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Dynamic Models and their Applications in Emerging Markets

2005-06-03 Business & Economics
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Release : 2005-06-03
Genre : Business & Economics
Kind : eBook
Book Rating : 591/5 ( reviews)

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Book Synopsis Dynamic Models and their Applications in Emerging Markets by : S. Motamen-Samadian

Download or read book Dynamic Models and their Applications in Emerging Markets written by S. Motamen-Samadian. This book was released on 2005-06-03. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of six studies on behaviour of financial and economic variables in emerging and Euro markets. It includes the latest empirical studies on 32 emerging economies. The studies cover examination of the behaviour of interest rates, banks' credit and default risks, sovereign bond markets, effectiveness of inflation targeting, and dynamics of external debt and growth. There is currently no single book that addresses all these issues. This is a valuable book for all those who are working on emerging markets.

Dynamic Models and Their Applications in Emerging Markets

2005 Credit
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Release : 2005
Genre : Credit
Kind : eBook
Book Rating : 840/5 ( reviews)

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Book Synopsis Dynamic Models and Their Applications in Emerging Markets by : Sima Motamen-Samadian

Download or read book Dynamic Models and Their Applications in Emerging Markets written by Sima Motamen-Samadian. This book was released on 2005. Available in PDF, EPUB and Kindle. Book excerpt: This book provides new insights into the application of dynamic models to emerging markets. Each chapter focuses on a a different topic and examines the behaviour of financial and economic variables in a large number of emerging economies in Eastern Europe, Latin America, and Asia. The studies reveal the most appropriate model specifications that should be used in analyzing the behaviour of variables such as interest rates in both emerging and non-emerging markets, banks' credit and default risk, sovereign bond risk, inflation, external debt and growth in emerging markets. The results have important implications for pricing of securities in financial markets and strategy of banks and other financial institutions and policy makers. This book is valuable for all those working on financial markets and emerging economies, in partcular those who are working on dynamic models at universities, financial institutions, central banks, and other national and international agencies.

Corporate Governance Models and Applications in Developing Economies

2019-08-30 Business & Economics
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Release : 2019-08-30
Genre : Business & Economics
Kind : eBook
Book Rating : 097/5 ( reviews)

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Book Synopsis Corporate Governance Models and Applications in Developing Economies by : Agyemang, Otuo Serebour

Download or read book Corporate Governance Models and Applications in Developing Economies written by Agyemang, Otuo Serebour. This book was released on 2019-08-30. Available in PDF, EPUB and Kindle. Book excerpt: Virtually all developing, transitioning, and emerging-market economies are faced with one pressing concern at the moment: how to establish the groundwork for long-term economic performance and competitiveness in a diverse market. However, without the existence of good corporate governance in these economies, small enterprise will cease to exist in developing countries. Corporate Governance Models and Applications in Developing Economies is a collection of innovative research that contributes to the better understanding of corporate governance models by documenting the structures, principles, tenets, case studies, and applications for the development of good business practices in developing economies. While highlighting topics including risk management, financial distress, and insider trading, this book is ideally designed for corporate managers, executives, economists, strategists, investors, shareholders, students, researchers, academicians, business professionals, and policymakers.

Dynamic Models for Volatility and Heavy Tails

2013-04-22 Business & Economics
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Release : 2013-04-22
Genre : Business & Economics
Kind : eBook
Book Rating : 780/5 ( reviews)

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Book Synopsis Dynamic Models for Volatility and Heavy Tails by : Andrew C. Harvey

Download or read book Dynamic Models for Volatility and Heavy Tails written by Andrew C. Harvey. This book was released on 2013-04-22. Available in PDF, EPUB and Kindle. Book excerpt: The volatility of financial returns changes over time and, for the last thirty years, Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models have provided the principal means of analyzing, modeling and monitoring such changes. Taking into account that financial returns typically exhibit heavy tails - that is, extreme values can occur from time to time - Andrew Harvey's new book shows how a small but radical change in the way GARCH models are formulated leads to a resolution of many of the theoretical problems inherent in the statistical theory. The approach can also be applied to other aspects of volatility. The more general class of Dynamic Conditional Score models extends to robust modeling of outliers in the levels of time series and to the treatment of time-varying relationships. The statistical theory draws on basic principles of maximum likelihood estimation and, by doing so, leads to an elegant and unified treatment of nonlinear time-series modeling.

Advanced Machine Learning Algorithms for Complex Financial Applications

2023-01-09 Business & Economics
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Release : 2023-01-09
Genre : Business & Economics
Kind : eBook
Book Rating : 852/5 ( reviews)

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Book Synopsis Advanced Machine Learning Algorithms for Complex Financial Applications by : Irfan, Mohammad

Download or read book Advanced Machine Learning Algorithms for Complex Financial Applications written by Irfan, Mohammad. This book was released on 2023-01-09. Available in PDF, EPUB and Kindle. Book excerpt: The advancements in artificial intelligence and machine learning have significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are becoming more complex within the field of finance. Artificial intelligence and machine learning, with their spectacular success accompanied by unprecedented accuracies, have become increasingly important in the finance world. Advanced Machine Learning Algorithms for Complex Financial Applications provides innovative research on the roles of artificial intelligence and machine learning algorithms in financial sectors with special reference to complex financial applications such as financial risk management in big data environments. In addition, the book addresses broad challenges in both theoretical and application aspects of artificial intelligence in the field of finance. Covering essential topics such as secure transactions, financial monitoring, and data modeling, this reference work is crucial for financial specialists, researchers, academicians, scholars, practitioners, instructors, and students.

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