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
Details
Looking to gain a competitive edge in the fast-paced world of finance? Look no further than Statistics of Financial Markets: An Introduction. This fifth edition book provides a detailed yet concise overview of statistical applications in finance that is essential for understanding option contracts, financial time series, portfolio selection, and risk management. Stay ahead of the curve with the latest updates in neural networks, deep learning, and crypto-currencies—all now included in this must-have edition. Elevate your financial knowledge with transparent and reproducible numerical calculations that will set you apart from the rest.
Whether you are a student, professor, or industry practitioner, this book serves as the ideal foundation for lectures, seminars, or crash courses on mathematical finance and financial time series analysis. Gain access to R and Matlab code, as well as data downloads, from the Quantlet platform. This integrated QuantNet environment not only promotes reproducibility but also facilitates the sharing of validated knowledge native to the social web. Dive into the world of financial data analysis with the tools and insights provided in this comprehensive resource.
Don't miss the opportunity to learn from the best in the field—Yacine Ait-Sahalia, Otto Hack 1903 Professor of Finance and Economics at Princeton University, hails this book as an excellent resource for students and practitioners alike. With clear, accessible writing and practical applications, Statistics of Financial Markets: An Introduction is a valuable asset for anyone looking to navigate the intricate world of finance with confidence and expertise.
Order your copy today and embark on a journey towards mastering statistical applications in finance that will set you apart in the competitive world of financial markets.
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