Simulation-based Estimation of Contingent-claims Prices1

Simulation-based Estimation of Contingent-claims Prices

A new methodology is proposed to estimate theortical prices of financial contingent-claims whose values are dependent on some other underlying financial assets. In the literature the preferred choice of estimator is usually maximum likelihood (ML). ML has strong asymptotic justification but is not necessarily the best method in finite samples. The present paper proposes instead a simulation-bas...

Simulation-based Estimation of Contingent-claims Prices By

Empirical Evaluation of Asset Pricing Models: Arbitrage and Pricing Errors in Contingent Claims

Hansen and Jagannathan (1997) have developed two measures of pricing errors for asset pricing models: the maximum pricing error in all static portfolios of the test assets and the maximum pricing error in all contingent claims of the assets. In this paper, we develop simulation-based Bayesian inference for these measures. While the literature reports that the time-varying extensions substantial...

Semiparametric pricing of multivariate contingent claims

This paper develops and implements a methodology for pricing multivariate contingent claims (MVCC's) based on semiparametric estimation of the multivariate risk-neutral density function. This methodology generates MVCC prices which are consistent with current market prices of univariate contingent claims. This method allows for completely general marginal risk-neutral densities and is compatibl...

Hedging Options under Transaction Costs and Stochastic Volatility

In this paper we consider the problem of hedging contingent claims on a stock under transaction costs and stochastic volatility. Extensive research has clearly demonstrated that the volatility of most stocks is not constant over time. As small changes of the volatility can have a major impact on the value of contingent claims, hedging strategies should try to eliminate this volatility risk. We ...