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Measuring Implied Volatility Surface Risk using Principal Components Analysis

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Measuring Risk in Complex Stochastic Systems

Part of the book series: Lecture Notes in Statistics ((LNS,volume 147))

Abstract

The Black-Scholes formula Black and Scholes (1973) (BS hereafter) has remained a valuable tool for practitioners in pricing options as well as a precious benchmark for theoreticians. Indeed, the BS option valuation formula is a one-to-one function of the volatility parameter σ once the underlying stock level S t , the strike price K and the remaining time to expiration τ are known and fixed. Using the quoted prices of frequently traded option contracts on the same underlier, one can work out the implied volatility σ by inverting numerically the BS formula. But it is notorious that instead of being constant as assumed by the BS model, implied volatility has a stylized U-shape as it varies across different maturities and strike prices. This pattern called the “smile effect” is the starting point of the implied theories which we concentrate on thereafter.

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Bibliography

  • Avellanda, M. and Zhu, Y. (1997). An E-ARCH model for the term structure of implied volatility of FX options, Applied Mathematical Finance (1): 81–100.

    Google Scholar 

  • Black, F. and Scholes, M. (1973). The pricing of options and corporate liabilities, Journal of Political Economy 81: 637–654.

    Article  Google Scholar 

  • Clewlow, L., Hodges, S. and Skiadopoulos, G. (1998). The dynamics of smile, Technical report, Warwick Business School.

    Google Scholar 

  • Derman, E. (1999). Regimes of volatility, Risk pp. 55–59.

    Google Scholar 

  • Derman, E. and Kani, I. (1994). Riding on a smile, Risk 7(2): 32–39.

    Google Scholar 

  • Derman, E. and Kani, I. (1998). Stochastic implied trees: Arbitrage pricing with stochastic term and strike structure of volatility, International Journal of Theoretical and Applied Finance 1(1): 61–110.

    Article  MATH  Google Scholar 

  • Dumas, B., Fleming, B. and Whaley, W. (1998). Implied volatility functions, Journal of Finance.

    Google Scholar 

  • Dupire, B. (1994). Pricing with a smile, Risk 7(2): 229–263.

    Google Scholar 

  • Golub, B. and Tilman, L. (1997). Measuring yield curve risk using principal component analysis, value at risk, and key rate durations, The Journal of Portfolio Management.

    Google Scholar 

  • Jolliffe, I. (1989). Principal Component Analysis, Series in Statistics, Springer.

    Google Scholar 

  • Ledoit, O. and Santa-Clara, P. (1998). Relative option pricing with stochastic volatility, Technical report, Working papers, UCLA.

    Google Scholar 

  • Miltersen, M., Sandmann, K. and Sondermann, D. (1997). Closed form solutions for term strucutre derivatives with log-normal interest rates, The Journal of Finance 52: 409–430.

    Article  Google Scholar 

  • Schönbucher, P. (1999). A market model for stochastic implied volatility, Technical report, Department of Statistics, Bonn University.

    Google Scholar 

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© 2000 Springer Science+Business Media New York

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Sylla, A., Villa, C. (2000). Measuring Implied Volatility Surface Risk using Principal Components Analysis. In: Franke, J., Stahl, G., Härdle, W. (eds) Measuring Risk in Complex Stochastic Systems. Lecture Notes in Statistics, vol 147. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1214-0_8

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  • DOI: https://doi.org/10.1007/978-1-4612-1214-0_8

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-98996-9

  • Online ISBN: 978-1-4612-1214-0

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