Does investor sentiment dynamically impact stock returns from different investor horizons? Evidence from the US stock market using a multi-scale method. Issue 7 (16th April 2018)

• Record Type: Journal Article
• Authors: Jiang, Yonghong; Mo, Bin; Nie, He
• Is Part Of: Applied economics letters. Volume 25:Issue 7(2018)
• Page Start: 472
• Page End: 476
• Publication Date: 2018-04-16
• Subjects: Bivariate empirical mode decomposition -- investor sentiment -- stock returns -- Granger causality; C14 -- C22 -- C32 -- G10 -- G11; Economics -- Periodicals; Economics, Mathematical -- Periodicals; 330
• DOI: 10.1080/13504851.2017.1340558
• Languages: English
• ISSNs: 1350-4851

Abstract

ABSTRACT: This article uses the investor sentiment index to investigate the Granger causality between investor sentiment and stock returns for the US economy using a multi-scale method. To focus on the local analysis of different investor horizons, bivariate empirical mode decomposition is used to decompose time series of investor sentiment and stock returns at different timescales. We employ the linear and nonlinear integrated Granger causality method to examine the causal relationship of decomposed series on similar timescales. The results indicate both strong bilateral linear and nonlinear causality between longer-term investor sentiment and stock returns. However, there is no strong evidence for correlation of stock returns and investor sentiment on shorter timescales.