In this paper, we propose a new stochastic simulation-based methodology for pricing discretely-monitored double barrier options and estimating the corresponding probabilities of execution. We develop our framework by employing a versatile tool for the estimation of rare event probabilities known...

This paper demonstrates how to value American interest rate options under the jump extended constant-elasticity-of-variance (CEV) models. We consider both exponential jumps (see Duffie, Pan, and Singleton (2000)) and lognormal jumps (see Johannes (2004)) in the short rate process. We show how to...

In this paper we develop a Monte-Carlo method to price instruments with discontinuous payoffs and non-smooth trigger functions which allows for a stable computation of Greeks via finite differences. The method extends the idea of smoothing the payoff as in Glasserman's book on Monte-Carlo...

Monte Carlo simulation or probability simulation is a technique used to understand the impact of risk and uncertainty in financial and other forecasting models. It is very useful when complex financial instruments need to be priced. Exotic options are listed on the JSE on its Can-Do platform....

This report provides an overview of the utility of single stock and custom basket options in fund management. It is shown that managers of active equity funds can limit possible negative return contributions of their over - and underweight positions via single stock options and thus help to...

The Black-Scholes framework implies a constant volatility across term and strike, and a lognormal distribution for underlying asset prices. However, it is known that empirical data violates this assumption. In this report we describe, motivate and apply a model-independent,...

This paper proposes the use of analytical approximations to price an heterogeneous basket option combining commodity prices, foreign currencies and zero-coupon bonds. We examine the performance of three moment matching approximations: inverse gamma, Edgeworth expansion around the lognormal and...

Gulisashvili et al. [Quant. Finance, 2018, 18(10), 1753-1765] provide a small-time asymptotics for the mass at zero under the uncorrelated stochastic-alpha-beta-rho (SABR) model by approximating the integrated variance with a moment-matched lognormal distribution. We improve the accuracy of the...

In [2], and [13], financial models based on the Wick product, and White Noise formalism are suggested. Although the original purpose is to incorporate integrals with respect to fractional Brownian motion, it is also pointed out in these articles, that this leads naturally to a quantum mechanical...

This paper develops a fast and numerically efficient method for pricing options, particularly with early exercise features, with state of the art simulation and regression based methods. Assuming nothing but homogeneity of the option price, a property satisfied by most option pricing models, and...