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Paper ID:IJSREM68036

Investor Trust and Trading App Verification: A Conceptual Framework

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM68036

Volume:

10 |

10 |

Oct 2026

Pages:

1-8

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM68036

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AKG

Ashoka K. G.

Commerce

Alva's College, Karnataka, India

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SBNH

Shilpa Bhat N. H

Commerce

Dr. NSAM First Grade Degree College, Nitte, Karnataka, India

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MHR

Mahendra H. R.

Commerce

Mangalore University, Karnataka, India

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KN

Karthik Naik

Commerce

Alva's College, Karnataka, India

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Abstract

This conceptual paper examines why investors may trust a trading application that looks official without confirming who published it. It asks whether displayed verification symbols affect perceived legitimacy, whether independently checkable app origins and actual source checks improve identification, and whether a short reminder can help people distinguish genuine from deceptive applications. The analysis draws on selected financial-literacy, investor-behaviour and digital-finance studies, together with research on online trust signals and Indian securities regulation. It proposes a framework separating visible assurances, source provenance, independent checking and correct authentication. Seven hypotheses are developed and a controlled vignette experiment is outlined for later testing. The conceptual analysis suggests that a verification symbol should be interpreted in the context where it appears: a label attached to a genuine marketplace listing is not equivalent to its image in an unsolicited message. The paper does not report survey observations or estimated effects. Its contribution is a testable explanation of how investors can move from initial confidence to justified trust, while recognising genuine apps and rejecting deceptive copies.

KEYWORDS

trading apps; investor trust; verification signals; source provenance; investment fraud

Cite This Article

Ashoka K. G., Shilpa Bhat N. H, Mahendra H. R., Karthik Naik, "Investor Trust and Trading App Verification: A Conceptual Framework," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-8, Oct 2026. https://doi.org/10.55041/IJSREM68036

Full Article/Conclusion

This paper addresses a specific investor-protection problem: a trading app may look verified even when the evidence of its publisher has not been checked. For the first research question, prior research supports the possibility that visible assurance affects perceived legitimacy; the proposed model tests whether that effect becomes unsafe when a badge is detached from an authentic source. It does not claim that verified marketplace labels themselves are deceptive. For the second question, the paper identifies independently checkable provenance and observed checking as distinct requirements for evaluating correct authentication. Financial knowledge and confidence may influence behaviour, but neither replaces confirmation of the app’s origin. For the third question, the paper proposes a short reminder and specifies how to test whether it increases valid checking and improves classification without unnecessary refusal of genuine services. The main contribution is a conceptual framework that links an investor’s impression to the evidence used and the decision made. Its hypotheses and proposed experiment can be tested, but no effects or prevalence rates are reported here. Investor protection would be better assessed by the ability to distinguish genuine apps from deceptive copies than by trust ratings or fear of investment alone. The paper therefore places independent source authentication at the centre of future research on trading-app fraud resistance.

References

Agarwalla, S. K., Barua, S. K., Jacob, J., & Varma, J. R. (2015). Financial literacy among working young in urban India. World Development, 67, 101–109. https://doi.org/10.1016/j.worlddev.2014.10.004 Burke, J., Kieffer, C., Mottola, G., & Perez-Arce, F. (2022). Can educational interventions reduce susceptibility to financial fraud? Journal of Economic Behavior & Organization, 198, 250–266. https://doi.org/10.1016/j.jebo.2022.03.028 Chalissery, N., Tabash, M. I., Nishad, T. M., Aburezeq, I. M., & Daniel, L. N. (2023). Does the investor’s trading experience reduce susceptibility to heuristic-driven biases? The moderating role of personality traits. Journal of Risk and Financial Management, 16(7), 325. https://doi.org/10.3390/jrfm16070325 Chandani, A., Sanghvi, M., Wagholikar, S., Pathak, M., Bagade, S., Ubarhande, P., & Saini, U. (2025). Extending the technology acceptance model (TAM): Factors influencing behavioural intentions of investors to use the advice of finfluencers. Journal of Behavioral and Experimental Finance, 47, 101092. https://doi.org/10.1016/j.jbef.2025.101092 Friestad, M., & Wright, P. (1994). The persuasion knowledge model: How people cope with persuasion attempts. Journal of Consumer Research, 21(1), 1–31. https://doi.org/10.1086/209380 Hu, X., Wu, G., Wu, Y., & Zhang, H. (2010). The effects of Web assurance seals on consumers’ initial trust in an online vendor: A functional perspective. Decision Support Systems, 48(2), 407–418. https://doi.org/10.1016/j.dss.2009.10.004 Isaia, E., Oggero, N., & Sandretto, D. (2024). Is financial literacy a protection tool from online fraud in the digital era? Journal of Behavioral and Experimental Finance, 44, 100977. https://doi.org/10.1016/j.jbef.2024.100977 Kaiser, T., Lusardi, A., Menkhoff, L., & Urban, C. (2022). Financial education affects financial knowledge and downstream behaviors. Journal of Financial Economics, 145(2), 255–272. https://doi.org/10.1016/j.jfineco.2021.09.022

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Publication Date

10/19/2026

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