Statistics in Finance

“Statistics in Finance” by David J. Hand, published by Wiley on May 24, 2010, is a comprehensive exploration of the application of statistical methods within the financial sector. This 354-page book is written in English and aims to engage statisticians by illustrating the various ways statistical tools are utilized in financial applications. It highlights both the challenges and opportunities present in this field, providing a balanced overview that caters to a range of technical expertise.
Readers will find that the chapters cover diverse aspects of finance, from broad non-technical overviews to detailed mathematical discussions. The book emphasizes the importance of statistical models and techniques, encouraging statisticians to deepen their understanding of financial problems and methodologies. With extensive references included, this edition serves as a valuable resource for those interested in the intersection of mathematics, probability, and stochastic processes in finance.
Official synopsis Publisher
The chapters in this book describe various aspects of the application of statistical methods in finance. It will interest and attract statisticians to this area, illustrate some of the many ways that statistical tools are used in financial applications, and give some indication of problems which are still outstanding. The statisticians will be stimulated to learn more about the kinds of models and techniques outlined in the book – both the domain of finance and the science of statistics will benefit from increased awareness by statisticians of the problems, models, and techniques applied in financial applications. For this reason, extensive references are given. The level of technical detail varies between the chapters. Some present broad non-technical overviews of an area, while others describe the mathematical niceties. This illustrates both the range of possibilities available in the area for statisticians, while simultaneously giving a flavour of the different kinds of mathematical and statistical skills required. Whether you favour data analysis or mathematical manipulation, if you are a statistician there are problems in finance which are appropriate to your skills.
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