Anindita Chakraborty

@bhu.ac.in

Institute of Management Studies, Banaras Hindu University
Banaras Hindu University

Anindita Chakraborty


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https://researchid.co/anindita

RESEARCH INTERESTS

Behavioural finance, economic psychology, capital markets
15

Scopus Publications

226

Scholar Citations

8

Scholar h-index

8

Scholar i10-index

Scopus Publications

  • Sustainable Finance: Insights and Directions
    Anindita Chakraborty
    Studies in Computational Intelligence, 2026
  • Construing the Relationship Between Entrepreneurial Adversity and Mental Well-being of Small Business Owners During COVID-19 Outbreak: The Mediating Role of Entrepreneurial Resilience
    Shruti Singh, Anindita Chakraborty
    Fiib Business Review, 2025
    The purpose of this study was to look at small business owners’ entrepreneurial resilience and mental well-being during adversity. This paper tries to gauge the effect of the COVID-19 pandemic on an entrepreneur’s mental wellness and how being resilient in their approach to handling uncertainties mediates and positively envisages their mental wellness. The quantitative approach was utilized to collect data and achieve the specified goal. The information was gathered from 159 small business owners in Varanasi, India. The partial least squares method was used to analyze the collected data. Future research should look for more accurate ways to measure resilience as well as personal traits that could be used to further analyze the person–entrepreneurial context fit. In order to improve the generalizability of the study’s findings, researchers can also consider perceived adversity and resilience as mediating factors, in addition to the actual adversity and resilience assessed in this study.
  • The social ledger: qualitatively decoding interaction-driven investment decisions among Indian investors and fund managers
    Shruti Singh, Anindita Chakraborty
    Qualitative Research in Financial Markets, 2025
    Purpose This study aims to investigate the antecedents of social interaction among Indian retail investors and fund managers to understand how these factors influence investment decisions. By identifying and examining these antecedents, the study aims to shed light on the social dynamics that shape investment behavior in the Indian financial market. Design/methodology/approach The researchers have mainly adopted an interpretive strategy for the present study. Qualitative data elicited through semistructured interviews with six retail investors and two fund managers were subjected to qualitative thematic analysis. Findings Our research found several factors that make Indian retail investors and fund managers connect and make financial decisions. Peers can improve a person’s investing performance through social facilitation, and discussing investment suggestions and lessons learned can affect a group’s investment behavior. Social norms also influenced investors’ financial decisions, demonstrating compliance. Investor closeness increased information sharing. Finally, the fear of missing out (FOMO), a psychological phenomenon where people fear missing out on rewarding experiences, encouraged social engagement as investors sought appealing prospects. Research limitations/implications The researchers interviewed eight carefully selected interviewees across the divide between retail investors and fund managers. Adopting other grouping criteria, conducting a focus group discussion with more respondents or adopting a mixed-methods approach may increase our understanding of the investment decision behaviors of Indian retail investors and fund managers. Practical implications The findings have far-reaching consequences, from deepening our knowledge of investors’ motivations and actions to directing individual savers, informing the development of financial literacy initiatives, influencing fund management practices and inspiring additional research in this study area. Originality/value This research, including retail investors and fund managers, significantly contributes to the literature on investment decisions and behavioral finance, particularly in the context of Indian investors and managers. This study’s unique perspective and comprehensive approach make it a valuable addition to the field, sparking interest and further exploration among academics, practitioners and investors alike.
  • Tweets to Trades: Exploring the Influence of Social Media Interactions on Stock Market Participation: A Critical Review
    Shruti Singh, Anindita Chakraborty
    Psychology and Intricacies in Social Media Interactions A Critical Perspective, 2025
    The purpose of this research is to examine the influence of social media interaction in increasing stock market participation (SMP). With the support of relevant literature and research, this study seeks to encompass both the antecedent and predecessors of social media interaction and SMP and explores the relationship between the two if measured concurrently. According to the existing literature, combining social media data in addition to numerical data enhances input quality and results in better forecasts, and this trait has resulted in a significant increase in the degree of engagement among stock market investors. Further, the study also tries to pursue literature highlighting the interconnection between various socioeconomic and demographic factors influencing SMP, to identify important factors which will help stimulate participation. Furthermore, social media interaction is being used by investors, companies, institutions, and society as a whole to gather, exchange, and utilize knowledge. Augmented connection and participation in the stock market will assist the country’s society and economy to renew and flourish.
  • Navigating the Metaverse: The Interplay of Social Interaction and Consumer Behaviour
    Shruti Singh, Ragi T S, Suraj Prakash Singh, Anindita Chakraborty
    Proceedings 2025 4th International Conference on Computational Modelling Simulation and Optimization Iccmso 2025, 2025
    This study ventures into the Metaverse, unraveling the intricate connections between social engagement, risk perception, and consumer behavior in this rapidly expanding digital realm. Through a meticulous analysis, we unearth valuable insights that deepen our understanding of digital consumer behavior. Our findings highlight the pivotal role of social interaction in shaping consumer behavior in virtual environments. Furthermore, our research uncovers the link between social interaction, risk perception, and consumer behavior, underscoring the influence of both factors on consumer decision-making. Despite concerns about potential risks, participants actively engage in consumer activities, highlighting the importance of considering social dynamics and risk factors when studying digital consumer behavior. This study enriches our understanding of the complex factors shaping consumer behavior in the Metaverse era. Importantly, it provides practical insights for marketers, policymakers, and developers of virtual platforms, equipping them with knowledge to navigate the evolving digital landscape of the Metaverse. Our findings also serve as a springboard for future research, fostering innovation and informed decision-making in the Metaverse.
  • EDUCATORS' LEARNING EXPERIENCES AND INTENTION TO USE ONLINE LEARNING MANAGEMENT SYSTEMS’ PLATFORMS: A PERCEPTUAL STUDY
    Shruti Singha, Anindita Chakraborty
    Serbian Journal of Management, 2024
    This study examines the adoption and use of Online Learning Management Systems (OLMS) in central government universities in India, emphasizing the impact of instructors' previous online learning experiences. To accomplish this, we employed the Technology Acceptance Model as the theoretical foundation, expanding its scope to encompass external factors and perceived variables related to O-LMS adoption. We investigate OLMS adoption patterns, platform preferences, and the impact of ownership status on technological integration using survey data obtained from faculty members at the top ten central government universities. Through a rigorous survey conducted among 326 faculty respondents from esteemed institutions and universities, we delved into their experiences, challenges, and perceived benefits associated with O-LMS utilization. Our data show that Moodle is the most widely used OLMS platform, with 85% of surveyed universities using this open-source system. Furthermore, we identify the important impact that educators' prior online learning experiences have in molding their opinions of OLMS, emphasizing the need for extensive training and continuous support programs. Furthermore, our findings highlight the need for further research to investigate the efficacy of various OLMS platforms, longitudinal studies to track the long-term effects of adoption, and qualitative investigations into educators' perspectives and experiences. By focusing on these research directions, stakeholders can improve technology integration in educational settings, resulting in more effective and inclusive learning environments.
  • Comparing the Best-Fit and Integrating Generative Deep Learning with Time Series Models for Metal Price Forecasting: A Predictive Analysis
    Palash Bairagi, Shrey Arora, Anindita Chakraborty
    2024 1st International Conference for Women in Computing Incowoco 2024 Proceedings, 2024
    Forecasting metal prices in volatile financial markets is a challenging task due to the non-linear and stochastic nature of price movements. This research integrates deep learning techniques with time series models to predict metal prices, focusing on the MCX Index. A novel Generative Adversarial Network (GAN) framework, coupled with a Convolutional Neural Network (CNN) as a discriminator and Gated Recurrent Units (GRU) as a generator, is proposed. Historical NSE metal spot price data, specifically gold and silver, were used for model training and evaluation. The empirical results demonstrated that the proposed GAN-based architecture outperformed other deep learning models, including LSTM and Bi-LSTM, in terms of forecasting accuracy. The study provides valuable insights into the application of deep generative models for financial forecasting, addressing key challenges associated with modeling non-stationary and noisy financial data.
  • Synthesis of the effect of investor sentiment on stock returns: a systematic review
    Ajit Yadav, Anindita Chakraborty
    Global Business and Economics Review, 2023
    The effect of investor sentiment on stock returns is a topic of long-standing interest amongst behavioural economists. This paper systematically reviews the literature on the effect of investor sentiment on stock returns. We have systematically reviewed 107 selected studies and analysed them based on the year, journal of publication, country of sample data, study type, techniques employed, and citations. The literature analysis reveals the dearth of literature on the sentiment-return relationship in developing economies. It also highlights that there exists no set consensus on the sentiment-return relationship along with a lack of clear-cut distinction between the effect of components (rational or irrational) of investor sentiment on the stock performance. It also questions whether the investors can hedge against future risk and whether distinct return patterns are based upon the lead-lag variation or is merely the effect of the optimistic exuberance of the investors.
  • Demystifying blockchain adoption in financial sector—A critical analysis
    Shruti Singh, Anindita Chakraborty
    Distributed Computing to Blockchain Architecture Technology and Applications, 2023
  • Investor Sentiment and Stock Market Returns: Evidence from the Indian Market
    Ajit . Yadav, Anindita . Chakraborty
    Purushartha, 2022
    Investor sentiment refers to investors' confidence in the market based on their subjective beliefs. Investor sentiment has become a topic of substantial interest among academicians as investor sentiment induces uninformed demand shocks, which can potentially drive away stock prices from their fundamental value. This study expands the literature on the effect of investor sentiment on stock market returns by constructing an Investor sentiment index for the Indian market. We use Nifty-Fifty returns and the sample period ranges from April 2012 to March 2022. The Principal Component Technique is employed to construct an investor sentiment index using seven market and firm implicit proxies: advances to decline ratio, buy-sell imbalance ratio, equity issues to total issues, volatility premium, share turnover, price-earnings ratio, and turnover volatility ratio. The regression analysis shows that the investor sentiment index has the predictive power to forecast Nifty-Fifty returns.
  • Relationship between investor sentiment and stock returns: a bibliometric analysis using SCOPUS database
    Ajit Yadav, Anindita Chakraborty
    Global Business and Economics Review, 2022
  • Modeling a bi-directional sentiment-return relationship: Evidence from the Indian market
    Ajit Yadav, Anindita Chakraborty, Vijaya
    Investment Management and Financial Innovations, 2022
  • Tests of the fama and French three factor model with reference to industry cost of equity: Evidence from India
    Finance India, 2020
  • Impact of female director on firm performance in emerging economy
    International Journal of Scientific and Technology Research, 2020
  • Q-FACTORS IN EMPIRICAL ASSET PRICING: A REVIEW AND SYNTHESIS
    Smita Datta, Anindita Chakraborty
    Journal of Economic Surveys, 2019

RECENT SCHOLAR PUBLICATIONS

  • Is Social Media Transforming How We Manage Our Finances?
    S Singh, A Chakraborty
    Journal of Financial Counseling and Planning , 2026
    2026
    Citations: 1
  • Sustainable Finance: Insights and Directions
    A Chakraborty
    Humanized Intelligence in Sustainable Finance and Economic Behaviours, 39-59 , 2026
    2026
  • Tweets to Trades: Exploring the Influence of Social Media Interactions on Stock Market Participation: A Critical Review
    S Singh, A Chakraborty
    Psychology and Intricacies in Social Media Interactions, 297-312 , 2025
    2025
  • Construing the relationship between entrepreneurial adversity and mental well-being of small business owners during COVID-19 outbreak: The mediating role of entrepreneurial …
    S Singh, A Chakraborty
    FIIB Business Review 14 (5), 645-657 , 2025
    2025
    Citations: 10
  • Empirical insights into the distress risk anomaly: evidence from India
    P Singh, A Chakraborty
    Vilakshan-XIMB Journal of Management 22 (2), 269-281 , 2025
    2025
    Citations: 2
  • Navigating the Metaverse: The Interplay of Social Interaction and Consumer Behaviour
    S Singh, TS Ragi, SP Singh, A Chakraborty
    2025 4th International Conference on Computational Modelling, Simulation and … , 2025
    2025
    Citations: 1
  • The social ledger: qualitatively decoding interaction-driven investment decisions among Indian investors and fund managers
    S Singh, A Chakraborty
    Qualitative Research in Financial Markets 17 (4), 830-848 , 2025
    2025
    Citations: 6
  • Blockchain Revolution in the BFSI Sector: A Comprehensive Review and Bibliometric Analysis
    S Singh, A Chakraborty
    Paradigm 29 (1), 7-26 , 2025
    2025
    Citations: 1
  • Comparing the Best-Fit and Integrating Generative Deep Learning with Time Series Models for Metal Price Forecasting: A Predictive Analysis
    P Bairagi, S Arora, A Chakraborty
    2024 First International Conference for Women in Computing (InCoWoCo), 1-8 , 2024
    2024
  • Educators' learning experiences and intention to use online learning management systems’ platforms: a perceptual study
    S Singh, A Chakraborty
    Serbian Journal of Management 19 (2), 319-337 , 2024
    2024
    Citations: 6
  • Role of social media in investment decision-making: A comprehensive review and future roadmap
    S Singh, A Chakraborty
    Paradigm 28 (1), 45-64 , 2024
    2024
    Citations: 10
  • Rummaging the Effect of Social Media Interactions on Financial Decisions-A Critical Analysis
    S Singh, A Chakraborty
    International Management Review 20 (1), 75-82 , 2024
    2024
    Citations: 3
  • How Indian pharma industry performed in the last decade? Impact of a non-macroeconomic variable and financial distress
    P Singh, A Chakraborty
    Jindal Journal of Business Research 12 (2), 143-159 , 2023
    2023
    Citations: 7
  • Synthesis of the effect of investor sentiment on stock returns: a systematic review
    A Yadav, A Chakraborty
    Global Business and Economics Review 28 (4), 425-446 , 2023
    2023
    Citations: 5
  • Demystifying blockchain adoption in financial sector—A critical analysis
    S Singh, A Chakraborty
    Distributed Computing to Blockchain, 367-375 , 2023
    2023
    Citations: 3
  • Relationship between investor sentiment and stock returns: a bibliometric analysis using SCOPUS database
    A Yadav, A Chakraborty
    Global Business and Economics Review 28 (1), 62-90 , 2023
    2023
    Citations: 11
  • Financial Behaviour Of Working People Influenced By Financial Literacy And Financial Self-Efficacy: A Sem Approach.
    A Chakraborty
    Journal of Positive School Psychology 6 (9) , 2022
    2022
    Citations: 1
  • Investor sentiment and stock market returns: Evidence from the Indian market
    A Yadav, A Chakraborty
    PURUSHARTHA-A journal of Management, Ethics and Spirituality 15 (1), 79-93 , 2022
    2022
    Citations: 11
  • Estimating Financial Distress in Textile Sector: Implication of Z-Score
    P Singh, A Chakraborty
    IUP Journal of Accounting Research & Audit Practices 21 (1), 25-40 , 2022
    2022
    Citations: 2
  • Modeling a bi-directional sentiment-return relationship: Evidence from the Indian market
    V Ajit Yadav, Anindita Chakraborty
    Investment Management and Financial Innovations 19 (4), 83-98 , 2022
    2022
    Citations: 4

MOST CITED SCHOLAR PUBLICATIONS

  • Influence of risk-perception on retail investors’ decision making
    P Bairagi, A Chakraborty
    Available at SSRN 3846839 , 2021
    2021
    Citations: 31
  • Long-term price linkages between the equity markets and oil prices: A study of two big oil consuming countries of Asia
    P Negi, A Chakraborty, G Mathur
    Middle Eastern Finance and Economics 14, 141-151 , 2011
    2011
    Citations: 13
  • Effect Of Gender, Age And Income On Investors’ Risk Perception In Investment Decision: A Survey Study
    PBDA Chakraborty
    The IUJ Journal of Management , 2018
    2018
    Citations: 12
  • Relationship between investor sentiment and stock returns: a bibliometric analysis using SCOPUS database
    A Yadav, A Chakraborty
    Global Business and Economics Review 28 (1), 62-90 , 2023
    2023
    Citations: 11
  • Investor sentiment and stock market returns: Evidence from the Indian market
    A Yadav, A Chakraborty
    PURUSHARTHA-A journal of Management, Ethics and Spirituality 15 (1), 79-93 , 2022
    2022
    Citations: 11
  • Construing the relationship between entrepreneurial adversity and mental well-being of small business owners during COVID-19 outbreak: The mediating role of entrepreneurial …
    S Singh, A Chakraborty
    FIIB Business Review 14 (5), 645-657 , 2025
    2025
    Citations: 10
  • Role of social media in investment decision-making: A comprehensive review and future roadmap
    S Singh, A Chakraborty
    Paradigm 28 (1), 45-64 , 2024
    2024
    Citations: 10
  • Service Quality Perception of Corporate towards Private and Public Banks.
    G Mathur, A Chakraborty, S Vigg, U Holani
    Journal of Marketing & Communication 4 (1) , 2008
    2008
    Citations: 10
  • Macroeconomic Factors and Indian Stock Market: A Critical Reexamination of APT Model.
    A Chakraborty, A Gupta
    IPE Journal of Management 7 (1) , 2017
    2017
    Citations: 8
  • How Indian pharma industry performed in the last decade? Impact of a non-macroeconomic variable and financial distress
    P Singh, A Chakraborty
    Jindal Journal of Business Research 12 (2), 143-159 , 2023
    2023
    Citations: 7
  • Employees’ perception towards NPAs: A comparative study of public sector and private sector banks
    A Chakraborty
    Business spectrum 1 (3), 1-11 , 2012
    2012
    Citations: 7
  • Writing Research Paper
    SS Bhakar, T Singh
    2010
    Citations: 7
  • The social ledger: qualitatively decoding interaction-driven investment decisions among Indian investors and fund managers
    S Singh, A Chakraborty
    Qualitative Research in Financial Markets 17 (4), 830-848 , 2025
    2025
    Citations: 6
  • Educators' learning experiences and intention to use online learning management systems’ platforms: a perceptual study
    S Singh, A Chakraborty
    Serbian Journal of Management 19 (2), 319-337 , 2024
    2024
    Citations: 6
  • Timing skills of fund managers: a study of equity mutual fund schemes
    N Nathani, A Chakraborty, B Rawat, U Holani
    Bus Spectr I (1), 9-18 , 2011
    2011
    Citations: 6
  • Synthesis of the effect of investor sentiment on stock returns: a systematic review
    A Yadav, A Chakraborty
    Global Business and Economics Review 28 (4), 425-446 , 2023
    2023
    Citations: 5
  • Impact of Female director on firm performance in emerging economy
    S Yadav, A Chakraborty
    Int J Sci Technol Res 9 (1), 364-369 , 2020
    2020
    Citations: 5
  • Employees‟ Perception Towards NPAs: A Comparative Study of Public Sector and Private Sector Banks
    C Anindita
    Business Spectrum 1 (3), 1-11 , 2012
    2012
    Citations: 5
  • Modeling a bi-directional sentiment-return relationship: Evidence from the Indian market
    V Ajit Yadav, Anindita Chakraborty
    Investment Management and Financial Innovations 19 (4), 83-98 , 2022
    2022
    Citations: 4
  • Positive emotions and investment decisions: a conceptual exploration
    A Chakraborty
    Management Insight 15 (1), 12-17 , 2019
    2019
    Citations: 4