• DocumentCode
    3456182
  • Title

    Nonparametric estimation of state-price densities implicit in financial asset prices

  • Author

    Aït-Sahalia, Yacine ; Lo, Andrew W.

  • Author_Institution
    Graduate Sch. of Bus., Chicago Univ., IL, USA
  • fYear
    1995
  • fDate
    9-11 Apr 1995
  • Firstpage
    2
  • Lastpage
    5
  • Abstract
    Implicit in the prices of traded financial assets are Arrow-Debreu state prices or, in the continuous-state case, the state-price density (SPD) that may be used to price all assets, traded or non-traded. Using recently developed techniques in nonparametric analysis, we construct an estimator for the SPD implicit in financial asset prices and we derive an asymptotic sampling theory for this estimator to gauge its accuracy. We perform Monte Carlo simulation experiments to see whether the SPD estimator can be used successfully to price and hedge derivative securities, and we also provide several illustrative empirical examples using both hypothetical and actual options prices on S&P 500 index options
  • Keywords
    Monte Carlo methods; finance; securities trading; statistical analysis; Arrow-Debreu state prices; Monte Carlo simulation; asset pricing; asymptotic sampling theory; continuous-state case; financial asset prices; nonparametric analysis; nonparametric estimation; state-price densities; state-price density; traded financial assets; Asset management; Data security; Estimation theory; Financial management; Kernel; Pricing; Sampling methods; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Financial Engineering, 1995.,Proceedings of the IEEE/IAFE 1995
  • Conference_Location
    New York, NY
  • Print_ISBN
    0-7803-2145-6
  • Type

    conf

  • DOI
    10.1109/CIFER.1995.495227
  • Filename
    495227