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Option Pricing Revisited: The Role of Price Volatility and Dynamics

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  • Chavas, Jean-Paul
  • Li, Jian
  • Wang, Linjie

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  • Chavas, Jean-Paul & Li, Jian & Wang, Linjie, 2024. "Option Pricing Revisited: The Role of Price Volatility and Dynamics," 2024 Annual Meeting, July 28-30, New Orleans, LA 343544, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea22:343544
    DOI: 10.22004/ag.econ.343544
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    as
    1. Shu-Ling Chen & John D. Jackson & Hyeongwoo Kim & Pramesti Resiandini, 2014. "What Drives Commodity Prices?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(5), pages 1455-1468.
    2. Robert J. Shiller, 2015. "Irrational Exuberance," Economics Books, Princeton University Press, edition 3, number 10421.
    3. Whaley, Robert E, 1986. "Valuation of American Futures Options: Theory and Empirical Tests," Journal of Finance, American Finance Association, vol. 41(1), pages 127-150, March.
    4. Schwert, G. William, 2003. "Anomalies and market efficiency," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 15, pages 939-974, Elsevier.
    5. Baruník, Jozef & Čech, František, 2021. "Measurement of common risks in tails: A panel quantile regression model for financial returns," Journal of Financial Markets, Elsevier, vol. 52(C).
    6. Markus K. Brunnermeier & Lasse Heje Pedersen, 2009. "Market Liquidity and Funding Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 22(6), pages 2201-2238, June.
    7. In Joon Kim & Sol Kim, 2005. "Is it important to consider the jump component for pricing and hedging short‐term options?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 25(10), pages 989-1009, October.
    8. Jinji Hao & Jin E. Zhang, 2013. "GARCH Option Pricing Models, the CBOE VIX, and Variance Risk Premium," Journal of Financial Econometrics, Oxford University Press, vol. 11(3), pages 556-580, June.
    9. Hasbrouck, Joel, 1993. "Assessing the Quality of a Security Market: A New Approach to Transaction-Cost Measurement," The Review of Financial Studies, Society for Financial Studies, vol. 6(1), pages 191-212.
    10. David S. Bates, 2022. "Empirical Option Pricing Models," Annual Review of Financial Economics, Annual Reviews, vol. 14(1), pages 369-389, November.
    11. Cars Hommes & Anita Kopányi-Peuker & Joep Sonnemans, 2021. "Bubbles, crashes and information contagion in large-group asset market experiments," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 414-433, June.
    12. Peter Christoffersen & Bruno Feunou & Yoontae Jeon & Chayawat Ornthanalai, 2021. "Time-Varying Crash Risk Embedded in Index Options: The Role of Stock Market Liquidity [Does realized skewness predict the cross-section of equity returns?]," Review of Finance, European Finance Association, vol. 25(4), pages 1261-1298.
    13. Robert C. Merton, 2005. "Theory of rational option pricing," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 8, pages 229-288, World Scientific Publishing Co. Pte. Ltd..
    14. Giovanni Barone Adesi & Robert F. Engle & Loriano Mancini, 2014. "A GARCH Option Pricing Model with Filtered Historical Simulation," Palgrave Macmillan Books, in: Giovanni Barone Adesi (ed.), Simulating Security Returns: A Filtered Historical Simulation Approach, chapter 4, pages 66-108, Palgrave Macmillan.
    15. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    16. Jian Li & Jean-Paul Chavas & Xiaoli L. Etienne & Chongguang Li, 2017. "Commodity price bubbles and macroeconomics: evidence from the Chinese agricultural markets," Agricultural Economics, International Association of Agricultural Economists, vol. 48(6), pages 755-768, November.
    17. Hull, John C & White, Alan D, 1987. "The Pricing of Options on Assets with Stochastic Volatilities," Journal of Finance, American Finance Association, vol. 42(2), pages 281-300, June.
    18. Koenker, Roger & Xiao, Zhijie, 2006. "Quantile Autoregression," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 980-990, September.
    19. Xinyue He & Teresa Serra, 2022. "Are price limits cooling off agricultural futures markets?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(5), pages 1724-1746, October.
    20. Peter Fortune, 1996. "Anomalies in option pricing: the Black-Scholes model revisited," New England Economic Review, Federal Reserve Bank of Boston, issue Mar, pages 17-40.
    21. Jensen, Mads Vestergaard & Pedersen, Lasse Heje, 2016. "Early option exercise: Never say never," Journal of Financial Economics, Elsevier, vol. 121(2), pages 278-299.
    22. Isengildina-Massa, Olga & Irwin, Scott H. & Good, Darrel L., 2010. "Quantile Regression Estimates of Confidence Intervals for WASDE Price Forecasts," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(3), pages 1-23, December.
    23. Heston, Steven L & Nandi, Saikat, 2000. "A Closed-Form GARCH Option Valuation Model," The Review of Financial Studies, Society for Financial Studies, vol. 13(3), pages 585-625.
    24. Christoffersen, Peter & Jacobs, Kris & Ornthanalai, Chayawat, 2012. "Dynamic jump intensities and risk premiums: Evidence from S&P500 returns and options," Journal of Financial Economics, Elsevier, vol. 106(3), pages 447-472.
    25. Bige Kahraman & Heather Tookes, 2020. "Margin Trading and Comovement During Crises [Connected stocks]," Review of Finance, European Finance Association, vol. 24(4), pages 813-846.
    26. Peter H. Gruber & Claudio Tebaldi & Fabio Trojani, 2021. "The Price of the Smile and Variance Risk Premia," Management Science, INFORMS, vol. 67(7), pages 4056-4074, July.
    27. Stuart D. Frank & Scott H. Irwin & George H. Pfeiffer & Charles E. Curtis, 1989. "Further Evidence on Soybean Marketing Strategies: The Role of Options," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 11(2), pages 213-219.
    28. Robert F. Stambaugh & Jianfeng Yu & Yu Yuan, 2015. "Arbitrage Asymmetry and the Idiosyncratic Volatility Puzzle," Journal of Finance, American Finance Association, vol. 70(5), pages 1903-1948, October.
    29. Nicholas Barberis & Lawrence J. Jin & Baolian Wang, 2021. "Prospect Theory and Stock Market Anomalies," Journal of Finance, American Finance Association, vol. 76(5), pages 2639-2687, October.
    30. Dabin Wang & William G. Tomek, 2007. "Commodity Prices and Unit Root Tests," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(4), pages 873-889.
    31. Sushil Bikhchandani & Sunil Sharma, 2001. "Herd Behavior in Financial Markets," IMF Staff Papers, Palgrave Macmillan, vol. 47(3), pages 1-1.
    32. Christoffersen, Peter & Heston, Steve & Jacobs, Kris, 2006. "Option valuation with conditional skewness," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 253-284.
    33. Ornthanalai, Chayawat, 2014. "Lévy jump risk: Evidence from options and returns," Journal of Financial Economics, Elsevier, vol. 112(1), pages 69-90.
    34. Jian Li & Jean‐Paul Chavas, 2023. "A dynamic analysis of the distribution of commodity futures and spot prices," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(1), pages 122-143, January.
    35. Georges Dionne, 2013. "Risk Management: History, Definition, and Critique," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 16(2), pages 147-166, September.
    36. Roger Koenker & Zhijie Xiao, 2004. "Unit Root Quantile Autoregression Inference," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 775-787, January.
    37. Jeff Fleming & Chris Kirby & Barbara Ostdiek, 2006. "Stochastic Volatility, Trading Volume, and the Daily Flow of Information," The Journal of Business, University of Chicago Press, vol. 79(3), pages 1551-1590, May.
    38. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2018. "Extrapolation and bubbles," Journal of Financial Economics, Elsevier, vol. 129(2), pages 203-227.
    39. Jondeau, Eric & Rockinger, Michael, 2003. "Conditional volatility, skewness, and kurtosis: existence, persistence, and comovements," Journal of Economic Dynamics and Control, Elsevier, vol. 27(10), pages 1699-1737, August.
    40. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    41. Andrew M. McKenzie & Michael R. Thomsen & Michael K. Adjemian, 2022. "Characterizing implied volatility functions from agricultural options markets," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(5), pages 1605-1624, October.
    42. Urcola, Hernan A. & Irwin, Scott H., 2011. "Are Agricultural Options Overpriced?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(1), pages 1-15, April.
    43. Oleg Rytchkov, 2014. "Asset Pricing with Dynamic Margin Constraints," Journal of Finance, American Finance Association, vol. 69(1), pages 405-452, February.
    44. repec:bla:jfinan:v:59:y:2004:i:2:p:755-793 is not listed on IDEAS
    45. George A. Akerlof & Robert J. Shiller, 2010. "Animal Spirits: How Human Psychology Drives the Economy, and Why It Matters for Global Capitalism," Economics Books, Princeton University Press, edition 1, number 9163.
    46. Irwin, Scott H. & Pelly, Robert A. & Zulauf, Carl R., 1989. "An Investigation of Pricing Models for Live Cattle and Feeder Cattle Options," Staff Papers 232393, Virginia Polytechnic Institute and State University, Department of Agricultural and Applied Economics.
    47. Bakshi, Gurdip & Cao, Charles & Chen, Zhiwu, 1997. "Empirical Performance of Alternative Option Pricing Models," Journal of Finance, American Finance Association, vol. 52(5), pages 2003-2049, December.
    48. Etienne, Xiaoli L. & Irwin, Scott H. & Garcia, Philip, 2014. "Bubbles in food commodity markets: Four decades of evidence," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 129-155.
    49. Filip Žikeš & Jozef Baruník, 2015. "Semi-parametric Conditional Quantile Models for Financial Returns and Realized Volatility," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 14(1), pages 185-226.
    50. 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.
    51. Chowdhry, Bhagwan & Nanda, Vikram, 1998. "Leverage and Market Stability: The Role of Margin Rules and Price Limits," The Journal of Business, University of Chicago Press, vol. 71(2), pages 179-210, April.
    52. Luciano Gutierrez, 2013. "Speculative bubbles in agricultural commodity markets-super- †," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 40(2), pages 217-238, March.
    53. Bates, David S., 2003. "Empirical option pricing: a retrospection," Journal of Econometrics, Elsevier, vol. 116(1-2), pages 387-404.
    54. Jin‐Chuan Duan, 1995. "The Garch Option Pricing Model," Mathematical Finance, Wiley Blackwell, vol. 5(1), pages 13-32, January.
    55. MacBeth, James D & Merville, Larry J, 1979. "An Empirical Examination of the Black-Scholes Call Option Pricing Model," Journal of Finance, American Finance Association, vol. 34(5), pages 1173-1186, December.
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