Assets Growth and Common Stock Returns in the Nepali Capital Market
Study Overview and Methodology
- Primary Objective: To assess how changes in firm assets influence the variation in expected common stock returns in the Nepali capital market.
- Scope and Data: A balanced panel dataset of 48 firms over 12 years (spanning 2010/11 to 2021/22), totaling 576 observations.
- Data Sources: Stock prices and capital gain yields were sourced from the NEPSE (Nepal Stock Exchange) database; asset growth parameters were obtained from individual financial reports.
- Methodological Tools: Descriptive statistics, correlation analysis, and Ordinary Least Square (OLS) multiple regression analysis.
- Sampling Strategy: Stratified and purposive sampling categorized firms into three groups: Banking and Financial Institutions (BFIs), Insurance Companies, and Other Companies.
Asset Growth Decomposition and Models
- Total Assets Growth (ΔTA): Represents the aggregate growth but fails to distinguish which specific asset categories drive stock returns.
- Decomposition Formula:
ΔTA=ΔLA+ΔCA+ΔPPE+ΔOA
- Variable Definitions:
- CGYit: Capital gain yield for firm i at year t.
- DYit: Dividend yield.
- TYit: Total yield (CGY+DY).
- ΔLA: Liquid Asset growth (cash and cash equivalents).
- ΔCA: Current Assets growth (excluding LA).
- ΔPPE: Property, Plant, and Equipment growth.
- ΔOA: Other Assets growth (intangible assets, R&D, and financial assets).
- Outlier Control: A dummy variable (DUit) was introduced to exclude observations where assets growth exceeded 500%, often due to mergers, acquisitions, or further public offerings.
Key Empirical Findings
- Descriptive Statistics:
- Total assets growth (TA) averaged 24.7% (0.247) with a standard deviation of 51.2%.
- Other assets growth (OA) showed the highest average at 58.8%.
- Total Asset Performance: Contrary to global anomalies, higher total assets growth is linked to greater equity returns in the Nepali market.
- Decomposition Results:
- ΔOA (Other Assets Growth): The only component with a consistently significant positive impact on common stock returns for the full sample, BFIs, and insurance firms.
- ΔLA, ΔCA, and ΔPPE: Showed statistically insignificant relationships with common stock returns.
- Industry Specifics: In BFIs, stock returns are positively affected by rapid asset base expansion. In contrast, models for the "Other Companies" group were found to be statistically inappropriate (F-test was insignificant).
Discussion and Theoretical Contrast
- The Global Anomaly: Seminal studies like Cooper et al. (2008), Fama & French (2015), and Titman et al. (2004) document a negative association between asset growth and future returns, often attributed to overinvestment or managerial agency problems.
- The Nepali Context: Findings contradict the "asset growth effect" observed in developed markets. In Nepal, asset expansion—specifically in "other assets"—is interpreted by investors as a signal of business expansion and improved future prospects rather than overvaluation.
- Conclusion: The study suggests that emerging markets like Nepal exhibit unique behaviors due to limited information flow and lower market efficiency, requiring context-specific asset pricing models.