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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68007
Volume:
10 |
10 |
Oct 2026
Pages:
1-7
Publication Frequency:
Monthly (12 issues per year)
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.

Bachelor of Business Administration
KL university
Bachelor of Business Administration
KL university
Investors who worry more about inflation hold a larger share of inflation-hedging assets: each extra point of inflation risk perception is associated with about 6.7 more percentage points allocated to hedges, holding age, financial literacy and risk tolerance constant. This study surveys 120 individual investors (simulated placeholder data in this draft) and tests three hypotheses with Excel. A one-way ANOVA shows hedge allocation differs across income groups, F(2, 117) = 11.10, p < 0.001, with high-income respondents allocating the most (55.0% vs 44.9% for low income). A multiple regression explains 51.9% of the variance in hedge allocation (adjusted R² = 0.502, F(4, 115) = 30.99, p < 0.001). Inflation risk perception and financial literacy are the strongest predictors; risk tolerance is marginally significant (p = 0.049) and age is not. The results suggest that how investors perceive inflation, not only their means, shapes portfolio choices.
KEYWORDS
Inflation risk perception is the strongest predictor of how much of a portfolio is held in inflation-hedging assets, financial literacy adds explanatory power, and allocation differs by income group. The model explains about half of the variation in allocation. Limitations to address in the final version: 1. Data are simulated placeholders. Real survey data may produce different estimates; every number in Section 4 must be refreshed. 2. Cross-sectional design. The results show association, not causation; perceptions may also follow from holdings. 3. Self-reported allocations may be inaccurate, and the sample may not represent all investors. 4. Model checks. Report residual plots, normality, equal variances (Levene's test for ANOVA), multicollinearity (VIF) and a post-hoc test before drawing firm conclusions. 5. Hedge assets are grouped together. Equities, gold and real estate hedge inflation differently, so separate models by asset class would be informative. Future research could use panel data, add actual inflation rates, and compare periods of high and low inflation.
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Publication Date
10/14/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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