Author: Stephen Satchell
Publisher: Elsevier
ISBN: 0080550673
Category : Business & Economics
Languages : en
Pages : 299
Book Description
Forecasting returns is as important as forecasting volatility in multiple areas of finance. This topic, essential to practitioners, is also studied by academics. In this new book, Dr Stephen Satchell brings together a collection of leading thinkers and practitioners from around the world who address this complex problem using the latest quantitative techniques.*Forecasting expected returns is an essential aspect of finance and highly technical *The first collection of papers to present new and developing techniques *International authors present both academic and practitioner perspectives
Forecasting Expected Returns in the Financial Markets
Author: Stephen Satchell
Publisher: Elsevier
ISBN: 0080550673
Category : Business & Economics
Languages : en
Pages : 299
Book Description
Forecasting returns is as important as forecasting volatility in multiple areas of finance. This topic, essential to practitioners, is also studied by academics. In this new book, Dr Stephen Satchell brings together a collection of leading thinkers and practitioners from around the world who address this complex problem using the latest quantitative techniques.*Forecasting expected returns is an essential aspect of finance and highly technical *The first collection of papers to present new and developing techniques *International authors present both academic and practitioner perspectives
Publisher: Elsevier
ISBN: 0080550673
Category : Business & Economics
Languages : en
Pages : 299
Book Description
Forecasting returns is as important as forecasting volatility in multiple areas of finance. This topic, essential to practitioners, is also studied by academics. In this new book, Dr Stephen Satchell brings together a collection of leading thinkers and practitioners from around the world who address this complex problem using the latest quantitative techniques.*Forecasting expected returns is an essential aspect of finance and highly technical *The first collection of papers to present new and developing techniques *International authors present both academic and practitioner perspectives
The Text Mining Handbook
Author: Ronen Feldman
Publisher: Cambridge University Press
ISBN: 0521836573
Category : Computers
Languages : en
Pages : 423
Book Description
Publisher description
Publisher: Cambridge University Press
ISBN: 0521836573
Category : Computers
Languages : en
Pages : 423
Book Description
Publisher description
Technical Analysis of the Financial Markets
Author: John J. Murphy
Publisher: Penguin
ISBN: 0735200661
Category : Business & Economics
Languages : en
Pages : 579
Book Description
John J. Murphy has updated his landmark bestseller Technical Analysis of the Futures Markets, to include all of the financial markets. This outstanding reference has already taught thousands of traders the concepts of technical analysis and their application in the futures and stock markets. Covering the latest developments in computer technology, technical tools, and indicators, the second edition features new material on candlestick charting, intermarket relationships, stocks and stock rotation, plus state-of-the-art examples and figures. From how to read charts to understanding indicators and the crucial role technical analysis plays in investing, readers gain a thorough and accessible overview of the field of technical analysis, with a special emphasis on futures markets. Revised and expanded for the demands of today's financial world, this book is essential reading for anyone interested in tracking and analyzing market behavior.
Publisher: Penguin
ISBN: 0735200661
Category : Business & Economics
Languages : en
Pages : 579
Book Description
John J. Murphy has updated his landmark bestseller Technical Analysis of the Futures Markets, to include all of the financial markets. This outstanding reference has already taught thousands of traders the concepts of technical analysis and their application in the futures and stock markets. Covering the latest developments in computer technology, technical tools, and indicators, the second edition features new material on candlestick charting, intermarket relationships, stocks and stock rotation, plus state-of-the-art examples and figures. From how to read charts to understanding indicators and the crucial role technical analysis plays in investing, readers gain a thorough and accessible overview of the field of technical analysis, with a special emphasis on futures markets. Revised and expanded for the demands of today's financial world, this book is essential reading for anyone interested in tracking and analyzing market behavior.
The Law and Economics of Irrational Behavior
Author: Francesco Parisi
Publisher: Stanford University Press
ISBN: 9780804751445
Category : Business & Economics
Languages : en
Pages : 634
Book Description
This collection of essays explores the most relevant developments at the interface of economics and psychology, giving special attention to models of irrational behavior, and draws the relevant implications of such models for the design of legal rules and institutions. The application of economic models of irrational behavior to law is especially challenging because specific departures from rational behavior differ markedly from one another. Furthermore, the analytical and deductive instruments of economic theory have to be reshaped to deal with the fragmented and heterogeneous findings of psychological research, turning towards a more experimental and inductive methodology. This volume brings together pioneering scholars in this area, along with some of the most exciting developments in the field of legal and economic theory. Areas of application include criminal law and sentencing, tort law, contract law, corporate law, and financial markets.
Publisher: Stanford University Press
ISBN: 9780804751445
Category : Business & Economics
Languages : en
Pages : 634
Book Description
This collection of essays explores the most relevant developments at the interface of economics and psychology, giving special attention to models of irrational behavior, and draws the relevant implications of such models for the design of legal rules and institutions. The application of economic models of irrational behavior to law is especially challenging because specific departures from rational behavior differ markedly from one another. Furthermore, the analytical and deductive instruments of economic theory have to be reshaped to deal with the fragmented and heterogeneous findings of psychological research, turning towards a more experimental and inductive methodology. This volume brings together pioneering scholars in this area, along with some of the most exciting developments in the field of legal and economic theory. Areas of application include criminal law and sentencing, tort law, contract law, corporate law, and financial markets.
Financial Markets and the Macroeconomy
Author: Carl Chiarella
Publisher: Routledge
ISBN: 1135984506
Category : Biography & Autobiography
Languages : en
Pages : 513
Book Description
This important new book from a group of Keynesian, but nonetheless technically-oriented economists explores one of the dominant paradigms in financial economics: the ‘intertemporal general equilibrium approach’.
Publisher: Routledge
ISBN: 1135984506
Category : Biography & Autobiography
Languages : en
Pages : 513
Book Description
This important new book from a group of Keynesian, but nonetheless technically-oriented economists explores one of the dominant paradigms in financial economics: the ‘intertemporal general equilibrium approach’.
Data Science for Economics and Finance
Author: Sergio Consoli
Publisher: Springer Nature
ISBN: 3030668916
Category : Application software
Languages : en
Pages : 357
Book Description
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
Publisher: Springer Nature
ISBN: 3030668916
Category : Application software
Languages : en
Pages : 357
Book Description
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
Engineering Applications of Neural Networks
Author: John Macintyre
Publisher: Springer
ISBN: 3030202577
Category : Computers
Languages : en
Pages : 554
Book Description
This book constitutes the refereed proceedings of the 19th International Conference on Engineering Applications of Neural Networks, EANN 2019, held in Xersonisos, Crete, Greece, in May 2019. The 35 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on AI in energy management - industrial applications; biomedical - bioinformatics modeling; classification - learning; deep learning; deep learning - convolutional ANN; fuzzy - vulnerability - navigation modeling; machine learning modeling - optimization; ML - DL financial modeling; security - anomaly detection; 1st PEINT workshop.
Publisher: Springer
ISBN: 3030202577
Category : Computers
Languages : en
Pages : 554
Book Description
This book constitutes the refereed proceedings of the 19th International Conference on Engineering Applications of Neural Networks, EANN 2019, held in Xersonisos, Crete, Greece, in May 2019. The 35 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on AI in energy management - industrial applications; biomedical - bioinformatics modeling; classification - learning; deep learning; deep learning - convolutional ANN; fuzzy - vulnerability - navigation modeling; machine learning modeling - optimization; ML - DL financial modeling; security - anomaly detection; 1st PEINT workshop.
Corporate Payout Policy
Author: Harry DeAngelo
Publisher: Now Publishers Inc
ISBN: 1601982046
Category : Corporations
Languages : en
Pages : 215
Book Description
Corporate Payout Policy synthesizes the academic research on payout policy and explains "how much, when, and how". That is (i) the overall value of payouts over the life of the enterprise, (ii) the time profile of a firm's payouts across periods, and (iii) the form of those payouts. The authors conclude that today's theory does a good job of explaining the general features of corporate payout policies, but some important gaps remain. So while our emphasis is to clarify "what we know" about payout policy, the authors also identify a number of interesting unresolved questions for future research. Corporate Payout Policy discusses potential influences on corporate payout policy including managerial use of payouts to signal future earnings to outside investors, individuals' behavioral biases that lead to sentiment-based demands for distributions, the desire of large block stockholders to maintain corporate control, and personal tax incentives to defer payouts. The authors highlight four important "carry-away" points: the literature's focus on whether repurchases will (or should) drive out dividends is misplaced because it implicitly assumes that a single payout vehicle is optimal; extant empirical evidence is strongly incompatible with the notion that the primary purpose of dividends is to signal managers' views of future earnings to outside investors; over-confidence on the part of managers is potentially a first-order determinant of payout policy because it induces them to over-retain resources to invest in dubious projects and so behavioral biases may, in fact, turn out to be more important than agency costs in explaining why investors pressure firms to accelerate payouts; the influence of controlling stockholders on payout policy --- particularly in non-U.S. firms, where controlling stockholders are common --- is a promising area for future research. Corporate Payout Policy is required reading for both researchers and practitioners interested in understanding this central topic in corporate finance and governance.
Publisher: Now Publishers Inc
ISBN: 1601982046
Category : Corporations
Languages : en
Pages : 215
Book Description
Corporate Payout Policy synthesizes the academic research on payout policy and explains "how much, when, and how". That is (i) the overall value of payouts over the life of the enterprise, (ii) the time profile of a firm's payouts across periods, and (iii) the form of those payouts. The authors conclude that today's theory does a good job of explaining the general features of corporate payout policies, but some important gaps remain. So while our emphasis is to clarify "what we know" about payout policy, the authors also identify a number of interesting unresolved questions for future research. Corporate Payout Policy discusses potential influences on corporate payout policy including managerial use of payouts to signal future earnings to outside investors, individuals' behavioral biases that lead to sentiment-based demands for distributions, the desire of large block stockholders to maintain corporate control, and personal tax incentives to defer payouts. The authors highlight four important "carry-away" points: the literature's focus on whether repurchases will (or should) drive out dividends is misplaced because it implicitly assumes that a single payout vehicle is optimal; extant empirical evidence is strongly incompatible with the notion that the primary purpose of dividends is to signal managers' views of future earnings to outside investors; over-confidence on the part of managers is potentially a first-order determinant of payout policy because it induces them to over-retain resources to invest in dubious projects and so behavioral biases may, in fact, turn out to be more important than agency costs in explaining why investors pressure firms to accelerate payouts; the influence of controlling stockholders on payout policy --- particularly in non-U.S. firms, where controlling stockholders are common --- is a promising area for future research. Corporate Payout Policy is required reading for both researchers and practitioners interested in understanding this central topic in corporate finance and governance.
The New Stock Market
Author: Merritt B. Fox
Publisher: Columbia University Press
ISBN: 023154393X
Category : Business & Economics
Languages : en
Pages : 612
Book Description
The U.S. stock market has been transformed over the last twenty-five years. Once a market in which human beings traded at human speeds, it is now an electronic market pervaded by algorithmic trading, conducted at speeds nearing that of light. High-frequency traders participate in a large portion of all transactions, and a significant minority of all trade occurs on alternative trading systems known as “dark pools.” These developments have been widely criticized, but there is no consensus on the best regulatory response to these dramatic changes. The New Stock Market offers a comprehensive new look at how these markets work, how they fail, and how they should be regulated. Merritt B. Fox, Lawrence R. Glosten, and Gabriel V. Rauterberg describe stock markets’ institutions and regulatory architecture. They draw on the informational paradigm of microstructure economics to highlight the crucial role of information asymmetries and adverse selection in explaining market behavior, while examining a wide variety of developments in market practices and participants. The result is a compelling account of the stock market’s regulatory framework, fundamental institutions, and economic dynamics, combined with an assessment of its various controversies. The New Stock Market covers a wide range of issues including the practices of high-frequency traders, insider trading, manipulation, short selling, broker-dealer practices, and trading venue fees and rebates. The book illuminates both the existing regulatory structure of our equity trading markets and how we can improve it.
Publisher: Columbia University Press
ISBN: 023154393X
Category : Business & Economics
Languages : en
Pages : 612
Book Description
The U.S. stock market has been transformed over the last twenty-five years. Once a market in which human beings traded at human speeds, it is now an electronic market pervaded by algorithmic trading, conducted at speeds nearing that of light. High-frequency traders participate in a large portion of all transactions, and a significant minority of all trade occurs on alternative trading systems known as “dark pools.” These developments have been widely criticized, but there is no consensus on the best regulatory response to these dramatic changes. The New Stock Market offers a comprehensive new look at how these markets work, how they fail, and how they should be regulated. Merritt B. Fox, Lawrence R. Glosten, and Gabriel V. Rauterberg describe stock markets’ institutions and regulatory architecture. They draw on the informational paradigm of microstructure economics to highlight the crucial role of information asymmetries and adverse selection in explaining market behavior, while examining a wide variety of developments in market practices and participants. The result is a compelling account of the stock market’s regulatory framework, fundamental institutions, and economic dynamics, combined with an assessment of its various controversies. The New Stock Market covers a wide range of issues including the practices of high-frequency traders, insider trading, manipulation, short selling, broker-dealer practices, and trading venue fees and rebates. The book illuminates both the existing regulatory structure of our equity trading markets and how we can improve it.
The Handbook of News Analytics in Finance
Author: Gautam Mitra
Publisher: John Wiley & Sons
ISBN: 1119990807
Category : Business & Economics
Languages : en
Pages : 384
Book Description
The Handbook of News Analytics in Finance is a landmarkpublication bringing together the latest models and applications ofNews Analytics for asset pricing, portfolio construction, tradingand risk control. The content of the Hand Book is organised to provide arapid yet comprehensive understanding of this topic. Chapter 1 setsout an overview of News Analytics (NA) with an explanation of thetechnology and applications. The rest of the chapters are presentedin four parts. Part 1 contains an explanation of methods and modelswhich are used to measure and quantify news sentiment. In Part 2the relationship between news events and discovery of abnormalreturns (the elusive alpha) is discussed in detail by the leadingresearchers and industry experts. The material in this part alsocovers potential application of NA to trading and fund management.Part 3 covers the use of quantified news for the purpose ofmonitoring, early diagnostics and risk control. Part 4 is entirelyindustry focused; it contains insights of experts from leadingtechnology (content) vendors. It also contains a discussion oftechnologies and finally a compact directory of content vendor andfinancial analytics companies in the marketplace of NA. Thebook draws equally upon the expertise of academics andpractitioners who have developed these models and is supported bytwo major content vendors - RavenPack and Thomson Reuters - leadingproviders of news analytics software and machine readablenews. The book will appeal to decision makers in the banking, finance andinsurance services industry. In particular: asset managers;quantitative fund managers; hedge fund managers; algorithmictraders; proprietary (program) trading desks; sell-side firms;brokerage houses; risk managers and research departments willbenefit from the unique insights into this new and pertinent areaof financial modelling.
Publisher: John Wiley & Sons
ISBN: 1119990807
Category : Business & Economics
Languages : en
Pages : 384
Book Description
The Handbook of News Analytics in Finance is a landmarkpublication bringing together the latest models and applications ofNews Analytics for asset pricing, portfolio construction, tradingand risk control. The content of the Hand Book is organised to provide arapid yet comprehensive understanding of this topic. Chapter 1 setsout an overview of News Analytics (NA) with an explanation of thetechnology and applications. The rest of the chapters are presentedin four parts. Part 1 contains an explanation of methods and modelswhich are used to measure and quantify news sentiment. In Part 2the relationship between news events and discovery of abnormalreturns (the elusive alpha) is discussed in detail by the leadingresearchers and industry experts. The material in this part alsocovers potential application of NA to trading and fund management.Part 3 covers the use of quantified news for the purpose ofmonitoring, early diagnostics and risk control. Part 4 is entirelyindustry focused; it contains insights of experts from leadingtechnology (content) vendors. It also contains a discussion oftechnologies and finally a compact directory of content vendor andfinancial analytics companies in the marketplace of NA. Thebook draws equally upon the expertise of academics andpractitioners who have developed these models and is supported bytwo major content vendors - RavenPack and Thomson Reuters - leadingproviders of news analytics software and machine readablenews. The book will appeal to decision makers in the banking, finance andinsurance services industry. In particular: asset managers;quantitative fund managers; hedge fund managers; algorithmictraders; proprietary (program) trading desks; sell-side firms;brokerage houses; risk managers and research departments willbenefit from the unique insights into this new and pertinent areaof financial modelling.