‎ Wiley

18 January 2013


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By Andrea Germani - Daniel Duffy


About the BookAbout the Author(s)Further InfoInterview

A practice-oriented guide to using C# to design and program pricing and trading models

In this step-by-step guide to software development for financial analysts, traders, developers and quants, the authors show both novice and experienced practitioners how to develop robust and accurate pricing models and employ them in real environments. Traders will learn how to design and implement applications for curve and surface modeling, fixed income products, hedging strategies, plain and exotic option modeling, interest rate options, structured bonds, unfunded structured products, and more. A unique mix of modern software technology and quantitative finance, this book is both timely and practical. The approach is thorough and comprehensive and the authors use a combination of C# language features, design patterns, mathematics and finance to produce efficient and maintainable software.

Designed for quant developers, traders and MSc/MFE students, each chapter has numerous exercises and the book is accompanied by a dedicated companion website, http://www.datasimfinancial.com/forum/viewforum.php?f=196&sid=f30022095850dee48c7db5ff62192b34, providing all source code, alongside audio, support and discussion forums for readers to comment on the code and obtain new versions of the software.


Daniel Duffy headshot

Daniel J. Duffy started the company Datasim in 1987 to promote C++ as a new object-oriented language for developing applications in the roles of developer, architect and requirements analyst to help clients design and analyse software systems for Computer Aided Design (CAD), process control and hardware-software systems, logistics, holography (optical technology) and computational finance. He used a combination of top-down functional decomposition and bottom-up object-oriented programming techniques to create stable and extendible applications (for a discussion, see Duffy 2004 where we have grouped applications into domain categories). Previous to Datasim he worked on engineering applications in oil and gas and semiconductor industries using a range of numerical methods (for example, the finite element method (FEM)) on mainframe and mini-computers.

Daniel Duffy has BA (Mod), MSc and PhD degrees in pure, applied and numerical mathematics from Trinity College, Dublin. He has been active in promoting partial differential equation (PDE) and finite difference methods (FDM) for applications in computational finance and was responsible for the introduction of the Fractional Step (Soviet Splitting) method and the Alternating Direction Explicit (ADE) method in computational finance. He is also the originator of the exponential fitting method for time-dependent partial differential equations.

He is also the originator of two very popular C++ online courses (both C++03 and C++11/14) on www.quantnet.com in cooperation with Quantnet LLC and Baruch College (CUNY), NYC. He also trains developers and designers around the world.

- More about Daniel Duffy



C# for Financial Markets headshot

ANDREA GERMANI was born in Lodi, Italy in 1975, where he currently lives. After graduating from Bocconi University in Milano, he obtained the Certificate in Quantitative Finance in London under the supervision of Paul Wilmott. Since then he has been working as a trader in some of the major Italian banks, where he gained a deep knowledge of financial markets. He also worked on valuation and pricing of equity and interest-derivatives, with a focus on the practical use of models on the trading floor. His teaching experience includes finance training courses for university students and practitioners. He is the Head of Interest Rate Derivatives Trading and Treasury in a bank.

Daniel Duffy headshot
C# for Financial Markets - an interview with Daniel J Duffy

Way back in 2013 we spoke with Daniel J. Duffy whose co-authored C# for Financial Markets with Andrea Germani. We talk about what makes C# a great choice for programming financial applications and how it contrasts with C++ in terms of productivity and flexibility.