FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World


 Title Applied Quantitative Finance: Theory and Computational Tools
 Author(s) Wolfgang K. Hardle, Nikolaus Hautsch, Ludger Overbeck
 Publisher: Springer; Softcover reprint (November 10, 2010); eBook (2002 Draft)
 Paperback 447 pages
 eBook PDF
 Language: English
 ISBN10: 3642088678
 ISBN13: 9783642088674
 Share This:
Book Description
Applied Quantitative Finance presents solutions, theoretical developments and method proliferation for many practical problems in quantitative finance. The combination of practice and theory supported by computational tools is reflected in the selection of topics as well as in a finely tuned balance of scientific contributions on the practical implementation and theoretical concepts. This concept offers theoreticians insight into the applicability of the methodology and, vice versa, practitioners insight into new methods for their applications. The ebook design of the text links theory and computational tools in an innovative way. All Quantlets for the calculation of the given examples in the text are supported by the academic edition of XploRe. The electronic edition of the book enables one to execute and modify all quantlets immediately.
About the Authors Wolfgang Karl Härdle is the Ladislaus von Bortkiewicz Professor of Statistics at the HumboldtUniversität zu Berlin and director of C.A.S.E. (Center for Applied Statistics and Economics), director of the CRC649 (Collaborative Research Center) “Economic Risk” and director of the IRTG 1792 “High Dimensional Nonstationary Time Series.” He teaches quantitative finance and semiparametric statistics. His research focuses on dynamic factor models, multivariate statistics in finance and computational statistics.
 Financial Mathematics, Financial Engineering, and Mathematical Economics
 Statistics, Mathematical Statistics, and SAS Programming
 Probability and Stochastic Process
 Operations Research and Optimization Books
 Data Analysis and Data Mining Books
 Applied Mathematics
 Applied Quantitative Finance: Theory and Computational Tools (Wolfgang K. Hardle)
 The Mirror Site (1)  PDF

Mathematics for Finance: An Introduction to Financial Engineering
This book is an excellent introduction to Mathematical Finance. Armed with a knowledge of basic calculus and probability a student can use this book to learn about derivatives, interest rates and their term structure and portfolio management.

Mathematics of Economics and Business (Frank Werner, et al.)
For all students who wish to understand current economic and business literature, knowledge of mathematical methods has become a prerequisite. Clear and concise, with precise definitions and theorems, this book covers all the major topics required.

Financial Mathematics: Concepts and Computational Methods
This text serves as a primer in financial mathematics with a focus on conceptual understanding of models and problem solving. It includes the mathematical background needed for risk management, such as probability theory, optimization, and the like.

Financial Numerical Recipes in C++: Applications in Finance
This book provides a good deal of useful examples and algorithms for people working within the field of finance, in C++. All the routines have been made to confirm to the new ISO/ANSI C++ standard, using namespaces and the standard template library.

Mathematical Methods for Economic Theory (Martin J. Osborne)
This book covers the basic mathematical tools used in economic theory. It emphasizes techniques rather than abstract theory. However, the conditions under which each technique is applicable are stated precisely.

Statistical Tools for Finance and Insurance (Pavel Cizek, et al)
This book presents readytouse solutions, theoretical developments and method construction for many practical problems in quantitative finance and insurance.
:






















