, February.
  25. Kazuhiko Nishina & Nabil Maghrebi & Mark J. Holmes, 2006. "Are Volatility Expectations Characterized By Regime Shifts? Evidence From Implied Volatility Indices," Discussion Papers in Economics and Business 06-20, Osaka University, Graduate School of Economics and Osaka School of International Public Policy (OSIPP).
  26. Nikkinen, Jussi & Sahlstrom, Petri, 2004. "International transmission of uncertainty implicit in stock index option prices," Global Finance Journal, Elsevier, vol. 15(1), pages 1-15.
  27. Ahoniemi, Katja & Lanne, Markku, 2010. "Realized volatility and overnight returns," Research Discussion Papers 19/2010, Bank of Finland.
  28. Christian Wolff & Dennis Bams & Thorsten Lehnert, 2008. "Loss Functions in Option Valuation: A Framework for Selection," LSF Research Working Paper Series 08-11, Luxembourg School of Finance, University of Luxembourg.
  29. GIOT, Pierre & LAURENT, Sébastien, 2003. "Market risk in commodity markets: a VaR approach," CORE Discussion Papers 2003028, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  30. Wang, Yaw-Huei & Keswani, Aneel & Taylor, Stephen J., 2006. "The relationships between sentiment, returns and volatility," International Journal of Forecasting, Elsevier, vol. 22(1), pages 109-123.
  31. Jean-Marie Dufour & René García & Abderrahim Taamouti, 2008. "Measuring causality between volatility and returns with high-frequency data," Economics Working Papers we084422, Universidad Carlos III, Departamento de Economía.
  32. Hua, Jian & Manzan, Sebastiano, 2013. "Forecasting the return distribution using high-frequency volatility measures," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4381-4403.
  33. GIOT, Pierre, 2003. "The Asian financial crisis : the start of a regime switch in volatility," CORE Discussion Papers 2003078, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  34. Bo-Young Chang & Peter Christoffersen & Kris Jacobs & Gregory Vainberg, 2011. "Option-Implied Measures of Equity Risk," Review of Finance, European Finance Association, vol. 16(2), pages 385-428.
  35. Alessandro Rossi & Giampiero M. Gallo, 2002. "Volatility Estimation via Hidden Markov Models," Econometrics Working Papers Archive wp2002_14, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
  36. Stavros Degiannakis & George Filis & Renatas Kizys, 2013. "Oil price shocks and stock market volatility: evidence from European data," Working Papers 161, Bank of Greece.
  37. Castrén, Olli & Mazzotta, Stefano, 2005. "Foreign exchange option and returns based correlation forecasts: evaluation and two applications," Working Paper Series 0447, European Central Bank.
  38. Clements, Michael P. & Galvão, Ana Beatriz & Kim, Jae H., 2006. "Quantile Forecasts of Daily Exchange Rate Returns from Forecasts of Realized Volatility," The Warwick Economics Research Paper Series (TWERPS) 777, University of Warwick, Department of Economics.
  39. Sheri M. Markose & Yue Peng & Amadeo Alentorn, 2012. "Forecasting Extreme Volatility of FTSE-100 With Model Free VFTSE, Carr-Wu and Generalized Extreme Value (GEV) Option Implied Volatility Indices," Economics Discussion Papers 713, University of Essex, Department of Economics.
  40. GIOT, Pierre, 2003. "The information content of implied volatility indexes for forecasting volatility and market risk," CORE Discussion Papers 2003027, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  41. Husmann, Sven, 2005. "On Estimating an Asset's Implicit Beta," Discussion Papers 238, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
  42. Sofiane ABOURA, 2005. "GARCH Option Pricing Under Skew," The IUP Journal of Applied Economics, IUP Publications, vol. 0(6), pages 78-86, November.
  43. DeMiguel, Victor & Plyakha, Yuliya & Uppal, Raman & Vilkov, Grigory, 2010. "Improving Portfolio Selection Using Option-Implied Volatility and Skewness," CEPR Discussion Papers 7686, C.E.P.R. Discussion Papers.
  44. Warren Bailey & Lin Zheng & Yinggang Zhou, 2012. "What Makes the VIX Tick?," Working Papers 222012, Hong Kong Institute for Monetary Research.
  45. Bent Jesper Christensen & Morten Ørregaard Nielsen, 2005. "The Implied-Realized Volatility Relation with Jumps in Underlying Asset Prices," Working Papers 1186, Queen's University, Department of Economics.
  46. Gael M. Martin & Andrew Reidy & Jill Wright, 2006. "Assessing the Impact of Market Microstructure Noise and Random Jumps on the Relative Forecasting Performance of Option-Implied and Returns-Based Volatility," Monash Econometrics and Business Statistics Working Papers 10/06, Monash University, Department of Econometrics and Business Statistics.
  47. Taylor, Stephen J. & Yadav, Pradeep K. & Zhang, Yuanyuan, 2010. "The information content of implied volatilities and model-free volatility expectations: Evidence from options written on individual stocks," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 871-881, April.
  48. Ederington, Louis & Guan, Wei, 2005. "The information frown in option prices," Journal of Banking & Finance, Elsevier, vol. 29(6), pages 1429-1457, June.
  49. Fuertes, Ana-Maria & Izzeldin, Marwan & Kalotychou, Elena, 2009. "On forecasting daily stock volatility: The role of intraday information and market conditions," International Journal of Forecasting, Elsevier, vol. 25(2), pages 259-281.
  50. Maneesoonthorn, Worapree & Martin, Gael M. & Forbes, Catherine S. & Grose, Simone D., 2012. "Probabilistic forecasts of volatility and its risk premia," Journal of Econometrics, Elsevier, vol. 171(2), pages 217-236.
  51. Becker, Ralf & Clements, Adam E. & White, Scott I., 2007. "Does implied volatility provide any information beyond that captured in model-based volatility forecasts?," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2535-2549, August.
  52. Connolly, Robert A. & Stivers, Chris & Sun, Licheng, 2007. "Commonality in the time-variation of stock-stock and stock-bond return comovements," Journal of Financial Markets, Elsevier, vol. 10(2), pages 192-218, May.
  53. Kazuhiko NISHINA & Tatsuro Nabil MAGHREBI & Moo-Sung KIM, 2006. "Stock Market Volatility And The Forecasting Accuracy Of Implied Volatility Indices," Discussion Papers in Economics and Business 06-09, Osaka University, Graduate School of Economics and Osaka School of International Public Policy (OSIPP).
  54. Pong, Shiuyan & Shackleton, Mark B. & Taylor, Stephen J. & Xu, Xinzhong, 2004. "Forecasting currency volatility: A comparison of implied volatilities and AR(FI)MA models," Journal of Banking & Finance, Elsevier, vol. 28(10), pages 2541-2563, October.
  55. Chang, Chuang-Chang & Hsieh, Pei-Fang & Wang, Yaw-Huei, 2010. "Information content of options trading volume for future volatility: Evidence from the Taiwan options market," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 174-183, January.
  56. Siem Jan Koopman & Borus Jungbacker & Eugenie Hol, 2004. "Forecasting Daily Variability of the S&P 100 Stock Index using Historical, Realised and Implied Volatility Measurements," Tinbergen Institute Discussion Papers 04-016/4, Tinbergen Institute.
  57. Oomen, Roel C. A., 2004. "Modelling realized variance when returns are serially correlated," Discussion Papers, Research Unit: Market Processes and Governance SP II 2004-11, Social Science Research Center Berlin (WZB).
  58. Guillermo Benavides, 2006. "Volatility Forecasts for the Mexican Peso - U.S. Dollar Exchange Rate: An Empirical Analysis of Garch, Option Implied and Composite Forecast Models," Working Papers 2006-04, Banco de México.
  59. Thomas Busch & Bent Jesper Christensen & Morten Ørregaard Nielsen, 2005. "Forecasting Exchange Rate Volatility in the Presence of Jumps," Working Papers 1187, Queen's University, Department of Economics.
  60. Louzis, Dimitrios P. & Xanthopoulos-Sisinis, Spyros & Refenes, Apostolos P., 2011. "The role of high frequency intra-daily data, daily range and implied volatility in multi-period Value-at-Risk forecasting," MPRA Paper 35252, University Library of Munich, Germany.
  61. Chris Stivers & Licheng Sun, 2002. "Stock market uncertainty and the relation between stock and bond returns," Working Paper 2002-3, Federal Reserve Bank of Atlanta.
  62. Christopher J. Neely, 2004. "Implied volatility from options on gold futures: do statistical forecasts add value or simply paint the lilly?," Working Papers 2003-018, Federal Reserve Bank of St. Louis.
  63. Peter Carr & Liuren Wu, 2004. "Variance Risk Premia," Finance 0409015, EconWPA.
  64. Kanas, Angelos, 2012. "Modelling the risk–return relation for the S&P 100: The role of VIX," Economic Modelling, Elsevier, vol. 29(3), pages 795-809.
  65. Ana Filipa Carvalho & Jose Sa da Costa & Jose Assis Lopes, 2006. "A systematic modelling strategy for futures markets volatility," Applied Financial Economics, Taylor & Francis Journals, vol. 16(11), pages 819-833.
  66. Wilkens, Sascha & Roder, Klaus, 2006. "The informational content of option-implied distributions: Evidence from the Eurex index and interest rate futures options market," Global Finance Journal, Elsevier, vol. 17(1), pages 50-74, September.
  67. Dimitris Psychoyios & George Dotsis & Raphael Markellos, 2010. "A jump diffusion model for VIX volatility options and futures," Review of Quantitative Finance and Accounting, Springer, vol. 35(3), pages 245-269, October.
  68. repec:lan:wpaper:3046 is not listed on IDEAS
  69. Ramaprasad Bhar, 2010. "Stochastic Filtering With Applications In Finance:," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 7736.
  70. Ralf Becker & Adam Clements & Christopher Coleman-Fenn, 2009. "Forecast performance of implied volatility and the impact of the volatility risk premium," NCER Working Paper Series 45, National Centre for Econometric Research.
  71. Ser-Huang Poon & Clive W.J. Granger, 2003. "Forecasting Volatility in Financial Markets: A Review," Journal of Economic Literature, American Economic Association, vol. 41(2), pages 478-539, June.
  72. Mahmod Qadan & Joseph Yagil, 2012. "Fear sentiments and gold price: testing causality in-mean and in-variance," Applied Economics Letters, Taylor & Francis Journals, vol. 19(4), pages 363-366, March.
  73. Benjamin Miranda Tabak & Sandro Canesso de Andrade & Eui Jung Chang, 2004. "Tracking Brazilian Exchange Rate Volatility," Econometric Society 2004 Far Eastern Meetings 487, Econometric Society.
  74. Bali, Turan G. & Weinbaum, David, 2007. "A conditional extreme value volatility estimator based on high-frequency returns," Journal of Economic Dynamics and Control, Elsevier, vol. 31(2), pages 361-397, February.
  75. Tzang, Shyh-Weir & Hung, Chih-Hsing & Wang, Chou-Wen & Shyu, David So-De, 2011. "Do liquidity and sampling methods matter in constructing volatility indices? Empirical evidence from Taiwan," International Review of Economics & Finance, Elsevier, vol. 20(2), pages 312-324, April.
  76. Javier Giner Rubio & Sandra Morini Marrero, 2004. "El índice VIX para la predicción de la volatilidad: un estudio internacional," Documentos de trabajo conjunto ULL-ULPGC 2004-10, Facultad de Ciencias Económicas de la ULPGC.
  77. Aboura, Sofiane, 2005. "GARCH option pricing under skew," Economics Papers from University Paris Dauphine 123456789/2138, Paris Dauphine University.
  78. Suk Joon Byun & Dong Woo Rhee & Sol Kim, 2011. "Intraday volatility forecasting from implied volatility," International Journal of Managerial Finance, Emerald Group Publishing, vol. 7(1), pages 83-100, February.
  79. Äijö, Janne, 2008. "Implied volatility term structure linkages between VDAX, VSMI and VSTOXX volatility indices," Global Finance Journal, Elsevier, vol. 18(3), pages 290-302.
  80. Mircea ASANDULUI, 2012. "A Multi-Horizon Comparison Of Volatility Forecasts: An Application To Stock Options Traded At Euronext Exchange Amsterdam," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 10, pages 179-190, December.
  81. Bentes, Sonia R & Menezes, Rui, 2012. "On the predictive power of implied volatility indexes: A comparative analysis with GARCH forecasted volatility," MPRA Paper 42193, University Library of Munich, Germany.
  82. Adam Clements & Ralf Becker, 2009. "A nonparametric approach to forecasting realized volatility," NCER Working Paper Series 43, National Centre for Econometric Research.
  83. Wolfgang Karl Härdle & Elena Silyakova, 2012. "Implied Basket Correlation Dynamics," SFB 649 Discussion Papers SFB649DP2012-066, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  84. Lin Peng & Turan G. Bali, 2006. "Is there a risk-return trade-off? Evidence from high-frequency data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1169-1198.
  85. repec:lan:wpaper:3324 is not listed on IDEAS
  86. Dungey, Mardi & Henry, Olan T & Hvodzdyk, Lyudmyla, 2013. "The impact of jumps and thin trading on realized hedge ratios," Working Papers 2013-02, University of Tasmania, School of Economics and Finance, revised 28 Mar 2013.
  87. Kim, Namhyoung & Lee, Jaewook, 2013. "No-arbitrage implied volatility functions: Empirical evidence from KOSPI 200 index options," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 36-53.
  88. Taylor, Stephen J. & Yadav, Pradeep K. & Zhang, Yuanyuan, 2009. "The information content of implied volatilities and model-free volatility expectations: Evidence from options written on individual stocks," CFR Working Papers 09-07, University of Cologne, Centre for Financial Research (CFR).
  89. Magdalena E. Sokalska & Ananda Chanda & Robert F. Engle, 2005. "High Frequency Multiplicative Component Garch," Computing in Economics and Finance 2005 409, Society for Computational Economics.
  90. Liu, Xiaoquan & Shackleton, Mark B. & Taylor, Stephen J. & Xu, Xinzhong, 2007. "Closed-form transformations from risk-neutral to real-world distributions," Journal of Banking & Finance, Elsevier, vol. 31(5), pages 1501-1520, May.
  91. Rohini Grover & Susan Thomas, 2012. "Liquidity Considerations in Estimating Implied Volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(8), pages 714-741, 08.
  92. Wiphatthanananthakul, C. & McAleer, M.J., 2008. "A simple expected volatility (SEV) index," Econometric Institute Research Papers EI 2008-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  93. Jui-Cheng Hung & Ren-Xi Ni & Matthew C. Chang, 2009. "The Information Contents of VIX Index and Range-based Volatility on Volatility Forecasting Performance of S&P 500," Economics Bulletin, AccessEcon, vol. 29(4), pages 2592-2604.
  94. Ahoniemi, Katja & Lanne, Markku, 2013. "Overnight stock returns and realized volatility," International Journal of Forecasting, Elsevier, vol. 29(4), pages 592-604.
  95. Damien Lynch & Nikolaos Panigirtzoglou, 2004. "Option Implied and Realised Measures of Variance," Money Macro and Finance (MMF) Research Group Conference 2004 94, Money Macro and Finance Research Group.
  96. Souček, Michael & Todorova, Neda, 2013. "Realized volatility transmission between crude oil and equity futures markets: A multivariate HAR approach," Energy Economics, Elsevier, vol. 40(C), pages 586-597.
  97. Alex Huang, 2011. "Volatility Modeling by Asymmetrical Quadratic Effect with Diminishing Marginal Impact," Computational Economics, Society for Computational Economics, vol. 37(3), pages 301-330, March.
  98. Wong, Woon K. & Tu, Anthony H., 2009. "Market imperfections and the information content of implied and realized volatility," Pacific-Basin Finance Journal, Elsevier, vol. 17(1), pages 58-79, January.
  99. Jaesun Noh & Tae-Hwan Kim, 2006. "Forecasting volatility of futures market: the S&P 500 and FTSE 100 futures using high frequency returns and implied volatility," Applied Economics, Taylor & Francis Journals, vol. 38(4), pages 395-413.