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This study examines how the importance of external investment environment factors affects stock market perception, and how stock market perception affects stock investments after stock market crash witnessed by individual investors in one of the emerging stock markets.

A cross-sectional survey was administrated among 223 individual investors who experienced stock market crash in 2010–2011 in Bangladesh, and the proposed model was tested by the partial least squares-structural equation modeling PLS-SEM model.

Findings show that the importance of Bangladesh's stock market performance, government policy, economic issues and neighboring country's stock market performance have effects on investors' stock market perception. This perception, in turn, decreases monthly stock trading and short-term investment horizon. The findings further show the mediating effect of stock market perception.

Investors need to carefully consider the external investment environment when they form their stock market perception, as this perception drives stock investments. Analogously, regulators should ensure releasing timely and updated statistics on external investment factors.

Addressing those investors who encountered stock market crash, a set of external investment environment issues, stock market perception and stock investments are new in the literature.

The purpose of this study is to examine the impact of firm environmental, social and governance (ESG) rating scores on market perception and stock behavior from 2017 to 2021 while controlling for COVID-19 severity score.

The authors used panel regression models with robust standard errors based on cross-country and cross-industry sample of 1,324 ESG firms from 25 emerging countries across four regions. Four separate regression analyses are used. Hausman test is used to determine whether fixed-effect (FE) or random-effect approaches should be used in regression models. Lagrange multiplier test is used to test for time FEs, and F-test for individual effects to choose between pooled ordinary least squares model and FE. Two-unit root tests are conducted to check stationarity. Heteroskedasticity and serial correlation were controlled through a robust covariance matrix estimation.

The authors provide evidence that the stakeholder theory persists in emerging countries. Overall, the results suggest that firms’ stock behavior is positively associated with the level of environmental and social performance in the region. However, the results do not provide empirical evidence to support the link between ESG performance and stock market perception proxied by the price-to-sales ratio. The results suggest that Refinitiv and Bloomberg ESG rating scores have a positive impact on stock performance in emerging markets, albeit the Bloomberg rating score is insignificant.

Favorable impact of environmental and social performance on stock performance suggests that policymakers should take initiatives to raise awareness toward investments in ESG projects. Evidence shows that ESG stock performance in emerging markets does not insulate firms from the COVID-19 severity. Furthermore, this study highlights the inconsistency in calculating the ESG ratings, therefore, a more standardized approach is recommended to support investors seeking sustainable investments.

The findings have social implications for investors with proenvironmental preferences and nonpecuniary motives for ethical investments. Asset fund managers should develop ESG investment strategies to promote investor preferences that are linked to the proenvironmental and prosocial attitudes by increasing their investments in stocks of firms that behave ethically and support the environment. Furthermore, the findings show that investors pay a price for ethical and socially responsible investments as they are evaluating the environmental and social activities, hence, the firm ESG profile influences equity valuation and risk assessment.

The study extends the literature and provides evidence from the unique setting of emerging markets by analyzing the relationship between ESG rating scores and the COVID-19 severity scores on one hand, and stock behavior and market perception on the other.

Investor risk perception is a personalized judgement on the uncertainty of returns pertaining to a financial instrument. This study identifies key psychological and demographic factors that influence risk perception. It also unravels the complex relationship between demographic attributes and investor's risk attitude towards equity investment.

Exploratory factor analysis is used to identify factors that define investor risk perception. Multiple regression is used to assess the relationship between demographic traits and factor groups. Kruskal–Wallis test is used to ascertain whether the factors extracted differ across demographic categories. A risk perception framework based on these findings is developed to provide deeper insight.

There is evidence of the relationship and influence of demographic factors on risk propensity and behavioural bias. From this study, it is apparent that return expectation, time horizon and loss aversion, which define the risk propensity construct, vary significantly based on demographic traits. Familiarity, overconfidence, anchoring and experiential biases which define the behavioural bias construct differ across demographic categories. These factors influence the risk perception of an individual with respect to equity investments.

The reference for the framework of this study is limited as there has been no precedence of similar work in academia.

This paper establishes that information seekers make rational decisions. The paper iterates the need for portfolio managers to develop and align investment strategies after evaluation of investors' risk by including these behavioural factors, this can particularly be advantageous during extreme volatility in markets that concedes the possibility of irrational decision making.

This study highlights that regulators need to acknowledge the investor's affective, cognitive and demographic impact on equity markets and align risk control measures that are conducive to market evolution. It also creates awareness among market participants that psychological factors and behavioural biases can have an impact on investment decisions.

This is the only study that looks at a three-dimensional perspective of the investor risk perception framework. The study presents the relationship between risk propensity, behavioural bias and demographic factors in the backdrop of “information” being the mediating variable. This paper covers five characteristics of risk propensity and eight behavioural biases, such a vast coverage has not been attempted within the academic realm earlier with the aforesaid perspective.

This research paper aims to empirically explore how stock market investors’ perceptions are affected by extreme climatic events like El Nino and floods in Malaysia.

This study uses structural equation modelling (SEM) to analyse the empirical data gathered through a questionnaire survey involving 273 individual investors from Bursa Malaysia between January and June 2019.

Results reveal that companies’ efforts, especially for agriculture and plantation-based industries, to adapt to climate change risk at the production, business and stock market levels significantly impact investors’ behaviour and investment decisions. Moreover, stock market investors’ climate change knowledge shows a significant moderating effect on corporate climate change adaptation initiatives and investors’ decisions to invest in Malaysian agricultural and plantation industry stocks.

This research has significant implications for practice and policy, as it measures the stock market investors’ level of awareness about climate change events and explores the companies’ strategies to reduce climatic risks to their business model.

This study shows the way to adjust the climate change information in the stock market investment decision to improve market efficiency and sustainable stock exchanges initiative.

To the best of the authors’ knowledge, this paper is the pioneer one to provide a comprehensive link between climate change events and business performances at production level, business level and stock market levels by drawing inferences from empirical data on investors’ behaviours. This study also added value in investment theories and financial literature by observing the climate change as an important factor to determine the investors’ decisions in the stock market.

This study aims to determine experimentally factors affecting the satisfaction of retail stock investors with various investor protection regulatory measures implemented by the Government of India and Securities and Exchange Board of India (SEBI). Also, an effort has been made to gauge the level of satisfaction of retail equities investors with the laws and guidelines developed by the Indian Government and SEBI for their invested funds.

To accomplish the study’s goals, a well-structured questionnaire was created with the help of a literature review, and copies of it were filled by Punjabi retail equities investors with the aid of stockbrokers, i.e. intermediaries. Amritsar, Jalandhar, Ludhiana and Mohali-area intermediaries were chosen using a random selection procedure. Xerox copies of the questionnaire were given to the intermediaries, who were then asked to collect responses from their clients. Some intermediaries requested the researcher to sit in their offices to collect responses from their clients. Only 373 questionnaires out of 1,000 questionnaires that were provided had been received back. Only 328 copies were correctly filled by the equity investors. To conduct the analysis, 328 copies, which were fully completed, were used as data. The appropriate approaches, such as descriptives, factor analysis and ordinal regression analysis, were used to study the data.

With the aid of factor analysis, four factors have been identified that influence investors’ satisfaction with various investor protection regulatory measures implemented by government and SEBI regulations, including regulations addressing primary and secondary market dealings, rules for investor awareness and protection, rules to prevent company malpractices and laws for corporate governance and investor protection. The impact of these four components on investor satisfaction has been investigated using ordinal regression analysis. The pseudo-R-square statistics for the ordinal regression model demonstrated the model’s capacity for the explanation. The findings suggested that a significant amount of the overall satisfaction score about the various investor protection measures implemented by the government/SEBI has been explained by the regression model.

A study could be conducted to analyse the perspective of various stakeholders towards the disclosures made and norms followed by corporate houses. The current study may be expanded to cover the entire nation because it is only at the state level currently. It might be conceivable to examine how investments made in the retail capital market affect investors in rural areas. The influence of reforms on the functioning of stock markets could potentially be examined through another study. It could be possible to undertake a study on female investors’ knowledge about retail investment trends. The effect of digital stock trading could be examined in India. The effect of technological innovations on capital markets can be studied.

This research would be extremely useful to regulators in developing policies to protect retail equities investors. Investors are required to be safeguarded and protected to deal freely in the securities market, so they should be given more freedom in terms of investor protection measures. Stock exchanges should have the potential to bring about technological advancements in trading to protect investors from any kind of financial loss. Since the government has the power to create rules and regulations to strengthen investor protection. So, this research will be extremely useful to the government.

This work has societal ramifications. Because when adequate rules and regulations are in place to safeguard investors, they will be able to invest freely. Companies will use capital wisely and profitably. Companies should undertake tasks towards corporate social responsibility out of profits because corporate houses are part and parcel of society only.

Many investors may lack the necessary expertise to make sound financial judgments. They might not be aware of the entire risk-reward profile of various investment options. However, they must know various investor protection measures taken by the Government of India & Securities and Exchange Board of India (SEBI) to safeguard their interests. Investors must be well-informed on the precautions to take while dealing with market intermediaries, as well as in the stock market.

The fundamental theory of Modigliani and Miller (1958) states that a firm's financing decisions are independent from the firm's value. Nevertheless, several empirical studies as well as theoretical approaches from the past decade impugn this relation for real markets with their immanent inefficiencies. However, these questions are rather than academic in nature: Especially the influence of macroeconomic conditions on the market perception of debt issues is from high economic importance, since the need for new liquidity usually becomes even more urgent when the economic conditions worsen.

This paper analyzes the reaction of shareholders to the issue of debt by Latin American firms under special consideration of the macroeconomic sentiment. To do so, a sample of debt issued by Latin American companies between 2003 and 2010 is empirically examined through an event study.

The authors empirically demonstrate that specifically in Latin America, debt issuing companies show a significant underperformance during recessionary periods and an overperformance during nonrecessionary periods. These findings differ from previous results for mature capital markets. The authors conclude that not only the overall economic conditions matter to explain stock market reactions on bond issues but also the maturity of the corporate debt market plays an important role.

The authors provide first evidence that the previously described changes in the returns on specific stocks depending on the economic sentiment (Baker and Wurgler, 2006) are under certain conditions also present in the market for corporate debt.

This study aims to explore the impact of carbon neutral announcements on “stock market value” of publicly listed companies in China.

The event study approach is adopted. Market, market-adjusted, Carhart four-factor model and a cross-sectional regression model are employed to examine the impacts of carbon neutral announcements on “stock market value” of Chinese companies based on data from 188 carbon neutral announcements.

Carbon neutral announcements positively impact Chinese shareholder value. Carbon neutral announcements at the strategic level have a more positive and significant impact on Chinese stock market value. Innovative carbon neutral announcements do not significantly cause Chinese stock market reactions. Companies have more positive and significant stock market reactions when the companies make carbon neutral announcements that reflect high supply chain network resilience and heterogeneity and strong supply chain network relationships.

The findings uncover the business value of carbon neutral activities and provide operations managers in developing countries insights into how to improve enterprises' market value by actively implementing carbon neutral activities.

This paper is the first trial to apply an event study to examine the relationship between carbon neutral announcements and Chinese stock market value from the perspective of announcement level and type and supply chain networks. This paper introduces corporate reputation theory and enriches the application of corporate reputation theory in the field of low-carbon environmental protections and supply chains.

Even after appreciating multi-faceted merits of retail participation in stock markets and extensive efforts by policymakers and financial service industry to increase it, the present low retail participation in Indian stock markets is cause of grave concern. The purpose of this paper is to identify plausible drivers and deterrents of prospective and current household individuals through a multi-stage qualitative enquiry.

Two qualitative studies are conducted. In Study 1, scholarship of stakeholders is engaged through participative diamond model to propose behavioural classification of retail investors based on two-parameter framework. In Study 2, behavioural substructures of retail investors that drive or deter investment intentions and actions are identified through in-depth interviews.

Financial self-efficacy, past experience (own or peer group), financial eco-system, operational literacy, higher charges by financial experts and low liquidity in the hands of the investors are some key factors that influence investment intension and action of individual investors. Though digital platforms have helped to overcome hurdles faced by an investor but its availability, awareness and ease of use still remain a concern.

The inductive findings of this study uncover some important take-aways for the financial service industry – improve operational literacy, digital awareness, ease of use and incorporate risk assessments in client portfolios – and for the policymakers – improve investment eco-system through digital availability, financial literacy workshops focussed on operations.

To the best of the authors’ knowledge, this study is one of the initial attempts to adopt a multi-stage qualitative enquiry to propose behavioural classification of retail investors and uncover reasons that drive or deter individual investors’ intentions and actions in the context of Indian stock market. Moreover, this study provides necessary impetus to analyse and improve operational literacy (instead of financial literacy) and financial eco-system for higher retail participation.

March’s 1991 work on exploitation and exploration has been studied in many different industries. The purpose of this paper is to analyze signals emanating from exploration and exploitation alliances within the pharmaceutical industry context. Specifically, the authors explore market reactions to announcements of alliance formations based not only on alliance type but also in terms of their marketing intensity and leverage.

The authors employ a two-stage event-study market model using a two-day event window (event days 0, +1), creating cumulative abnormal returns (CARs). In the second stage, the authors regress the CARs against an array of control and explanatory variables.

Findings suggest that even though firm announcements of exploration and exploitation formations initially generate favorable market reactions, the former has a greater impact on CAR relative to the latter. Furthermore, leverage and marketing intensity moderate the relationship between firms’ alliance formation announcements and CARs generated. In particular, firms’ alliance formation announcements generate relatively greater market reactions at lower (higher) levels of the firm’s leverage (market intensity).

Event studies are valuable for gauging initial impressions of management action, but they are not meant to address long-term value creation. While market reactions suggest the likelihood of an alliance’s success or failure, managers also assess the risk to a firm’s financial health should the alliance fail. As a result, announcements that signal the firm has discretionary capabilities to ameliorate the effect of a failed alliance are better received.

This study is the first to analyze the stock market’s perception and valuation of different types of risk, classified by exploration vs exploitation alliances. The study also contributes to the literature by analyzing how investors use the information about a firm’s financial leverage and marketing activities to fine-tune their valuation of different types of risk-taking activities.