Abstract
This paper studies the implied volatilities of the S &P 100 from the prices of the American put options written on the same index. The computations are based on a recursive Binomial algorithm with prescribed error tolerance. The results show that the volatility smile exists, thus the classic Black-Scholes’s approach of using a constant volatility for pricing options with different trading conditions is not plausible. The method discussed in this work contrasts the likelihood ratio method contained in [6]. Further studies with expanded data set are recommended for comparing the effectiveness of these two methods in forecasting stock market shocks.
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References
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Zheng, J., Zhang, N., Xie, D. (2013). Implied Volatilities of S&P 100 Index with Applications to Financial Market. In: Park, J.J.(.H., Arabnia, H.R., Kim, C., Shi, W., Gil, JM. (eds) Grid and Pervasive Computing. GPC 2013. Lecture Notes in Computer Science, vol 7861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38027-3_75
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DOI: https://doi.org/10.1007/978-3-642-38027-3_75
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38026-6
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