Investor sentiment antecedents: A structural equation modeling approach in an emerging market context. (5th November 2018)

• Record Type: Journal Article
• Authors: Dasgupta, Ranjan; Singh, Rashmi
• Is Part Of: Review of behavioral finance. Volume 11:Number 1(2019)
• Page Start: 37
• Page End: 55
• Publication Date: 2018-11-05
• Subjects: Investor sentiment determinants -- Investor sentiment index -- Investor-specific factors -- Stock market-specific factors -- Structural equation modelling approach; Investments -- Psychological aspects -- Periodicals; Investments -- Decision making -- Periodicals; 332.605
• DOI: 10.1108/RBF-07-2017-0068
• Languages: English
• ISSNs: 1940-5979

Abstract

Abstract : Purpose: The determinants of investor sentiment based on stock market proxies are found in numbers in empirical studies. However, investor sentiment antecedents developed from primary survey measures by constructing an investor sentiment index (ISI) are not done till date. The purpose of this paper is to fill this research gap by first developing an ISI for the Indian retail investors and then examining the investor-specific, stock market-specific, macroeconomic and policy-specific factors' individual impact on the investor sentiment. Design/methodology/approach: First, the authors develop the ISI by using the mean scores of six statements as formulated based on popular direct investor sentiment surveys undertaken throughout the world. Then, the authors employ the structural equation modeling approach on the responses of 576 respondents on 40 statements (representing the index and four study hypotheses) collected in 2016 across the country. Findings: The results show that investor- and stock market-specific factors are the major antecedents of investor sentiment for these investors. However, interestingly macroeconomic fundamentals and policy-specific factors have no role to play in driving their sentiment to invest in the stock market. Practical implications: The major implication of the results is that the Indian retail investors are showing a mixed approach of Bayesian and behavioral finance decision making. So, these implications can guide the investment consultants, regulators, other stakeholders in markets and overwhelmingly the retail investors to introspect their investment decision making across time horizons. Originality/value: The formulation of ISI in an emerging market context and thereafter examining possible antecedents to influence retail investors in their investment decision making are not done till date. So, the study is unique in its research issue and findings and will have significant implication for the retail investors at least in emerging market contexts.