Tools from Stochastic Analysis for Mathematical Finance: A Gentle Introduction

The idea of this document is to provide the reader with an intuitive, yet rigorous and comprehensive introduction to the main tools in stochastic analysis required in Finance to understand the modern modelling, pricing and hedging techniques. The most important models (Brownian motion, arithmetic and geometric Brownian motion, mean-reverting models, stochastic and jump processes) are considered and their properties illustrated with the help of Matlab codes and videos. We would like to emphasize that this document is very much work in progress and we would like to encourage readers to get in touch with us with feedback, comments, suggestions for additions and, of course, corrections of typos. All of these will be gratefully acknowledged in the future releases of this document.

[1]  P. Carr,et al.  Leverage Effect, Volatility Feedback, and Self-Exciting Market Disruptions , 2011, Journal of Financial and Quantitative Analysis.

[2]  M. Yor,et al.  Mathematical Methods for Financial Markets , 2009 .

[3]  D. Dijk,et al.  A comparison of biased simulation schemes for stochastic volatility models , 2008 .

[4]  Jean-Charles Rochet,et al.  CHANGES OF NUMERAIRE, CHANGES OF PROBABILITY MEASURE , 1995 .

[5]  S. Ross,et al.  The valuation of options for alternative stochastic processes , 1976 .

[6]  P. Carr,et al.  Stochastic Skew in Currency Options , 2004 .

[7]  Philipp Nadel Implementing Models In Quantitative Finance Methods And Cases , 2016 .

[8]  S. Heston A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options , 1993 .

[9]  P. Carr,et al.  The Variance Gamma Process and Option Pricing , 1998 .

[10]  David C. Emanuel,et al.  Further Results on the Constant Elasticity of Variance Call Option Pricing Model , 1982, Journal of Financial and Quantitative Analysis.

[11]  R. C. Merton,et al.  Option pricing when underlying stock returns are discontinuous , 1976 .

[12]  Daniel B. Nelson,et al.  Simple Binomial Processes as Diffusion Approximations in Financial Models , 1990 .

[13]  M. Yor,et al.  Stochastic Volatility for Lévy Processes , 2003 .

[14]  E. Seneta,et al.  The Variance Gamma (V.G.) Model for Share Market Returns , 1990 .

[15]  Y. Maghsoodi SOLUTION OF THE EXTENDED CIR TERM STRUCTURE AND BOND OPTION VALUATION , 1996 .

[16]  S. Shreve Stochastic calculus for finance , 2004 .

[17]  M. Yor,et al.  A survey and some generalizations of Bessel processes , 2003 .

[18]  M. Rubinstein.,et al.  Recovering Probability Distributions from Option Prices , 1996 .

[19]  Liuren Wu,et al.  Specification Analysis of Option Pricing Models Based on Time-Changed Levy Processes , 2003 .

[20]  O. Barndorff-Nielsen Normal Inverse Gaussian Distributions and , 1997 .

[21]  D. Brigo,et al.  Interest Rate Models , 2001 .

[22]  M. Yor,et al.  The Fine Structure of Asset Retums : An Empirical Investigation ' , 2006 .

[23]  Gianluca Fusai,et al.  Analytical pricing of discretely monitored Asian-style options: Theory and application to commodity markets , 2008 .

[24]  Mark Schroder Computing the Constant Elasticity of Variance Option Pricing Formula , 1989 .

[25]  Steven Kou,et al.  A Jump Diffusion Model for Option Pricing , 2001, Manag. Sci..

[26]  P. Carr,et al.  Time-Changed Levy Processes and Option Pricing ⁄ , 2002 .

[27]  R. Sundaram,et al.  Of Smiles and Smirks: A Term Structure Perspective , 1998, Journal of Financial and Quantitative Analysis.