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Risk Assessment and Financial Regulation in Emerging Markets' Banking
This book describes various approaches in modelling financial risks and compiling ratings. Focusing on emerging markets, it illustrates how risk assessment is performed and analyses the use of machine learning methods for financial risk assessment and measurement. It not only offers readers insights into the differences between emerging and developed markets, but also helps them understand the development of risk management approaches for banks. Highlighting current problems connected with the evaluation and modelling of financial risks in the banking sector of emerging markets, the book presents the methodologies applied to credit and market financial risks and integrated and payment risks, and discusses the outcomes. In addition it explores the systemic risks and innovations in banking and risk management by analyzing the features of risk measurement in emerging countries. Lastly, it demonstrates the aggregation of approaches to financial risk for emerging financial markets, comparing the experiences of various countries, including Russia, Belarus, China and Brazil.
Handbook of Ratings
This handbook presents a systematic overview of approaches to, diversity, and problems involved in interdisciplinary rating methodologies. Historically, the purpose of ratings is to achieve information transparency regarding a given body’s activities, whether in the field of finance, banking, or sports for example. This book focuses on commonly used rating methods in three important fields: finance, sports, and the social sector. In the world of finance, investment decisions are largely shaped by how positively or negatively economies or financial instruments are rated. Ratings have thus become a basis of trust for investors. Similarly, sports evaluation and funding are largely based on co...
Financial Econometrics and Empirical Market Microstructure
In the era of Big Data our society is given the unique opportunity to understand the inner dynamics and behavior of complex socio-economic systems. Advances in the availability of very large databases, in capabilities for massive data mining, as well as progress in complex systems theory, multi-agent simulation and computational social science open the possibility of modeling phenomena never before successfully achieved. This contributed volume from the Perm Winter School address the problems of the mechanisms and statistics of the socio-economics system evolution with a focus on financial markets powered by the high-frequency data analysis.
The Industrial Organization of Banking
This book aims to provide a thoroughly updated overview and evaluation of the industrial organization of banking. It examines the interplay among bank behaviour, market structure, and regulation from the perspective of a variety of public policy issues, including bank competition and risk, market discipline, antitrust issues, and capital regulation. New to this edition are discussions of the economic foundations of international banking, macroprudential regulation, and international coordination of banking policies. The book can serve as a learning tool and reference for graduate students, academics, bankers, and policymakers with interests in the industrial organization of the banking sector and the impacts of banking regulations.
Inflation in Mainland China
Tiivistelmä.
Bank Supervision Russian Style
Tiivistelmä.
