Description
Book Synopsis:
Now in its fifth edition, this book offers a detailed yet concise introduction to the growing field of statistical applications in finance. The reader will learn the basic methods for evaluating option contracts, analyzing financial time series, selecting portfolios and managing risks based on realistic assumptions about market behavior. The focus is both on the fundamentals of mathematical finance and financial time series analysis, and on applications to specific problems concerning financial markets, thus making the book the ideal basis for lectures, seminars and crash courses on the topic. All numerical calculations are transparent and reproducible using quantlets.
For this new edition the book has been updated and extensively revised and now includes several new aspects such as neural networks, deep learning, and crypto-currencies. Both R and Matlab code, together with the data, can be downloaded from the book’s product page and the Quantlet platform.
The Quantlet platform quantlet.de, quantlet.com, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding Data-Driven Documents-based visualization allow readers to reproduce the tables, pictures and calculations inside this Springer book.
“This book provides an excellent introduction to the tools from probability and statistics necessary to analyze financial data. Clearly written and accessible, it will be very useful to students and practitioners alike.”
Yacine Ait-Sahalia, Otto Hack 1903 Professor of Finance and Economics, Princeton University
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Details
The Statistics of Financial Markets: An Introduction (Universitext) is the ultimate guide for anyone looking to delve into the exciting and profitable world of finance. Now in its fifth edition, this book offers a detailed and concise introduction to the field of statistical applications in finance. Whether you are a student looking to expand your knowledge or a seasoned practitioner wanting to stay up-to-date, this book has something for everyone.
With a focus on both the fundamentals of mathematical finance and financial time series analysis, this book provides a comprehensive understanding of how to evaluate option contracts, analyze financial time series, select portfolios, and manage risks effectively. The methods and techniques you'll learn are based on realistic assumptions about market behavior, ensuring that you're equipped with the tools necessary for real-world financial decision making.
But what makes this book truly stand out is its commitment to practicality. All numerical calculations in the book are transparent and reproducible using quantlets, and both R and Matlab code, together with the data, are available for download. This means that you can easily apply the concepts you learn to real-world scenarios, making this book invaluable for lectures, seminars, and crash courses.
With the fifth edition, the book has been updated and extensively revised to include the latest advancements in the field. Topics such as neural networks, deep learning, and crypto-currencies have been added to ensure that you have the most up-to-date information at your disposal.
Don't miss out on this opportunity to expand your knowledge and gain a competitive edge in the financial markets. Order your copy of the Statistics of Financial Markets: An Introduction (Universitext) today and start making smarter financial decisions.
Click here to order now and embark on your journey to financial success!
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