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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.
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.
Author: Saini, Kavita Publisher: IGI Global ISBN: 1668476983 Category : Political Science Languages : en Pages : 261
Book Description
There is now a plethora of internet of things (IoT) devices on the market that can connect to the internet and the desired environment to produce sufficient and reliable data that is required by the government administration for a variety of purposes. Additionally, the potential benefits of incorporating artificial intelligence (AI) and machine learning into governance are numerous. Governments can use AI and machine learning to enforce the law, detect fraud, and monitor urban areas by identifying problems before they occur. The government can also use AI to easily automate processes and replace mundane and repetitive tasks. AI, IoT, and Blockchain Breakthroughs in E-Governance defines and emphasizes various AI algorithms as well as new internet of things and blockchain breakthroughs in the field of e-governance. Covering key topics such as machine learning, government, and artificial intelligence, this premier reference source is ideal for government officials, policymakers, researchers, academicians, practitioners, scholars, instructors, and students.
Author: Alexander V. Laskin Publisher: John Wiley & Sons ISBN: 1394180357 Category : Business & Economics Languages : en Pages : 214
Book Description
ORGANIZATIONAL REPUTATION MANAGEMENT Teaches public relations through the management of relationships with key organizational publics, perfect for business and management students Organizational Reputation Management: A Strategic Public Relations Perspective presents comprehensive coverage of how corporations, governments, and non profit organizations build and maintain their reputation. This unique textbook provides students with a solid understanding of the function of public relations as a strategic activity, as author Alexander V. Laskin offers a real-world relationship management perspective while employing an innovative approach to defining and analyzing reputation. Student-friendly chapters introduce all essential concepts of reputation management, describe the entire process of reputation management, help future organizational leaders appreciate the importance of reputation, explain measurement and evaluation methods, and define organizational reputation through relationships with key stakeholders such as investors, employees, and customers. Designed to be used with the PRSA MBA/Business School Initiative curriculum, Organizational Reputation Management demonstrates how to apply the Research, Planning, Implementation, and Evaluation (RPIE) process, the Paid, Earned, Shared, and Owned (PESO) communications model, the Barcelona Principles, and other key public relations concepts in the context of organizational reputation. Organizational Reputation Management: A Strategic Public Relations Perspective is the ideal textbook for undergraduate and graduate courses in reputation management, public relations management, and strategic communication.
Author: Yasuyuki Fuchita Publisher: Brookings Institution Press ISBN: 0815729820 Category : Business & Economics Languages : en Pages : 216
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: Boris Groysberg Publisher: Stanford University Press ISBN: 0804787123 Category : Business & Economics Languages : en Pages : 200
Book Description
Wall Street Research: Past, Present, and Future provides a timely account of the dramatic evolution of Wall Street research, examining its rise, fall, and reemergence. Despite regulatory, technological, and global forces that have transformed equity research in the last ten years, the industry has proven to be remarkably resilient and consistent. Boris Groysberg and Paul M. Healy get to the heart of Wall Street research—the analysts engaged in the process—and demonstrate how the analysts' roles have evolved, what drives their performance today, and how they stack up against their buy-side counterparts. The book unpacks key trends and describes how different firms have coped with shifting pressures. It concludes with an assessment of where equity research is headed in emerging markets, drawing conclusions about this often overlooked corner of Wall Street and the industry's future challenges.
Author: Publisher: ISBN: Category : Languages : en Pages : 140
Book Description
The most trustworthy source of information available today on savings and investments, taxes, money management, home ownership and many other personal finance topics.
Author: Sundaresh Ramnath Publisher: Now Publishers Inc ISBN: 1601981627 Category : Business & Economics Languages : en Pages : 125
Book Description
Financial Analysts' Forecasts and Stock Recommendations reviews research related to the role of financial analysts in the allocation of resources in capital markets. The authors provide an organized look at the literature, with particular attention to important questions that remain open for further research. They focus research related to analysts' decision processes and the usefulness of their forecasts and stock recommendations. Some of the major surveys were published in the early 1990's and since then no less than 250 papers related to financial analysts have appeared in the nine major research journals that we used to launch our review of the literature. The research has evolved from descriptions of the statistical properties of analysts' forecasts to investigations of the incentives and decision processes that give rise to those properties. However, in spite of this broader focus, much of analysts' decision processes and the market's mechanism of drawing a useful consensus from the combination of individual analysts' decisions remain hidden in a black box. What do we know about the relevant valuation metrics and the mechanism by which analysts and investors translate forecasts into present equity values? What do we know about the heuristics relied upon by analysts and the market and the appropriateness of their use? Financial Analysts' Forecasts and Stock Recommendations examines these and other questions and concludes by highlighting area for future research.
Author: Andrew Metrick Publisher: John Wiley and Sons ISBN: 1118137884 Category : Business & Economics Languages : en Pages : 1153
Book Description
This useful guide walks venture capitalists through the principles of finance and the financial models that underlie venture capital decisions. It presents a new unified treatment of investment decision making and mark-to-market valuation. The discussions of risk-return and cost-of-capital calculations have been updated with the latest information. The most current industry data is included to demonstrate large changes in venture capital investments since 1999. The coverage of the real-options methodology has also been streamlined and includes new connections to venture capital valuation. In addition, venture capitalists will find revised information on the reality-check valuation model to allow for greater flexibility in growth assumptions.
Author: Cheng Few Lee
Author: Cheng Few Lee
Author: 
Author: Saini, Kavita
Author: Alexander V. Laskin
Author: Yasuyuki Fuchita
Author: Boris Groysberg
Author: 
Author: 
Author: Sundaresh Ramnath
Author: Andrew Metrick