Mathematics for Finance

PUBLISHED


Viewing: 1 - 10 of 90
Published:
April 23, 2013
Author(s):
Anatoliy Swishchuk; Shafiqul Islam
The theory and applications of random dynamical systems (RDS) are at the cutting edge of research in mathematics and economics, particularly in modeling the long-run evolution of economic systems subject to exogenous random shocks. Despite this interest, there are no books available that solely 
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Published:
April 18, 2013
Author(s):
Masaaki Kijima
Financial engineering has been proven to be a useful tool for risk management, but using the theory in practice requires a thorough understanding of the risks and ethical standards involved. Stochastic Processes with Applications to Finance, Second Edition presents the mathematical theory of 
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Published:
April 05, 2013
Author(s):
Bruno Remillard
While many financial engineering books are available, the statistical aspects behind the implementation of stochastic models used in the field are often overlooked or restricted to a few well-known cases. Statistical Methods for Financial Engineering guides current and future practitioners on 
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Published:
December 06, 2012
Author(s):
Stanley L. Sclove
Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The author introduces regression analysis, time series analysis, and multivariate analysis step by step using models and methods from finance. The book begins with a 
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Published:
November 28, 2012
Author(s):
Robert D. Edwards; John Magee; W.H.C. Bassetti
Sixty-three years. Sixty-three years and Technical Analysis of Stock Trends still towers over the discipline of technical analysis like a mighty redwood. Originally published in 1948 and now in its Tenth Edition, this book remains the original and most important work on this topic. The book 
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Published:
September 05, 2012
Author(s):
Ali Hirsa
As today’s financial products have become more complex, quantitative analysts, financial engineers, and others in the financial industry now require robust techniques for numerical analysis. Covering advanced quantitative techniques, Computational Methods in Finance explains how to solve complex 
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Published:
May 29, 2012
Author(s):
Nigel Lewis
The consequences of taking on risk can be ruinous to personal finances, professional careers, corporate survivability, and even nation states. Yet many risk managers do not have a clear understanding of the basics. Requiring no statistical or mathematical background, The Fundamental Rules of Risk 
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$69.95
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Published:
May 22, 2012
Author(s):
Hui Wang
Developed from the author’s course on Monte Carlo simulation at Brown University, Monte Carlo Simulation with Applications to Finance provides a self-contained introduction to Monte Carlo methods in financial engineering. It is suitable for advanced undergraduate and graduate students taking a 
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Published:
March 19, 2012
Editor(s):
William R. Bell; Scott H. Holan; Tucker S. McElroy
Economic Time Series: Modeling and Seasonality is a focused resource on analysis of economic time series as pertains to modeling and seasonality, presenting cutting-edge research that would otherwise be scattered throughout diverse peer-reviewed journals. This compilation of 21 chapters showcases 
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Published:
February 15, 2012
Author(s):
Catalina Bolancé; Montserrat Guillén; Jim Gustafsson; Jens Perch Nielsen
Using real-life examples from the banking and insurance industries, Quantitative Operational Risk Models details how internal data can be improved based on external information of various kinds. Using a simple and intuitive methodology based on classical transformation methods, the book includes 
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