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Introduction to statistical methods for financial models

By: Severini, Thomas A.
Material type: materialTypeLabelBookSeries: Texts in statistical science series. Publisher: Boca Raton Chapman & Hall/ CRC Press 2018Description: xvi, 370 p.ISBN: 9781138198371.Subject(s): Economics | Statistical methods | Finance - Mathematical models | Finance - Statistical methodsDDC classification: 332.0727 Summary: 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. https://www.crcpress.com/Introduction-to-Statistical-Methods-for-Financial-Models/Severini/p/book/9781138198371
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Slot 615 (0 Floor, West Wing) Non-fiction 332.0727 S3I6 (Browse shelf) Not for Issue 199355

Table of Contents

1.Introduction
2.Returns.
3.Random Walk Hypothesis.
4.Portfolios.
5.Efficient Portfolio Theory.
6.Estimation.
7.Capital Asset Pricing Model.
8.The Market Model.
9.The Single-Index Model.
10.Factor Models.

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.

https://www.crcpress.com/Introduction-to-Statistical-Methods-for-Financial-Models/Severini/p/book/9781138198371

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