Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

This chapter surveys recent developments in the evaluation of point forecasts. Taking West's
(2006) survey as a starting point, we briefly cover the state of the literature as of the time of …

This paper constructs a manager sentiment index based on the aggregated textual tone of
corporate financial disclosures. We find that manager sentiment is a strong negative …

We propose a new investor sentiment index that is aligned with the purpose of predicting the
aggregate stock market. By eliminating a common noise component in sentiment proxies …

Academic research relies extensively on macroeconomic variables to forecast the US equity
risk premium, with relatively little attention paid to the technical indicators widely employed …

This chapter examines different approaches to the measurement of multidimensional
inequality and poverty. It first outlines three aspects preliminary to any multidimensional …

By applying machine learning to the accurate and cost-effective classification of photos
based on sentiment, we introduce a daily market-level investor sentiment index (Photo …

The forecasting literature has identified two important issues:(i) several predictors have
substantial and statistically significant predictive content, although only sporadically, and it is …

We suggest the use of an Internet job-search indicator (the Google Index, GI) as the best
leading indicator to predict the US unemployment rate. We perform a deep out-of-sample …

This study investigates the forecasting ability of the Climate Policy Uncertainty (CPU) index
on the global renewable energy market returns. We show that CPU is of great excellence …