A growing body of evidence suggests that financial literacy plays an important role in financial well-being, and that differences in financial knowledge acquired early in life can explain a significant part of financial and more general well-being in adult life. Financial technology (FinTech) is revolutionizing the financial services industry at an unrivalled pace. Views differ regarding the impact that FinTech is likely to have on personal financial planning, well-being and societal welfare. In an era of mounting student debt, increased (digital) financial inclusion and threats arising from instances of (online) financial fraud, financial education and enlightened financial advising are appropriate policy interventions that enhance financial and overall well-being. Financial Literacy and Responsible Finance in the FinTech Era: Capabilities and Challenges engages in this important academic and policy agenda by presenting a set of seven chapters emanating from four parallel streams of literature related to financial literacy and responsible finance. The chapters in this book were originally published as a special issue of The European Journal of Finance.

In the past China's capital market featured prevalent state ownership and a weak legal environment. It has, however, achieved very substantial development in the past two decades. China has surpassed Japan as the world's second-largest stock market and has also emerged as a leading player in green bonds and Fintech markets. The chapters in this book provide insights on Chinese listed firms and advance the understanding of China's unique institutions. Some important questions are covered including the governance role of foreign investors in partially privatized firms, the financial implications of political connections, the "Chinese model" of commercial banks and regulatory reforms that promote the marketization of the stock markets, among others. These studies have important implications for other emerging economies, on the recent China-US trade conflicts and about the Trump administration's complaints about the role of the Chinese government in capital markets. This book selectively includes the most influential articles from two special issues of The European Journal of Finance, which were based on selections of papers presented at a series of conferences on the Chinese Capital Markets.

The book is motivated by the disruptions introduced by the financial crisis and the many attempts that have followed to propose new ideas and remedies. Assembling contributions by authors from a variety of backgrounds, this collection illustrates the potentials resulting from the marriage of financial economics, complexity theory and an out-of-equilibrium view of the economic world. Challenging the traditional hypotheses that lie behind financial market functioning, new evidence is provided about the hidden factors fuelling bubbles, the impact of agents' heterogeneity, the importance of endogeneity in the information transmission mechanism, the dynamics of herding, the sources of volatility, the portfolio optimization techniques, the financial innovation and the trend identification in a nonlinear time-series framework. Presenting the advances made in financial market analysis, and putting emphasis on nonlinear dynamics, this book suggests interdisciplinary methodologies for the study of well-known stylised facts and financial abnormalities. This book was originally published as a special issue of The European Journal of Finance.

This book brings together the latest research in the areas of market microstructure and high-frequency finance along with new econometric methods to address critical practical issues in these areas of research. Thirteen chapters, each of which makes a valuable and significant contribution to the existing literature have been brought together, spanning a wide range of topics including information asymmetry and the information content in limit order books, high-frequency return distribution models, multivariate volatility forecasting, analysis of individual trading behaviour, the analysis of liquidity, price discovery across markets, market microstructure models and the information content of order flow. These issues are central both to the rapidly expanding practice of high frequency trading in financial markets and to the further development of the academic literature in this area. The volume will therefore be of immediate interest to practitioners and academics. This book was originally published as a special issue of European Journal of Finance.

In the past China's capital market featured prevalent state ownership and a weak legal environment. It has, however, achieved very substantial development in the past two decades. China has surpassed Japan as the world's second-largest stock market and has also emerged as a leading player in green bonds and Fintech markets. The chapters in this book provide insights on Chinese listed firms and advance the understanding of China's unique institutions. Some important questions are covered including the governance role of foreign investors in partially privatized firms, the financial implications of political connections, the "Chinese model" of commercial banks and regulatory reforms that promote the marketization of the stock markets, among others. These studies have important implications for other emerging economies, on the recent China-US trade conflicts and about the Trump administration's complaints about the role of the Chinese government in capital markets. This book selectively includes the most influential articles from two special issues of The European Journal of Finance, which were based on selections of papers presented at a series of conferences on the Chinese Capital Markets.

The book is motivated by the disruptions introduced by the financial crisis and the many attempts that have followed to propose new ideas and remedies. Assembling contributions by authors from a variety of backgrounds, this collection illustrates the potentials resulting from the marriage of financial economics, complexity theory and an out-of-equilibrium view of the economic world. Challenging the traditional hypotheses that lie behind financial market functioning, new evidence is provided about the hidden factors fuelling bubbles, the impact of agents' heterogeneity, the importance of endogeneity in the information transmission mechanism, the dynamics of herding, the sources of volatility, the portfolio optimization techniques, the financial innovation and the trend identification in a nonlinear time-series framework. Presenting the advances made in financial market analysis, and putting emphasis on nonlinear dynamics, this book suggests interdisciplinary methodologies for the study of well-known stylised facts and financial abnormalities. This book was originally published as a special issue of The European Journal of Finance.

Portfolio theory and much of asset pricing, as well as many empirical applications, depend on the use of multivariate probability distributions to describe asset returns. Traditionally, this has meant the multivariate normal (or Gaussian) distribution. More recently, theoretical and empirical work in financial economics has employed the multivariate Student (and other) distributions which are members of the elliptically symmetric class. There is also a growing body of work which is based on skew-elliptical distributions. These probability models all exhibit the property that the marginal distributions differ only by location and scale parameters or are restrictive in other respects. Very often, such models are not supported by the empirical evidence that the marginal distributions of asset returns can differ markedly. Copula theory is a branch of statistics which provides powerful methods to overcome these shortcomings. This book provides a synthesis of the latest research in the area of copulae as applied to finance and related subjects such as insurance. Multivariate non-Gaussian dependence is a fact of life for many problems in financial econometrics. This book describes the state of the art in tools required to deal with these observed features of financial data. This book was originally published as a special issue of the European Journal of Finance.

This book brings together the latest research in the areas of market microstructure and high-frequency finance along with new econometric methods to address critical practical issues in these areas of research. Thirteen chapters, each of which makes a valuable and significant contribution to the existing literature have been brought together, spanning a wide range of topics including information asymmetry and the information content in limit order books, high-frequency return distribution models, multivariate volatility forecasting, analysis of individual trading behaviour, the analysis of liquidity, price discovery across markets, market microstructure models and the information content of order flow. These issues are central both to the rapidly expanding practice of high frequency trading in financial markets and to the further development of the academic literature in this area. The volume will therefore be of immediate interest to practitioners and academics. This book was originally published as a special issue of European Journal of Finance.

This innovative volume comprises a selection of original research articles offering a broad perspective on various dimensions of asset management in an international capital market environment. The topics covered include risk management and asset pricing models for portfolio management, performance evaluation and performance measurement of equity mutual funds as well as the wide range of bond portfolio management issues. Asset Management and International Capital Markets offers interesting new insights into state-of-the-art asset pricing and asset management research with a focus on international issues. Each chapter makes a valuable contribution to current research and literature, and will be of significant importance to the practice of asset management. This book is a compilation of articles originally published in The European Journal of Finance.

Portfolio theory and much of asset pricing, as well as many empirical applications, depend on the use of multivariate probability distributions to describe asset returns. Traditionally, this has meant the multivariate normal (or Gaussian) distribution. More recently, theoretical and empirical work in financial economics has employed the multivariate Student (and other) distributions which are members of the elliptically symmetric class. There is also a growing body of work which is based on skew-elliptical distributions. These probability models all exhibit the property that the marginal distributions differ only by location and scale parameters or are restrictive in other respects. Very often, such models are not supported by the empirical evidence that the marginal distributions of asset returns can differ markedly. Copula theory is a branch of statistics which provides powerful methods to overcome these shortcomings. This book provides a synthesis of the latest research in the area of copulae as applied to finance and related subjects such as insurance. Multivariate non-Gaussian dependence is a fact of life for many problems in financial econometrics. This book describes the state of the art in tools required to deal with these observed features of financial data. This book was originally published as a special issue of the European Journal of Finance.

A growing body of evidence suggests that financial literacy plays an important role in financial well-being, and that differences in financial knowledge acquired early in life can explain a significant part of financial and more general well-being in adult life. Financial technology (FinTech) is revolutionizing the financial services industry at an unrivalled pace. Views differ regarding the impact that FinTech is likely to have on personal financial planning, well-being and societal welfare. In an era of mounting student debt, increased (digital) financial inclusion and threats arising from instances of (online) financial fraud, financial education and enlightened financial advising are appropriate policy interventions that enhance financial and overall well-being. Financial Literacy and Responsible Finance in the FinTech Era: Capabilities and Challenges engages in this important academic and policy agenda by presenting a set of seven chapters emanating from four parallel streams of literature related to financial literacy and responsible finance. The chapters in this book were originally published as a special issue of The European Journal of Finance.