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Statistical Analysis of Financial Data: With Examples In R by James Gentle (Engl

Description: Statistical Analysis of Financial Data by James Gentle The book is about financial data - security prices and prices of derivatives, and the statistical methods for analyzing such data. It covers statistical models of branching processes, linear discrete time series models, and continuous-time stochastic models, all at an intermediate level (advanced undergraduate or beginning graduate). FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description Statistical Analysis of Financial Data covers the use of statistical analysis and the methods of data science to model and analyze financial data. The first chapter is an overview of financial markets, describing the market operations and using exploratory data analysis to illustrate the nature of financial data. The software used to obtain the data for the examples in the first chapter and for all computations and to produce the graphs is R. However discussion of R is deferred to an appendix to the first chapter, where the basics of R, especially those most relevant in financial applications, are presented and illustrated. The appendix also describes how to use R to obtain current financial data from the internet. Chapter 2 describes the methods of exploratory data analysis, especially graphical methods, and illustrates them on real financial data. Chapter 3 covers probability distributions useful in financial analysis, especially heavy-tailed distributions, and describes methods of computer simulation of financial data. Chapter 4 covers basic methods of statistical inference, especially the use of linear models in analysis, and Chapter 5 describes methods of time series with special emphasis on models and methods applicable to analysis of financial data.Features* Covers statistical methods for analyzing models appropriate for financial data, especially models with outliers or heavy-tailed distributions. * Describes both the basics of R and advanced techniques useful in financial data analysis.* Driven by real, current financial data, not just stale data deposited on some static website.* Includes a large number of exercises, many requiring the use of open-source software to acquire real financial data from the internet and to analyze it. Author Biography James E. Gentle is University Professor Emeritus at George Mason University. He is a Fellow of the American Statistical Association (ASA) and of the American Association for the Advancement of Science. He is author of Random Number Generation and Monte Carlo Methods and Matrix Algebra. Table of Contents 1. The Nature of Financial Data. 2. Sources of Financial Data and Software to Work with It. 3. Statistical Analysis of Financial Data. 4. Time Series Analysis. 5. Nonparametric Smoothing and Pattern Recognition. 6. Portfolios of Assets 7. Futures and Derivatives. Review "The book is very well written, and fills an important need for an up-to-date textbook about statistical techniques applied to finance. The book explains the theory behind the statistical techniques very well, with good detail. The mathematical notation is appealing and elegant." ~Jerzy Pawlowski, New York University Tandon School of Engineering"I thoroughly enjoyed reading the first two chapters of the book. Often, the first couple of chapters of a book provide a "boilerplate" discussion of the characteristics of the data and R. Here, the first two chapters are very well developed, to the point that they provide a good general resource to readers approaching the analysis of financial data from several different perspectives. For example, students in statistics usually approach the entire analysis of time series having in mind the potential application to the analysis of financial data, but they know nothing about the characteristics of the data and the financial markets...Just like the previous chapters, I broadly enjoyed reading this chapter. Prof. Gentle explains the topics clearly and often uses simulations to convey the intuition. Thats also the way I like to teach these concepts and I think it enhances understanding among economics and finance students. I also commend the way he discusses the lag and difference operators and how they are implemented in R. He devotes quite some space to them, and I believe that is good as many texts go over these concepts too quickly for many students. Likewise, the discussion of the AR(I)MA models is very detailed and clear. ~Jan Annaert, University of Antwerp and Antwerp Management School"The book is very well written, and fills an important need for an up-to-date textbook about statistical techniques applied to finance. The book explains the theory behind the statistical techniques very well, with good detail. The mathematical notation is appealing and elegant." ~Jerzy Pawlowski, New York University Tandon School of Engineering"I thoroughly enjoyed reading the first two chapters of the book. Often, the first couple of chapters of a book provide a "boilerplate" discussion of the characteristics of the data and R. Here, the first two chapters are very well developed, to the point that they provide a good general resource to readers approaching the analysis of financial data from several different perspectives. For example, students in statistics usually approach the entire analysis of time series having in mind the potential application to the analysis of financial data, but they know nothing about the characteristics of the data and the financial markets...Just like the previous chapters, I broadly enjoyed reading this chapter. Prof. Gentle explains the topics clearly and often uses simulations to convey the intuition. Thats also the way I like to teach these concepts and I think it enhances understanding among economics and finance students. I also commend the way he discusses the lag and difference operators and how they are implemented in R. He devotes quite some space to them, and I believe that is good as many texts go over these concepts too quickly for many students. Likewise, the discussion of the AR(I)MA models is very detailed and clear. ~Jan Annaert, University of Antwerp and Antwerp Management School"Overall, I believe the book is perfect for readers with limited statistical and financial knowledge interested in having a first look both at financial data creation and at the statistical methods that could be used to analyse financial data; traders and financial analysts would suffer for the limited real-life examples, but they will benefit for the extensive and detailed introduction to the statistical tools for financial data analysis."- Massimiliano Caporin, Journal of the Royal Statistical Society, Vol 185, Issue 1, 2022 Review Quote "The book is very well written, and fills an important need for an up-to-date textbook about statistical techniques applied to finance. The book explains the theory behind the statistical techniques very well, with good detail. The mathematical notation is appealing and elegant." ~Jerzy Pawlowski, New York University Tandon School of Engineering "I thoroughly enjoyed reading the first two chapters of the book. Often, the first couple of chapters of a book provide a "boilerplate" discussion of the characteristics of the data and R. Here, the first two chapters are very well developed, to the point that they provide a good general resource to readers approaching the analysis of financial data from several different perspectives. For example, students in statistics usually approach the entire analysis of time series having in mind the potential application to the analysis of financial data, but they know nothing about the characteristics of the data and the financial markets...Just like the previous chapters, I broadly enjoyed reading this chapter. Prof. Gentle explains the topics clearly and often uses simulations to convey the intuition. Thats also the way I like to teach these concepts and I think it enhances understanding among economics and finance students. I also commend the way he discusses the lag and difference operators and how they are implemented in R. He devotes quite some space to them, and I believe that is good as many texts go over these concepts too quickly for many students. Likewise, the discussion of the AR(I)MA models is very detailed and clear. ~Jan Annaert, University of Antwerp and Antwerp Management School Details ISBN1138599492 Author James Gentle Publisher Taylor & Francis Ltd Series Chapman & Hall/CRC Texts in Statistical Science Year 2020 ISBN-10 1138599492 ISBN-13 9781138599499 Format Hardcover Imprint CRC Press Place of Publication London Country of Publication United Kingdom Affiliation George Mason University DEWEY 332.0151955 Short Title Statistical Analysis of Financial Data Language English Publication Date 2020-03-11 AU Release Date 2020-03-11 NZ Release Date 2020-03-11 Pages 666 Subtitle With Examples In R Alternative 9781032173467 Audience Tertiary & Higher Education UK Release Date 2020-03-11 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:134583285;

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Statistical Analysis of Financial Data: With Examples In R by James Gentle (Engl

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ISBN-13: 9781138599499

Book Title: Statistical Analysis of Financial Data

Item Height: 234 mm

Item Width: 156 mm

Author: James Gentle

Publication Name: Statistical Analysis of Financial Data: with Examples in R

Format: Hardcover

Language: English

Publisher: Taylor & Francis Ltd

Subject: Finance

Publication Year: 2020

Type: Textbook

Item Weight: 1211 g

Number of Pages: 646 Pages

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