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Introduction to Statistical Methods for Financial Models

2017-07-06 Business & Economics
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Release : 2017-07-06
Genre : Business & Economics
Kind : eBook
Book Rating : 919/5 ( reviews)

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Book Synopsis Introduction to Statistical Methods for Financial Models by : Thomas A Severini

Download or read book Introduction to Statistical Methods for Financial Models written by Thomas A Severini. This book was released on 2017-07-06. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the use of statistical concepts and methods to model and analyze financial data. The ten chapters of the book fall naturally into three sections. Chapters 1 to 3 cover some basic concepts of finance, focusing on the properties of returns on an asset. Chapters 4 through 6 cover aspects of portfolio theory and the methods of estimation needed to implement that theory. The remainder of the book, Chapters 7 through 10, discusses several models for financial data, along with the implications of those models for portfolio theory and for understanding the properties of return data. The audience for the book is students majoring in Statistics and Economics as well as in quantitative fields such as Mathematics and Engineering. Readers are assumed to have some background in statistical methods along with courses in multivariate calculus and linear algebra.

Introduction to Statistical Methods for Financial Models

2017-07-06 Business & Economics
Download Introduction to Statistical Methods for Financial Models PDF Online Free

Author :
Release : 2017-07-06
Genre : Business & Economics
Kind : eBook
Book Rating : 900/5 ( reviews)

GET EBOOK


Book Synopsis Introduction to Statistical Methods for Financial Models by : Thomas A Severini

Download or read book Introduction to Statistical Methods for Financial Models written by Thomas A Severini. This book was released on 2017-07-06. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the use of statistical concepts and methods to model and analyze financial data. The ten chapters of the book fall naturally into three sections. Chapters 1 to 3 cover some basic concepts of finance, focusing on the properties of returns on an asset. Chapters 4 through 6 cover aspects of portfolio theory and the methods of estimation needed to implement that theory. The remainder of the book, Chapters 7 through 10, discusses several models for financial data, along with the implications of those models for portfolio theory and for understanding the properties of return data. The audience for the book is students majoring in Statistics and Economics as well as in quantitative fields such as Mathematics and Engineering. Readers are assumed to have some background in statistical methods along with courses in multivariate calculus and linear algebra.

Statistics and Data Analysis for Financial Engineering

2015-04-21 Business & Economics
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Release : 2015-04-21
Genre : Business & Economics
Kind : eBook
Book Rating : 144/5 ( reviews)

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Book Synopsis Statistics and Data Analysis for Financial Engineering by : David Ruppert

Download or read book Statistics and Data Analysis for Financial Engineering written by David Ruppert. This book was released on 2015-04-21. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest.

Statistical Analysis of Financial Data in S-Plus

2006-04-18 Business & Economics
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Release : 2006-04-18
Genre : Business & Economics
Kind : eBook
Book Rating : 246/5 ( reviews)

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Book Synopsis Statistical Analysis of Financial Data in S-Plus by : René Carmona

Download or read book Statistical Analysis of Financial Data in S-Plus written by René Carmona. This book was released on 2006-04-18. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book at the graduate textbook level to discuss analyzing financial data with S-PLUS. Its originality lies in the introduction of tools for the estimation and simulation of heavy tail distributions and copulas, the computation of measures of risk, and the principal component analysis of yield curves. The book is aimed at undergraduate students in financial engineering; master students in finance and MBA's, and to practitioners with financial data analysis concerns.

Statistical Methods in Finance

1996-12-11 Business & Economics
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Release : 1996-12-11
Genre : Business & Economics
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Statistical Methods in Finance by : G. S. Maddala

Download or read book Statistical Methods in Finance written by G. S. Maddala. This book was released on 1996-12-11. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive reference work for teaching at graduate level and research in empirical finance. The chapters cover a wide range of statistical and probabilistic methods applied to a variety of financial methods and are written by internationally renowned experts.

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