Author: Dongcheol Kim
Publisher:
ISBN:
Category : Heteroscedasticity
Languages : en
Pages : 50
Book Description
Asset Price Dynamics, Volatility, and Prediction
Author: Stephen J. Taylor
Publisher: Princeton University Press
ISBN: 1400839254
Category : Business & Economics
Languages : en
Pages : 544
Book Description
This book shows how current and recent market prices convey information about the probability distributions that govern future prices. Moving beyond purely theoretical models, Stephen Taylor applies methods supported by empirical research of equity and foreign exchange markets to show how daily and more frequent asset prices, and the prices of option contracts, can be used to construct and assess predictions about future prices, their volatility, and their probability distributions. Stephen Taylor provides a comprehensive introduction to the dynamic behavior of asset prices, relying on finance theory and statistical evidence. He uses stochastic processes to define mathematical models for price dynamics, but with less mathematics than in alternative texts. The key topics covered include random walk tests, trading rules, ARCH models, stochastic volatility models, high-frequency datasets, and the information that option prices imply about volatility and distributions. Asset Price Dynamics, Volatility, and Prediction is ideal for students of economics, finance, and mathematics who are studying financial econometrics, and will enable researchers to identify and apply appropriate models and methods. It will likewise be a valuable resource for quantitative analysts, fund managers, risk managers, and investors who seek realistic expectations about future asset prices and the risks to which they are exposed.
Publisher: Princeton University Press
ISBN: 1400839254
Category : Business & Economics
Languages : en
Pages : 544
Book Description
This book shows how current and recent market prices convey information about the probability distributions that govern future prices. Moving beyond purely theoretical models, Stephen Taylor applies methods supported by empirical research of equity and foreign exchange markets to show how daily and more frequent asset prices, and the prices of option contracts, can be used to construct and assess predictions about future prices, their volatility, and their probability distributions. Stephen Taylor provides a comprehensive introduction to the dynamic behavior of asset prices, relying on finance theory and statistical evidence. He uses stochastic processes to define mathematical models for price dynamics, but with less mathematics than in alternative texts. The key topics covered include random walk tests, trading rules, ARCH models, stochastic volatility models, high-frequency datasets, and the information that option prices imply about volatility and distributions. Asset Price Dynamics, Volatility, and Prediction is ideal for students of economics, finance, and mathematics who are studying financial econometrics, and will enable researchers to identify and apply appropriate models and methods. It will likewise be a valuable resource for quantitative analysts, fund managers, risk managers, and investors who seek realistic expectations about future asset prices and the risks to which they are exposed.
Handbook Of Financial Econometrics, Mathematics, Statistics, And Machine Learning (In 4 Volumes)
Author: Cheng Few Lee
Publisher: World Scientific
ISBN: 9811202400
Category : Business & Economics
Languages : en
Pages : 5053
Book Description
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.
Publisher: World Scientific
ISBN: 9811202400
Category : Business & Economics
Languages : en
Pages : 5053
Book Description
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.
Wealth Forever
Author: Sarkis J. Khoury
Publisher: World Scientific
ISBN: 9789812384447
Category : Business & Economics
Languages : en
Pages : 580
Book Description
This book is the first of its kind in providing, simultaneously and comprehensively, historical, institutional and theoretical foundations for developments in the stock market. It debunks many a myth about stock price behavior and the valuation of stocks. The traditional valuation models are tested and shown to be often weak and unreliable, especially when applied to the valuation of technology stocks. New paradigms are suggested. The authors seek to answer many questions about the stock market: Why invest in stocks, how to invest in stocks, how to value stocks, how to change the risk profile of portfolios, how to analyze the results of stock investing, and how to minimize estate taxes and maximize control, even after death. All aspects of the stock market are covered, including the basic tools that will enable the reader to understand the stock market basics, the history of stock market performance in the US and overseas, the various ways to value stocks and to assess their risk, and the variousmethods that have been proposed to capitalize on the inefficiencies of the stock market, be they temporary or permanent. The book also deals with the derivative markets for stocks.
Publisher: World Scientific
ISBN: 9789812384447
Category : Business & Economics
Languages : en
Pages : 580
Book Description
This book is the first of its kind in providing, simultaneously and comprehensively, historical, institutional and theoretical foundations for developments in the stock market. It debunks many a myth about stock price behavior and the valuation of stocks. The traditional valuation models are tested and shown to be often weak and unreliable, especially when applied to the valuation of technology stocks. New paradigms are suggested. The authors seek to answer many questions about the stock market: Why invest in stocks, how to invest in stocks, how to value stocks, how to change the risk profile of portfolios, how to analyze the results of stock investing, and how to minimize estate taxes and maximize control, even after death. All aspects of the stock market are covered, including the basic tools that will enable the reader to understand the stock market basics, the history of stock market performance in the US and overseas, the various ways to value stocks and to assess their risk, and the variousmethods that have been proposed to capitalize on the inefficiencies of the stock market, be they temporary or permanent. The book also deals with the derivative markets for stocks.
Statistics in Social Science and Agricultural Research
Author: Debasis Bhattacharya (Ph. D.)
Publisher: Concept Publishing Company
ISBN: 9788180698224
Category : Agriculture
Languages : en
Pages : 312
Book Description
Papers presented at a mini-meeting-cum-workshop held at Visva-Bharati University with support from Institute of Mathematical Statistics.
Publisher: Concept Publishing Company
ISBN: 9788180698224
Category : Agriculture
Languages : en
Pages : 312
Book Description
Papers presented at a mini-meeting-cum-workshop held at Visva-Bharati University with support from Institute of Mathematical Statistics.
Forecasting Volatility in the Financial Markets
Author: Stephen Satchell
Publisher: Elsevier
ISBN: 0080494978
Category : Business & Economics
Languages : en
Pages : 417
Book Description
'Forecasting Volatility in the Financial Markets' assumes that the reader has a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting edge modelling and forecasting techniques. It then uses a technical survey to explain the different ways to measure risk and define the different models of volatility and return.The editors have brought together a set of contributors that give the reader a firm grounding in relevant theory and research and an insight into the cutting edge techniques applied in this field of the financial markets.This book is of particular relevance to anyone who wants to understand dynamic areas of the financial markets.* Traders will profit by learning to arbitrage opportunities and modify their strategies to account for volatility.* Investment managers will be able to enhance their asset allocation strategies with an improved understanding of likely risks and returns.* Risk managers will understand how to improve their measurement systems and forecasts, enhancing their risk management models and controls.* Derivative specialists will gain an in-depth understanding of volatility that they can use to improve their pricing models.* Students and academics will find the collection of papers an invaluable overview of this field.This book is of particular relevance to those wanting to understand the dynamic areas of volatility modeling and forecasting of the financial marketsProvides the latest research and techniques for Traders, Investment Managers, Risk Managers and Derivative Specialists wishing to manage their downside risk exposure Current research on the key forecasting methods to use in risk management, including two new chapters
Publisher: Elsevier
ISBN: 0080494978
Category : Business & Economics
Languages : en
Pages : 417
Book Description
'Forecasting Volatility in the Financial Markets' assumes that the reader has a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting edge modelling and forecasting techniques. It then uses a technical survey to explain the different ways to measure risk and define the different models of volatility and return.The editors have brought together a set of contributors that give the reader a firm grounding in relevant theory and research and an insight into the cutting edge techniques applied in this field of the financial markets.This book is of particular relevance to anyone who wants to understand dynamic areas of the financial markets.* Traders will profit by learning to arbitrage opportunities and modify their strategies to account for volatility.* Investment managers will be able to enhance their asset allocation strategies with an improved understanding of likely risks and returns.* Risk managers will understand how to improve their measurement systems and forecasts, enhancing their risk management models and controls.* Derivative specialists will gain an in-depth understanding of volatility that they can use to improve their pricing models.* Students and academics will find the collection of papers an invaluable overview of this field.This book is of particular relevance to those wanting to understand the dynamic areas of volatility modeling and forecasting of the financial marketsProvides the latest research and techniques for Traders, Investment Managers, Risk Managers and Derivative Specialists wishing to manage their downside risk exposure Current research on the key forecasting methods to use in risk management, including two new chapters
Journal of Empirical Finance
Author:
Publisher:
ISBN:
Category : Econometrics
Languages : en
Pages : 1350
Book Description
Publisher:
ISBN:
Category : Econometrics
Languages : en
Pages : 1350
Book Description
Missing Data Methods
Author: David M. Drukker
Publisher: Emerald Group Publishing
ISBN: 1780525265
Category : Business & Economics
Languages : en
Pages : 262
Book Description
Part of the "Advances in Econometrics" series, this title contains chapters covering topics such as: Missing-Data Imputation in Nonstationary Panel Data Models; Markov Switching Models in Empirical Finance; Bayesian Analysis of Multivariate Sample Selection Models Using Gaussian Copulas; and, Consistent Estimation and Orthogonality.
Publisher: Emerald Group Publishing
ISBN: 1780525265
Category : Business & Economics
Languages : en
Pages : 262
Book Description
Part of the "Advances in Econometrics" series, this title contains chapters covering topics such as: Missing-Data Imputation in Nonstationary Panel Data Models; Markov Switching Models in Empirical Finance; Bayesian Analysis of Multivariate Sample Selection Models Using Gaussian Copulas; and, Consistent Estimation and Orthogonality.
International Bibliography of Economics 1994
Author: British Library of Political and Economic Science at the London School of Economics
Publisher: Psychology Press
ISBN: 9780415127837
Category : Business & Economics
Languages : en
Pages : 658
Book Description
The IBSS is the essential tool for librarians, university departments, research institutions and any public or private institutions whose work requires access to up-to-date and comprehensive knowledge of the social sciences.
Publisher: Psychology Press
ISBN: 9780415127837
Category : Business & Economics
Languages : en
Pages : 658
Book Description
The IBSS is the essential tool for librarians, university departments, research institutions and any public or private institutions whose work requires access to up-to-date and comprehensive knowledge of the social sciences.
Financial Econometrics, Mathematics and Statistics
Author: Cheng-Few Lee
Publisher: Springer
ISBN: 1493994298
Category : Business & Economics
Languages : en
Pages : 657
Book Description
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.
Publisher: Springer
ISBN: 1493994298
Category : Business & Economics
Languages : en
Pages : 657
Book Description
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.
Studies in Accounting and Finance: Contemporary Issues and Debates
Author: Basu and Saha
Publisher: Pearson Education India
ISBN: 9332501084
Category : Accounting
Languages : en
Pages : 300
Book Description
Studies in Accounting and Finance: Contemporary Issues and Debates, useful for business executives, accounting and finance practitioners, researchers, and students discusses contemporary issues in accounting and finance. Topics discussed include globalization of accounting standards, accounting for financial instruments, fair value accounting, accounting for intangibles, corporate governance and accounting, accounting for social and environmental costs, accounting for employee stock option plans, obstacles to the development of high-quality accounting standards, small company reporting, accounting ethics, technology reporting, and global economic meltdown.
Publisher: Pearson Education India
ISBN: 9332501084
Category : Accounting
Languages : en
Pages : 300
Book Description
Studies in Accounting and Finance: Contemporary Issues and Debates, useful for business executives, accounting and finance practitioners, researchers, and students discusses contemporary issues in accounting and finance. Topics discussed include globalization of accounting standards, accounting for financial instruments, fair value accounting, accounting for intangibles, corporate governance and accounting, accounting for social and environmental costs, accounting for employee stock option plans, obstacles to the development of high-quality accounting standards, small company reporting, accounting ethics, technology reporting, and global economic meltdown.