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This timely volume addresses three important recent trends in the internationalization of United States equity markets: extensive market integration through foreign investment and links among stock prices around the world; increasing securitization as countries such as Japan come to rely more than ever before on markets in equities and bonds at the expense of banks; and the opening of national financial systems of newly industrializing countries to international financial flows and institutions, as governments remove capital controls and other barriers. Eight essays examine such issues as the current extent of international market integration, gains to U.S. investors through international diversification, home-country bias in investing, the role of time and location around the world in stock trading, and the behavior of country funds. Other, long-standing questions about equity markets are also addressed, including market efficiency and the accuracy of models of expected returns, with a particular focus on variances, covariances, and the price of risk according to the Capital Asset Pricing Model.
Recent changes in technology, along with the opening up of many regions previously closed to investment, have led to explosive growth in the international movement of capital. Flows from foreign direct investment and debt and equity financing can bring countries substantial gains by augmenting local savings and by improving technology and incentives. Investing companies acquire market access, lower cost inputs, and opportunities for profitable introductions of production methods in the countries where they invest. But, as was underscored recently by the economic and financial crises in several Asian countries, capital flows can also bring risks. Although there is no simple explanation of the currency crisis in Asia, it is clear that fixed exchange rates and chronic deficits increased the likelihood of a breakdown. Similarly, during the 1970s, the United States and other industrial countries loaned OPEC surpluses to borrowers in Latin America. But when the U.S. Federal Reserve raised interest rates to control soaring inflation, the result was a widespread debt moratorium in Latin America as many countries throughout the region struggled to pay the high interest on their foreign loans. International Capital Flows contains recent work by eminent scholars and practitioners on the experience of capital flows to Latin America, Asia, and eastern Europe. These papers discuss the role of banks, equity markets, and foreign direct investment in international capital flows, and the risks that investors and others face with these transactions. By focusing on capital flows' productivity and determinants, and the policy issues they raise, this collection is a valuable resource for economists, policymakers, and financial market participants.
This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.
An Introduction to Wavelets and Other Filtering Methods in Finance and Economics presents a unified view of filtering techniques with a special focus on wavelet analysis in finance and economics. It emphasizes the methods and explanations of the theory that underlies them. It also concentrates on exactly what wavelet analysis (and filtering methods in general) can reveal about a time series. It offers testing issues which can be performed with wavelets in conjunction with the multi-resolution analysis. The descriptive focus of the book avoids proofs and provides easy access to a wide spectrum of parametric and nonparametric filtering methods. Examples and empirical applications will show readers the capabilities, advantages, and disadvantages of each method. - The first book to present a unified view of filtering techniques - Concentrates on exactly what wavelets analysis and filtering methods in general can reveal about a time series - Provides easy access to a wide spectrum of parametric and non-parametric filtering methods
This introduction to wavelet analysis 'from the ground level and up', and to wavelet-based statistical analysis of time series focuses on practical discrete time techniques, with detailed descriptions of the theory and algorithms needed to understand and implement the discrete wavelet transforms. Numerous examples illustrate the techniques on actual time series. The many embedded exercises - with complete solutions provided in the Appendix - allow readers to use the book for self-guided study. Additional exercises can be used in a classroom setting. A Web site offers access to the time series and wavelets used in the book, as well as information on accessing software in S-Plus and other languages. Students and researchers wishing to use wavelet methods to analyze time series will find this book essential.
An essential introduction to one of the most timely and important subjects in economics International Macroeconomics presents a rigorous and theoretically elegant treatment of real-world international macroeconomic problems, incorporating the latest economic research while maintaining a microfounded, optimizing, and dynamic general equilibrium approach. This one-of-a-kind textbook introduces a basic model and applies it to fundamental questions in international economics, including the determinants of the current account in small and large economies, processes of adjustment to shocks, the determinants of the real exchange rate, the role of fixed and flexible exchange rates in models with nominal rigidities, and interactions between monetary and fiscal policy. The book confronts theoretical predictions using actual data, highlighting both the power and limits of given theories and encouraging critical thinking. Provides a rigorous and elegant treatment of fundamental questions in international macroeconomicsBrings undergraduate and master’s instruction in line with modern economic researchFollows a microfounded, optimizing, and dynamic general equilibrium approachAddresses fundamental questions in international economics, such as the role of capital controls in the presence of financial frictions and balance-of-payments crisesUses real-world data to test the predictions of theoretical modelsFeatures a wealth of exercises at the end of each chapter that challenge students to hone their theoretical skills and scrutinize the empirical relevance of modelsAccompanied by a website with lecture slides for every chapter
It is an established fact that investors favor the familiar%u2014be it domestic securities or, within a country, the securities of nearby firms%u2014and avoid investments that would provide the greatest diversification benefits. While we do not rule out familiarity as an important driver of portfolio allocations, we provide new evidence of investors%u2019 international diversification motive. In particular, our analysis of the security-level U.S. equity holdings of foreign and domestic institutional investors indicates that institutional investors reveal a preference for domestic multinationals (MNCs), even after controlling for familiarity factors. We attribute this revealed preference to the desire to obtain %u201Csafe%u201D international diversification. We then show that holdings of domestic MNCs are substantial and, after accounting for this home-grown foreign exposure, that the share of %u201Cforeign%u201D equities in investors%u2019 portfolios roughly doubles, reducing (but not eliminating) the observed home bias.