Stochastic Methods in Finance This volume includes the five lectures at the CIME-EMS School on …
Risk Quantification Management Diagnosis This is very much an elementary treatise. Not directed at the professional researcher in finance, who should already have an extensive background in statistics. But the discussion in the book is …
Exotic Options Trading The Written by an experienced trader and consultant, Frans de Weert’s Exotic Options Trading offers a risk-focused approach to the pricing of exotic options. By giving readers the necessary tools to …
Democratizing Innovation “Democratizing Innovation” means “innovating of oneself”, for doing that one gets exactly what one wants, and not what manufacturers think the “average” user wants. The book claims that a key …
Contemporary Quantitative Finance Essays The contributors to this volume write a series of articles outlining contemporary advances in a number of key areas of mathematical finance such as, optimal control theory applied to finance, …
Private Participation in Infrastructure Infrastructure has played a major role in China’s rapid development. Over the 1990s the road network expanded by more than 40 per cent, water production grew by more than 50 per cent and China …
Countering Terrorist Finance Tim Parkman and Gill Peeling’s Countering Terrorist Finance – A Training Handbook for Financial Services is a practical, specialist guide to the processes and skills needed to counter money …
Models Methods for Project I thought this was a well written book. The models were explained simply, and with a logical progression. I got several ideas for a project I am working on – the original point of purchasing this …
Practical Financial Optimization A In Practical Financial Optimization: A Library of GAMS Models, the authors provide a diverse set of models for portfolio optimization, based on the General Algebraic Modelling System. ‘GAMS’ …
Neural Networks Finance and Neural networks are revolutionizing virtually every aspect of financial and investment decision-making. Financial firms worldwide are using neural networks to forecast markets, analyze credit risks, …