The degree of comovement across national stock markets has increased dramatically since the mid-1990s. This has overturned a stylized fact in the international portfolio diversification literature that diversifying across countries is more effective for risk reduction than diversifying across industries. We investigate if this rise in comovement is a permanent phenomenon driven by greater economic and financial integration, or a temporary effect associated with the recent stock market bubble. At the global level, our results point to the bubble. At a regional level, we find evidence of a significant rise in market integration within Europe, possibly a reflection of institutional changes such as the EMU.
The degree of comovement across national stock markets has increased dramatically since the mid-1990s. This has overturned a stylized fact in the international portfolio diversification literature that diversifying across countries is more effective for risk reduction than diversifying across industries. We investigate if this rise in comovement is a permanent phenomenon driven by greater economic and financial integration, or a temporary effect associated with the recent stock market bubble. At the global level, our results point to the bubble. At a regional level, we find evidence of a significant rise in market integration within Europe, possibly a reflection of institutional changes such as the EMU.
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.
A stylized fact in the portfolio diversification literature is that diversifying across countries is more effective than diversifying across industries in terms of risk reduction. But with the rise in comovement across national stock markets since the mid-1990s, this no longer appears to be true. We explore whether this change is driven by global integration and therefore likely to be permanent, or if it is a temporary phenomenon associated with the recent stock market bubble. Our results point to the latter hypothesis. In the aftermath of the bubble, diversifying across countries may therefore still be effective in reducing portfolio risk.
We explore the link between international stock market comovement and the degree to which firms operate globally. Using stock returns and balance sheet data for companies in 20 countries, we estimate a factor model that decomposes stock returns into global, country-specific and industry-specific shocks. We find a large and highly significant link: on average, a firm raising its international sales by 10 percent raises the exposure of its stock return to global shocks by 2 percent and reduces its exposure to country-specific shocks by 1.5 percent. This link has grown stronger since the mid-1980s.
This volume of "International Finance Review" focuses on the Asia-Pacific financial markets. A total of 22 original papers, not published elsewhere, have been selected from a competitive field. These papers utilize a variety of methods, including theoretical, empirical and qualitative to highlight a range of issues across the region. Several papers offer combinations of these different categories and among the empirical papers, there are a wide variety of datasets analyzed. While China does play a significant part in the analysis of five of the papers in this volume (this is to be expected given its importance in the region), a host of other countries are also considered. This ensures the volume is truly international in its scope. These papers each serve to contribute to the knowledge on a particular issue related to the financial markets within this region and for this volume, three main issues have been identified: integration, innovation and challenges. Articles are contributed by experts in their fields. It is truly international in scope.
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.
The new edition of Janette Rutterford's classic textbook has been updated to take account of all practical, technical and legal developments since the last edition was published. Now enhanced by a range of student-friendly features, the focus remains on the London Stock Exchange, but a global perspective is adopted where appropriate. Also available is a companion website with extra features to accompany the text, please take a look by clicking below - http://www.palgrave.com/business/rutterford/
Handbook of Frontier Markets: Evidence from Asia and International Comparative Studies provides novel insights from academic perspectives about the behavior of investors and prices in several frontier markets. It explores finance issues usually reserved for developed and emerging markets in order to gauge whether these issues are relevant and how they manifest themselves in frontier markets. Frontier markets have now become a popular investment class among institutional investors internationally, with major financial services providers establishing index-benchmarks for this market-category. The anticipation for frontier markets is optimistic uncertainty, and many people believe that, given their growth rates, these markets will be economic success stories. Irrespective of their degrees of success, The Handbook of Frontier Markets can help ensure that the increasing international investment diverted to them will aid in their greater integration within the global financial system. - Presents topics in the contexts of frontier markets and uses tests based on established methodologies from finance research - Features contributing authors who are established university academics - Emphasizes financial institutions and applications of financial risk models - Explores finance issues usually reserved for developed and emerging markets in order to gauge whether these issues are relevant and how they manifest themselves in frontier markets
Markov chains have increasingly become useful way of capturing stochastic nature of many economic and financial variables. Although the hidden Markov processes have been widely employed for some time in many engineering applications e.g. speech recognition, its effectiveness has now been recognized in areas of social science research as well. The main aim of Hidden Markov Models: Applications to Financial Economics is to make such techniques available to more researchers in financial economics. As such we only cover the necessary theoretical aspects in each chapter while focusing on real life applications using contemporary data mainly from OECD group of countries. The underlying assumption here is that the researchers in financial economics would be familiar with such application although empirical techniques would be more traditional econometrics. Keeping the application level in a more familiar level, we focus on the methodology based on hidden Markov processes. This will, we believe, help the reader to develop more in-depth understanding of the modeling issues thereby benefiting their future research.
