Purpose
This paper aims to identify changes in individual investors’ preferences, prominent sentiments in the market, behavioural tendencies and biases demonstrated as a result of the COVID-19 pandemic.
Design/methodology/approach
As the study is exploratory social research, the design is also structured as such. In total, 69 Securities and Exchange Board of India-registered investment advisors catering to investors of diverse profiles, experiences and locales are engaged through in-depth semi-structured interviews. The responses are categorised thematically using a data structure model.
Findings
Investors are guided by an inclination for safer and liquid asset classes and prefer fixed income securities. The authors observe various emotional reactions – inexperienced investors panic, experienced investors act maturely, while a few of both naïve and sophisticated investors are opportunistic contrarians. Lower valuations, ease of access to digital infrastructure for trading and social norms attract many first-time individual investors, causing a phenomenon identified as the “new investor boom”. Apart from the biases identified during the financial crisis, the authors also detect evidence of cognitive dissonance, bandwagon effect, fear-of-missing-out syndrome, disposition effect and others.
Practical implications
The paper also discusses some noticeable behavioural tendencies displayed by the individual investors and compiles helpful strategies to successfully navigate any such financial crisis.
Social implications
An individual investor is a least aware and most affected stakeholder in any crisis, so this study contributes newer insights to ensure their financial well-being.
Originality/value
The study’s originality lies in adopting a qualitative methodology that uses investment advisors’ professional experience to unveil the sub-structures of investor psychology and decision-making behaviour during COVID-19.
This paper examines the dynamic connectedness between green bonds and OECD financial markets of European countries. The study is conducted on daily price of green bonds and selected European stock markets from January 27, 2015, to August 4, 2021. Top ten European countries namely Luxembourg, Switzerland, Norway, Denmark, Germany, Netherlands, Iceland, Austria, Sweden, and Belgium are included within the OECD economies. The study uses Diebold and Yilmaz and Barunik & Krehlic tests to examine the connectedness between the economies and green bonds in short, medium, and long term. Result exhibits volatility across all frequency cycles. Brussel Stock Exchange and Euronext Amsterdam are identified as high-risk markets in the OECD European market. Evidence emerging from this study advocate the inclusion of green bonds in these financial markets for shorter time periods only. Results from this study are expected to have practical implications for portfolio managers, investors, and market regulators, suggesting incorporation of green bonds in investor portfolio for efficient diversification of risk.
Financial distress is a socially and economically significant issue that affects almost every firm across the world. Predicting financial distress in the banking industry can substantially aid in the reduction of losses and can help avoid misallocation of banks’ financial resources. Models for financial distress prediction of banks are being increasingly employed as important tools to identify early warning signals for the whole banking system. This study attempts to forecast the financial distress of commercial banks by developing a bankruptcy prediction model for banks. The sample size for the study is 75 Indian banks. Logistic, linear discriminant analysis (LDA) and artificial neural network (ANN) models have been applied on the last 5 years’ (2015–2019) data of these banks. Data analysis results reveal the logistic and LDA models exhibiting similar prediction accuracy. The results of the ANN prediction model exhibit better prediction accuracy. It is expected that the results of this study will be useful for managers, depositors, regulatory bodies and shareholders to better manage their interests in the banking sector of the country.
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