Mehr lesen
Informationen zum Autor SVETLOZAR T. RACHEV, PhD, DSC, is Chair Professor at the University of Karlsruhe in the School of Economics and Business Engineering, and Professor Emeritus at the University of California, Santa Barbara, in the Department of Statistics and Applied Probability. He was cofounder of Bravo Risk Management Group, acquired by FinAnalytica, where he currently serves as Chief Scientist.MARKUS HÖCHSTÖTTER, PhD, is an Assistant Professor in the Department of Econometrics and Statistics, University of Karlsruhe.FRANK J. FABOZZI, PhD, CFA, CPA, is Professor in the Practice of Finance and Becton Fellow at the Yale School of Management and Editor of the Journal of Portfolio Management. He is an Affiliated Professor at the University of Karlsruhe's Institute of Statistics, Econometrics and Mathematical Finance, and is on the Advisory Council for the Department of Operations Research and Financial Engineering at Princeton University.SERGIO M. FOCARDI, PhD, is a Professor of Finance at EDHEC Business School and founding partner of the Paris-based consulting firm Intertek Group plc. Klappentext The recent upheaval of the global financial system has enhanced the need for improved statistical tools for financial modeling and analysis. To fill that need, expert authors Svetlozar Rachev, Markus Höchstötter, Frank Fabozzi, and Sergio Focardi have written Probability and Statistics for Finance.Filled with in-depth insights and practical advice, this book guides readers from the basic elements of probability and statistics to the most advanced topics. Along the way, it covers everything from the application of probability to portfolio management, asset pricing, risk management, and credit risk modeling to probability distributions that deal with extreme events and statistical measures.This book:* Outlines an array of topics in probability and statistics and how to apply them in the world of finance* Offers detailed discussions of descriptive statistics, basic probability theory, inductive statistics, and multivariate analysis* Provides real-world illustrations of the issues addressed throughout the text* And much moreWritten with financial professionals, academics, and aspiring students in mind, Probability and Statistics for Finance has what you need to stay current and succeed in this fast-moving field. Zusammenfassung 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. Inhaltsverzeichnis Preface.About the Authors.CHAPTER 1 Introduction.Probability Versus Statistics.Overview of the Book.PART ONE Descriptive Statistics.CHAPTER 2 Basic Data Analysis.Data Types.Frequency Distributions.Empirical Cumulative Frequency Distribution.Data Classes.Cumulative Frequency Distributions.Concepts Explained in this Chapter (In Order of Presentation).CHAPTER 3 Measures of Location and Spread.Parameters versus Statistics.Center and Location.Variation.Measures of the Linear Transformation.Summary of Measures.Concepts Explained in this Chapter (In Order of Presentation).CHAPTER 4 Graphical Representation of Data.Pie Charts.Bar Chart.Stem and Leaf Diagram.Frequency Histogram.Ogive Diagrams.Box Plot.QQ Plot.Concepts Explained in this Chapter (In Order of Presentation).CHAPTER 5 Multivariate Variables and Distributions.Data Tables and Frequencies.Class Data and Histograms.Marginal Distributions.Graphical Representation.Conditional Distribution.Conditional Parameters and Statistics.Independence.Covariance.Correlation.Contingency Coefficient.Concepts Explained in this Chapter (In Order of Presentation).CHAPTER 6 Introduction to Regression Analysis.The Role of Correlation.Regression Model: Linear Funct...
