In this paper we consider the predictors of the business cycle in Great Britain, where the claimant count and unemployment rate are found to be key indicators associated with turning points. Next, we consider at a micro-economic level, using disaggregated local authority level data, a number of...

Purpose: The purpose of this study is to detect turning points and phases of expansions and recessions of the Korean restaurant industry. Design/methodology/approach: This study investigated long-term economic trends in the restaurant industry cycle and growth cycle by utilizing yearly data...

This paper discusses formal quantitative algorithms that can be used to identify business cycle turning points. An intuitive, graphical derivation of these algorithms is presented along with a description of how they can be implemented making very minimal distributional assumptions. We also...

Turning points are the Achilles' heel of time-series momentum portfolios. Slow signals fail to react quickly to changes in trend while fast signals are often false alarms. We examine theoretically and empirically how momentum portfolios of various intermediate speeds, formed by blending slow and...

We propose a granular framework that makes use of advanced statistical methods to approximate developments in economy-wide expected corporate earnings. In particular, we evaluate the dynamic network structure of stock returns in the United States as a proxy for the transmission of shocks through...

Business climate indicators are used to receive early signals for turning points in the general business cycle. Therefore methods for the detection of turning points in time series are required. Estimations of slopes of a smooth component in the data can be calculated with local polynomial...