The COVID-19 global health pandemic, which started in late December 2019, forced many countries to adopt unusual measures such as social distancing and strict lockdowns. It changed many of our certainties and practices, including the foundations of the market-led version of capitalism, by bringing social and health considerations back to the forefront of firms' considerations, investors' strategies and governments' priorities. Under the effects of this unprecedented crisis, all sectors of finance and real economy have been seriously affected.Health uncertainties and their increasing consequences for human life and activities require stronger and faster actions to shape pathways towards sustainability and better resilience. The COVID-19 health crisis is a visible part of a greater iceberg: the World Health Organization has tracked, over recent years, a large number of epidemic events around the world, suggesting that many other similar diseases could appear and evolve in the future from epidemic to pandemic in a globalized world.Financial Transformations Beyond the COVID-19 Health Crisis was specifically designed to provide the readers with new results, recent findings and future outlook on the impacts of COVID-19 on financial markets, firm behaviors, and finance and investment strategies. It favors multidimensional perspectives and brings together conceptual, empirical and policy-oriented chapters, using quantitative and qualitative methods alike. This is a timely and comprehensive collection of theoretical, empirical and policy contributions from renowned scholars around the world, and provides the thoughts and insights required to rethink the financial sector in the event of new shocks of the same nature.

This book provides fresh insights into concepts, methods and new research findings on the causes of excessive food price volatility. It also discusses the implications for food security and policy responses to mitigate excessive volatility. The approaches applied by the contributors range from on-the-ground surveys, to panel econometrics and innovative high-frequency time series analysis as well as computational economics methods. It offers policy analysts and decision-makers guidance on dealing with extreme volatility.

A leading pioneer in the field offers practical applications of this innovative science. Peters describes complex concepts in an easy-to-follow manner for the non-mathematician. He uses fractals, rescaled range analysis and nonlinear dynamical models to explain behavior and understand price movements. These are specific tools employed by chaos scientists to map and measure physical and now, economic phenomena.

This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.

This book is a collection of papers for the Special Issue “Quantitative Methods for Economics and Finance” of the journal Mathematics. This Special Issue reflects on the latest developments in different fields of economics and finance where mathematics plays a significant role. The book gathers 19 papers on topics such as volatility clusters and volatility dynamic, forecasting, stocks, indexes, cryptocurrencies and commodities, trade agreements, the relationship between volume and price, trading strategies, efficiency, regression, utility models, fraud prediction, or intertemporal choice.