Handbook Of Financial Econometrics, Mathematics, Statistics, And Machine Learning (In 4 Volumes) PDF Download
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Author: Cheng Few Lee
Publisher: World Scientific
ISBN: 9811202400
Category : Business & Economics
Languages : en
Pages : 5053
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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.
Author: Cheng Few Lee
Publisher: World Scientific
ISBN: 9811202400
Category : Business & Economics
Languages : en
Pages : 5053
Get Book Here
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.
Author: Richard H. Thaler
Publisher: Russell Sage Foundation
ISBN: 9780871548443
Category : Business & Economics
Languages : en
Pages : 628
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Book Description
Modern financial markets offer the real world's best approximation to the idealized price auction market envisioned in economic theory. Nevertheless, as the increasingly exquisite and detailed financial data demonstrate, financial markets often fail to behave as they should if trading were truly dominated by the fully rational investors that populate financial theories. These markets anomalies have spawned a new approach to finance, one which as editor Richard Thaler puts it, "entertains the possibility that some agents in the economy behave less than fully rationally some of the time." Advances in Behavioral Finance collects together twenty-one recent articles that illustrate the power of this approach. These papers demonstrate how specific departures from fully rational decision making by individual market agents can provide explanations of otherwise puzzling market phenomena. To take several examples, Werner De Bondt and Thaler find an explanation for superior price performance of firms with poor recent earnings histories in the tendencies of investors to overreact to recent information. Richard Roll traces the negative effects of corporate takeovers on the stock prices of the acquiring firms to the overconfidence of managers, who fail to recognize the contributions of chance to their past successes. Andrei Shleifer and Robert Vishny show how the difficulty of establishing a reliable reputation for correctly assessing the value of long term capital projects can lead investment analysis, and hence corporate managers, to focus myopically on short term returns. As a testing ground for assessing the empirical accuracy of behavioral theories, the successful studies in this landmark collection reach beyond the world of finance to suggest, very powerfully, the importance of pursuing behavioral approaches to other areas of economic life. Advances in Behavioral Finance is a solid beachhead for behavioral work in the financial arena and a clear promise of wider application for behavioral economics in the future.
Author: Yasuyuki Fuchita
Publisher: Brookings Institution Press
ISBN: 0815729820
Category : Business & Economics
Languages : en
Pages : 216
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Book Description
A Brookings Institution Press and Nomura Institute of Capital Markets Research publication Developed country capital markets have devised a set of institutions and actors to help provide investors with timely and accurate information they need to make informed investment decisions. These actors have become known as "financial gatekeepers" and include auditors, financial analysts, and credit rating agencies. Corporate financial reporting scandals in the United States and elsewhere in recent years, however, have called into question the sufficiency of the legal framework governing these gatekeepers. Policymakers have since responded by imposing a series of new obligations, restrictions, and punishments—all with the purpose of strengthening investor confidence in these important actors. Financial Gatekeepers provides an in-depth look at these new frameworks, especially in the United States and Japan. How have they worked? Are further refinements appropriate? These are among the questions addressed in this timely and important volume. Contributors include Leslie Boni (University of New Mexico), Barry Bosworth (Brookings Institution), Tomoo Inoue (Seikei University), Zoe-Vonna Palmrose (University of Southern California), Frank Partnoy (University of San Diego School of Law), George Perry (Brookings Institution), Justin Pettit (UBS), Paul Stevens (Investment Company Institute), Peter Wallison (American Enterprise Institute).
Author: Peter H. Knutson
Publisher: CFA Institute
ISBN:
Category : Business & Economics
Languages : en
Pages : 114
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Book Description
Sets forth the position of investment advisors and financial analysts who want to see certain things changed.
Author: Cheng F. Lee
Publisher: Center for PBBEFR & Airiti Press
ISBN: 9866286436
Category : Business & Economics
Languages : en
Pages : 339
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Book Description
Advances in Quantitative Analysis of Finance and Accounting (New Series) is an annual publication designed to disseminate developments in the quantitative analysis of finance and accounting. The publication is a forum for statistical and quantitative analyses of issues in finance and accounting as well as applications of quantitative methods to problems in financial management, financial accounting, and business management. The objective is to promote interaction between academic research in finance and accounting and applied research in the financial community and the accounting profession.
Author: Bianca Ahrens
Publisher: BoD – Books on Demand
ISBN: 3899369211
Category : Business & Economics
Languages : en
Pages : 282
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Book Description
In his speech from 1998 the former chairman of the United States Securities and Exchange Commission (SEC) Arthur Levitt pointed out that trust "is the bedrock of our capital markets" and that this must not be shaken by the erosion of earnings quality. He made clear that it is the challenge of the whole financial community to counteract such a development. This thesis deals with the question whether the importance of earnings for the capital market varies with its quality. The question arises, because in recent years a large number of firm scandals has shaken the trust in the reliability of reported earnings. In order to properly address the research questions, the literature on earnings quality definitions, quality measures as well as implications of earnings quality on capital markets is reviewed and critically discussed. The author investigates whether well known results concerning capital market implications of earnings quality remain stable for all measures considered. She answers the question of how earnings quality affects firm value, cost of equity capital, and the accuracy of analysts' forecasts taking into account the effects of determinants of earnings quality.
Author: Philip Brown
Publisher: Routledge
ISBN: 1135077584
Category : Business & Economics
Languages : en
Pages : 443
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Book Description
Philip Brown is one of the most admired and respected accounting academics alive today. He was a pioneer in capital markets research in accounting, and his 1968 article, co-authored with Ray Ball, "An Empirical Evaluation of Accounting Income Numbers," arguably had a greater impact on the course of accounting research, directly and indirectly, than any other article during the second half of the twentieth century. Since that time, his innovative research has focused on issues that bridge accounting and finance, including the relationships between net profit reports and the stock market, the long-run performance of acquiring firms, statutory sanctions and voluntary corporate disclosure, and the politics and future of national accounting standards to name a few. This volume brings together the greatest hits of Brown’s career, including several articles that were published in out-of-the-way places, for easier use by students and researchers in the field. With a foreword written by Stephen A. Zeff, and an introduction that discusses the evolution of Brown’s research interests and explains the context for each of the essays included in the volume, this book offers the reader a unique look inside this remarkable 50-year career.
Author: Kunio Ito
Publisher: Springer
ISBN: 4431547924
Category : Business & Economics
Languages : en
Pages : 337
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Book Description
Despite the globalization of accounting standards occurring through convergence to International Financial Reporting Standards, local accounting systems are deeply intertwined with each country’s unique institutions such as its corporate system, disclosure practices and enforcement mechanisms. First, this book empirically analyzes the effects of globalization and localization of accounting rules on corporate behavior such as earnings management, signaling, investment behavior and dividend payout policy. Second, the book unravels the economic consequences of disclosure based on the concept of self-disciplining enforcement such as management forecasts, environmental disclosures and risk disclosures by Japanese firms. This volume is a step forward in understanding the link between accounting and corporate behavior based on a new institutional accounting approach.
Author: Albuquerque, Fábio
Publisher: IGI Global
ISBN: 1668472953
Category : Business & Economics
Languages : en
Pages : 338
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Book Description
To follow the macroeconomic scenario in which the entities are inserted, financial reporting is constantly evolving. In addition to the topics that need to be considered, there is also an evolution in how the report itself is produced and analyzed where technological developments exert a permanent influence on the process. Several of the trending topics do not fall within the jurisdiction of the competent authorities. The needs of the users of the report also influence the form and content of the report as an element that also changes over time. Accounting and Financial Reporting Challenges for Government, Non-Profits, and the Private Sector addresses the latest accounting topics and their practical and educational relations with local and international regulations, standards, and practices. It deals with new challenges and trends in accounting and reporting for organizations from different institutional sectors, including private, public, and non-profit ones. Covering topics such as creative accounting, financial reporting, and stakeholder participation, this premier reference source is an excellent resource for accountants, government officials, business leaders, managers, policymakers, students and educators of higher education, librarians, researchers, and academicians.
Author: Joshua Ronen
Publisher: Springer Science & Business Media
ISBN: 0387257713
Category : Business & Economics
Languages : en
Pages : 587
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Book Description
This book is a study of earnings management, aimed at scholars and professionals in accounting, finance, economics, and law. The authors address research questions including: Why are earnings so important that firms feel compelled to manipulate them? What set of circumstances will induce earnings management? How will the interaction among management, boards of directors, investors, employees, suppliers, customers and regulators affect earnings management? How to design empirical research addressing earnings management? What are the limitations and strengths of current empirical models?
