Financial risk management has become a popular practice amongst financial institutions to protect against the adverse effects of uncertainty caused by fluctuations in interest rates, exchange rates, commodity prices, and equity prices. New financial instruments and mathematical techniques are continuously developed and introduced in financial practice. These techniques are being used by an increasing number of firms, traders and financial risk managers across various industries. Risk and Financial Management: Mathematical and Computational Methods confronts the many issues and controversies, and explains the fundamental concepts that underpin financial risk management. Provides a comprehensive introduction to the core topics of risk and financial management. Adopts a pragmatic approach, focused on computational, rather than just theoretical, methods. Bridges the gap between theory and practice in financial risk management Includes coverage of utility theory, probability, options and derivatives, stochastic volatility and value at risk. Suitable for students of risk, mathematical finance, and financial risk management, and finance practitioners. Includes extensive reference lists, applications and suggestions for further reading. Risk and Financial Management: Mathematical and Computational Methods is ideally suited to both students of mathematical finance with little background in economics and finance, and students of financial risk management, as well as finance practitioners requiring a clearer understanding of the mathematical and computational methods they use every day. It combines the required level of rigor, to support the theoretical developments, with a practical flavour through many examples and applications.
An examination of an area of economic research whereby economists have begun to use laboratories to evaluate economic propositions under carefully controlled conditions. The authors argue for the effectiveness of this technique in selected circumstances.
This completely revised and updated edition includes a comprehensive look at the Telecommunications Act of 1996, its sweeping reforms, and the short-term increase in TC regulation complexity resulting from its passage. An Introduction to U.S. Telecommunications Law, Second Edition is a concise, jargon-free reference describing how electronic media and telecommunications companies are required to price their services, interconnect with customers and other service providers, and respond to competition.
Gross National Product, Canada, 1870-1926: The Derivation of the Estimates sets out in detail the sources of data and methods employed to obtain annual estimates of the gross national product of Canada between 1870 and 1926. Many other data used in compilation of the estimates or as a basis for assessing the accuracy of the estimates are also provided. This information is an important contribution to Canadian economic history, revealing growth and fluctuations in the Canadian economy and providing research material for other scholars.
The value of trading in index futures is currently around $20 trillion and rising. This book describes how index futures work and summarizes the substantial body of empirical data on these markets in a clear and accessible way. With its inclusion of a full range of teaching and learning aids Stock Index Futures is ideal for the undergraduate and graduate.
Fully revised and updated, Problems in Marketing includes over 50 new problems. This varied and challenging collection of problems has been written as a learning aid to any marketing textbook. The problems cover a wide range of marketing practice, each problem concentrating on a single concept or technique of marketing management. Problems begin with a full introduction to the concept followed by explicit instructions for solving them. This leads directly to a series of discussion questions to further enhance the application of each problem. Solutions are also available to lecturers by clicking on the companion website logo above.
Miller and Upton is by far the most cited macroeconomics text in front line academic research journals over the last ten years. It has become a contemporary classic."—Roger C. Kormendi, University of Michigan "The most innovative approach to introducing macroeconomics that I have seen. . . . A 'classic' in the sense that every serious student of macroeconomics is likely to want it in his or her library."—John P. Gould, University of Chicago "The task the authors set out to perform is ambitious: to write a macroeconomics textbook structured around a neoclassical growth model. And in this task they have succeeded."—Clifford W. Smith, Jr., Journal of Finance "This is a superb book. As a vehicle for teaching economics I have to place it right behind Henderson and Quant (Microeconomics) and Dorfman, Samuelson, and Solow (Linear Programming). Moreover, it is an exciting book both to read and to think about. . . . It is not just that these authors have something to say, but their way of saying it is generally superior."—F. E. Banks, Kyklos
The need for a better understanding of the role location plays in economic life was first and most famously made explicit by Bertil Ohlin in 1933. However it is only recently, with the development of computer packages able to handle complex systems, as well as advances in economic theory (in particular an increased understanding of returns to scale and imperfect competition), that Ohlin s vision has been met and a framework developed which explains the distribution of economic activity across space. This book is an integrated, non-mathematical, first-principles textbook presenting geographical economics to advanced students. Never avoiding advanced concepts, its emphasis is on examples, diagrams, and empirical evidence, making it the ideal starting point prior to monographic and journal material. Contains copious computer simulation exercises, available in book and electronic format to encourage learning and understanding through application. Uses case study material from North America, Europe, Africa and Australasia.
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