Use powerful C++ algorithms and Object Oriented Programming (OOP) to aid in hedge fund decision making
Low interest rates, overcrowded markets and greater regulatory oversight are just some of the many reasons it is close to impossible for hedge funds to draw competitive returns. The solution for many hedge fund managers, quantitative investment analysts and risk managers is to adopt new technologies, platforms and programming languages to better manage their risks and maximise the benefits of their return profiles.
Hedge Fund Modelling and Analysis is a full course in the latest analytic strategies for hedge fund investing, complete with a one-of-a-kind primer on both C++ and object oriented programming (OOP). Covering both basic and risk-adjusted performance measures, this practitioner's guide enables you to manage risk easily and make the most of key statistics with simple and advanced analysis techniques. This highly anticipated third book in the widely used Hedge Fund Modelling and Analysis series is the only guide available for applying the powerful C++ language to revolutionise hedge fund trading. Even if you've never worked with code before, the focused overview of C++ gives you everything you need to navigate the technical aspects of object oriented programming, which enables you to build sophisticated analysis programs from small units of reusable code. This book is your breakthrough introduction to winning with hedge funds in the new reality of trading.
Jumpstart your new approach to beating the markets with:
*All the guidance and hands-on support you need to use quantitative strategies to optimise hedge fund decision-making. *Illustrative modelling exercises and worked-out problems demonstrating what to expect when assessing risk and return factors in the real world. *A companion website offering additional C++ programs, algorithms and data to download.
Make reading Hedge Fund Modelling and Analysis your new routine and gain all the insight and relevant information you need to beat the markets.
PAUL DARBYSHIRE gained his PhD in Theoretical Physics from King's College London and then began his career working as a Quantitative Analyst and Trader at HSBC on the Exotic Derivatives and Structured Products desk. He has subsequently been involved in the development and implementation of a variety of trading and risk management platforms for a number of major investent banks around the globe. Since 2005, Paul has been responsible for the analysis and design of cutting-edge algorithms in the development of behavioural finance and decision-making models at the University of Oxford. Paul also provides many private equity firms, hedge funds and investment management companies with senior consultancy in areas such as dynamic portfolio optimisation, trading platform design, software engineering and risk management.
DAVID HAMPTON gained his PhD in Electrical Engineering from the Queen's University of Belfast and an international MBA from Institut Superieur de Gestion in Paris, New York and Tokyo before joining Bank of America Capital Markets in London. David was previously an Adjunct Finance Professor at Skema Business School in Sophia Antipolis where he taught Financial Engineering and Excel/VBA Programming at the MSc level. At EDHEC Business School in Nice, he was responsible for managing their range of five MSc courses as Assistant Dean of the Financial Economics Track. An NFA registered CTA since 1996, David has been active as a consultant to the hedge fund community and as a Hedge Fund Manager with particular expertise in Global Macro Managed Futures and Long Short Equity investment styles.
This is the third book in the authorial team's popular Hedge Fund Modelling and Analysis series, which includes Hedge Fund Modelling and Analysis using MATLAB and Hedge Fund Modelling and Analysis Using Excel and VBA.
