Financial data are typically characterised by a time-series and cross-sectional dimension. Accordingly, econometric modelling in finance requires appropriate attention to these two – or occasionally more than two – dimensions of the data. Panel data techniques are developed to do exactly this. This book provides an overview of commonly applied panel methods for financial applications, including popular techniques such as Fama-MacBeth estimation, one-way, two-way and interactive fixed effects, clustered standard errors, instrumental variables, and difference-in-differences. Panel Methods for Finance: A Guide to Panel Data Econometrics for Financial Applications by Marno Verbeek offers the reader: Focus on panel methods where the time dimension is relatively small A clear and intuitive exposition, with a focus on implementation and practical relevance Concise presentation, with many references to financial applications and other sources Focus on techniques that are relevant for and popular in empirical work in finance and accounting Critical discussion of key assumptions, robustness, and other issues related to practical implementation

Financial data are typically characterised by a time-series and cross-sectional dimension. Accordingly, econometric modelling in finance requires appropriate attention to these two – or occasionally more than two – dimensions of the data. Panel data techniques are developed to do exactly this. This book provides an overview of commonly applied panel methods for financial applications, including popular techniques such as Fama-MacBeth estimation, one-way, two-way and interactive fixed effects, clustered standard errors, instrumental variables, and difference-in-differences. Panel Methods for Finance: A Guide to Panel Data Econometrics for Financial Applications by Marno Verbeek offers the reader: Focus on panel methods where the time dimension is relatively small A clear and intuitive exposition, with a focus on implementation and practical relevance Concise presentation, with many references to financial applications and other sources Focus on techniques that are relevant for and popular in empirical work in finance and accounting Critical discussion of key assumptions, robustness, and other issues related to practical implementation

Based on a systematic literature review, the book aims to forecast the investment scale of Chinese higher education and the allocation structure of different types of higher education institutions in the next decade. The authors first introduce the complex setting of Chinese higher education finance, including the background and theoretical foundation, as well as an in-depth literature review. Via international comparative data, they explore the adequacy and equity of the financial resources. By applying quantitative methods, such as panel data analysis and time series analysis, they forecast the public investment scale in higher education and the allocation structure and proportion among different types of higher education institutions. In addition, the book investigates the standards of teaching funding and teacher research funding, which are considered the main funding resources of Chinese universities and individual teachers. As China has become the world’s largest country of higher education, "how to provide adequate and equal funds to meet the increasing demand" is of great interest to scholars and policymakers both from China and abroad. The book will also appeal to postgraduate students who would like to know the overall status of Chinese higher education finance.

The cooperation and contamination between mathematicians, statisticians and econometricians working in actuarial sciences and finance is improving the research on these topics and producing numerous meaningful scientific results. This volume presents new ideas, in the form of four- to six-page papers, presented at the International Conference eMAF2020 – Mathematical and Statistical Methods for Actuarial Sciences and Finance. Due to the now sadly famous COVID-19 pandemic, the conference was held remotely through the Zoom platform offered by the Department of Economics of the Ca’ Foscari University of Venice on September 18, 22 and 25, 2020. eMAF2020 is the ninth edition of an international biennial series of scientific meetings, started in 2004 at the initiative of the Department of Economics and Statistics of the University of Salerno. The effectiveness of this idea has been proven by wide participation in all editions, which have been held in Salerno (2004, 2006, 2010 and 2014), Venice (2008, 2012 and 2020), Paris (2016) and Madrid (2018). This book covers a wide variety of subjects: artificial intelligence and machine learning in finance and insurance, behavioral finance, credit risk methods and models, dynamic optimization in finance, financial data analytics, forecasting dynamics of actuarial and financial phenomena, foreign exchange markets, insurance models, interest rate models, longevity risk, models and methods for financial time series analysis, multivariate techniques for financial markets analysis, pension systems, portfolio selection and management, real-world finance, risk analysis and management, trading systems, and others. This volume is a valuable resource for academics, PhD students, practitioners, professionals and researchers. Moreover, it is also of interest to other readers with quantitative background knowledge.

Tourism is often a key driver of economic growth in many countries. The recent upward trends of tourism and hospitality education in higher academic institutions in Bangladesh suggests a growing tourism sector. Very little has been written on Bangladesh’s tourism industry. This is the first edited volume published from an international publisher which looks at this industry and how it has developed and flourished. The book begins by looking at tourism policy planning and provides a comprehensive overview of topics from tourism products and services in Bangladesh to how they are being marketed. It also discusses how private and public tourism institutions can address future long term trends. This book will appeal to those interested to learn more about developing tourism industry in emerging economies and may provide invaluable lessons from Bangladesh’s experience and success.

Offers econometrics for finance students with no prior knowledge of the field. Includes case studies, examples and extensive online support.

Government financial assets are increasingly recognized as playing an important role in assessing fiscal sustainability. However, very little research has been done on the dynamics of government financial assets compared to liabilities. In this paper, we investigate the impact of recent financial crises and macroeconomic shocks on government balance sheets, decomposing the separate effects on financial assets and liabilities. Using quarterly Government Finance Statistics (GFS) data, we analyze a panel of 27 countries over the period 1999Q1-2017Q1 through fixed effects and panel VAR techniques. Financial crises are shown to deteriorate the net financial worth of governments, but no significant impact is found on assets suggesting that they are not being used as fiscal buffers in bad times. On the contrary, countries that suffered both financial and banking crises experienced an “artificial” increase of their asset position through bank bailouts. Macroeconomic shock analyses reveal that government balance sheet items are countercyclical, but important asymmetries are found in their dynamics.

Advances in Pacific Basin Business, Economics and Finance is an annual publication designed to focus on interdisciplinary research in finance, economics, and management among Pacific Rim countries.

The regulation of financial intermediaries continues to pose significant challenges to policymakers the world over. The task is especially difficult in emerging markets, where various factors—including macroeconomic volatility, relative under-capitalization of banks, the absence of market discipline and lax supervision—combine to render the banking system fragile. As was evident in the East Asian crisis of the late nineties, this can increase manifold the adverse effects of economic shocks. Taking stock of several important issues in the regulation of financial intermediaries in emerging markets, this volume: - Outlines the direction in which financial regulation should evolve in those markets; - Addresses themes related to optimal regulation as well as issues specific to regulation in the Indian context; - Identifies key elements in the best practices regulation in emerging markets; and - Proposes an innovative approach for setting limits to NPAs in banks. Overall, the original essays gathered here provide a comprehensive account of various important issues involved in regulating financial intermediaries and makes valuable and practical suggestions on how to improve regulation in emerging markets. An important feature of the volume is that it brings together both, scholars from academia and finance professionals from various multilateral agencies. As a consequence, it provides a fine balance between cross-country empirical evidence and conceptual contributions.