Discrete Time Stochastic Volatility Models And Mcmc Based Statistical Inference

Discrete-Time Stochastic Volatility Models and MCMC-Based Statistical Inference

Proceedings of the 2022 2nd International Conference on Financial Management and Economic Transition (FMET 2022)

This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. Such endeavors are making new contributions to the globalization and creating a community of shared future. FMET is to bring together innovative academics and industrial experts in the field of Financial Management and Economic to a common forum. We will discuss and study about Financial marketing, Corporate finance, Management and administration of commercial Banks, International trade theory and practice, Economy and foreign economic management, Economic information management and other fields. FMET 2022 also aims to provide a platform for experts, scholars, engineers, technicians and technical R & D personnel to share scientific research achievements and cutting-edge technologies, understand academic development trends, expand research ideas, strengthen academic research and discussion, and promote the industrialization cooperation of academic achievements. To adapt to this changing world and China's fast development in the new era, 2022 2nd International Conference on Financial Management and Economic Transition to be held in August 2022. This conference takes "bringing together global wisdom in scientific innovation to promote high-quality development" as the theme and focuses on cutting-edge research fields including Financial Management and Economic Transition. FMET 2022 encourages the exchange of information at the forefront of research in different fields, connects the most advanced academic resources in China and the world, transforms research results into industrial solutions, and brings together talent, technology and capital to drive development. The conference sincerely invites experts, scholars, business people and other relevant personnel from universities, scientific research institutions at home and abroad to attend and exchange!

Macroeconomic Forecasting in the Era of Big Data

This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture dynamic relationships among variables; how to select parsimonious models; how to deal with model uncertainty, instability, non-stationarity, and mixed frequency data; and how to evaluate forecasts, among others. Each chapter is self-contained with references, and provides solid background information, while also reviewing the latest advances in the field. Accordingly, the book offers a valuable resource for researchers, professional forecasters, and students of quantitative economics.