Statistics In Finance

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Statistics for Finance

Author : Erik Lindström,Henrik Madsen,Jan Nygaard Nielsen
Publisher : CRC Press
Page : 384 pages
File Size : 50,6 Mb
Release : 2018-09-03
Category : Business & Economics
ISBN : 9781315362557

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Statistics for Finance by Erik Lindström,Henrik Madsen,Jan Nygaard Nielsen Pdf

Statistics for Finance develops students’ professional skills in statistics with applications in finance. Developed from the authors’ courses at the Technical University of Denmark and Lund University, the text bridges the gap between classical, rigorous treatments of financial mathematics that rarely connect concepts to data and books on econometrics and time series analysis that do not cover specific problems related to option valuation. The book discusses applications of financial derivatives pertaining to risk assessment and elimination. The authors cover various statistical and mathematical techniques, including linear and nonlinear time series analysis, stochastic calculus models, stochastic differential equations, Itō’s formula, the Black–Scholes model, the generalized method-of-moments, and the Kalman filter. They explain how these tools are used to price financial derivatives, identify interest rate models, value bonds, estimate parameters, and much more. This textbook will help students understand and manage empirical research in financial engineering. It includes examples of how the statistical tools can be used to improve value-at-risk calculations and other issues. In addition, end-of-chapter exercises develop students’ financial reasoning skills.

Statistics for Finance

Author : Erik Lindström,Henrik Madsen,Jan Nygaard Nielsen
Publisher : CRC Press
Page : 384 pages
File Size : 47,9 Mb
Release : 2016-04-21
Category : Business & Economics
ISBN : 9781498785891

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Statistics for Finance by Erik Lindström,Henrik Madsen,Jan Nygaard Nielsen Pdf

Statistics for Finance develops students’ professional skills in statistics with applications in finance. Developed from the authors’ courses at the Technical University of Denmark and Lund University, the text bridges the gap between classical, rigorous treatments of financial mathematics that rarely connect concepts to data and books on econometrics and time series analysis that do not cover specific problems related to option valuation. The book discusses applications of financial derivatives pertaining to risk assessment and elimination. The authors cover various statistical and mathematical techniques, including linear and nonlinear time series analysis, stochastic calculus models, stochastic differential equations, Itō’s formula, the Black–Scholes model, the generalized method-of-moments, and the Kalman filter. They explain how these tools are used to price financial derivatives, identify interest rate models, value bonds, estimate parameters, and much more. This textbook will help students understand and manage empirical research in financial engineering. It includes examples of how the statistical tools can be used to improve value-at-risk calculations and other issues. In addition, end-of-chapter exercises develop students’ financial reasoning skills.

A Course on Statistics for Finance

Author : Stanley L. Sclove
Publisher : CRC Press
Page : 281 pages
File Size : 41,5 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781439892541

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A Course on Statistics for Finance by Stanley L. Sclove Pdf

Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The author introduces regression analysis, time series analysis, and multivariate analysis step by step using models and methods from finance. The book begins with a review of basic statistics, including descriptive statistics, kinds of variables, and types of data sets. It then discusses regression analysis in general terms and in terms of financial investment models, such as the capital asset pricing model and the Fama/French model. It also describes mean-variance portfolio analysis and concludes with a focus on time series analysis. Providing the connection between elementary statistics courses and quantitative finance courses, this text helps both existing and future quants improve their data analysis skills and better understand the modeling process.

Statistics of Financial Markets

Author : Szymon Borak,Wolfgang Karl Härdle,Brenda López-Cabrera
Publisher : Springer Science & Business Media
Page : 246 pages
File Size : 45,7 Mb
Release : 2013-01-11
Category : Business & Economics
ISBN : 9783642339295

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Statistics of Financial Markets by Szymon Borak,Wolfgang Karl Härdle,Brenda López-Cabrera Pdf

Practice makes perfect. Therefore the best method of mastering models is working with them. This book contains a large collection of exercises and solutions which will help explain the statistics of financial markets. These practical examples are carefully presented and provide computational solutions to specific problems, all of which are calculated using R and Matlab. This study additionally looks at the concept of corresponding Quantlets, the name given to these program codes and which follow the name scheme SFSxyz123. The book is divided into three main parts, in which option pricing, time series analysis and advanced quantitative statistical techniques in finance is thoroughly discussed. The authors have overall successfully created the ideal balance between theoretical presentation and practical challenges.

Statistics and Data Analysis for Financial Engineering

Author : David Ruppert,David S. Matteson
Publisher : Springer
Page : 719 pages
File Size : 40,8 Mb
Release : 2015-04-21
Category : Business & Economics
ISBN : 9781493926145

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Statistics and Data Analysis for Financial Engineering by David Ruppert,David S. Matteson Pdf

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.

Probability and Statistics for Finance

Author : Svetlozar T. Rachev,Markus Hoechstoetter,Frank J. Fabozzi,Sergio M. Focardi
Publisher : John Wiley & Sons
Page : 676 pages
File Size : 48,5 Mb
Release : 2010-07-30
Category : Business & Economics
ISBN : 9780470906323

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Probability and Statistics for Finance by Svetlozar T. Rachev,Markus Hoechstoetter,Frank J. Fabozzi,Sergio M. Focardi Pdf

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.

Statistics for Business and Financial Economics

Author : Cheng F. Lee,John C. Lee,Alice C. Lee
Publisher : World Scientific
Page : 1124 pages
File Size : 52,7 Mb
Release : 2000
Category : Business & Economics
ISBN : 9810234856

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Statistics for Business and Financial Economics by Cheng F. Lee,John C. Lee,Alice C. Lee Pdf

This text integrates various statistical techniques with concepts from business, economics and finance, and demonstrates the power of statistical methods in the real world of business. This edition places more emphasis on finance, economics and accounting concepts with updated sample data.

Financial Statistics and Data Analytics

Author : Shuangzhe Li,Milind Sathye
Publisher : MDPI
Page : 232 pages
File Size : 44,6 Mb
Release : 2021-03-02
Category : Business & Economics
ISBN : 9783039439751

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Financial Statistics and Data Analytics by Shuangzhe Li,Milind Sathye Pdf

Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical and machine learning techniques can help. Accordingly, finance, statistics, and data analytics go hand in hand. The purpose of this book is to bring the state-of-art research in these three areas to the fore and especially research that juxtaposes these three.

Financial Statistics and Mathematical Finance

Author : Ansgar Steland
Publisher : John Wiley & Sons
Page : 355 pages
File Size : 42,9 Mb
Release : 2012-06-21
Category : Business & Economics
ISBN : 9781118316566

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Financial Statistics and Mathematical Finance by Ansgar Steland Pdf

Mathematical finance has grown into a huge area of research which requires a lot of care and a large number of sophisticated mathematical tools. Mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, it considers various aspects of the application of statistical methods in finance and illustrates some of the many ways that statistical tools are used in financial applications. Financial Statistics and Mathematical Finance: Provides an introduction to the basics of financial statistics and mathematical finance. Explains the use and importance of statistical methods in econometrics and financial engineering. Illustrates the importance of derivatives and calculus to aid understanding in methods and results. Looks at advanced topics such as martingale theory, stochastic processes and stochastic integration. Features examples throughout to illustrate applications in mathematical and statistical finance. Is supported by an accompanying website featuring R code and data sets. Financial Statistics and Mathematical Finance introduces the financial methodology and the relevant mathematical tools in a style that is both mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, both graduate students and researchers in statistics, finance, econometrics and business administration will benefit from this book.

Statistics in Finance

Author : David J. Hand,Saul D. Jacka
Publisher : John Wiley & Sons
Page : 360 pages
File Size : 50,7 Mb
Release : 1998-03-04
Category : Mathematics
ISBN : UOM:39015040133244

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Statistics in Finance by David J. Hand,Saul D. Jacka Pdf

Describes aspects of the application of statistical methods in finance, and aims to attract statisticians to this area by illustrating some of the many ways in which statistical tools are used in financial applications. Statisticians will be stimulated to learn more about the kinds of models and techniques outlined in this book.

Statistics of Financial Markets

Author : Jürgen Franke,Christian Matthias Hafner
Publisher : Springer Science & Business Media
Page : 425 pages
File Size : 40,6 Mb
Release : 2013-03-09
Category : Business & Economics
ISBN : 9783662100264

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Statistics of Financial Markets by Jürgen Franke,Christian Matthias Hafner Pdf

Financial Engineers

Statistical Analysis of Financial Data in S-Plus

Author : René Carmona
Publisher : Springer Science & Business Media
Page : 456 pages
File Size : 54,7 Mb
Release : 2006-04-18
Category : Business & Economics
ISBN : 9780387218243

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Statistical Analysis of Financial Data in S-Plus by René Carmona Pdf

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 Tools for Finance and Insurance

Author : Pavel Čižek,Wolfgang Härdle,Rafał Weron
Publisher : Springer Science & Business Media
Page : 534 pages
File Size : 48,8 Mb
Release : 2005
Category : Business & Economics
ISBN : 3540221891

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Statistical Tools for Finance and Insurance by Pavel Čižek,Wolfgang Härdle,Rafał Weron Pdf

Statistical Tools in Finance and Insurance presents ready-to-use solutions, theoretical developments and method construction for many practical problems in quantitative finance and insurance. Written by practitioners and leading academics in the field, this book offers a unique combination of topics from which every market analyst and risk manager will benefit. Covering topics such as heavy tailed distributions, implied trinomial trees, support vector machines, valuation of mortgage-backed securities, pricing of CAT bonds, simulation of risk processes and ruin probability approximation, the book does not only offer practitioners insight into new methods for their applications, but it also gives theoreticians insight into the applicability of the stochastic technology. Additionally, the book provides the tools, instruments and (online) algorithms for recent techniques in quantitative finance and modern treatments in insurance calculations. Written in an accessible and engaging style, this self-instructional book makes a good use of extensive examples and full explanations. Thenbsp;design of the text links theory and computational tools in an innovative way. All Quantlets for the calculation of examples given in the text are supported by the academic edition of XploRe and may be executed via XploRe Quantlet Server (XQS). The downloadable electronic edition of the book enables one to run, modify, and enhance all Quantlets on the spot.

Probability and Statistics for Finance

Author : Svetlozar T. Rachev,Markus Hoechstoetter,Frank J. Fabozzi,Sergio M. Focardi
Publisher : John Wiley & Sons
Page : 676 pages
File Size : 48,5 Mb
Release : 2010-09-07
Category : Business & Economics
ISBN : 9780470400937

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Probability and Statistics for Finance by Svetlozar T. Rachev,Markus Hoechstoetter,Frank J. Fabozzi,Sergio M. Focardi Pdf

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.

Mathematics and Statistics for Financial Risk Management

Author : Michael B. Miller
Publisher : John Wiley & Sons
Page : 341 pages
File Size : 51,6 Mb
Release : 2013-12-31
Category : Business & Economics
ISBN : 9781118750292

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Mathematics and Statistics for Financial Risk Management by Michael B. Miller Pdf

Mathematics and Statistics for Financial Risk Management is a practical guide to modern financial risk management for both practitioners and academics. Now in its second edition with more topics, more sample problems and more real world examples, this popular guide to financial risk management introduces readers to practical quantitative techniques for analyzing and managing financial risk. In a concise and easy-to-read style, each chapter introduces a different topic in mathematics or statistics. As different techniques are introduced, sample problems and application sections demonstrate how these techniques can be applied to actual risk management problems. Exercises at the end of each chapter and the accompanying solutions at the end of the book allow readers to practice the techniques they are learning and monitor their progress. A companion Web site includes interactive Excel spreadsheet examples and templates. Mathematics and Statistics for Financial Risk Management is an indispensable reference for today’s financial risk professional.