The Wharton Model is extrapolated for 24 quarters with appropriate assumptions. The problems involved in specifying a fresh model for long range forecasting are then outlined, including "endogenizing ...

This is a preview. Log in through your library . Abstract The aim of this paper is that of giving a finer insight into the analytic foundations of vector autoregressive models (VAR) in comparison with ...

Econometrics is often misunderstood and viewed with suspicion. But used appropriately it is a powerful tool to maximise the effectiveness of marketing strategies. Econometric modelling allows us to ...

The field of econometrics and statistical methods encompasses a suite of techniques designed to quantify economic relationships, test theories using real-world data, and forecast future trends. This ...

SMU Office of Research & Tech Transfer - Danish physicist Neils Bohr once quipped that prediction is hard, especially when it is about the future. But this is precisely what financial regulators need ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Climate scientists are collaborating with experts in economic theory to improve their forecasting models and assess more accurately the impact of rising atmospheric carbon dioxide levels. Although ...

This course, presented by the Institute for Capacity Development, gives government officials a rigorous foundation estimating of macro-econometric models and their application for nowcasting, ...

This course is compulsory on the MSc in Finance and Economics and MSc in Finance and Economics (Work Placement Pathway). This course is not available as an outside option to students on other ...