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Books > Business & Economics > Finance & accounting > Finance > General
This book offers a comprehensive analysis of the problems that the
current working of capital markets are generating on both developed
and developing economies. It pays special attention to the reasons
explaining the unstable and volatile working of international
financial markets and to the consequences of that behaviour on both
the economic performance of the involved countries and on the
economic policies implemented.
This book presents the most important published articles of Martin Shubik who has made a path-breaking contribution to game theory and political economy. The volume shows how game theory can be used to explore fundamental problems in economics, political science and operations research.The book opens with an introduction to the career of Martin Shubik and the influences which have shaped his research. In this, and the chapters which follow, Martin Shubik stresses the importance of formulative models as playable games and the treatment of information to describe decision making among individuals, using examples from industrial organization. He demonstrates that games are a fruitful way to extend our knowledge of competition among the few. In addition, he considers the importance of gaming in economics and business suggesting that experimental games can be used to illustrate problems and principles in multi-person decision making. This book will be welcomed by economists, game theorists, political scientists, and operations researchers.
Get effective and efficient instruction for Part 1 of the CMA exam in 2020 Wiley CMAexcel Exam Review 2020 Flashcards Part 1, Financial Reporting, Planning, Performance, and Analytics are the only official prep materials of the Institute of Management Accountants to help you get ready for the Certified Management Accountant exam. You ll improve your learning and retention with these intuitive and valuable flashcards designed to test your knowledge of Part 1 of the CMA exam. Containing over 250 flashcards in a portable container, you ll have the opportunity to study and challenge yourself wherever you might be.
This book showcases a large variety of multiple criteria decision applications (MCDAs), presenting them in a coherent framework provided by the methodology chapters and the comments accompanying each case study. The chapters describing MCDAs invite the reader to experiment with MCDA methods and perhaps develop new variants using data from these case studies or other cases they encounter, equipping them with a broader perception of real-world problems and how to overcome them with the help of MCDAs.
This is the most comprehensive textbook available on the money demand function and its role in modern macroeconomics. The book takes a microeconomic- and aggregation-theoretic approach to the topic and presents empirical evidence using state-of-the-art econometric methodology, while recognizing the existence of unsolved problems and the need for further developments. The new edition is fully revised and includes new chapters.
Until not too many years ago, the Italian government bond market, though the third largest in the world in terms of size, was characterised by numerous inefficiencies and problems regarding both policy in managing the public debt and the operation of the market. These aspects tended to isolate the Italian market from the international fmancial community and to keep large, international investors away from our market. As the situation with Italy's public finances grew worse and with financial markets being deregulated and expanding internationally, several direct measures were taken in recent years to encourage an even greater recourse to the Italian government securities market and to improve it's efficiency. Innovations in techniques for issuing government bonds, the creation of an automated trading system for Italian state securities, and the launch of a futures market in Italy, too, have all been useful measures in getting the Italian market closer to international standards. The measures adopted by economic policy authorities have often been inspired by the works developed by various study groups instituted by the treasury Ministry as well as by research coming from the academic world. Likewise, many measures aimed at improving the government bond market have been realised thanks to the important contribution of the trade associations and the main financial intermediaries operating in Italy, whose studies, suggestions and proposals have been based on operating expertise built up over decades.
The management of operational risk in the banking industry has undergone explosive changes over the last decade due to substantial changes in the operational environment. Globalization, deregulation, the use of complex financial products, and changes in information technology have resulted in exposure to new risks which are very different from market and credit risks. In response, the Basel Committee on Banking Supervision has developed a new regulatory framework for capital measurement and standards for the banking sector. This has formally defined operational risk and introduced corresponding capital requirements. Many banks are undertaking quantitative modelling of operational risk using the Loss Distribution Approach (LDA) based on statistical quantification of the frequency and severity of operational risk losses. There are a number of unresolved methodological challenges in the LDA implementation. Overall, the area of quantitative operational risk is very new and different methods are under hot debate. This book is devoted to quantitative issues in LDA. In particular, the use of Bayesian inference is the main focus. Though it is very new in this area, the Bayesian approach is well suited for modelling operational risk, as it allows for a consistent and convenient statistical framework for quantifying the uncertainties involved. It also allows for the combination of expert opinion with historical internal and external data in estimation procedures. These are critical, especially for low-frequency/high-impact operational risks. This book is aimed at practitioners in risk management, academic researchers in financial mathematics, banking industry regulators and advanced graduate students in the area. It is a must-read for anyone who works, teaches or does research in the area of financial risk.
This book offers comprehensive examination of research on the relevance of individual behavior and technology to financial innovations. The chapters cover current topics in finance including integrated reporting, people finance, crowdfunding, and corporate networks. It provides readers with an organized starting point to explore individual behaviors and new technologies used in financial innovations. The explicit and growing speed of the spread of new technologies has hastened the emergence of innovation in the field of finance. Topics like the Internet of Things, semantic computing and big data finance are motivating the construction of financial tools that translate into new financial mechanisms. This book strives help readers better understand the dynamic of the changes in financial systems and the proliferation of financial products. Individual Behaviors and Technologies for Financial Innovations is organized in 16 chapters, organized in three parts. Part I has eight chapters that review the research on gender differences in attitudes about risk and propensity to purchase automobile insurance, financial literacy models for college students, wellness and attitude of university students in the use of credit cards, impact of programs income distribution and propensity to remain in employment, financial literacy and propensity to resort to informal financing channels, risk behavior in the use of credit cards by students. Part II reviews the research on financing for startups and SMEs, exploring funding through crowdfunding platform, operating credit unions, and using networks of friends to finance small businesses outside the domestic market. The four chapters of Part III describe contexts of financial innovation in listed companies, including society's demands on their behavior - we discuss motivations for companies to participate in corporate sustainability indexes, corporate performance through their profile of socially responsible investments, influence of networks of social relations in the formation of boards, and management of companies, and also the precariousness of financial decisions in large companies, as well as the role of the internet in corporate communication with the market.
As over half the assets of many major companies are now intangible assets, there is an increasing need to assess more accurately the value of intellectual property (IP) from a wider interdisciplinary perspective. Re-evaluating risk and understanding the true value of intellectual property is a major problem, particularly important for business practitioners, including business analysts and investors, venture capitalists, accountants, insurance experts, intellectual property lawyers and also for those who hold intellectual property assets, such as media, publishing and pharmaceutical companies, and universities and other research bodies. Written by the foremost authorities in the field from Britain, Japan and the US, this book considers the latest developments and puts forward much new thinking. The book includes thorough coverage of developments in Japan, which is reviewing the value of IP at a much quicker pace than any other country and is registering ever-increasing numbers of patents in the course of inventing its way out of economic inertia.
Well-known for its engaging, conversational style, this text makes sophisticated concepts accessible, introducing students to how markets and institutions shape the global financial system and economic policy. Principles of Money, Banking & Financial Markets incorporates current research and data while taking stock of sweeping changes in the international financial landscape produced by financial innovation, deregulation, and geopolitical considerations. It is easy to encourage students to practice with MyEconLab, the online homework and tutorial system. New to the Twelfth Edition, select end-of-chapter exercises from the book are assignable in MyEconLab and preloaded problem sets allow students to practice even if the instructor has not logged in. For more information about how instructors can use MyEconLab, click here.
The original impetus for this research was provided several years ago by a request to assist Counsel for Fidelity Management and Research Corporation in analyzing the mutual fund industry, with particular emphasis on money market mutual funds. We were asked to focus our efforts on the mechanism by which the advisory fees of mutual funds are determined. This request arose out of litigation that challenged the level of advisory fees charged to the shareholders of the Fidelity Cash Reserve Fund. Subsequently, we were asked to provide similar assistance to Counsel for T. Rowe Price Associates regarding the fees charged to shareholders of their Prime Reserve Fund. 1940, advisers of Under the Investment Company Act of mutual funds have a fiduciary duty with respect to the level of fees they may charge a fund's shareholders. Since the passage of the Investment Company Act, there have been numerous lawsuits brought by shareholders alleging that advisory fees were excessive. In these lawsuits, the courts have failed to provide a set of standards for determining when such fees are excessive. Instead, they have relied on arbitrary and frequently ill-defined criteria for jUdging the reasonableness of fees. This failure to apply economic-based tests for evaluating the fee structure of mutual funds provided the motivation for the present book, which undertakes a comprehensive analysis of the economics of the mutual fund industry.
Following the recent financial crisis, risk management in financial institutions, particularly in banks, has attracted widespread attention and discussion. Novel modeling approaches and courses to educate future professionals in industry, government, and academia are of timely relevance. This book introduces an innovative concept and methodology developed by the authors: active risk management. It is suitable for graduate students in mathematical finance/financial engineering, economics, and statistics as well as for practitioners in the fields of finance and insurance. The book s website features the data sets used in the examples along with various exercises."
Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to financial market monitoring and algorithmic trading. Directional Change is a new way of summarising price changes in the market. Instead of sampling prices at fixed intervals (such as daily closing in time series), it samples prices when the market changes direction ("zigzags"). By sampling data in a different way, this book lays out concepts which enable the extraction of information that other market participants may not be able to see. The book includes a Foreword by Richard Olsen and explores the following topics: Data science: as an alternative to time series, price movements in a market can be summarised as directional changes Machine learning for regime change detection: historical regime changes in a market can be discovered by a Hidden Markov Model Regime characterisation: normal and abnormal regimes in historical data can be characterised using indicators defined under Directional Change Market Monitoring: by using historical characteristics of normal and abnormal regimes, one can monitor the market to detect whether the market regime has changed Algorithmic trading: regime tracking information can help us to design trading algorithms It will be of great interest to researchers in computational finance, machine learning and data science. About the Authors Jun Chen received his PhD in computational finance from the Centre for Computational Finance and Economic Agents, University of Essex in 2019. Edward P K Tsang is an Emeritus Professor at the University of Essex, where he co-founded the Centre for Computational Finance and Economic Agents in 2002.
In the last two decades, the role of finance in the development process has become a major topic of research and debate. Although it is widely agreed that there is an important link between the two, there is much less consensus on the exact nature of the relationship. Is financial development a prerequisite for general economic development, or is it a more passive by-product of the development process? In this valuable new book, a distinguished group of authors takes stock of the existing state of knowledge in the field of finance and the development process. Each chapter offers a comprehensive survey and synthesis of current issues. These include such critical subjects as savings, financial markets and the macroeconomy, stock market development, financial regulation, foreign investment and aid, financing livelihoods, microfinance, rural financial markets, small and medium enterprises, corporate finance and banking. This book will be accessible to postgraduate and advanced undergraduate students of finance and development. It will also be an essential reference source for all professionals and academics working in this area who want to learn how finance can contribute to the development process and poverty reduction.
Financial plans that stimulate growth and eliminate poverty in
developing African countries!
"The complexity of business in economically demanding times makes finding constructive angels that much more challenging. The advice and tips in Attracting Capital from Angels are, therefore, invaluable. The wisdom offered here is not just for start-ups or neophytes, but is a well-timed companion to already existing resources and approaches to helping a business in all phases of development. It’s also a great manual for people who want to share their knowledge (and invest capital) as an angel. I plan to recommend Attracting Capital from Angels to every entrepreneur I run into in the future who asks for mentoring sources. Great job!" (Bob Bozeman, General Partner, Angel Investors, LP) PENNIES FROM HEAVEN This book offers all the information entrepreneurs need for finding elusive angel investors. Comprehensive, eminently readable, and based on the authors’ years of experience dealing with venture capital firms, angels, and entrepreneurs, this book covers all the angles on angels:
Attracting Capital from Angels is the ultimate guide to finding the money your business needs to get on its feet–and make a run at success. |
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