Heterogeneous Internal Financial Drivers of Operating Cash Flow: Evidence from Quantile Regression in an Emerging Market
Articles
Muhammad Aamir Ali
https://orcid.org/0009-0004-4173-1077
Nazish Aamir
Titan Services, Qatar
Ali Raza Sattar
Global Business Studies, UAE
Published 2026-06-26
https://doi.org/10.15388/batp.2026.2
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Keywords

Cash From Operations
quantile regression
Pakistan
Stata
risk
emerging economies

How to Cite

Ali, M.A., Aamir, N. and Sattar, A.R. (2026) “Heterogeneous Internal Financial Drivers of Operating Cash Flow: Evidence from Quantile Regression in an Emerging Market”, Buhalterinės apskaitos teorija ir praktika, 33, pp. 1–16. doi:10.15388/batp.2026.2.

Abstract

This study aims to examine the determinants of operating cash flow (cash flow from operating activities, OCF) in dividend-paying firms in Pakistan. Using firm-level data and applying quantile regression alongside ordinary least squares (OLS), the analysis captures variations across the conditional distribution of OCF beyond mean-based estimates. The results indicate that total assets are negatively associated with OCF across most quantiles, suggesting lower efficiency in cash generation among larger firms. In contrast, sales and fixed assets exhibit consistently positive relationships, highlighting their importance for operational performance. Risk shows a positive association, particularly at higher quantiles, indicating stronger cash generation among higher-risk firms. Dividend payout is significant only at the upper quantile, implying a limited role relative to operational factors. Firm age is significant at lower and median quantiles but not at higher levels. Overall, the findings emphasize the role of operational scale, asset utilization, and risk in shaping OCF, with implications for financial decision-making in emerging markets.

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References

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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