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Paper Title

Impact of Narrative Bias and Market Liquidity on Stock Market Dynamics: Enhancing Predictive Accuracy of Share Prices

Authors

Gapat Parmeshwar Uttreshwar , Chaudhari Pradnya Shantaram , Atram Piyush Anil

Keywords

Narrative Bias, Market Liquidity, Stock Price Prediction, Investor Sentiment, Behavioural Finance

Abstract

Financial markets are not only driven by economic fundamentals, but also by psychological stories and market structure determinants that affect the decision-making process of investors. Studies conducted in Behavioural Finance theory indicate that investors tend to rely on current stories and opinions instead of making rational decisions. The present study is going to consider the effect of the combination of narrative bias and market liquidity on stock market processes and explore the potential of increasing prediction accuracy for shares by including these aspects into consideration. Narrative bias denotes the impact of the media story and social story on financial decision-making, whereas market liquidity implies ease of buying and selling shares without altering their price. With the help of sentiment analysis methods for determining narrative bias and liquidity measures like trading volumes and bid-ask spreads, this paper will establish a forecasting model for stock prices. The empirical study will be performed based on market data from different major stock exchanges, including the National Stock Exchange of India and the Bombay Stock Exchange. The regression and machine learning models will be employed to determine the connection between narrative bias, liquidity conditions, and stock price volatility. According to the results, it is evident that narrative bias plays an important role in determining investors' expectations and influences short-term stock price changes, whereas liquidity conditions have a significant effect on amplifying or weakening those impacts. The combination of both factors provides a more accurate forecasting model for predicting stock prices than the existing ones, which only consider historical stock prices.

How To Cite

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IJCRT — journal style
"Impact of Narrative Bias and Market Liquidity on Stock Market Dynamics: Enhancing Predictive Accuracy of Share Prices", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 5, page no.b202-b211, May 2026, Available :https://ijcrt.org/papers/IJCRT2605157.pdf
APA — 7th edition
Uttreshwar, G. P., Shantaram, C. P., & Anil, A. P. (2026). Impact of Narrative Bias and Market Liquidity on Stock Market Dynamics: Enhancing Predictive Accuracy of Share Prices. International Journal of Creative Research Thoughts, 14(5), b202-b211. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605157
MLA — 9th edition
Uttreshwar, Gapat Parmeshwar, et al. "Impact of Narrative Bias and Market Liquidity on Stock Market Dynamics: Enhancing Predictive Accuracy of Share Prices." International Journal of Creative Research Thoughts, vol. 14, no. 5, 2026, pp. b202-b211, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605157.
Chicago — 17th, bibliography
Uttreshwar, Gapat Parmeshwar, Chaudhari Pradnya Shantaram, and Atram Piyush Anil. "Impact of Narrative Bias and Market Liquidity on Stock Market Dynamics: Enhancing Predictive Accuracy of Share Prices." International Journal of Creative Research Thoughts 14, no. 5 (2026): b202-b211. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605157.
Harvard — author–date
Uttreshwar, G.P., Shantaram, C.P. and Anil, A.P. (2026) 'Impact of Narrative Bias and Market Liquidity on Stock Market Dynamics: Enhancing Predictive Accuracy of Share Prices', International Journal of Creative Research Thoughts, 14(5), pp. b202-b211. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605157
IEEE — numbered reference
G. P. Uttreshwar, C. P. Shantaram and A. P. Anil, "Impact of Narrative Bias and Market Liquidity on Stock Market Dynamics: Enhancing Predictive Accuracy of Share Prices," IJCRT, vol. 14, no. 5, pp. b202-b211, May. 2026.
Vancouver — biomedical
Uttreshwar GP, Shantaram CP, Anil AP. Impact of Narrative Bias and Market Liquidity on Stock Market Dynamics: Enhancing Predictive Accuracy of Share Prices. IJCRT. 2026 May;14(5):b202-b211.
AMA — 11th edition
Uttreshwar GP, Shantaram CP, Anil AP. Impact of Narrative Bias and Market Liquidity on Stock Market Dynamics: Enhancing Predictive Accuracy of Share Prices. IJCRT. 2026;14(5):b202-b211. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605157
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2605157, author = {Gapat Parmeshwar Uttreshwar and Chaudhari Pradnya Shantaram and Atram Piyush Anil}, title = {Impact of Narrative Bias and Market Liquidity on Stock Market Dynamics: Enhancing Predictive Accuracy of Share Prices}, journal = {International Journal of Creative Research Thoughts}, volume = {14}, number = {5}, pages = {b202-b211}, year = {2026}, month = {May}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605157} }
RIS — EndNote, RefWorks
TY - JOUR AU - Uttreshwar, Gapat Parmeshwar AU - Shantaram, Chaudhari Pradnya AU - Anil, Atram Piyush TI - Impact of Narrative Bias and Market Liquidity on Stock Market Dynamics: Enhancing Predictive Accuracy of Share Prices T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 14 IS - 5 PY - 2026 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605157 SP - b202-b211 ER -

Issue

Volume 14 Issue 5, May-2026
Pages : b202-b211

Article Information

Pages
b202-b211
Published
May 2026
Registration ID
IJCRT_307907
Published Paper ID
IJCRT2605157
Research Area
Science All
Author Type
Indian Author
Location
Pune, Maharashtra, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
171

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International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
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© 2026 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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