Trade Credit in Non-Financial Firms of Pakistan: A Quantile Regression Approach
Author: Bilal Mustafa Hashmi

This study analyzed the determinants of trade credit in non-financial firms listed on the Pakistan Stock Exchange. This study emphasized on the relationship between trade credit and other financial resources such as self-financing and bank credit. The objective of the study was to use the Quantile Regression Approach to take into account the heterogeneity of firms in multiple quantiles of trade credit distribution. The study took into consideration the data of non-financial firms listed at the Pakistan Stock Exchange from a period of 2008-2016. The results reflect that for Short Term Debt, all the quantiles have a significant positive impact on Trade Credit. Where as in the Long Term Debt, the 5th and the 7th quantiles have a significant positive impact on Trade Credit. For profitability, the 7th, 8th & 9th quantile has a significant impact on Trade Credit. Similarly, other variables have been reported and discussed. The findings of this study help to have a better understanding of conflicting results of previous studies. It will also help the decision makers to analyze the trade credit with a different perspective. The results of this study show that the relationship between trade credit and other financial resources is not similar in every case. Supervisor:- Dr. Jalil Ahmad Malik Co-Supervisor:- Dr. Nadeem Ahmad Khan

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Supervisor: Jaleel Ahmed Malik
Cosupervisor: Nadeem Ahmed Khan

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