We develop an algorithm to price American options on assets that follow the stochastic volatility model defined by Heston. We use an approach which is based on a modification of a combined tree for stock prices and volatilities, where the number of nodes grows quadratically in the number of time steps. We show in a number of numerical tests that we get accurate results in a fast manner, and that features which are essential for the practical use of stock option pricing algorithms, such as the incorporation of cash dividends and a term structure of interest rates, can easily be incorporated
We propose an efficient hybrid tree/finite difference method in order to approximate the Heston mode...
We propose an efficient hybrid tree/finite difference method in order to approximate the Heston mode...
We propose an efficient hybrid tree/finite difference method in order to approximate the Heston mode...
We develop an algorithm to price American options on assets that follow the stochastic volatility mo...
We develop an algorithm to price American options oil assets that follow the stochastic volatility m...
We develop an algorithm to price American options oil assets that follow the stochastic volatility m...
We develop an algorithm to price American options oil assets that follow the stochastic volatility m...
We develop an algorithm to price American options oil assets that follow the stochastic volatility m...
We introduce a refined tree method to compute option prices using the stochastic volatility model of...
We introduce a refined tree method to compute option prices using the stochastic volatility model of...
We present a new tree-based numerical approach for options pricing under Heston\u27s stochastic vola...
Options are an important building block of modern financial markets. The theory underlying their val...
University of Technology Sydney. Faculty of Business.The American option pricing problem lies on the...
textabstractIn this paper we introduce a new methodology to price American put options under stochas...
We propose an efficient hybrid tree/finite difference method in order to approximate the Heston mode...
We propose an efficient hybrid tree/finite difference method in order to approximate the Heston mode...
We propose an efficient hybrid tree/finite difference method in order to approximate the Heston mode...
We propose an efficient hybrid tree/finite difference method in order to approximate the Heston mode...
We develop an algorithm to price American options on assets that follow the stochastic volatility mo...
We develop an algorithm to price American options oil assets that follow the stochastic volatility m...
We develop an algorithm to price American options oil assets that follow the stochastic volatility m...
We develop an algorithm to price American options oil assets that follow the stochastic volatility m...
We develop an algorithm to price American options oil assets that follow the stochastic volatility m...
We introduce a refined tree method to compute option prices using the stochastic volatility model of...
We introduce a refined tree method to compute option prices using the stochastic volatility model of...
We present a new tree-based numerical approach for options pricing under Heston\u27s stochastic vola...
Options are an important building block of modern financial markets. The theory underlying their val...
University of Technology Sydney. Faculty of Business.The American option pricing problem lies on the...
textabstractIn this paper we introduce a new methodology to price American put options under stochas...
We propose an efficient hybrid tree/finite difference method in order to approximate the Heston mode...
We propose an efficient hybrid tree/finite difference method in order to approximate the Heston mode...
We propose an efficient hybrid tree/finite difference method in order to approximate the Heston mode...
We propose an efficient hybrid tree/finite difference method in order to approximate the Heston mode...