Professors Eric Ghysels, Massimiliano Marcellino and Jonas Straukas will a three-day course entitled “What's New in Mixed Frequency Data (MIDAS), with Applications to Machine Learning and Big Data”. The focus of the course is the use of mixed frequency data in economics and finance. A...

Program: Session 1: Structural Modelling of Climate Change; Session 2: Climate Change and Monetary Policy; Session 3: Climate Stress Testing.

After the hiatus in 2020 due to the worldwide pandemic, the WEHIA workshop series will restart. Since the public health situation is still difficult, this year the conference will be held online. To enhance the visibility and sense of belonging of our community WEHIA 2021 will spread out across...

The goal of the ERFIN workshops is to promote modern quantitative methods (especially econometric models) and their applications in finance and economics. We invite high-quality theoretical and empirical papers from junior and senior researchers. The topics include (but are not limited to): -...

The SoFiE Financial Econometrics Schools are annual week-long research-based courses for Ph.D. students and new faculty in financial econometrics. The course is intended for Ph.D. students and researchers in statistics, econometrics and finance. It covers an introduction to statistical machine...

This session focuses on recent advances in macro finance as well as the use of computational techniques in this field. Possible topics include but are not limited to the following: asset pricing, investor heterogeneity, learning and ambiguity, new preference structures for pricing models, or...

Theme: “The Econometrics of Derivatives Markets” Topics for the Summer School: - Introduction to Financial Market Volatility Estimation and Modeling - Review of High-Frequency Econometrics for Financial Data - Analysis of Risk Premiums in Continuous-Time Models - Econometrics for Parametric...

The goal of the conference is to promote the exchange of ideas and experience among economists conducting quantitative analysis for policy and decision making in the public and private sectors. The conference will cover all areas of modeling and data science applied to monetary, financial,...

Subject Areas: Bayesian methods; Big Data; Business cycles; Climate and environment; Combinations; Crime; Data mining; Demand; Demography; Denisty; Econometrics; Education; Energy; Exponential smoothing; Finance; Forecast evaluation; Government forecasting; Healthcare; Inflation; Intermittent demand;...

This biennial conference provides a forum for new theoretical and applied work on forecasting. For more than a decade the world economy has operated under elevated economic, financial and political risks, and it has recently been hit by economic shutdowns of unprecedented length owing to the...