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author:

You, W. (You, W..) [1] | Guo, Y. (Guo, Y..) [2] | Peng, C. (Peng, C..) [3]

Indexed by:

Scopus

Abstract:

Using a novel investor sentiment proxy extracted from Twitter, this paper investigates whether investor sentiment as expressed in daily happiness has predictive power for stock returns in 10 international stock markets. To account for complex relationships between sentiment and stock returns, a Granger non-causality test in quantiles is used. Our empirical results indicate that the causal relations vary across different quantiles. We observe that the causal relationship from happiness sentiment to stock returns exist only in high quantiles interval. The causal relationship from stock returns to happiness sentiment exists only in the tail area. © 2017

Keyword:

Daily happiness; Granger non-causality; Investor sentiment; Quantile regression; Stock returns

Community:

  • [ 1 ] [You, W.]School of Economics and Management, Fuzhou university, Fuzhou, China
  • [ 2 ] [Guo, Y.]Business School of Hunan university, Changsha, China
  • [ 3 ] [Peng, C.]Business School of Hunan university, Changsha, China

Reprint 's Address:

  • [You, W.]School of Economics and Management, Fuzhou universityChina

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Source :

Finance Research Letters

ISSN: 1544-6123

Year: 2017

Volume: 23

Page: 58-64

1 . 0 8 5

JCR@2017

7 . 4 0 0

JCR@2023

ESI HC Threshold:195

JCR Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 64

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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