Cognitive biases and financial decisions of potential investors during Covid-19: an exploration

Mohanty, Stutee

doi:10.1108/agjsr-12-2022-0296

Cited by 6 publications

(1 citation statement)

References 71 publications

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“…Investors cannot rely entirely on existing resources to make investment decisions. Furthermore, unpredictable market anomalies also have a fundamental impact on investor behavior and overall financial market performance Woo et al (2020); Mohanty et al (2023); Metawa et al (2019). Individuals with a high level of financial literacy tend to make more rational financial decisions, can better identify and assess risks, and become more financially independent (Dehghani and Sapian, 2014).…”

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confidence: 99%

The effect of financial literacy on Gen-Z crypto investment decision through herding behavior as mediator

Arriqoh,

Zoraya

2024

MABIS

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The progression of investment in Indonesia has witnessed rapid growth, particularly in the realm of crypto assets. By April 2023, the number of crypto investors in Indonesia had surged to 17 million, with the Gen Z cohort dominating this category of asset investors. The primary objective of this research is to examine whether herding behavior can mediate the relationship between financial literacy and crypto investment decisions among Gen Z individuals. This investigation was conducted among crypto investors residing in the city of Bengkulu. A total of 156 individuals were selected as the sample. The collected data was subsequently processed using the Smart PLS 3 application. The research findings indicate that financial literacy has a significantly positive influence on herding, and financial literacy also has a significantly positive impact on the crypto investment decisions of Gen Z. Moreover, herding serves as a mediating factor in the relationship between financial literacy and Gen Z's crypto investment decisions.

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Section: Introductionmentioning

confidence: 99%

The effect of financial literacy on Gen-Z crypto investment decision through herding behavior as mediator

Arriqoh,

Zoraya

2024

MABIS

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Late-life psychiatric factors and life satisfaction are associated with cognitive errors: evidence from an experimental module of a large-scale survey in India

Irshad,

Padma Sri Lekha,

Abdul Azeez

et al. 2024

Sci Rep

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Older adults are at risk of committing cognitive and decision-making errors due to the decline in cognitive functions. However, the understanding of the determining factors of cognitive errors among ageing adults is limited. In this study, we explored the role of various psychiatric factors, life satisfaction, and other socioeconomic, health and behavioural risk factors of committing cognitive errors among middle-aged and older adults in India. The study utilized the data from the experimental module of the Longitudinal Ageing Study in India (LASI) Wave-1 (2017–2018) with a sample of 12,754 adults aged 45 years and above. The cognitive error was measured using logical fallacies committed in the activity-based experiments. The study employed descriptive, bivariate statistics and multivariable logistic regression models to identify the factors associated with cognitive errors among the study participants. Depression (aOR = 1.28, 99%, CI: 1.16–1.41), life satisfaction (aOR = 0.99, 99%, CI: 0.98–1.00), and cognitive impairment (aOR = 1.13, 90% CI: 1.00–1.30) self-reported psychiatric) were significantly associated with higher odds of committing cognitive errors among the middle-aged and older adults. Also, ageing adults with low educational levels, functional limitations, sleep disturbances, smoking history, living in rural areas and belonging to scheduled tribes had a higher probability of committing cognitive errors. However, involvement in physical activity, reading habits and social interactions reduced the odds of cognitive errors among this sample. Mental health and well-being indicators, including depression, life satisfaction, cognitive impairment, and other health and behavioural health factors, determine cognitive errors among ageing adults. Programs and policies should be initiated to address these factors, reduce cognitive errors, and ensure active ageing.

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An insight of financial literacy and artificial intelligence to mitigate behavioral biases: a bibliometric and systematic review analysis using SPAR-4-SLR

Annu,

Tripathi

2024

IJOEM

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PurposeThe study explores new aspects of financial investment management with technological involvement, providing detailed knowledge for future research. It identifies gaps in the literature and summarizes key research topics, utilizing a precise data collection framework.Design/methodology/approachThe study is structured using systematic and bibliometric analysis with the antecedents, decisions, outcome-theories, context, and methods (ADO-TCM) framework. Data from Scopus and Web of Science were filtered based on Q1, Q2, social sciences citation index (SSCI) and Australian Business Deans Council (ABDC) criteria, resulting in 128 articles majorly emphasizing the last ten years. The “R” package facilitated bibliometric analysis, starting with data cleaning and import into Biblioshiny for effective results interpretation.FindingsThe study found that artificial intelligence detects and mitigates biases in investment decisions through rigorous pattern analysis, including social and ethical biases. The ADO-TCM framework revealed emerging theories, such as robo-advisory theory, offering new directions in behavioral finance for researchers and practitioners. The top authors and articles highlighted existing work in financial management.Originality/valueThe study’s originality is highlighted by its use of unique frameworks for data collection (SPAR-4-SLR) and interpretation (ADO-TCM).

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Cognitive biases and financial decisions of potential investors during Covid-19: an exploration

Cited by 6 publications

References 71 publications

The effect of financial literacy on Gen-Z crypto investment decision through herding behavior as mediator

The effect of financial literacy on Gen-Z crypto investment decision through herding behavior as mediator

Late-life psychiatric factors and life satisfaction are associated with cognitive errors: evidence from an experimental module of a large-scale survey in India

An insight of financial literacy and artificial intelligence to mitigate behavioral biases: a bibliometric and systematic review analysis using SPAR-4-SLR

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