Title
Statistics and Data Analysis for Financial Engineering (Springer Texts in Statistics),Used
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Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with realdata exercises, and integration of graphical and analytic methods for modeling and diagnosing modeling errors. Despite some overlap with the authors undergraduate textbook Statistics and Finance: An Introduction, this book differs from that earlier volume in several important aspects: it is graduatelevel; computations and graphics are done in R; and many advanced topics are covered, for example, multivariate distributions, copulas, Bayesian computations, VaR and expected shortfall, and cointegration.The prerequisites are basic statistics and probability, matrices and linear algebra, and calculus.Some exposure to finance is helpful.
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- Q: What is the size of the book? A: The book measures six point five inches in length, one point five inches in width, and nine point seven six inches in height.
- Q: How many pages does this book have? A: This book contains six hundred thirty-eight pages, providing extensive coverage of statistics and data analysis.
- Q: What type of binding does the book have? A: The book is bound in hardcover, ensuring durability and a professional appearance.
- Q: What topics does this book cover? A: The book covers advanced topics such as multivariate distributions, copulas, Bayesian computations, and risk management techniques.
- Q: What are the prerequisites for reading this book? A: Readers should have a basic understanding of statistics, probability, matrices, linear algebra, and calculus.
- Q: Is this book suitable for beginners? A: No, this book is intended for graduate-level students and assumes prior knowledge in statistics and finance.
- Q: How can I apply the concepts from this book? A: You can apply the concepts through real-data exercises and R Labs included in the textbook.
- Q: What is the target audience for this book? A: The target audience includes graduate students and professionals in financial engineering and quantitative finance.
- Q: Does this book include practical exercises? A: Yes, the book includes R Labs with real-data exercises to enhance learning and application.
- Q: How should I care for this book? A: To keep the book in good condition, store it in a dry place and avoid exposure to direct sunlight.
- Q: Is this book safe for children? A: No, this book is not suitable for children as it addresses complex graduate-level topics.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you should contact the retailer for return or exchange options.
- Q: Are there any special shipping considerations? A: Typically, standard shipping options are available, but check with the retailer for any discrete shipping requests.
- Q: What if I have questions while reading the book? A: You can usually find additional resources or forums online for support related to the book's content.
- Q: How does this book compare to other statistics textbooks? A: This book differs by focusing specifically on financial engineering, integrating R programming, and covering advanced topics not found in standard texts.