Published March 10, 2026 | Version v1
Journal article Open

Impact of Financial Journalism in Decoding Mathematical Market Trends and Navigating Volatility for Smarter Investing in Nigeria

Description

Background: In Nigeria’s financial market, a critical gap persists between the stochastic mathematical realities of economic indicators and the qualitative narratives presented to the retail public. Quantitative measures such as volatility, inflation, and exchange rate movements are frequently mediated through journalistic framing, which shapes investor perception and market behaviour.

Objective: This study examined how accurately Nigerian financial media interpret complex quantitative indicators in reporting market performance. It identified framing techniques used during periods of high volatility and assessed whether such frames distort mathematical realities.

Method: Adopting a conceptual review approach, the study was anchored on Media Framing Theory and Information Asymmetry Theory. Relevant literature on financial journalism, statistical communication, and behavioural finance was critically analysed to interrogate patterns of interpretive distortion and their implications for market efficiency.

Results: The analysis reveals a significant “Translational Divergence” between statistical measures and media narratives. Neutral indicators such as standard deviation and currency fluctuations are often reframed in alarmist terms, particularly during market turbulence. Such representations heighten perceived risk and may trigger reactionary behaviours, including panic selling and speculative dollarisation.

Conclusion: The study concludes that limited mathematical literacy in financial journalism contributes to information asymmetry and market inefficiency in Nigeria.

Unique Contribution: The study introduces Translational Divergence as a framework for analysing distortions in financial reporting.

Key Recommendation: It recommends integrating data science into journalism training and fostering collaboration with the Mathematical Association of Nigeria to standardise quantitative reporting.

Files

Files (61.5 kB)

Name Size Download all
md5:4690ecbb6639af0fb691041127fab1e4
61.5 kB Download

Additional details

Software

Repository URL
https://www.ijssar.com