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Written for undergraduate and graduate students of finance, economics and business, the fourth edition of Financial Markets and Institutions provides a fresh analysis of the European financial system. Combining theory, data and policy, this successful textbook examines and explains financial markets, financial infrastructures, financial institutions, and the challenges of financial supervision and competition policy. The fourth edition features not only greater discussion of the financial and euro crises and post-crisis reforms, but also new market developments like FinTech, blockchain, cryptocurrencies and shadow banking. On the policy side, new material covers unconventional monetary policies, the Banking Union, the Capital Markets Union, Brexit, the Basel III capital adequacy framework for banking supervision and macroprudential policies. The new edition also features wider international coverage, with greater emphasis on comparisons with countries outside the European Union, including the United States, China and Japan.
Written for undergraduate and graduate students, this textbook provides a fresh analysis of the European financial system.
A comprehensive and timely edition on an emerging new trend in time series Linear Models and Time-Series Analysis: Regression, ANOVA, ARMA and GARCH sets a strong foundation, in terms of distribution theory, for the linear model (regression and ANOVA), univariate time series analysis (ARMAX and GARCH), and some multivariate models associated primarily with modeling financial asset returns (copula-based structures and the discrete mixed normal and Laplace). It builds on the author's previous book, Fundamental Statistical Inference: A Computational Approach, which introduced the major concepts of statistical inference. Attention is explicitly paid to application and numeric computation, with examples of Matlab code throughout. The code offers a framework for discussion and illustration of numerics, and shows the mapping from theory to computation. The topic of time series analysis is on firm footing, with numerous textbooks and research journals dedicated to it. With respect to the subject/technology, many chapters in Linear Models and Time-Series Analysis cover firmly entrenched topics (regression and ARMA). Several others are dedicated to very modern methods, as used in empirical finance, asset pricing, risk management, and portfolio optimization, in order to address the severe change in performance of many pension funds, and changes in how fund managers work. Covers traditional time series analysis with new guidelines Provides access to cutting edge topics that are at the forefront of financial econometrics and industry Includes latest developments and topics such as financial returns data, notably also in a multivariate context Written by a leading expert in time series analysis Extensively classroom tested Includes a tutorial on SAS Supplemented with a companion website containing numerous Matlab programs Solutions to most exercises are provided in the book Linear Models and Time-Series Analysis: Regression, ANOVA, ARMA and GARCH is suitable for advanced masters students in statistics and quantitative finance, as well as doctoral students in economics and finance. It is also useful for quantitative financial practitioners in large financial institutions and smaller finance outlets.
Home bias - the empirical phenomenon that investors assign anomalously high weights to their own domestic assets - has puzzled academics for decades: financial theory predicts that an internationally well diversified portfolio of stocks and short-term bonds can reduce risk significantly without affecting expected return. Although the globalization of international equity markets has increased international investments, equity portfolios remain severely home biased today, and no single explanation seems to solve the puzzle completely. In this paper, we first provide a thorough description of the equity home bias phenomenon by defining, discussing, and applying the competing measures and presenting some estimates of the costs of under-diversification. Second, we evaluate the explanations for the equity home bias proposed in the literature such as information asymmetries, behavioral aspects, barriers to foreign investment, and governance issues, and conclude that each explanation on its own falls short, suggesting that the equity home bias probably reflects a combination of factors. Lastly, we review the implications of international under-diversification for portfolio formation and the cost of capital of companies.
Portfolio Diversification provides an update on the practice of combining several risky investments in a portfolio with the goal of reducing the portfolio's overall risk. In this book, readers will find a comprehensive introduction and analysis of various dimensions of portfolio diversification (assets, maturities, industries, countries, etc.), along with time diversification strategies (long term vs. short term diversification) and diversification using other risk measures than variance. Several tools to quantify and implement optimal diversification are discussed and illustrated. - Focuses on portfolio diversification across all its dimensions - Includes recent empirical material that was created and developed specifically for this book - Provides several tools to quantify and implement optimal diversification
Is the euro area getting closer with regard to business cycles? The study investigates the linkage between business cycle convergence and financial portfolio choice for a panel of 18 European countries. For this purpose an index is constructed which measures the similarity of investment portfolios. The idea is that financial portfolio choice has an impact on business cycles and contributes to convergence via the consumption-wealth linkage. The background of the analysis is the International Asset Pricing Model (IAPM). The results of fixed effects GMM TSLS estimations confirm the linkage. The effect is higher for country-pairs that are built by one euro area member and one member outside the euro area.
This unique volume presents new original research exploring factors that lead to investors behavioral biases. It discusses how features such as professionalism, sophistication, gender, media, and culture influence investors' decision-making in general, and in particular, how they generate (or limit) behavioral and cognitive biases. The effects of these factors on capital markets are also discussed. The book is based on the discussions and presentations at the First Israel Behavioral Finance Conference, which took place in Tel Aviv in May 2015. It examines in greater detail some of the key issues discussed at the conference.This is an innovative book in behavioral finance: it is the first to present an extensive collection of papers which discuss a comprehensive array of factors that influence or define investor character and analyzes these factors' effects on financial markets. The book is useful for readers interested in understanding the factors that influence investors' profiles and thus their behavioral biases. The book will be of great interest to researchers and students seeking a reference book which contains timely research on these areas of behavioral finance.
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.