Description: Statistical Analysis of Financial Data in R by René Carmona Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. Publisher Description Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This textbook fills this gap by addressing some of the most challenging issues facing financial engineers. It shows how sophisticated mathematics and modern statistical techniques can be used in the solutions of concrete financial problems. Concerns of risk management are addressed by the study of extreme values, the fitting of distributions with heavy tails, the computation of values at risk (VaR), and other measures of risk. Principal component analysis (PCA), smoothing, and regression techniques are applied to the construction of yield and forward curves. Time series analysis is applied to the study of temperature options and nonparametric estimation. Nonlinear filtering is applied to Monte Carlo simulations, option pricing and earnings prediction. This textbook is intended for undergraduate students majoring in financial engineering, or graduate students in a Master in finance or MBA program. It is sprinkled with practical examples using market data, and each chapter ends with exercises. Practical examples are solved in the R computing environment. They illustrate problems occurring in the commodity, energy and weather markets, as well as the fixed income, equity and credit markets. The examples, experiments and problem sets are based on the library Rsafd developed for the purpose of the text. The book should help quantitative analysts learn and implement advanced statistical concepts. Also, it will be valuable for researchers wishing to gain experience with financial data, implement and test mathematical theories, and address practical issues that are often ignored or underestimated in academic curricula.This is the new, fully-revised edition to the book Statistical Analysis of Financial Data in S-Plus.René Carmona is the Paul M. Wythes 55 Professor of Engineering and Finance at Princeton University in the department of Operations Research and Financial Engineering, and Director of Graduate Studies of the Bendheim Center for Finance. His publications include over one hundred articles and eight books in probability and statistics. He was elected Fellow of the Institute of Mathematical Statistics in 1984, and of the Society for Industrial and Applied Mathematics in 2010. He is on the editorial board of several peer-reviewed journals and book series. Professor Carmona has developed computer programs for teaching statistics and research in signal analysis and financial engineering. He has worked for many years on energy, the commodity markets and more recently in environmental economics, and he is recognized as a leading researcher and expert in these areas. Author Biography René Carmona is the Paul M. Wythes 55 Professor of Engineering and Finance at Princeton University in the department of Operations Research and Financial Engineering, and Director of Graduate Studies of the Bendheim Center for Finance. His publications include over one hundred articles and eight books in probability and statistics. He was elected Fellow of the Institute of Mathematical Statistics in 1984, and of the Society for Industrial and Applied Mathematics in 2010. He is on the editorial board of several peer-reviewed journals and book series. Professor Carmona has developed computer programs for teaching statistics and research in signal analysis and financial engineering. He has worked for many years on energy, the commodity markets and more recently in environmental economics, and he is recognized as a leading researcher and expert in these areas. Details ISBN 1493938355 ISBN-13 9781493938353 Title Statistical Analysis of Financial Data in R Author René Carmona Format Paperback Year 2016 Pages 588 Edition 2nd Publisher Springer-Verlag New York Inc. GE_Item_ID:137764577; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. 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Price: 148.32 USD
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End Time: 2024-11-25T04:19:57.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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ISBN-13: 9781493938353
Type: NA
Publication Name: NA
Edition: 2
Book Title: Statistical Analysis of Financial Data in R
Number of Pages: Xvii, 588 Pages
Language: English
Publisher: Springer New York
Publication Year: 2016
Topic: Probability & Statistics / Multivariate Analysis, Probability & Statistics / General, Applied, Statistics
Illustrator: Yes
Genre: Mathematics, Business & Economics
Item Weight: 54.5 Oz
Item Length: 10 in
Author: René Carmona
Book Series: Springer Texts in Statistics Ser.
Item Width: 7 in
Format: Trade Paperback