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Examining Risk Absorption Capacity as a Mediating Factor in the Relationship between Cognition and Neuroplasticity in Investors in Investment Decision Making

Author

Listed:
  • Yadav Devi Prasad Behera

    (Department of Business Management, Central University of Odisha, Koraput 763004, Odisha, India)

  • Sudhansu Sekhar Nanda

    (Kirloskar Institute of Advanced Management Studies, Harihar 577601, Karnataka, India)

  • Shibani Sharma

    (Department of Business Administration, Gangadhar Meher University, Sambalpur 768001, Odisha, India)

  • Tushar Ranjan Sahoo

    (National Institute of Science and Technology, Berhampur 761008, Odisha, India)

Abstract

The encouragement of potential investors who are emotionally broken by past losses and market experiences is crucial to the sustainable flow of funds to the stock market. This can be established by building a knowledge-creating mechanism among investors in their cognitive dimensions, which, in turn, can develop their risk-bearing potential to reach the optimum level so that emotionally broken investors can use their cognitive abilities with their developed risk-absorption potential to further invest in the market in the near future. This study investigates the mediating effect of risk-absorption attitudes in the relationship between cognition and neuroplasticity in investors. Data for the study collected from 506 individual retail investors’ samples using a stratified random sampling technique were analyzed through covariance-based structural equation modeling. The findings of the study indicate that the constructs, viz., the investors’ cognition, risk absorption, and neuroplasticity, are valid and reliable. The structural model also supports the notion that risk absorption mediates the relationship between the investors’ cognition and neuroplasticity. The outcomes of the study are expected to aid in the policy formulation for equity-related financial product marketers, such as depository participants, brokers, mutual funds and SIP institutions, and to help in healing psychological trauma that potential investors suffered from due to losses in the past and overcoming reluctances to further invest in stock markets. The investors’ terrible psychological health developed because of past loss experience can be restored through the concept of neuroplasticity, in which different cognitive dimensions are used, while also enhancing risk absorption in potential investors.

Suggested Citation

  • Yadav Devi Prasad Behera & Sudhansu Sekhar Nanda & Shibani Sharma & Tushar Ranjan Sahoo, 2022. "Examining Risk Absorption Capacity as a Mediating Factor in the Relationship between Cognition and Neuroplasticity in Investors in Investment Decision Making," IJFS, MDPI, vol. 10(1), pages 1-16, March.
  • Handle: RePEc:gam:jijfss:v:10:y:2022:i:1:p:21-:d:772183
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    References listed on IDEAS

    as
    1. Yadav Devi Prasad Behera & Sudhansu Sekhar Nanda & Saroj Kumar Sahoo & Tushar Ranjan Sahoo, 2021. "The Compounding Effect of Investors’ Cognition and Risk Absorption Potential on Enhancing the Level of Interest towards Investment in the Domestic Capital Market," JRFM, MDPI, vol. 14(3), pages 1-18, February.
    2. Burak Erkut & Tugberk Kaya & Marco Lehmann-Waffenschmidt & Mandeep Mahendru & Gagan Deep Sharma & Achal Kumar Srivastava & Mrinalini Srivastava, 2018. "A fresh look on financial decision-making from the plasticity perspective," International Journal of Ethics and Systems, Emerald Group Publishing Limited, vol. 34(4), pages 426-441, August.
    3. Jun Xie & Chunpeng Yang, 2015. "Investor sentiment and the financial crisis: a sentiment-based portfolio theory perspective," Applied Economics, Taylor & Francis Journals, vol. 47(7), pages 700-709, February.
    4. Ercan Özen & Gürsel Ersoy, 2019. "The Impact of Financial Literacy on Cognitive Biases of Individual Investors," Contemporary Studies in Economic and Financial Analysis, in: Contemporary Issues in Behavioral Finance, volume 101, pages 77-95, Emerald Group Publishing Limited.
    5. Yong Wang & Hanzhong Deng, 2018. "Expectations, Behavior, and Stock Market Volatility," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(14), pages 3235-3255, November.
    6. Wang, Kevin Q. & Xu, Jianguo, 2015. "Market volatility and momentum," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 79-91.
    7. Alok Kumar Mishra & Badri Narayan Rath & Aruna Kumar Dash, 2020. "Does the Indian Financial Market Nosedive because of the COVID-19 Outbreak, in Comparison to after Demonetisation and the GST?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2162-2180, August.
    8. Ripsy Bondia & Pratap Chandra Biswal & Abinash Panda, 2019. "The unspoken facets of buying by individual investors in Indian stock market," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 11(3), pages 324-351, June.
    9. Chau Duong & Gioia Pescetto & Daniel Santamaria, 2014. "How value-glamour investors use financial information: UK evidence of investors' confirmation bias," The European Journal of Finance, Taylor & Francis Journals, vol. 20(6), pages 524-549, June.
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