Handbook Of Financial Econometrics, Mathematics, Statistics, And Machine Learning (In 4 Volumes)
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€2,225.80
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B01=Alice C Lee
B01=Cheng-few Lee
B01=John C Lee
Big Data
Category=KCH
Category=KFF
Cluster Effect
COP=Singapore
Covariance Regression
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Dynamic Capital Budgeting
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eq_business-finance-law
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Financial Econometrics
Financial Mathematics
Financial Statistics
Financial Technology
Format=BB
Format_Hardback
Language_Others
Machine Learning
Option Bound
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Price_€100 and above
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Product details
- ISBN 9789811202384
- Format: Hardback
- Publication Date: 23 Sep 2020
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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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.
