Empirical Finance for Finance and Banking provides the student with a relatively non-technical guide to some of the key topics in finance where empirical methods play an important role Written for students taking Master’s degrees in finance and banking, it is also suitable for students and researchers in other areas, including economics. The first three introductory chapters outline the structure of the book and review econometric and statistical techniques, while the remaining chapters discuss various topics, including: portfolio theory and asset allocation, asset pricing and factor models, market efficiency, modelling and forecasting exchange and interest rates and Value at Risk. Understanding these topics and the methods covered will be helpful for students interested in working as analysts and researchers in financial institutions.

There is no denying the role of empirical research in finance and the remarkable progress of empirical techniques in this research field. This Special Issue focuses on the broad topic of “Empirical Finance” and includes novel empirical research associated with financial data. One example includes the application of novel empirical techniques, such as machine learning, data mining, wavelet transform, copula analysis, and TV-VAR, to financial data. The Special Issue includes contributions on empirical finance, such as algorithmic trading, market efficiency, market microstructure, portfolio theory and asset allocation, asset pricing models, liquidity risk premium, currency crisis, return predictability, and volatility modeling.

This impressive Handbook presents the quantitative techniques that are commonly employed in empirical finance research together with real-world, state-of-the-art research examples. Written by international experts in their field, the unique approach describes a question or issue in finance and then demonstrates the methodologies that may be used to solve it. All of the techniques described are used to address real problems rather than being presented for their own sake, and the areas of application have been carefully selected so that a broad range of methodological approaches can be covered. The Handbook is aimed primarily at doctoral researchers and academics who are engaged in conducting original empirical research in finance. In addition, the book will be useful to researchers in the financial markets and also advanced Masters-level students who are writing dissertations.

Experts report on the latest research on extending access to financial services to the 2.5 billion adults around the world who lack it. About 2.5 billion adults, just over half the world's adult population, lack bank accounts. If we are to realize the goal of extending banking and other financial services to this vast “unbanked” population, we need to consider not only such product innovations as microfinance and mobile banking but also issues of data accuracy, impact assessment, risk mitigation, technology adaptation, financial literacy, and local context. In Banking the World, experts take up these topics, reporting on new research that will guide both policy makers and scholars in a broader push to extend financial markets. The contributors consider such topics as the complexity of surveying people about their use of financial services; evidence of the impact of financial services on income; the occasional negative effects of financial services on poor households, including disincentives to work and overindebtedness; and tools for improving access such as nontraditional credit scores, financial incentives for banking, and identification technologies that can dramatically reduce loan default rates.

This book makes two key contributions to empirical finance. First it provides a comprehensive analysis of the Thai stock market. Second it presents an excellent exposition ofhow modem econometric techniques can be utilised to understand a market. The increasing globalisation of the world's financial markets has made our un derstanding of the risk-return relationship in a broader range of markets critical. This is particularly so in emerging markets where market depth and liquidity are major issues. One such emerging market is Thailand. The Thai capital market isof particular interest given that it was the market in which the Asian financial crises commenced. As such an understanding ofthe Thai capital market via study of the pre and post-crisis periods enables one to shed light on one of the major financial markets events of recent times. This book provides a quantitative analysis of the Thai capital market using some very useful and recent econometric techniques. The book provides an over view of the Thai stock market in chapter 2. Descriptive statistics and time series models (moving average, exponential smoothing, ARIMA) are presented in chap ter 3 followed by market efficiency tests based on autocorrelations in chapter 4. A richer set of models is then considered in chapters 5 through 8. Chapter 5 finds a cointegrating relationship between macroeconomic factors and stock returns.

Includes traditional elements of financial econometrics but is not yet another volume in econometrics. Discusses statistical and probability techniques commonly used in quantitative finance. The reader will be able to explore more complex structures without getting inundated with the underlying mathematics.

Judging by the sheer number of papers reviewed in this Handbook, the empirical analysis of firms' financing and investment decisions—empirical corporate finance—has become a dominant field in financial economics. The growing interest in everything "corporate is fueled by a healthy combination of fundamental theoretical developments and recent widespread access to large transactional data bases. A less scientific—but nevertheless important—source of inspiration is a growing awareness of the important social implications of corporate behavior and governance. This Handbook takes stock of the main empirical findings to date across an unprecedented spectrum of corporate finance issues, ranging from econometric methodology, to raising capital and capital structure choice, and to managerial incentives and corporate investment behavior. The surveys are written by leading empirical researchers that remain active in their respective areas of interest. With few exceptions, the writing style makes the chapters accessible to industry practitioners. For doctoral students and seasoned academics, the surveys offer dense roadmaps into the empirical research landscape and provide suggestions for future work.*The Handbooks in Finance series offers a broad group of outstanding volumes in various areas of finance*Each individual volume in the series should present an accurate self-contained survey of a sub-field of finance*The series is international in scope with contributions from field leaders the world over

Includes traditional elements of financial econometrics but is not yet another volume in econometrics. Discusses statistical and probability techniques commonly used in quantitative finance. The reader will be able to explore more complex structures without getting inundated with the underlying mathematics.

This book provides a critical evaluation of the literature on finance, investment and innovation and proposes new research methods for evaluating the comparative performance of financial systems in supporting innovation. The comparative advantage of this book is that of being directly focused on one of the main unsolved issues in monetary and financial economics: the relative effectiveness of national financial systems in supporting innovation. It proposes various theoretical and empirical contributions that, taken together, allow to evaluate the relative effectiveness of some of the most important country systems such as Japan, and the UK and Italy.

This paper reexamines the empirical relationship between financial development and economic growth. It presents evidence based on cross-section and panel data using an updated dataset, a variety of econometric methods, and two standard measures of financial development: the level of liquid liabilities of the banking system and the amount of credit issued to the private sector by banks and other financial institutions. The paper identifies two sets of findings. First, in contrast with the recent evidence of Levine, Loayza, and Beck (2001), cross-section and panel-data-instrumental-variables regressions reveal that the relationship between financial development and economic growth is, at best, weak. Second, there is evidence of nonlinearities in the data, suggesting that finance matters for growth only at intermediate levels of financial development. Moreover, using a procedure appropriately designed to estimate long-run relationships in a panel with heterogeneous slope coefficients, there is no clear indication that finance spurs economic growth. Instead, for some specifications, the relationship is, puzzlingly, negative.