Finance At The Threshold

Every banking crisis, whatever its particular circumstances, has two features in common with every previous one. Each has been preceded by a period of excessive monetary ease, and by ill thought out regulatory changes. For many the recent hiatus in inter-bank lending has been seen as a blip - enormous in size and global in scope, but, nonetheless, a blip. Finance at the Threshold offers a unique perspective from an English economic and monetary historian. In it the author asks: Why did the banks stop lending to one another, and why now? Was it merely a matter of over-loose credit due to the relaxation of traditional prudence, or did global finance find itself at its limits? Have government bail-outs saved the day or merely postponed the problem? Christopher Houghton Budd offers a radical view of the global financial crisis, spanning a wide gamut of current thinking. He argues that we need, above all, to overcome the left-right divide so much taken for granted today, and promote financial literacy to young people. His contribution to the Transformation and Innovation Series claims that global finance has brought us to the limits of what mechanistic economic explanations can capture. New ideas and above all new instruments are needed so that innovation can shift from its dexterous exploitation of inefficiencies and turn its attention instead to fresh initiative. Finance at the Threshold is essential reading for academics and practitioners concerned with financial and economic policy and needing to develop a sense of the history thus understanding the forward prospects for global finance.

This book summarizes recent Chinese discussions about Internet finance—a new financial business type resulting from an innovative thinking under the new normal—in the light of the actual situation of China in transformation, especially the thirst of the grass-roots economy including medium-small and micro-sized enterprises as well as residents for financial services. The Internet finance is of great significance for optimizing and upgrading the industrial structure, improving the demand structure and reshaping the economic growth mode in China. This book will interest scholars, journalists, and businesspeople.

This book addresses key issues in corporate finance and explores them from financial development and financial stability perspectives in emerging markets. Emerging economies are susceptible to rapidly changing financial sectors and products as well as financial upheavals. In this light, the growing interdependence of states and capital markets, and the risk of crises have an impact on the financing of firms. The chapters in this book highlight how companies and policies in emerging markets are affected and deal with the current post-crisis world. By combining academic and industry insights, the critical issues in corporate finance, financial development, and the preparedness of emerging markets are explored.

A definitive and wide-ranging overview of developments in behavioural finance over the past ten years. This second volume presents twenty recent papers by leading specialists that illustrate the abiding power of behavioural finance.

This book is an introductory exposition of different topics that emerged in the literature as unifying themes between two fields of econometrics of time series, namely nonlinearity and nonstationarity. Papers on these topics have exploded over the last two decades, but they are rarely ex amined together. There is, undoubtedly, a variety of arguments that justify such a separation. But there are also good reasons that motivate their combination. People who are reluctant to a combined analysis might argue that nonlinearity and nonstationarity enhance non-trivial problems, so their combination does not stimulate interest in regard to plausibly increased difficulties. This argument can, however, be balanced by other ones of an economic nature. A predominant idea, today, is that a nonstationary series exhibits persistent deviations from its long-run components (either deterministic or stochastic trends). These persistent deviations are modelized in various ways: unit root models, fractionally integrated processes, models with shifts in the time trend, etc. However, there are many other behaviors inherent to nonstationary processes, that are not reflected in linear models. For instance, economic variables with mixture distributions, or processes that are state-dependent, undergo episodes of changing dynamics. In models with multiple long-run equi libria, the moving from an equilibrium to another sometimes implies hys teresis. Also, it is known that certain shocks can change the economic fundamentals, thereby reducing the possibility that an initial position is re-established after a shock (irreversibility).

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.

Computational models and methods are central to the analysis of economic and financial decisions. Simulation and optimisation are widely used as tools of analysis, modelling and testing. The focus of this book is the development of computational methods and analytical models in financial engineering that rely on computation. The book contains eighteen chapters written by leading researchers in the area on portfolio optimization and option pricing; estimation and classification; banking; risk and macroeconomic modelling. It explores and brings together current research tools and will be of interest to researchers, analysts and practitioners in policy and investment decisions in economics and finance.