Skip to main content

Moving Least Squares for Arbitrage-Free Price and Volatility Surfaces

  • Conference paper
  • First Online:
Topics in Numerical Methods for Finance

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 19))

  • 1721 Accesses

Abstract

To price exotic options consistently to market data, it is necessary to approximate the implied volatility surface (IVS) over the strike–maturity plane. To avoid mis-pricing and arbitrage strategies, the approximation must be arbitrage free. Based on the moving least squares (MLS) reconstruction, a numerical approach is presented in this paper to compute arbitrage-free surfaces which approximate observed market data.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Brunner, B., Hafner, R.: Arbitrage-free estimation of the risk-neutral density from the implied volatility smile. J. Comput. Finance 7(1), 75–106 (2003)

    Google Scholar 

  2. Bertsimas, D., Popescu, I.: On the relation between option and stock prices: a convex optimization approach. Oper. Res. 50(2), 358–374 (2000)

    Article  MathSciNet  Google Scholar 

  3. Fengler, M.R.: Arbitrage-free smoothing of the implied volatility surface. Quant. Finance 9(4), 417–428 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  4. Glaser, J., Heider, P.: Arbitrage-free approximation of call price surfaces and input data risk. Quantitative Finance, 12(1), 61–73 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  5. Kahalé, N.: An arbitrage-free interpolation of volatilities. Risk 17, 102–106 (2004)

    Google Scholar 

  6. Levin, D.: The approximation power of moving least-squares. Math. Comput. 67(224), 1517–1531 (1998)

    Article  MATH  Google Scholar 

  7. Lancaster, P., Salkauskas, K.: Surfaces generated by moving least squares methods. Math. Comput. 37(155), 141–158 (1981)

    Article  MathSciNet  MATH  Google Scholar 

  8. Reiner, E.: Calendar spreads, characteristic functions, and variance interpolation. Mimeo (2000)

    Google Scholar 

  9. Wendland, H.: Scattered Data Approximation. Cambridge University Press, Cambridge (2005)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pascal Heider .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media New York

About this paper

Cite this paper

Heider, P. (2012). Moving Least Squares for Arbitrage-Free Price and Volatility Surfaces. In: Cummins, M., Murphy, F., Miller, J. (eds) Topics in Numerical Methods for Finance. Springer Proceedings in Mathematics & Statistics, vol 19. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-3433-7_2

Download citation

Publish with us

Policies and ethics