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Errors in Implied Volatility Estimation

Citations

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Cited by:

  1. Kang, Jangkoo & Park, Hyoung-Jin, 2008. "The information content of net buying pressure: Evidence from the KOSPI 200 index option market," Journal of Financial Markets, Elsevier, vol. 11(1), pages 36-56, February.
  2. Jianhui Li & Sebastian A. Gehricke & Jin E. Zhang, 2019. "How do US options traders “smirk” on China? Evidence from FXI options," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(11), pages 1450-1470, November.
  3. Beber, Alessandro & Brandt, Michael W., 2006. "The effect of macroeconomic news on beliefs and preferences: Evidence from the options market," Journal of Monetary Economics, Elsevier, vol. 53(8), pages 1997-2039, November.
  4. Rustam Jamilov & Hélène Rey & Ahmed Tahoun, 2021. "The Anatomy of Cyber Risk," NBER Working Papers 28906, National Bureau of Economic Research, Inc.
  5. Patrick Dennis & Stewart Mayhew, 2009. "Microstructural biases in empirical tests of option pricing models," Review of Derivatives Research, Springer, vol. 12(3), pages 169-191, October.
  6. Jan Vlachý, 2014. "Empirická analýza obchodování s opcemi na akcie Škodových závodů 1928-1938 [An Empirical Analysis of Škoda Co. Equity Options Trading 1928-1938]," Politická ekonomie, Prague University of Economics and Business, vol. 2014(5), pages 645-661.
  7. Lüders, Erik & Franke, Günter, 2005. "Return predictability and stock market crashes in a simple rational expectations model," CoFE Discussion Papers 05/05, University of Konstanz, Center of Finance and Econometrics (CoFE).
  8. Schertler, Andrea, 2016. "Pricing effects when competitors arrive: The case of discount certificates in Germany," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 84-99.
  9. Lim, Dominic & Durand, Robert B. & Yang, Joey Wenling, 2014. "The microstructure of fear, the Fama–French factors and the global financial crisis of 2007 and 2008," Global Finance Journal, Elsevier, vol. 25(3), pages 169-180.
  10. Fernandes, Marcelo & Medeiros, Marcelo C. & Scharth, Marcel, 2014. "Modeling and predicting the CBOE market volatility index," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 1-10.
  11. Baller, Stefanie & Entrop, Oliver & Schober, Alexander & Wilkens, Marco, 2017. "What drives performance in the speculative market of short-term exchange-traded retail products?," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-26-17, University of Passau, Faculty of Business and Economics.
  12. Rogers, Jonathan L. & Skinner, Douglas J. & Van Buskirk, Andrew, 2009. "Earnings guidance and market uncertainty," Journal of Accounting and Economics, Elsevier, vol. 48(1), pages 90-109, October.
  13. Massimo Guidolin & Giulia F. Panzeri, 2024. "Forecasting the CBOE VIX and SKEW Indices Using Heterogeneous Autoregressive Models," Forecasting, MDPI, vol. 6(3), pages 1-33, September.
  14. Judith Glaser & Pascal Heider, 2012. "Arbitrage-free approximation of call price surfaces and input data risk," Quantitative Finance, Taylor & Francis Journals, vol. 12(1), pages 61-73, August.
  15. Dillschneider, Yannick & Maurer, Raimond, 2019. "Functional Ross recovery: Theoretical results and empirical tests," Journal of Economic Dynamics and Control, Elsevier, vol. 108(C).
  16. Borochin, Paul A. & Cicon, James E. & DeLisle, R. Jared & Price, S. McKay, 2018. "The effects of conference call tones on market perceptions of value uncertainty," Journal of Financial Markets, Elsevier, vol. 40(C), pages 75-91.
  17. Matthias Fengler, 2009. "Arbitrage-free smoothing of the implied volatility surface," Quantitative Finance, Taylor & Francis Journals, vol. 9(4), pages 417-428.
  18. Shang, Han Lin & Kearney, Fearghal, 2022. "Dynamic functional time-series forecasts of foreign exchange implied volatility surfaces," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1025-1049.
  19. Kaeck, Andreas & Seeger, Norman J., 2020. "VIX derivatives, hedging and vol-of-vol risk," European Journal of Operational Research, Elsevier, vol. 283(2), pages 767-782.
  20. Francesco Audrino & Dominik Colagelo, 2007. "Forecasting Implied Volatility Surfaces," University of St. Gallen Department of Economics working paper series 2007 2007-42, Department of Economics, University of St. Gallen.
  21. Svec, Jiri & Katrak, Xerxis, 2017. "Forecasting volatility with interacting multiple models," Finance Research Letters, Elsevier, vol. 20(C), pages 245-252.
  22. Bianconi, Marcelo & MacLachlan, Scott & Sammon, Marco, 2015. "Implied volatility and the risk-free rate of return in options markets," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 1-26.
  23. Cliff R. Moll & Stephen P. Huffman, 2016. "The incremental information content of innovations in implied idiosyncratic volatility," Review of Financial Economics, John Wiley & Sons, vol. 30(1), pages 33-44, September.
  24. Baller, Stefanie, 2017. "Risk taking in the market of speculative exchange-traded retail products: Do socio-economic factors matter?," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-27-17, University of Passau, Faculty of Business and Economics.
  25. Bryan Kelly & Ľuboš Pástor & Pietro Veronesi, 2016. "The Price of Political Uncertainty: Theory and Evidence from the Option Market," Journal of Finance, American Finance Association, vol. 71(5), pages 2417-2480, October.
  26. Ko, Hyungjin & Son, Bumho & Lee, Jaewook, 2024. "Portfolio insurance strategy in the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 67(PA).
  27. Yuxuan Xia & Zhenyu Cui, 2018. "An exact and explicit implied volatility inversion formula," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 5(03), pages 1-29, September.
  28. Baule, Rainer & Münchhalfen, Patrick & Shkel, David & Tallau, Christian, 2023. "Fair-washing in the market for structured retail products? Voluntary self-regulation versus government regulation," Journal of Banking & Finance, Elsevier, vol. 148(C).
  29. Wang, Ximei & Zhao, Yanlong & Bao, Ying, 2019. "Arbitrage-free conditions for implied volatility surface by Delta," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 819-834.
  30. Ahoniemi, Katja & Lanne, Markku, 2009. "Joint modeling of call and put implied volatility," International Journal of Forecasting, Elsevier, vol. 25(2), pages 239-258.
  31. Franke, Günter & Lüders, Erik, 2004. "Why Do Asset Prices Not Follow Random Walks?," CoFE Discussion Papers 04/05, University of Konstanz, Center of Finance and Econometrics (CoFE).
  32. Barbara A. Bliss & Jeffrey A. Clark & R. Jared DeLisle, 2018. "Bank risk, financial stress, and bank derivative use," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(7), pages 804-821, July.
  33. Baule, Rainer, 2011. "The order flow of discount certificates and issuer pricing behavior," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 3120-3133, November.
  34. Beer, Simone & Braun, Alexander, 2022. "Market-consistent valuation of natural catastrophe risk," Journal of Banking & Finance, Elsevier, vol. 134(C).
  35. Entrop, Oliver & Fischer, Georg & McKenzie, Michael & Wilkens, Marco & Winkler, Christoph, 2016. "How does pricing affect investors’ product choice? Evidence from the market for discount certificates," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 195-215.
  36. Yue, Tian & Gehricke, Sebastian A. & Zhang, Jin E. & Pan, Zheyao, 2021. "The implied volatility smirk in the Chinese equity options market," Pacific-Basin Finance Journal, Elsevier, vol. 69(C).
  37. Martin Wallmeier, 2024. "Quality issues of implied volatilities of index and stock options in the OptionMetrics IvyDB database," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(5), pages 854-875, May.
  38. Rohini Grover & Ajay Shah, 2014. "The imprecision of volatility indexes," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2014-031, Indira Gandhi Institute of Development Research, Mumbai, India.
  39. Baller, Stefanie & Entrop, Oliver & McKenzie, Michael & Wilkens, Marco, 2016. "Market makers’ optimal price-setting policy for exchange-traded certificates," Journal of Banking & Finance, Elsevier, vol. 71(C), pages 206-226.
  40. Bernales, Alejandro & Guidolin, Massimo, 2014. "Can we forecast the implied volatility surface dynamics of equity options? Predictability and economic value tests," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 326-342.
  41. Bo Zhao & Stewart Hodges, 2013. "Parametric modeling of implied smile functions: a generalized SVI model," Review of Derivatives Research, Springer, vol. 16(1), pages 53-77, April.
  42. Bernd Engelmann & Matthias Fengler & Morten Nalholm & Peter Schwendner, 2006. "Static versus dynamic hedges: an empirical comparison for barrier options," Review of Derivatives Research, Springer, vol. 9(3), pages 239-264, November.
  43. Franke, Günter & Lüders, Erik, 2006. "Return predictability and stock market crashes in a simple rational expectation models," CoFE Discussion Papers 06/05, University of Konstanz, Center of Finance and Econometrics (CoFE).
  44. Le, Van & Zurbruegg, Ralf, 2014. "Forecasting option smile dynamics," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 32-45.
  45. Chalamandaris, Georgios & Tsekrekos, Andrianos E., 2011. "How important is the term structure in implied volatility surface modeling? Evidence from foreign exchange options," Journal of International Money and Finance, Elsevier, vol. 30(4), pages 623-640, June.
  46. Jiang, George J. & Konstantinidi, Eirini & Skiadopoulos, George, 2012. "Volatility spillovers and the effect of news announcements," Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2260-2273.
  47. Don M. Chance & Thomas A. Hanson & Weiping Li & Jayaram Muthuswamy, 2017. "A bias in the volatility smile," Review of Derivatives Research, Springer, vol. 20(1), pages 47-90, April.
  48. repec:hum:wpaper:sfb649dp2005-019 is not listed on IDEAS
  49. Connor J.A. Stuart & Sebastian A. Gehricke & Jin E. Zhang & Xinfeng Ruan, 2021. "Implied volatility smirk in the Australian dollar market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4573-4599, September.
  50. Wagner, Niklas & Szimayer, Alexander, 2004. "Local and spillover shocks in implied market volatility: evidence for the U.S. and Germany," Research in International Business and Finance, Elsevier, vol. 18(3), pages 237-251, September.
  51. Dan Stefanica & Radoš Radoičić, 2017. "An Explicit Implied Volatility Formula," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(07), pages 1-32, November.
  52. Elyas Elyasiani & Silvia Muzzioli & Alessio Ruggieri, 2016. "Forecasting and pricing powers of option-implied tree models: Tranquil and volatile market conditions," Department of Economics 0099, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
  53. Neilson, Jed J., 2022. "Investor information gathering and the resolution of uncertainty," Journal of Accounting and Economics, Elsevier, vol. 74(1).
  54. Piccotti, Louis R. & Schreiber, Ben Z., 2015. "Information shares of two parallel currency options markets: Trading costs versus transparency/tradability," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 210-229.
  55. Li, Minqiang, 2008. "Price Deviations of S&P 500 Index Options from the Black-Scholes Formula Follow a Simple Pattern," MPRA Paper 11530, University Library of Munich, Germany.
  56. Vogel, Harold L. & Werner, Richard A., 2015. "An analytical review of volatility metrics for bubbles and crashes," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 15-28.
  57. Moriggia, V. & Muzzioli, S. & Torricelli, C., 2009. "On the no-arbitrage condition in option implied trees," European Journal of Operational Research, Elsevier, vol. 193(1), pages 212-221, February.
  58. Konstantinidi, Eirini & Skiadopoulos, George & Tzagkaraki, Emilia, 2008. "Can the evolution of implied volatility be forecasted? Evidence from European and US implied volatility indices," Journal of Banking & Finance, Elsevier, vol. 32(11), pages 2401-2411, November.
  59. Li, Minqiang, 2008. "Approximate inversion of the Black-Scholes formula using rational functions," European Journal of Operational Research, Elsevier, vol. 185(2), pages 743-759, March.
  60. James Doran & Ehud Ronn, 2005. "The bias in Black-Scholes/Black implied volatility: An analysis of equity and energy markets," Review of Derivatives Research, Springer, vol. 8(3), pages 177-198, December.
  61. Doran, James S. & Ronn, Ehud I., 2008. "Computing the market price of volatility risk in the energy commodity markets," Journal of Banking & Finance, Elsevier, vol. 32(12), pages 2541-2552, December.
  62. Jean-Baptiste Monnier, 2013. "Technical report : Risk-neutral density recovery via spectral analysis," Papers 1302.2567, arXiv.org.
  63. Moll, Cliff R. & Huffman, Stephen P., 2016. "The incremental information content of innovations in implied idiosyncratic volatility," Review of Financial Economics, Elsevier, vol. 30(C), pages 33-44.
  64. Chen, Song Xi & Xu, Zheng, 2014. "On implied volatility for options—Some reasons to smile and more to correct," Journal of Econometrics, Elsevier, vol. 179(1), pages 1-15.
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