A set of stock option pricing models are im-plemented on the Connection Machine-2 and the DECmpp-12000 to compare model prices and histor-ical market data. Improved models, which incorporate stochastic volatility with American call generally have smaller pricing errors than simpler models which are based on constant volatility and European call. In a re-nement of the comparison between model and market prices, a gure of merit based on the bid/ask spread in the market, and the use of optimization techniques for model parameter estimation, are evaluated. Opti-mization appears to hold great promise for improving the accuracy of existing pricing models, especially for stocks which are dicult to price with conventional models.
Investment behaviour, techniques and choices have evolved in the options markets since the launch of...
The purpose of this thesis is to compare the pricing power of two different option pricing models on...
In this paper, we consider joint estimation of objective and risk-neutral parameters for stochastic ...
A set of stock option pricing models are implemented on the Connection Machine-2 and the DECmpp-1200...
This paper attempts to study and explore the most commonly used option pricing models. As we will se...
Substantial progress has been made in developing more realistic option pricing models. Empirically, ...
G14, G15, C61, C22 Working Papers contain preliminary research results. Please consider this when ci...
Countless option pricing models have been developed to estimate the behavior of stock markets. By in...
Derivatives have a large and significant role on the financial markets today and the popularity of o...
The objective of this article is to evaluate the performance of the option pricing model at the cros...
The purpose of this research is to apply stochastic modeling methods to determine the prices of stoc...
Investment behaviour, techniques and choices have evolved in the options markets since the launch of...
The Black-Scholes formula is a recognized model for pricing and hedging derivative securities. It re...
Since the formulation by Black, Scholes, and Merton in 1973 of the first rational option pricing for...
The objective of this article is to evaluate the performance of the option pricing model at the cros...
Investment behaviour, techniques and choices have evolved in the options markets since the launch of...
The purpose of this thesis is to compare the pricing power of two different option pricing models on...
In this paper, we consider joint estimation of objective and risk-neutral parameters for stochastic ...
A set of stock option pricing models are implemented on the Connection Machine-2 and the DECmpp-1200...
This paper attempts to study and explore the most commonly used option pricing models. As we will se...
Substantial progress has been made in developing more realistic option pricing models. Empirically, ...
G14, G15, C61, C22 Working Papers contain preliminary research results. Please consider this when ci...
Countless option pricing models have been developed to estimate the behavior of stock markets. By in...
Derivatives have a large and significant role on the financial markets today and the popularity of o...
The objective of this article is to evaluate the performance of the option pricing model at the cros...
The purpose of this research is to apply stochastic modeling methods to determine the prices of stoc...
Investment behaviour, techniques and choices have evolved in the options markets since the launch of...
The Black-Scholes formula is a recognized model for pricing and hedging derivative securities. It re...
Since the formulation by Black, Scholes, and Merton in 1973 of the first rational option pricing for...
The objective of this article is to evaluate the performance of the option pricing model at the cros...
Investment behaviour, techniques and choices have evolved in the options markets since the launch of...
The purpose of this thesis is to compare the pricing power of two different option pricing models on...
In this paper, we consider joint estimation of objective and risk-neutral parameters for stochastic ...