Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning

ISBN 10: 9811202389 / ISBN 13: 9789811202384

Published by World Scientific Pub Co Inc, 2020

About this Item

Seller Inventory # 378586109

Bibliographic Details

• Title: Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning
• Publisher: World Scientific Pub Co Inc
• Publication Date: 2020
• Language: English
• ISBN 10: 9811202389
• ISBN 13: 9789811202384
• Binding: Hardcover
• Condition: New

About this title

Synopsis

This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and technology. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and stress test for financial institutions. This handbook discusses these methods including single equation multiple regression, simultaneous equation regression, panel data analysis among others. It also covers statistical distributions such as binomial distribution and log normal distribution in lieu of their application in portfolio theory and management as well as options and futures researches. 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.