European Option Pricing by Using the Support Vector Regression Approach
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Panayiotis Ch. Andreou | Chris Charalambous | Spiros H. Martzoukos | C. Charalambous | P. Andreou | S. Martzoukos
[1] David S. Bates. Post-'87 crash fears in the S&P 500 futures option market , 2000 .
[2] Johan A. K. Suykens,et al. Least Squares Support Vector Machines , 2002 .
[3] J. Jackwerth. Recovering Risk Aversion from Option Prices and Realized Returns , 1998 .
[4] Georg Dorffner,et al. Risk-neutral density extraction from option prices: improved pricing with mixture density networks , 2001, IEEE Trans. Neural Networks.
[5] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[6] N. J. Johnson,et al. Modified t Tests and Confidence Intervals for Asymmetrical Populations , 1978 .
[7] Johan A. K. Suykens,et al. Financial time series prediction using least squares support vector machines within the evidence framework , 2001, IEEE Trans. Neural Networks.
[8] Gurdip Bakshi,et al. Empirical Performance of Alternative Option Pricing Models , 1997 .
[9] R. Gencay,et al. Pricing and Hedging Derivative Securities with Neural Networks and a Homogeneity Hint , 2000 .
[10] Gunnar Rätsch,et al. Using support vector machines for time series prediction , 1999 .
[11] Panayiotis Ch. Andreou,et al. Pricing and trading European options by combining artificial neural networks and parametric models with implied parameters , 2008, Eur. J. Oper. Res..
[12] M. Rubinstein.. Implied Binomial Trees , 1994 .
[13] A. Lo,et al. Nonparametric Estimation of State‐Price Densities Implicit in Financial Asset Prices , 1998 .
[14] R. Whaley. Valuation of American call options on dividend-paying stocks: Empirical tests , 1982 .
[15] F. Black,et al. The Pricing of Options and Corporate Liabilities , 1973, Journal of Political Economy.
[16] E. Ghysels,et al. A study towards a unified approach to the joint estimation of objective and risk neutral measures for the purpose of options valuation , 2000 .
[17] Peter Christoffersen,et al. Série Scientifique Scientific Series the Importance of the Loss Function in Option Valuation the Importance of the Loss Function in Option Valuation , 2022 .
[18] Francis Eng Hock Tay,et al. Support vector machine with adaptive parameters in financial time series forecasting , 2003, IEEE Trans. Neural Networks.
[19] B. Dumas,et al. Implied volatility functions: empirical tests , 1996, IEEE Conference on Computational Intelligence for Financial Engineering & Economics.
[20] Bernhard Schölkopf,et al. A tutorial on support vector regression , 2004, Stat. Comput..
[21] Paul Lajbcygier,et al. Improving option pricing with the product constrained hybrid neural network , 2004, IEEE Transactions on Neural Networks.