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- Wiley
More About This Title Mathematics of the Financial Markets - FinancialInstruments and Derivatives Modeling, Valuationand Risk Issues
English
The book aims to prioritise what needs mastering and presents the content in the most understandable, concise and pedagogical way illustrated by real market examples. Given the variety and the complexity of the materials the book covers, the author sorts through a vast array of topics in a subjective way, relying upon more than twenty years of experience as a market practitioner. The book only requires the reader to be knowledgeable in the basics of algebra and statistics.
The Mathematical formulae are only fully proven when the proof brings some useful insight. These formulae are translated from algebra into plain English to aid understanding as the vast majority of practitioners involved in the financial markets are not required to compute or calculate prices or sensitivities themselves as they have access to data providers. Thus, the intention of this book is for the practitioner to gain a deeper understanding of these calculations, both for a safety reason – it is better to understand what is behind the data we manipulate – and secondly being able to appreciate the magnitude of the prices we are confronted with and being able to draft a rough calculation, aside of the market data.
The author has avoided excessive formalism where possible. Formalism is securing the outputs of research, but may, in other circumstances, burden the understanding by non-mathematicians; an example of this case is in the chapter dedicated to the basis of stochastic calculus.
The book is divided into two parts:
- First, the deterministic world, starting from the yield curve building and related calculations (spot rates, forward rates, discrete versus continuous compounding, etc.), and continuing with spot instruments valuation (short term rates, bonds, currencies and stocks) and forward instruments valuation (forward forex, FRAs and variants, swaps & futures);
- Second, the probabilistic world, starting with the basis of stochastic calculus and the alternative approach of ARMA to GARCH, and continuing with derivative pricing: options, second generation options, volatility, credit derivatives;
- This second part is completed by a chapter dedicated to market performance & risk measures, and a chapter widening the scope of quantitative models beyond the Gaussian hypothesis and evidencing the potential troubles linked to derivative pricing models.
English
Alain Ruttiens (Paris, France) is an Affiliate Professor at ESCP Europe Paris campus, where he teaches Mathematics of the Financial Markets. He holds a Masters Degree in Chemical Engineering (Faculté Polytechnique de Mons, Belgium), with a further degree in Operational Research (FUCAM, Mons, Belgium). The bulk of his career has been spent in the banking sector (Banque Indosuez, then KBC Bank), mainly in trading, research and development related to financial derivative instruments. He was the founder and asset manager of a hedge fund, and works as a Partner of NEURON sarl, active in consulting on financial markets, in Luxembourg. He lectures at Sorbonne university, HEC and Sciences-Po Paris, and is a Professor at Centro di Studi Bancari, Lugano (Switzerland) and at ESA (Ecole Supérieure des Affaires), Beyrouth (Lebanon).? He is an IAG Fellow of the University of Louvain, Belgium, and an active member of the Decision Sciences Institute (Atlanta, USA).
English
Foreword by A.G. MALLIARIS, Loyola University, Chicago xi
Main Notations xiii
Introduction xv
PART I THE DETERMINISTIC ENVIRONMENT
1 Prior to the Yield Curve: Spot and Forward Rates 3
2 The Term Structure or Yield Curve 13
3 Spot Instruments 23
4 Equities and Stock Indexes 47
5 Forward Instruments 75
6 Swaps 91
7 Futures 119
PART II THE PROBABILISTIC ENVIRONMENT
8 The Basis of Stochastic Calculus 147
9 Other Financial Models: From ARMA to the GARCH Family 165
10 Option Pricing in General 175
11 Options on Specific Underlyings and Exotic Options 209
12 Volatility and Volatility Derivatives 237
13 Credit Derivatives 257
14 Market Performance and Risk Measures 275
15 Beyond the Gaussian Hypothesis: Potential Troubles with Derivatives Valuation 303
Bibliography 319
Index 323
