Financial Econometrics Mathematics And Statistics

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Financial Econometrics, Mathematics and Statistics

Author : Cheng-Few Lee,Hong-Yi Chen,John Lee
Publisher : Springer
Page : 655 pages
File Size : 47,8 Mb
Release : 2019-06-03
Category : Business & Economics
ISBN : 9781493994298

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Financial Econometrics, Mathematics and Statistics by Cheng-Few Lee,Hong-Yi Chen,John Lee Pdf

This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research. Financial Econometrics, Mathematics, and Statistics introduces tools and methods important for both finance and accounting that assist with asset pricing, corporate finance, options and futures, and conducting financial accounting research. Divided into four parts, the text begins with topics related to regression and financial econometrics. Subsequent sections describe time-series analyses; the role of binomial, multi-nomial, and log normal distributions in option pricing models; and the application of statistics analyses to risk management. The real-world applications and problems offer students a unique insight into such topics as heteroskedasticity, regression, simultaneous equation models, panel data analysis, time series analysis, and generalized method of moments. Written by leading academics in the quantitative finance field, allows readers to implement the principles behind financial econometrics and statistics through real-world applications and problem sets. This textbook will appeal to a less-served market of upper-undergraduate and graduate students in finance, economics, and statistics. ​

Handbook Of Financial Econometrics, Mathematics, Statistics, And Machine Learning (In 4 Volumes)

Author : Cheng Few Lee,John C Lee
Publisher : World Scientific
Page : 5053 pages
File Size : 48,6 Mb
Release : 2020-07-30
Category : Business & Economics
ISBN : 9789811202407

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Handbook Of Financial Econometrics, Mathematics, Statistics, And Machine Learning (In 4 Volumes) by Cheng Few Lee,John C Lee Pdf

This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.

Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning (in 4 Volumes)

Author : Cheng F. Lee,John C Lee
Publisher : Unknown
Page : 128 pages
File Size : 50,9 Mb
Release : 2020
Category : Econometrics
ISBN : 9811202427

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Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning (in 4 Volumes) by Cheng F. Lee,John C Lee Pdf

"This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts. In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook. Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience"--

Financial Econometrics

Author : Oliver Linton
Publisher : Cambridge University Press
Page : 585 pages
File Size : 41,9 Mb
Release : 2019-02-21
Category : Business & Economics
ISBN : 9781107177154

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Financial Econometrics by Oliver Linton Pdf

Presents an up-to-date treatment of the models and methodologies of financial econometrics by one of the world's leading financial econometricians.

Financial Economics and Econometrics

Author : Nikiforos T. Laopodis
Publisher : Routledge
Page : 787 pages
File Size : 49,7 Mb
Release : 2021-12-14
Category : Business & Economics
ISBN : 9781000506082

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Financial Economics and Econometrics by Nikiforos T. Laopodis Pdf

Financial Economics and Econometrics provides an overview of the core topics in theoretical and empirical finance, with an emphasis on applications and interpreting results. Structured in five parts, the book covers financial data and univariate models; asset returns; interest rates, yields and spreads; volatility and correlation; and corporate finance and policy. Each chapter begins with a theory in financial economics, followed by econometric methodologies which have been used to explore the theory. Next, the chapter presents empirical evidence and discusses seminal papers on the topic. Boxes offer insights on how an idea can be applied to other disciplines such as management, marketing and medicine, showing the relevance of the material beyond finance. Readers are supported with plenty of worked examples and intuitive explanations throughout the book, while key takeaways, ‘test your knowledge’ and ‘test your intuition’ features at the end of each chapter also aid student learning. Digital supplements including PowerPoint slides, computer codes supplements, an Instructor’s Manual and Solutions Manual are available for instructors. This textbook is suitable for upper-level undergraduate and graduate courses on financial economics, financial econometrics, empirical finance and related quantitative areas.

Handbook of Financial Econometrics and Statistics

Author : Cheng-Few Lee,John C. Lee
Publisher : Springer
Page : 2897 pages
File Size : 52,9 Mb
Release : 2014-11-14
Category : Business & Economics
ISBN : 1461477514

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Handbook of Financial Econometrics and Statistics by Cheng-Few Lee,John C. Lee Pdf

​The Handbook of Financial Econometrics and Statistics provides, in four volumes and over 100 chapters, a comprehensive overview of the primary methodologies in econometrics and statistics as applied to financial research. Including overviews of key concepts by the editors and in-depth contributions from leading scholars around the world, the Handbook is the definitive resource for both classic and cutting-edge theories, policies, and analytical techniques in the field. Volume 1 (Parts I and II) covers all of the essential theoretical and empirical approaches. Volumes 2, 3, and 4 feature contributed entries that showcase the application of financial econometrics and statistics to such topics as asset pricing, investment and portfolio research, option pricing, mutual funds, and financial accounting research. Throughout, the Handbook offers illustrative case examples and applications, worked equations, and extensive references, and includes both subject and author indices.​

Handbook of Financial Econometrics and Statistics

Author : Cheng-Few Lee,John C. Lee
Publisher : Springer
Page : 0 pages
File Size : 48,6 Mb
Release : 2014-09-28
Category : Business & Economics
ISBN : 1461477492

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Handbook of Financial Econometrics and Statistics by Cheng-Few Lee,John C. Lee Pdf

​The Handbook of Financial Econometrics and Statistics provides, in four volumes and over 100 chapters, a comprehensive overview of the primary methodologies in econometrics and statistics as applied to financial research. Including overviews of key concepts by the editors and in-depth contributions from leading scholars around the world, the Handbook is the definitive resource for both classic and cutting-edge theories, policies, and analytical techniques in the field. Volume 1 (Parts I and II) covers all of the essential theoretical and empirical approaches. Volumes 2, 3, and 4 feature contributed entries that showcase the application of financial econometrics and statistics to such topics as asset pricing, investment and portfolio research, option pricing, mutual funds, and financial accounting research. Throughout, the Handbook offers illustrative case examples and applications, worked equations, and extensive references, and includes both subject and author indices.​

Introduction to the Mathematical and Statistical Foundations of Econometrics

Author : Herman J. Bierens
Publisher : Cambridge University Press
Page : 356 pages
File Size : 55,7 Mb
Release : 2004-12-20
Category : Business & Economics
ISBN : 0521542243

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Introduction to the Mathematical and Statistical Foundations of Econometrics by Herman J. Bierens Pdf

This book is intended for use in a rigorous introductory PhD level course in econometrics.

Applied Financial Econometrics

Author : Moinak Maiti
Publisher : Springer Nature
Page : 287 pages
File Size : 50,6 Mb
Release : 2021-08-31
Category : Business & Economics
ISBN : 9789811640636

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Applied Financial Econometrics by Moinak Maiti Pdf

This textbook gives students an approachable, down to earth resource for the study of financial econometrics. While the subject can be intimidating, primarily due to the mathematics and modelling involved, it is rewarding for students of finance and can be taught and learned in a straightforward way. This book, going from basics to high level concepts, offers knowledge of econometrics that is intended to be used with confidence in the real world. This book will be beneficial for both students and tutors who are associated with econometrics subjects at any level.

Introductory Econometrics for Finance

Author : Chris Brooks
Publisher : Cambridge University Press
Page : 583 pages
File Size : 55,8 Mb
Release : 2008-05-22
Category : Business & Economics
ISBN : 9781139472302

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Introductory Econometrics for Finance by Chris Brooks Pdf

This best-selling textbook addresses the need for an introduction to econometrics specifically written for finance students. Key features: • Thoroughly revised and updated, including two new chapters on panel data and limited dependent variable models • Problem-solving approach assumes no prior knowledge of econometrics emphasising intuition rather than formulae, giving students the skills and confidence to estimate and interpret models • Detailed examples and case studies from finance show students how techniques are applied in real research • Sample instructions and output from the popular computer package EViews enable students to implement models themselves and understand how to interpret results • Gives advice on planning and executing a project in empirical finance, preparing students for using econometrics in practice • Covers important modern topics such as time-series forecasting, volatility modelling, switching models and simulation methods • Thoroughly class-tested in leading finance schools. Bundle with EViews student version 6 available. Please contact us for more details.

Financial Statistics and Mathematical Finance

Author : Ansgar Steland
Publisher : John Wiley & Sons
Page : 355 pages
File Size : 44,5 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.

Financial Mathematics, Volatility and Covariance Modelling

Author : Julien Chevallier,Stéphane Goutte,David Guerreiro,Sophie Saglio,Bilel Sanhaji
Publisher : Routledge
Page : 381 pages
File Size : 40,9 Mb
Release : 2019-06-28
Category : Business & Economics
ISBN : 9781351669092

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Financial Mathematics, Volatility and Covariance Modelling by Julien Chevallier,Stéphane Goutte,David Guerreiro,Sophie Saglio,Bilel Sanhaji Pdf

This book provides an up-to-date series of advanced chapters on applied financial econometric techniques pertaining the various fields of commodities finance, mathematics & stochastics, international macroeconomics and financial econometrics. Financial Mathematics, Volatility and Covariance Modelling: Volume 2 provides a key repository on the current state of knowledge, the latest debates and recent literature on financial mathematics, volatility and covariance modelling. The first section is devoted to mathematical finance, stochastic modelling and control optimization. Chapters explore the recent financial crisis, the increase of uncertainty and volatility, and propose an alternative approach to deal with these issues. The second section covers financial volatility and covariance modelling and explores proposals for dealing with recent developments in financial econometrics This book will be useful to students and researchers in applied econometrics; academics and students seeking convenient access to an unfamiliar area. It will also be of great interest established researchers seeking a single repository on the current state of knowledge, current debates and relevant literature.

Financial Econometrics

Author : Peijie Wang
Publisher : Routledge
Page : 336 pages
File Size : 47,5 Mb
Release : 2008-09-19
Category : Business & Economics
ISBN : 9781134091454

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Financial Econometrics by Peijie Wang Pdf

This book provides an essential toolkit for all students wishing to know more about the modelling and analysis of financial data. Applications of econometric techniques are becoming increasingly common in the world of finance and this second edition of an established text covers the following key themes:- unit roots, cointegration and other develop

Financial Econometrics

Author : Svetlozar T. Rachev,Stefan Mittnik,Frank J. Fabozzi,Sergio M. Focardi,Teo Jašić
Publisher : John Wiley & Sons
Page : 560 pages
File Size : 41,9 Mb
Release : 2007-03-22
Category : Business & Economics
ISBN : 9780470121528

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Financial Econometrics by Svetlozar T. Rachev,Stefan Mittnik,Frank J. Fabozzi,Sergio M. Focardi,Teo Jašić Pdf

A comprehensive guide to financial econometrics Financial econometrics is a quest for models that describe financial time series such as prices, returns, interest rates, and exchange rates. In Financial Econometrics, readers will be introduced to this growing discipline and the concepts and theories associated with it, including background material on probability theory and statistics. The experienced author team uses real-world data where possible and brings in the results of published research provided by investment banking firms and journals. Financial Econometrics clearly explains the techniques presented and provides illustrative examples for the topics discussed. Svetlozar T. Rachev, PhD (Karlsruhe, Germany) is currently Chair-Professor at the University of Karlsruhe. Stefan Mittnik, PhD (Munich, Germany) is Professor of Financial Econometrics at the University of Munich. Frank J. Fabozzi, PhD, CFA, CFP (New Hope, PA) is an adjunct professor of Finance at Yale University’s School of Management. Sergio M. Focardi (Paris, France) is a founding partner of the Paris-based consulting firm The Intertek Group. Teo Jasic, PhD, (Frankfurt, Germany) is a senior manager with a leading international management consultancy firm in Frankfurt.

The Basics of Financial Econometrics

Author : Frank J. Fabozzi,Sergio M. Focardi,Svetlozar T. Rachev,Bala G. Arshanapalli
Publisher : John Wiley & Sons
Page : 448 pages
File Size : 43,8 Mb
Release : 2014-03-04
Category : Business & Economics
ISBN : 9781118727232

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The Basics of Financial Econometrics by Frank J. Fabozzi,Sergio M. Focardi,Svetlozar T. Rachev,Bala G. Arshanapalli Pdf

An accessible guide to the growing field of financial econometrics As finance and financial products have become more complex, financial econometrics has emerged as a fast-growing field and necessary foundation for anyone involved in quantitative finance. The techniques of financial econometrics facilitate the development and management of new financial instruments by providing models for pricing and risk assessment. In short, financial econometrics is an indispensable component to modern finance. The Basics of Financial Econometrics covers the commonly used techniques in the field without using unnecessary mathematical/statistical analysis. It focuses on foundational ideas and how they are applied. Topics covered include: regression models, factor analysis, volatility estimations, and time series techniques. Covers the basics of financial econometrics—an important topic in quantitative finance Contains several chapters on topics typically not covered even in basic books on econometrics such as model selection, model risk, and mitigating model risk Geared towards both practitioners and finance students who need to understand this dynamic discipline, but may not have advanced mathematical training, this book is a valuable resource on a topic of growing importance.