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Market Models : A Guide to Financial Data Analysis Hardcover Caro

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Book Title
Market Models : A Guide to Financial Data Analysis Hardcover Caro
ISBN
9780471899754

Über dieses Produkt

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471899755
ISBN-13
9780471899754
eBay Product ID (ePID)
1610929

Product Key Features

Number of Pages
514 Pages
Language
English
Publication Name
Market Models : a Guide to Financial Data Analysis
Subject
Investments & Securities / Portfolio Management, Finance / General, Investments & Securities / Analysis & Trading Strategies
Publication Year
2001
Type
Textbook
Subject Area
Business & Economics
Author
Carol Alexander
Format
Hardcover

Dimensions

Item Height
1.6 in
Item Weight
46.5 Oz
Item Length
10 in
Item Width
7.7 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2001-026204
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
332.63/222
Table Of Content
Preface. Acknowledgments. PART I: VOLATILITY AND CORRELATION ANALYSIS. Understanding Volatility and Correlation. Implied Volatility and Correlation. Moving Average Models. GARCH Models. Forecasting Volatility and Correlation. PART II: MODELLING THE MARKET RISK OF PORTFOLIOS. Principal Component Analysis. Covariance Matrices. Risk Measurement in Factor Models. Value-At-Risk. Modelling Non-Normal Returns. PART III: STATISTICAL MODELS FOR FINANCIAL MARKETS. Time Series Models. Cointegration. Forecasting High-Frequency Data. Technical Appendices. A1 Linear Regression. A2 Statistical Inference. A3 Residual Analysis. A4 Data Problems. A5 Prediction. A6 Maximum Likelihood Methods. References. Tables. Index.
Synopsis
Market Models provides an authoritative and up-to-date treatment of the use of market data to develop models for financial analysis. Written by a leading figure in the field of financial data analysis, this book is the first of its kind to address the vital techniques required for model selection and development. Model developers are faced with many decisions, about the pricing, the data, the statistical methodology and the calibration and testing of the model prior to implementation. It is important to make the right choices and Carol Alexander's clear exposition provides valuable insights at every stage. In each of the 13 Chapters, Market Models presents real world illustrations to motivate theoretical developments. The accompanying CD contains spreadsheets with data and programs; this enables you to implement and adapt many of the examples. The pricing of options using normal mixture density functions to model returns; the use of Monte Carlo simulation to calculate the VaR of an options portfolio; modifying the covariance VaR to allow for fat-tailed P&L distributions; the calculation of implied, EWMA and 'historic' volatilities; GARCH volatility term structure forecasting; principal components analysis; and many more are all included. Carol Alexander brings many new insights to the pricing and hedging of options with her understanding of volatility and correlation, and the uncertainty which surrounds these key determinants of option portfolio risk. Modelling the market risk of portfolios is covered where the main focus is on a linear algebraic approach; the covariance matrix and principal component analysis are developed as key tools for the analysis of financial systems. The traditional time series econometric approach is also explained with coverage ranging from the application cointegration to long-short equity hedge funds, to high-frequency data prediction using neural networks and nearest neighbour algorithms. Throughout this text the emphasis is on understanding concepts and implementing solutions. It has been designed to be accessible to a very wide audience: the coverage is comprehensive and complete and the technical appendix makes the book largely self-contained. Market Models: A Guide to Financial Data Analysis is the ideal reference for all those involved in market risk measurement, quantitative trading and investment analysis., This new book is the first of its kind. It provides numerous real world examples to illustrate concepts in an accessible manner. The accompanying CD will allow the reader to implement the examples and adapt them for their own purposes. Carol Alexander provides an authoritative and up-to-date treatment of model development., Market Models provides an authoritative and up-to-date treatment of the use of market data to develop models for financial analysis. Written by a leading figure in the field of financial data analysis, this book is the first of its kind to address the vital techniques required for model selection and development. Model developers are faced with many decisions, about the pricing, the data, the statistical methodology and the calibration and testing of the model prior to implementation. It is important to make the right choices and Carol Alexander's clear exposition provides valuable insights at every stage. In each of the 13 Chapters, Market Models presents real world illustrations to motivate theoretical developments. The accompanying CD contains spreadsheets with data and programs; this enables the reader to implement and adapt many of the examples. The pricing of options using normal mixture density functions to model returns; the use of Monte Carlo simulation to calculate the VaR of an options portfolio; modifying the covariance VaR to allow for fat-tailed P&L distributions; the calculation of implied, EWMA and 'historic' volatilities; GARCH volatility term structure forecasting; principal components analysis; and many more are all included. Market Models: A Guide to Financial Data Analysis is the ideal reference for all those involved in market risk measurement, quantitative trading and investment analysis.
LC Classification Number
HG4515.3.A38 2001

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