
Antonie Kotzé
University of Johannesburg, South Africa, Faculty of Economic and Financial Sciences, Senior research associate
Antonie is an independent derivatives pricing, valuation and model validation expert and financial engineer. His expertise includes all financial derivatives (OTC and on exchange): FX, swaps, commodities, credit and employee share incentive schemes. Antonie holds a Ph.D. in Theoretical/Mathematical Physics from the University of the Witwatersrand (South Africa) where Quantum Chaos Theory was his field of interest. With more than 20 years’ experience as a quantitative analyst in the South African and African financial and derivatives market. Antonie is a former Rand Afrikaans University (currently University of Johannesburg) faculty member but is still associated via his research interests. He is still an active academic researcher and has published some cutting-edge research in international peer-reviewed journals. He has BCBS (Basel) and IFRS 9 credit risk experience.
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The use of finite difference methods for solving PDEs on a computer goes back almost to the 1950s since its invention. In finance, these methods were introduced in the 1970’s after the derivation of the Black-Scholes model. The sophistication of these methods in finance has become a field of extensive research. These include alternating finite difference (ADI) methods (Hout & Foulon, 2010), adaptive grids (Persson & Sydow, 2010), grids stretching (Oosterlee et al., 2005) and compact finite differences (Tangman et al., 2008), to name but a few. The interested reader is referred to two important textbooks (Daniel J, 2006), (Tavella & Randall, 2000) in the literature that cover financial derivatives pricing with finite difference methods exclusively.
This document provides a base for the valuation methods used in the Can-Do product space. Thus, we will not re-document already well-documented models and methodologies. This document will rather focus on the application of these methods to the JSE Can-Do products.