Ratings, Rating Agencies and the Global Financial System brings together the research of economists at New York University and the University of Maryland, along with those from the private sector, government bodies, and other universities. The first section of the volume focuses on the historical origins of the credit rating business and its present day industrial organization structure. The second section presents several empirical studies crafted largely around individual firm-level or bank-level data. These studies examine (a) the relationship between ratings and the default and recovery experience of corporate borrowers, (b) the comparability of credit ratings made by domestic and foreign rating agencies, and (c) the usefulness of financial market indicators for rating banks, among other topics. In the third section, the record of sovereign credit ratings in predicting financial crises and the reaction of financial markets to changes in credit ratings is examined. The final section of the volume emphasizes policy issues now facing regulators and credit rating agencies.
Technical analysis is not supposed consistently to beat financial markets. In this book, however, Professors Surajaras and Sweeney seek to establish that carefully chosen rules can produce substantial and consistent measured profits over time. The authors also call into question the traditional academic wisdom that markets in general are efficient.
Currency denomination remains a barrier to full financial integration, however, since both nominal and real returns on financial instruments vary widely by currency, even between currencies tied together by the European Monetary System. This study examines relative returns in the money and bond markets of these countries, investigating whether there are systematic variations in relative returns across currencies.
Bridges the gap between theoretical and computational aspects of prime numbers Exercise sections are a goldmine of interesting examples, pointers to the literature and potential research projects Authors are well-known and highly-regarded in the field
A comprehensive framework for assessing strategies for managing risk and uncertainty, integrating theory and practice and synthesizing insights from many fields. This book offers a framework for making decisions under risk and uncertainty. Synthesizing research from economics, finance, decision theory, management, and other fields, the book provides a set of tools and a way of thinking that determines the relative merits of different strategies. It takes as its premise that we make better decisions if we use the whole toolkit of economics and related fields to inform our decision making. The text explores the distinction between risk and uncertainty and covers standard models of decision making under risk as well as more recent work on decision making under uncertainty, with a particular focus on strategic interaction. It also examines the implications of incomplete markets for managing under uncertainty. It presents four core strategies: a benchmark strategy (proceeding as if risk and uncertainty were low), a financial hedging strategy (valuable if there is much risk), an operational hedging strategy (valuable for conditions of much uncertainty), and a flexible strategy (valuable if there is much risk and/or uncertainty). The book then examines various aspects of these strategies in greater depth, building on empirical work in several different fields. Topics include price-setting, real options and Monte Carlo techniques, organizational structure, and behavioral biases. Many chapters include exercises and appendixes with additional material. The book can be used in graduate or advanced undergraduate courses in risk management, as a guide for researchers, or as a reference for management practitioners.
This interdisciplinary book provides a compendium of projects, plus numerous example programs for readers to study and explore. Designed for advanced undergraduates or graduates of science, mathematics and engineering who will deal with scientific computation in their future studies and research, it also contains new and useful reference materials for researchers. The problem sets range from the tutorial to exploratory and, at times, to "the impossible". The projects were collected from research results and computational dilemmas during the authors tenure as Chief Scientist at NeXT Computer, and from his lectures at Reed College. The content assumes familiarity with such college topics as calculus, differential equations, and at least elementary programming. Each project focuses on computation, theory, graphics, or a combination of these, and is designed with an estimated level of difficulty. The support code for each takes the form of either C or Mathematica, and is included in the appendix and on the bundled diskette. The algorithms are clearly laid out within the projects, such that the book may be used with other symbolic numerical and algebraic manipulation products
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