Maximum entropy distributions inferred from option portfolios on an asset

被引:0
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作者
Cassio Neri
Lorenz Schneider
机构
[1] Lloyds Banking Group,FX Quantitative Research
[2] EMLYON Business School,Center for Financial Risks Analysis (CEFRA)
来源
Finance and Stochastics | 2012年 / 16卷
关键词
Entropy; Information theory; -divergence; Asset distribution; Option pricing; Volatility smile; 91B24; 91B28; 91B70; 94A17; C16; C63; G13;
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摘要
We obtain the maximum entropy distribution for an asset from call and digital option prices. A rigorous mathematical proof of its existence and exponential form is given, which can also be applied to legitimise a formal derivation by Buchen and Kelly (J. Financ. Quant. Anal. 31:143–159, 1996). We give a simple and robust algorithm for our method and compare our results to theirs. We present numerical results which show that our approach implies very realistic volatility surfaces even when calibrating only to at-the-money options. Finally, we apply our approach to options on the S&P 500 index.
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页码:293 / 318
页数:25
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