How do retail investors react to a market crash? The role of investment literacy

2022 ◽  
pp. 1-8
Author(s):  
Hohyun Kim ◽  
Kyoung Tae Kim
Keyword(s):  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shilpi Gupta ◽  
Monica Shrivastava

PurposeThe study aims to understand the impact of loss aversion and herding on investment decision of retail investors. The study further evaluates the mediating role of fear of missing out (FOMO) in retail investors on these relationships.Design/methodology/approachThe study employed questionnaire survey to collect data from retail investors of Indian stock market. Total 323 data were collected. The collected data were examined using SmartPLS. Factor analysis and partial least square structural equation modeling were employed for fulfilling the objectives of the study.FindingsThe results of the study revealed that investment decisions of retail investors are significantly influenced by loss aversion, herd behavior as well as FOMO. Assessing the impact of herd behavior and loss aversion on investment decision in presence and absence of FOMO exposed that FOMO partially mediates these relations. The mediation was complementary in nature as the presence of FOMO increased the influence of loss aversion and herd behavior on retail investor's investment decisions.Practical implicationsBehavioral predispositions are accountable for numerous irregularities in stock markets. Thus, it is quite substantial to realize the stimulus of these partialities on investment decisions. The outcomes of this study would help financial planners and investors to keep in mind the different ways their decision outcomes could be biased and try to ignore them.Originality/valueThough there have been many studies conducted on behavioral biases and their impact on investment decisions, there are very few studies that have taken into account the FOMO factor in investment, in context of the behavioral biases. Theoretically, FOMO has been linked with herd behavior and greed of earning more, but there are very few empirical supports to this fact. Thus, this study is an attempt to fill this gap by examining the role of FOMO on investment decisions and the different biases associated with it.


2021 ◽  
Vol 8 (2) ◽  
pp. 46-62
Author(s):  
Abhinav Pal ◽  
Shalini Singh Sharma ◽  
Kriti Priya Gupta

The global financial world has been experiencing increasing complexities in the design and construct of financial instruments, wherein the average retail investors need to be well informed and aware of the risks about the evolution of financial products and financial system. The global financial crisis of 2008-2009 is evident to the fact that traditional methods of financial advisory involving the use of human intermediaries and financial advisors is not an infallible method to determine one's financial decision or risk management. Almost a decade since the crisis, the advancement of financial technology in the form of robo-advisors and the use of data and visual analytics have completely transformed the way the retail investors make their financial decisions and also in the sphere of risk management of these investors. The study qualitatively analyses the use of the use of analytics and robo-advisory in determining retail investors' financial decisions and risk management by doing a systematic and an exhaustive literature review on the latest and the past studies on the topic.


2020 ◽  
Vol 89 (3) ◽  
pp. 99-118
Author(s):  
Andrew Lee ◽  
Christiane Weiland

Summary: Development banks are facing changing market conditions with low interest rates, rapid technological change, and an increased interest in impact investment. This combination of factors challenges traditional processes and business models, but also provides a chance to develop new and sustained business opportunities. We examine examples of impact investment crowdfunding platforms in an international and domestic context. We evaluate their organisational structure, especially in connection with the potential integration of an intermediary and possible conflicts of interest. Our analysis provides both economic justification for activities of promotional and development banks in this area and new inputs for expanding their business model with a transparent and trustworthy financial lending instrument for small-scale retail investors.


2020 ◽  
Vol 34 (1) ◽  
pp. 67-107 ◽  
Author(s):  
Richard B Evans ◽  
Yang Sun

Abstract We examine the role of factor models and simple performance heuristics in investor decision-making using Morningstar’s 2002 rating methodology change. Before the change, flows strongly correlated with CAPM alphas. After, when funds are ranked by size and book-to-market groups, flows become more sensitive to 3-factor alphas (FF3). Flows to a matched institutional sample (same managers/strategies) follow FF3 before and after the change but are unrelated to the CAPM. Placebo tests with sector funds and other factor loadings show no effects. Our results imply that improvements in simple performance heuristics can result in more sophisticated risk adjustment by retail investors.


2020 ◽  
Vol 17 (5) ◽  
pp. 522-557
Author(s):  
Ugo Malvagna ◽  
Antonella Sciarrone Alibrandi

Abstract1. Bank crises and the treatment of retail investors in the BRRD era. – 2. The problem of misselling in the context of self-placement of securities issued by banks. – 3. The (loose) interplay between investor protection and bank resolution in the current regulatory environment. – 4. The Single Resolution Board’s policy on the treatment of retail clients’ holdings for the purpose of MREL eligibility. – 5. Art. 44 a BRRD 2 on the «selling of subordinated eligible liabilities to retail clients». – 6. The need for a more effective integration between investor protection and bank resolution discipline: from an ex-post to an ex-ante approach. The role of product governance under MiFID 2. – 7. Concluding remarks.


Author(s):  
Turan G. Bali ◽  
Avanidhar Subrahmanyam ◽  
Quan Wen

Abstract We examine the role of macroeconomic uncertainty in the cross section of corporate bonds and find a significant uncertainty premium for both investment-grade (IG) (0.40% per month) and non-investment-grade (NIG) (0.81% per month) bonds. The economic-uncertainty premium declines as we progressively remove downgraded bonds, indicating that the premium represents an increase in required returns for bonds with higher credit and macroeconomic risk. The economic-uncertainty premia vary across equities and bonds in a manner consistent with the heterogeneous risk-aversion levels of dominant players in equities (retail investors) versus bonds (institutional investors).


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