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Download or read book FINANCIAL MARKETS INSTITUTIONS AND SERVICES written by GOEL, SANDEEP and published by PHI Learning Pvt. Ltd.. This book was released on 2018-08-01 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last few years, India, with its strong financial system, has emerged as one of the fastest growing economies in the world. In view of the inevitable importance of financial system globally and in India, the present book is an attempt to provide an up-to-date overview of the Indian financial system and an elaborative discussion on its three wings: financial markets, institutions and services. KEY FEATURES  Supported case studies and projects.  Emerging issues like barter exchange, governance rating, and more.  Current concepts, corporate practices, recent trends, and current data on the subject.  Illustrations, tables, figures for a vivid visual impact and related concepts to real-life situations.  Graded pedagogy—MCQs, True/ false, Fill in the blanks, Short answer questions, Critical thinking questions and discussion problems at the end of each chapter.  Solutions to all MCQs in the respective chapters.  Instructor’s manual and Learning Material for students are available at www.phindia.com/Books/ LearningCentre TARGET AUDIENCE • MBA • BBA • B.Com / M.Com • B.A. / M.A. Economics

Download or read book Financial Markets and Institutions written by Anthony Saunders and published by McGraw-Hill Higher Education. This book was released on 2012-01-01 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial Markets and Institutions, 5e offers a unique analysis of the risks faced by investors and savers interacting through financial institutions and financial markets, as well as strategies that can be adopted for controlling and managing risks. Special emphasis is put on new areas of operations in financial markets and institutions such as asset securitization, off-balance-sheet activities, and globalization of financial services.

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Download or read book Financial Risk Forecasting written by Jon Danielsson and published by John Wiley & Sons. This book was released on 2011-04-20 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial Risk Forecasting is a complete introduction to practical quantitative risk management, with a focus on market risk. Derived from the authors teaching notes and years spent training practitioners in risk management techniques, it brings together the three key disciplines of finance, statistics and modeling (programming), to provide a thorough grounding in risk management techniques. Written by renowned risk expert Jon Danielsson, the book begins with an introduction to financial markets and market prices, volatility clusters, fat tails and nonlinear dependence. It then goes on to present volatility forecasting with both univatiate and multivatiate methods, discussing the various methods used by industry, with a special focus on the GARCH family of models. The evaluation of the quality of forecasts is discussed in detail. Next, the main concepts in risk and models to forecast risk are discussed, especially volatility, value-at-risk and expected shortfall. The focus is both on risk in basic assets such as stocks and foreign exchange, but also calculations of risk in bonds and options, with analytical methods such as delta-normal VaR and duration-normal VaR and Monte Carlo simulation. The book then moves on to the evaluation of risk models with methods like backtesting, followed by a discussion on stress testing. The book concludes by focussing on the forecasting of risk in very large and uncommon events with extreme value theory and considering the underlying assumptions behind almost every risk model in practical use – that risk is exogenous – and what happens when those assumptions are violated. Every method presented brings together theoretical discussion and derivation of key equations and a discussion of issues in practical implementation. Each method is implemented in both MATLAB and R, two of the most commonly used mathematical programming languages for risk forecasting with which the reader can implement the models illustrated in the book. The book includes four appendices. The first introduces basic concepts in statistics and financial time series referred to throughout the book. The second and third introduce R and MATLAB, providing a discussion of the basic implementation of the software packages. And the final looks at the concept of maximum likelihood, especially issues in implementation and testing. The book is accompanied by a website - www.financialriskforecasting.com – which features downloadable code as used in the book.