TY - JOUR
T1 - Can happiness predict future volatility in stock markets?
AU - Naeem, Muhammad Abubakr
AU - Farid, Saqib
AU - Faruk, Balli
AU - Shahzad, Syed Jawad Hussain
N1 - Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/12
Y1 - 2020/12
N2 - In this paper, we use the Twitter based happiness index as a proxy for investor sentiment in order to examine whether happiness influences future market volatility of country VIX indexes. Our sample includes the major stock markets of the USA, Canada, UK, Germany, France, Netherlands, Switzerland, Japan, China, Hong Kong, India, Brazil, South Korea, and South Africa. Using linear and nonlinear causality tests, we find that Twitter happiness significantly causes the future volatility of the sample countries. The robustness checks show no divergence from our primary findings and provide strong evidence of a nonlinear relationship between investor sentiment and future stock market volatility.
AB - In this paper, we use the Twitter based happiness index as a proxy for investor sentiment in order to examine whether happiness influences future market volatility of country VIX indexes. Our sample includes the major stock markets of the USA, Canada, UK, Germany, France, Netherlands, Switzerland, Japan, China, Hong Kong, India, Brazil, South Korea, and South Africa. Using linear and nonlinear causality tests, we find that Twitter happiness significantly causes the future volatility of the sample countries. The robustness checks show no divergence from our primary findings and provide strong evidence of a nonlinear relationship between investor sentiment and future stock market volatility.
KW - G12
KW - G14
UR - https://www.scopus.com/pages/publications/85088801278
UR - https://www.scopus.com/pages/publications/85088801278#tab=citedBy
U2 - 10.1016/j.ribaf.2020.101298
DO - 10.1016/j.ribaf.2020.101298
M3 - Article
AN - SCOPUS:85088801278
SN - 0275-5319
VL - 54
JO - Research in International Business and Finance
JF - Research in International Business and Finance
M1 - 101298
ER -