The relationship between credit policy and firms’ profitability: empirical evidence from Indian pharmaceutical sector

  • Received December 25, 2019;
    Accepted May 25, 2020;
    Published June 3, 2020
  • Author(s)
    Najib H.S. Farhan ,
    Mosab I. Tabash
    ORCID , Mohammad Yameen
  • DOI
    http://dx.doi.org/10.21511/imfi.17(2).2020.12
  • Article Info
    Volume 17 2020, Issue #2, pp. 146-156
  • TO CITE АНОТАЦІЯ
  • Cited by
    5 articles
  • 1859 Views
  • 639 Downloads

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

Credit policy plays a vital role in the operational efficiency of credit departments as it reduces the ambiguity of credit departments’ functions by giving clear guidelines and instructions. It also reduces the loan default and speeds up accounts receivable turnover. This paper seeks to evaluate the effect of credit policy on the profitability of pharmaceutical firms listed on the Bombay Stock Exchange (BSE), using a balanced panel data of 82 pharmaceutical firms from 2008 to 2017. The number of days’ collection period and the number of days’ payable deferral period are chosen for measuring firms’ credit policy, while return on assets (ROA) is used for measuring firms’ profitability. It is found that the number of days’ collection period and the number of days’ payable deferral period have a negative and significant effect on the profitability of the pharmaceutical firms, while the control variables leverage, firm size, and age negatively impact the profitability of pharmaceutical firms. Financial managers in pharmaceutical companies should reduce the number of days’ collection period and increase the number of days’ deferral period to reduce the risk of bad debts. Furthermore, they should conduct a credit analysis to evaluate potential clients as it prevents bad debts.

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    • Table 1. Variables description
    • Table 2. Descriptive statistics
    • Table 3. Correlation matrix
    • Table 4. Panel diagnostic tests
    • Table 5. Heteroscedasticity and multicollinearity tests
    • Table 6. Regression fixed effects model
    • Methodology
      Najib H.S. Farhan
    • Software
      Najib H.S. Farhan
    • Project administration
      Mosab I. Tabash
    • Supervision
      Mosab I. Tabash
    • Writing – review & editing
      Mosab I. Tabash
    • Conceptualization
      Mohammad Yameen
    • Investigation
      Mohammad Yameen
    • Writing – original draft
      Mohammad Yameen
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Investment Management and Financial Innovations
Investment Management and Financial Innovations