Applied prospect theory: assessing the βs of M&A-intensive firms

The impact of news on individual investor decision is explicit as investors need to update, adapt and forecast returns with constraints of time, uncertainty and resources to be successful. The aim is to understand and review the influence of news on individual investor’s decision making in stock markets and identify the impact of different type of news on individual investor’s decision making in stock markets, assess the behavioral reaction and investment decisions made by investors before and after there is news item, identify the linking effect on behavioral theories and biases, develop a generalized decision making conceptual model to understand the impact of news on investor’s reaction, decision and its linkages along with the behavioral bias. Theoretical basis/methodology for processing of news by investors is assumed to be based on Broadbent’s filter theory (1958) and due to cognitive informational inefficiency of investors it assesses the attention and the investor’s reaction of overreaction and underreaction, which do not comply with efficient market hypothesis theory. The reasons for its noncompliance are found by relating it with behavioral theories. The results explain how investor screens with filters and give attention to news only when it affects their portfolio or investment objective and strategies. It is concluded that investor’s decision making depends on degree of information penetration, information content, information influence, specific internal factors and generic external and on investors prevailing at that given circumstances. This gives us the solution to comprehend the investor’s reaction, decision and unresolved reversals, short- and long-term overreaction.

The biggest challenge facing countries, including India, is creating and managing an LCR (low carbon resilient) economy, which balances the need for high growth rates and is environmentally sustainable. The green bond market provides investors the means to help change the economy into an LCR economy. The study was undertaken to understand the key drivers and the factors influencing the individual retail investor’s decision to invest in green bonds. A survey instrument was designed and administered through the snowball sampling technique to 125 Indian respondents of various age groups who were eligible to invest in the Indian bond market. SPSS software was used to conduct a descriptive analysis followed by regression and conjoint analyses. The study results suggest that the Environmental, Social, and Governance (ESG) rating and credit rating of the green bond issuers are the key factors that influence an individual’s investment decision. The findings also highlight that incentives such as tax exemptions and awareness of green bonds also affect an investor’s decision. This research stands out as one of the first attempts to understand the Indian retail investors’ perception of a green bond.

The Kingdom of Saudi Arabia is strongly committed to stimulating savings culture in the local community by providing financial literacy in financial planning, investments, and budgeting. Inculcating the savings and investment behavior among the people will help materialize one of the elements of Saudi Vision 2030. Tadawul, being the most liquid stock market in the Middle East and North Africa, offers investors the ability to grow their capital with confidence through facilitating trading in different securities such as equities, debt instruments, and Exchange Traded Funds (ETFs). There is a great scope for investors to invest in the companies listed in Tadawul All Share Index (TASI) due to its strong economic fundamentals. The present study aims to apply the CAPM in Tadawul listed stocks, which will help in understanding the systematic and unsystematic risk associated with stocks, understanding their actual and theoretical return on stocks. The methodology adopted is the analysis of secondary data for all listed stocks in Tadawul using the Bloomberg terminal. The financial valuation includes elements like beta, alpha, correlation and standard deviation, expected return and actual return. The practical value obtained from the study will help investors go for undervalued stocks with lower beta, higher expected annual return, and lower systematic risks. Thus, the result shows the predicting power in KSA market and the scope for long-term investments by the investors to boost their savings and investment behavior and materialize one element of Vision 2030.

Acknowledgment
This research was funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University through the Fast-Track Research Funding Program.