This is a preview. Log in through your library . Abstract In this paper four alternative quarterly econometric models of investment behavior are fitted to a common set of data for individual ...

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

Spatial econometrics addresses the challenges posed by spatially correlated data, enabling researchers to understand and quantify how economic phenomena in one location can influence those in ...

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 ...

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

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, ...

Businesses are always keen to improve their return on investments in marketing spend. For achieving this objective, understanding the full cycle of the customer journey across various channels is ...