Mathematical finance plays a vital role in many fields within finance and provides the theories and tools that have been widely used in all areas of finance.

This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning.

This book presents an ethical theory for financial transactions that underpins the stability of modern economies.

This self-contained volume brings together a collection of chapters by some of the most distinguished researchers and practitioners in the field of mathematical finance and financial engineering.

This collection of essays is based on lectures given at the "Académie des Sciences" in Paris by internationally renowned experts in mathematical finance.

To make use of these data, the powerful methods in this book, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered.

Rigorous in style, yet easy to use, this comprehensive textbook offers a systematic, self-sufficient yet concise presentation of the main topics and related parts of Stochastic Analysis and statistical finance covered in most degree courses ...

... finance and the theory of investment', The American Economic Review 48, 261–297. Muthuraman, K. and Kumar, S. (2006), 'Multidimensional portfolio optimization with proportional transaction costs', Mathematical Finance: An International ...

This book contains high-quality papers presented at the First International Forum on Financial Mathematics and Financial Technology.

The book collects over 120 exercises on different subjects of Mathematical Finance, including Option Pricing, Risk Theory, and Interest Rate Models.