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This paper aims to review, systematize and integrate existing research on disposition effect and investments. This study conducts bibliometric analysis, including performance analysis and science mapping and thematic analysis of studies on disposition effect.

This study adopted a thematic and bibliometric analysis of the papers related to the disposition effect. A total of 231 papers published from 1971 to 2021 were retrieved from the Scopus database for the study, and bibliometric analysis and thematic analysis were performed.

This study’s findings demonstrate that research on the disposition effect is interdisciplinary and influences the research in the domain of both corporate and behavioral finance. This review indicates limited research on cross-country data. This study indicates a strong presence of work on investor psychology and behavioral finance when it comes to the disposition effect. The findings of thematic analysis further highlight that most of the research has focused on prospect theory, trading strategies and a few cognitive and emotional biases.

The findings of this study can be used by investors to minimize their biases and losses. The study also highlights new techniques in machine learning and neurosciences, which can help investment firms better understand their clients’ behavior. Policymakers can use the study’s findings to nudge investors’ behavior, focusing on minimizing the effects of the disposition effect.

This study has performed the quantitative bibliometric and thematic analysis of existing studies on the disposition effect and identified areas of future research on the phenomenon of disposition effect in investments.

Despite the susceptibility of cotton crops to pest attacks in the Malwa Region of Indian Punjab, no crop insurance policy has been implemented there– not even the Pradhan Mantri Fasal Bima Yojana (PMFBY), which is a central scheme. Therefore, this paper attempts to gauge the likely impact of the PMFBY on Punjab cotton farmers and assess the changes needed for greater uptake and effectiveness of PMFBY.

The authors have conducted a primary survey to conduct this study. Initially, the authors compared the costs of cotton production with the returns in two scenarios (with and without insurance). Additionally, the authors have applied a logistic regression framework to examine the determinants of the willingness of farmers to participate in the crop insurance market.

The study finds that net returns of cotton crops are conventionally small and insufficient to cope with damages from crop failure. Yet, PMFBY will require some modifications in the premium rate and the level of indemnity for its greater uptake among Punjab cotton farmers. Additionally, using the logistic regression framework, the authors find that an increase in awareness about crop insurance and farmers' perceptions about their crop failure in the near future reduces the willingness of the farmers to participate in the crop insurance markets.

The present study looks for the viability of PMFBY in Indian Punjab for the cotton crop, which can also be extended to other crops.

Punjab could also use crop insurance to encourage diversification in agriculture. There is a need for special packages for diversified crops under any crop insurance policy. Crops susceptible to volatility due to climate-related factors should be identified and provided with a special insurance package.

There exist very scant studies that have discussed the viability of a central crop insurance scheme in the agricultural-rich state of India, i.e. Punjab. Moreover, they do not also focus on crop losses accruing due to pest and insect attacks.

The paper aims to examine the effect of CEOs' social networks on capital structure complexity (CSC) and firm performance.

Ordinary Least Squares regression (OLS) and Generalized method of moments (GMM) regression results estimate the effect of CEOs' (Chief executive officer) social networks on capital structure complexity and firm performance. The number of sources of capital (NSC) and concentration ratio estimate the capital structure complexity for the sample firms.

The results show that CEOs' social networks significantly influence CSC. We suggest that the CEOs' social networks encourage them to make more complex capital structure decisions. This behavior deteriorates firm performance.

There is a lack of systematic conceptual reason for measuring CEO social network. Future research should use other measures of the social network to estimate the relation of the CEO's social network with CSC and firm performance.

The findings support the managerial power approach and social network theory that the observable characteristics of CEOs influence CSC. The results are robust for an alternative explanation.

By investigating the impact of the influence of CEOs' social networks on CSC and performance, the authors extend research on strategic leadership and capital structure and firm performance.

The paper examines contingent liabilities' effect on the firm's dividend decisions.

Fixed-effects regression and logit model results estimate the influence of contingent liabilities on firms' dividend decisions using a sample of 2,288 firm-year observations of S&P 500 firms from 2012 until 2022. Robustness checks and results from the 2SLS model further support the authors’ findings.

The results show that contingent liabilities negatively affect dividend payment decisions. This analysis further demonstrates that the stated effect of contingent liabilities on dividend decisions is more substantial for firms with financing deficits and those with above-industry-average corporate governance scores.

There needs to be more systematic conceptual reason for measuring uncertainty for firms and its influence on dividend decisions. Future research should use other measures of firm uncertainty to examine the relation of the firm's uncertainty with dividend decisions.

The authors suggest that contingent liabilities create uncertainty for future cash flows, influence a firm's agency costs and provide credible signals on a firm's prospects to the market. The findings support existing literature that measurable firm-specific variables significantly influence a firm's dividend decisions. The results are robust for an alternative explanation.

By investigating the impact of the influence of contingent liabilities on dividends, the authors extend research on dividend decisions and attempt to provide insights into a firm's dividend decisions by incorporating an off-the-balance sheet item (contingent liabilities) as a significant predictor for dividend decisions.

Mergers and acquisitions (M&As) are of three types: domestic, inbound and outbound cross-border. Inbound M&As provide an inflow of foreign funds into the economy, whereas outbound M&As involve the outflow of domestic funds. This paper examines the impact of domestic and cross-border mergers and acquisitions in Brazil on each other.

The authors analyze M&A activity in Brazil and examine the impact domestic, inbound and outbound M&As have on each other. The study uses a vector auto-regressive model to test the relationships for each quarter of 2000–2018. The M&A activity is operationalized using the total number of deals and the cumulative value of the deals in a particular period.

The results depict stark contrast for M&A activity measured through incidences and monetary value. Overall, the number of deals can better explain each other than value. The authors find that, in terms of incidences, domestic M&A is Granger caused by both outbound and inbound M&As together. Further, inbound and domestic M&As together Granger cause outbound M&As in terms of aggregate monetary value. The impulse response function reveals that incidence shocks created in M&A activity are longer lasting than the value shocks.

The results have implications for businesses and policymakers. The study reveals the complexities of crowding effects important for businesses. The government needs to structure its future investment-promotion strategies depending on the objectives related to the number and value of M&A activity.

The study uses econometric tools and empirical methods to find the unexplored nature of the relationship between domestic, outbound and inbound cross-border M&As.

This paper aims to review, systematize and integrate existing research on alternative investments. This study conducts performance analysis comprising production timeline, country-wise contributions, analysis of sources, affiliations, the geography of authors and citations of studies on alternative investments.

This study adopts a thematic and bibliometric analysis methodology on 570 papers identified from mainstream literature on alternative investments. This study provides an analysis of science mapping, including co-citation analysis, bibliometric coupling, word analysis and trending topics on alternative investments. In addition, the study presents thematic analysis by classifying existing studies into nine themes.

Alternative investments provide diversification benefits and play a critical role in portfolio construction, and the research on alternative investments has gained momentum in recent times. This study finds that hedge funds, private equity, artwork, collectibles, commodities, fine wine and venture capital have remained prominent themes in the field. Investments in cryptocurrencies are an emerging area in the research on alternative investments.

This study limits itself to the papers published in the area of finance and economics listed on the Scopus database.

This study provides quantitative bibliometric analysis and thematic analysis of the extant literature on alternative investments and identifies the areas that could be developed to advance research on alternative investments.

The current study is to examine the association between cognitive abilities and financial resilience among millennial single parents. This study examines the role of cognitive abilities on financial resilience after controlling for key demographic variables – gender, age, university degree, employment status and staying with parents.

Using the ordered logit regression approach, the authors analyzed results for 395 single parents (237 single mothers and 159 single fathers) aged 31 to 40 in India. Financial resilience is measured using economic resources, financial resources, financial knowledge and behavior, and social capital. The authors further provide several robustness tests to validate their findings. The results are controlled for state-fixed effects.

The authors find a significant impact of single parents' cognitive abilities on their financial resilience. This study also found that gender, age, university degree, employment status and staying with parents influence single parents' financial resilience. Single mothers are found to have higher levels of both cognitive abilities and financial resilience scores than single fathers.

Financial institutions, marketers and financial advisors can find innovative ways to increase the financial resilience of single parents by improving their cognitive ability. Also, policymakers should focus on interventions to increase single parents' education level to increase their financial resilience and provide policy support to those without any parental support system.

This study extends the literature on financial resilience in two directions – by establishing a relationship between cognitive abilities and financial resilience and studying the financial resilience of a vulnerable societal section-millennial single parents. The study also extends the literature on single parents' financial vulnerability by establishing a relationship between key demographic variables and their financial resilience.

The purpose of this study is to understand the impact of the overconfidence of finance managers on the capital structure decisions of family-run businesses in the Indian scenario. Furthermore, this study aims to demonstrate that measurable managerial characteristics explain the capital structure decisions of managers.

The qualitative approach to research, which aims at understanding a given phenomenon among the experts, is followed. Semi-structured interviews are conducted with 21 overconfident finance managers of family-owned businesses. Content analysis is used to analyse the collected data regarding capital structure decisions into several themes to fully explore the issue in the Indian scenario.

In terms of preference for cash or debt, most of the responding overconfident finance managers of family-run businesses agreed that cash is the preferred source of financing over debt financing. This is due to the biased behaviour of overconfident managers, who consider lower availability of debt as a reason to prefer cash over debt financing. The present study reports that overconfident finance managers prefer short- to long-term debt financing. These managers raise certain practical issues, such as stringent debt terms and inflexible repayment schedules, that arise in relation to the long-term debt market. The study also finds that overconfident finance managers do not fully use tax savings. Respondents reported a lack of access to the debt market and a lack of expertise in capital structure decisions as factors in these capital structure decisions. In addition, the study explores various factors, such as the role of government, the Central Bank of India and industry practices, in relation to capital structure decisions. The study finds that the capital structure decisions of these overconfident finance managers are suboptimal because of the presence of overconfidence bias.

This study gathers information from respondents who are finance managers, not top-level managers, of family businesses; the decision not to interview the higher-ranking managers is a potential limitation of the present study. Another limitation is the small number of respondents in a specific firm size. Because of these factors, the generalisability of the findings of this study will obviously be restricted.

The present study has several practical implications. The first is the recognition of overconfidence bias as it affects the decision-making of finance managers. Executives, especially finance executives, will benefit from the recognition of overconfidence bias and will understand how the presence of such bias impacts corporate decision-making. Managers will understand that bias leads to faulty decision-making. The study will provide indirect feedback to policymakers and regulators in terms of understanding the role of macroeconomic variables in economic decisions. The qualitative approach followed in the present study may enhance the understanding of capital structure decisions from a psychological perspective. The majority of studies in the review of literature adopt quantitative approaches; so the qualitative approach adopted here represents a methodological innovation, and it may provide a deeper understanding of the matter.

The existing literature includes quantitative research aimed at understanding the impact of CEO overconfidence on various corporate policies such as capital budgeting, mergers and acquisitions, dividend policy and capital structure decisions. Quantitative research into the presence of overconfidence bias among executives and its impact on corporate policies returns mixed results. To fulfil the need for studies of overconfidence bias among executives with practical implications, this study explores the presence of overconfidence bias among finance managers in family-run businesses and investigates the impact of overconfidence on capital structure decisions.

This study aims to understand the unique financial behavior of transgender individuals compared to cisgender individuals. Furthermore, this study aims to demonstrate that understanding the financial behavior of transgender people will help financial institutions, regulators and policymakers to include them in the formal financial sector.

The qualitative approach to research aims at understanding a given phenomenon among the participants. Semi-structured interviews are conducted with 28 transgender and cisgender individuals each. Thematic analysis is used to understand the participants’ financial behavior and propose future research directions and implications to regulators and practitioners.

The transgender participants (TP) earn no stable income compared to cisgender participants. Due to a lack of regular income, TP faces hardships covering their spending. No fixed spending or financial planning pattern is found among the TP, and they are found to be highly uncertain of their income and spending. The TP is found wholly excluded from the financial system, and not even a single participant with an active bank account or insurance is found. TP has not visited a bank in their lifetime, and financial literacy is found completely missing among them. No TP has ever taken a bank loan or credit from a financial institution. A zeal among TP to be financially included is found, and such participation will undoubtedly help them live a financially independent life. Cisgender people (CP) are found to be earning a stable income, have full-time jobs, save money, transact through a formal financial system and are financially more independent than TPs. Gender is shown to play a role in the financial behavior of the participants.

This study gathers information from transgender and CP and does not focus on the financial services providers; the decision not to interview the providers of financial services is a potential limitation of the present study. Another limitation is the small number of respondents who participated in the semi-structured interviews. Due to these limitations, the generalizability of the findings of this study regarding financial behavior will be restricted and require further evidence from future research.

The present study has several practical implications. First, the requirement of understanding the financial behavior of transgender people from their perspective is missing in the literature, and studies focusing on their behavior are required to help them be financially independent. The present study has implications for regulators, policymakers and practitioners to help transgender people improve their financial conditions.

The existing literature does not include studies focusing on understanding the financial behavior of transgender people or drawing a comparison of the financial behavior of transgender or CP. The present study explores the financial behavior of transgender people and highlights the unique financial behavior of transgender individuals.

The chapter reviews existing research on merger and acquisition (M&A) activities and chief executive officers (CEOs) in organizations. The study provides insights into the existing literature and proposes avenues for future research on M&A activities and CEOs. The present study adopts bibliometric analysis on 319 articles identified from the literature. The articles selected for analysis are extracted from the Scopus database and are selected based on the focus of the papers on M&A activities and CEOs. Existing studies on M&A activities and CEOs demonstrate that CEOs affect M&A activities, CEOs affect the performance of M&A activities, and M&A activities also influence the role of CEOs in M&A activities. We identify and list scientific mapping in trending topics, scientific production, citation analysis, prominent authors, and their affiliations. The study is relevant to academicians, practitioners, and policymakers interested in corporate finance, especially in the areas overlapping CEO attributes and M&A activities.