We show how finance markets can be modeled empirically faithfully by using scaling solutions for Markov processes. Classes of exact scaling solutions are presented. We then show that our generalization of the Black-Scholes partial differential equation (pde) for nontrivial diffusion coefficients is equivalent to a Martingale in the risk neutral discounted stock price. Previously, this was proven for the case of the Gaussian logarithmic returns model by Harrison and Kreps, but we prove it for much a much larger class of returns models where the diffusion coefficient depends on both returns x and time t. That option prices blow up if fat tails in logarithmic returns x are included in the market dynamics is also explained
We propose a modification of the option pricing framework derived by Borland which removes the poss...
We consider the pricing of options when the dynamics of the risky underlying asset are driven by a M...
Abstract: We provide a characterization of the Gaussian processes with stationary increments that ca...
We show that our earlier generalization of the Black-Scholes partial differential equation (pde) for...
First, classes of Markov processes that scale exactly with a Hurst exponent H are derived in closed ...
A traditional model for financial asset prices is that of a solution of a stochastic differential eq...
The Black-Scholes theory of option pricing has been considered for many years as an important but v...
This paper is an introduction and survey of Black-Scholes Model as a complete model for Option Valua...
To improve the empirical performance of the Black-Scholes model, many alternative models have been p...
This dissertation studies option pricing, portfolio selection, and risk management assuming exponent...
This paper reports several entirely new results on financial market dynamics and option pricing We o...
The dissertation is a collection of four papers. The papers utilize the common technique of modeling...
This paper reports several entirely new results on financial market dynamics and option pricing We o...
We consider a financial market where the asset prices are driven by a multidimensional Brownian moti...
We propose a modification of the option pricing framework derived by Borland which removes the possi...
We propose a modification of the option pricing framework derived by Borland which removes the poss...
We consider the pricing of options when the dynamics of the risky underlying asset are driven by a M...
Abstract: We provide a characterization of the Gaussian processes with stationary increments that ca...
We show that our earlier generalization of the Black-Scholes partial differential equation (pde) for...
First, classes of Markov processes that scale exactly with a Hurst exponent H are derived in closed ...
A traditional model for financial asset prices is that of a solution of a stochastic differential eq...
The Black-Scholes theory of option pricing has been considered for many years as an important but v...
This paper is an introduction and survey of Black-Scholes Model as a complete model for Option Valua...
To improve the empirical performance of the Black-Scholes model, many alternative models have been p...
This dissertation studies option pricing, portfolio selection, and risk management assuming exponent...
This paper reports several entirely new results on financial market dynamics and option pricing We o...
The dissertation is a collection of four papers. The papers utilize the common technique of modeling...
This paper reports several entirely new results on financial market dynamics and option pricing We o...
We consider a financial market where the asset prices are driven by a multidimensional Brownian moti...
We propose a modification of the option pricing framework derived by Borland which removes the possi...
We propose a modification of the option pricing framework derived by Borland which removes the poss...
We consider the pricing of options when the dynamics of the risky underlying asset are driven by a M...
Abstract: We provide a characterization of the Gaussian processes with stationary increments that ca...