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Probability and Statistics for Finance

Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Probability and Statistics for Finance delivers a thorough exploration of how quantitative techniques in probability and statistics are applied within the investment process. Beginning with foundational concepts and advancing to intermediate topics, it covers descriptive statistics, probability theory, inductive statistics, and multivariate analysis, all tailored to the finance sector. Real-world examples help illuminate complex methods, making this an essential guide for understanding and applying quantitative analysis in finance.
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Format: Hardback
$19099
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This book is ideal for finance professionals seeking to deepen their quantitative skills, as well as students preparing for careers in finance who require a solid grounding in applied probability and statistics.

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A comprehensive look at how probability and statistics is applied to the investment process Finance has become increasingly more quantitative, drawing on techniques in probability and statistics that many finance practitioners have not had exposure to before.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

A comprehensive look at how probability and statistics is applied to the investment process.

Finance has become increasingly more quantitative, drawing on techniques in probability and statistics that many finance practitioners have not had exposure to before. In order to keep up, you need a firm understanding of this discipline. Probability and Statistics for Finance addresses this issue by showing you how to apply quantitative methods to portfolios, and in all matter of your practices, in a clear, concise manner. Informative and accessible, this guide starts off with the basics and builds to an intermediate level of mastery.

  • Outlines an array of topics in probability and statistics and how to apply them in the world of finance
  • Includes detailed discussions of descriptive statistics, basic probability theory, inductive statistics, and multivariate analysis
  • Offers real-world illustrations of the issues addressed throughout the text

The authors cover a wide range of topics in this book, which can be used by all finance professionals as well as students aspiring to enter the field of finance.

Series: Frank J. Fabozzi Series

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  • Fixed Income Securities
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  • Probability and Statistics for Finance
    A comprehensive look at how probability and statistics is applied to the investment process. Finance has become increasingly more quantitative, drawing on techniques in probability and statistics that many finance practitioners have not had exposure to before. In order to keep up, you need a firm understanding of this discipline. Probability and Statistics for Finance addresses this issue by showing...
    Hardback
    $19099
    Available
    Ships in 3-4 weeks

Book Details

INFORMATION

ISBN: 9780470400937

Publisher: John Wiley & Sons Inc

Format: Hardback

Date Published: 01 October 2010

Country: United States

Imprint: John Wiley & Sons Inc

Audience: Professional and scholarly

DIMENSIONS

Spine width: 51.0mm

Width: 160.0mm

Height: 236.0mm

Weight: 939g

Pages: 672

About the Author

SVETLOZAR T. RACHEV, PhD, DSC, is Chair Professor at theUniversity of Karlsruhe in the School of Economics and BusinessEngineering, and Professor Emeritus at the University ofCalifornia, Santa Barbara, in the Department of Statistics andApplied Probability. He was cofounder of Bravo Risk ManagementGroup, acquired by FinAnalytica, where he currently serves as ChiefScientist. MARKUS HOCHSTOTTER, PhD, is an Assistant Professor inthe Department of Econometrics and Statistics, University ofKarlsruhe. FRANK J. FABOZZI, PhD, CFA, CPA, is Professor in the Practice ofFinance and Becton Fellow at the Yale School of Management andEditor of the Journal of Portfolio Management. He is an AffiliatedProfessor at the University of Karlsruhe's Institute of Statistics,Econometrics and Mathematical Finance, and is on the AdvisoryCouncil for the Department of Operations Research and FinancialEngineering at Princeton University. SERGIO M. FOCARDI, PhD, is a Professor of Finance at EDHECBusiness School and founding partner of the Paris-based consultingfirm Intertek Group plc.

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    Bayesian Methods in Finance provides a detailed overview of the theory of Bayesian methods and explains their real-world applications to financial modelling. While the principles and concepts explained throughout the book can be used in financial modelling and decision making in general, the authors focus on portfolio management and market risk managementβ€”since these are the areas in finance where Bayesian...
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    A detailed look at equity valuation and portfolio management Equity valuation is a method of valuing stock prices using fundamental analysis to determine the worth of the business and discover investment opportunities. In Equity Valuation and Portfolio Management, Frank J. Fabozzi and Harry M. Markowitz explain the process of equity valuation, provide the necessary mathematical background, and discuss classic and...
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  • Fixed Income Securities
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  • Network Models in Finance
    Expansive overview of theory and practical implementation of networks in investment management Guided by graph theory, Network Models in Finance: Expanding the Tools for Portfolio and Risk Management provides a comprehensive overview of networks in investment management. It delivers strong knowledge of various types of networks, important characteristics, estimation, and their implementation in portfolio and risk management. With insights into...
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