This paper assumes that the underlying asset prices are lognormally distributed, and derives necessary and su cient conditions for the valuation of options using a Black-Scholes type methodology. It is shown that the price of a futures-style, marked-to-market option is given by Black's formula if the pricing kernel is lognormally distributed. Assuming that this condition is ful lled, it is then...

The security dynamics described by the Black-Scholes equation with price-dependent variance can be approximated as a damped discrete-time hopping process on a recombining binomial tree. In a previous working paper, such a nonuniform tree was explicitly constructed in terms of the continuous-time variance. The present note outlines how the previous procedure could be extended to multifactor Blac...

A better understanding of the empirical dynamics of Black-Scholes implied volatility surface has long been of considerable interest to both practitioners and academics. Basing on some findings about the ad hoc Black-Scholes valuation approach suggested in Dumas, Flemming and Whaley (1998), this essay studies the empirical performance of various volatility function forms that characterize the re...

– We show, by studying in detail the market prices of options on liquid markets, that the market has empirically corrected the simple, but inadequate Black-Scholes formula to account for two important statistical features of asset fluctuations: “fat tails” and correlations in the scale of fluctuations. These aspects, although not included in the pricing models, are very precisely reflected in t...

In the original Black-Scholes model, the risk is quantified by a constant volatility parameter. It has been proposed by many authors that the volatilities should be modeled by a stochastic process to obtain a more realistic model. The volatility that corresponds to actual market data for option prices in Black-Scholes model is called the implied volatility. This volatility is in general depende...

This is the first of two papers in which we consider a stock with price process defined by a stochastic differential equation driven by a process Y (·) different from Brownian motion. The adoption of such a colored noise input is motivated by an analysis of real market data. The process Y (·) is defined by a continuous-time AR(∞)-type equation and may have either short or long memory. We show t...

We derive closed-form solutions to the perpetual American standard and floating-strike lookback put call options in an extension of Black--Merton--Scholes model with event risk asymmetric information. It is assumed that contracts are terminated by their writers linear or fractional recoveries at last hitting times for underlying asset price process its ultimate maximum minimum over infinite tim...

In this paper, a proposed computational method referred to as Projected Differential Transformation Method (PDTM) resulting from the modification of the classical Differential Transformation Method (DTM) is applied, for the first time, to the Black–Scholes Equation for European Option Valuation. The results obtained converge faster to their associated exact solution form; these easily computed ...

Abstract This paper proposes a novel feature weighting approach based on derivative saliency analysis, which can specifically display to what extent the output of support vector regression machines varies with the features (i.e. the components of the input vector). The empirical analysis of its application to option pricing demonstrates that the methodology proposed enables relevant features to...

Options have provided a field of much study because of the complexity involved in pricing them. The Black-Scholes equations were developed to price options but they are only valid for European styled options. There is added complexity when trying to price American styled options and this is why the use of neural networks has been proposed. Neural Networks are able to predict outcomes based on p...