How effective is the cash conversion cycle in improving firm performance? Evidence from BRICS

Sofia Johan, Umar Nawaz Kayani, Muhammad Abubakr Naeem, Sitara Karim

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

This research focuses on the cash conversion cycle as a crucial metric for evaluating short-term firm performance. Despite its importance, there has been limited investigation into the relationship between the cash conversion cycle and firm performance within the five major emerging markets, namely Brazil, Russia, India, China, and South Africa (BRICS) as a single region. To bridge this gap, our study examines this relationship using a comprehensive dataset spanning the period of 2009–2019. Employing a set of regression analyses namely, seemingly unrelated regression, system generalized method of moments, dynamic quantile regression, and difference-in-difference regression, we provide empirical evidence indicating an inverse association between cash conversion cycle and firm performance across all BRICS countries. Specifically, firms with longer cash conversion cycle periods exhibit lower profitability compared to those with shorter cash conversion cycle periods. Moreover, our analysis incorporates various control variables encompassing firm and country characteristics, which also display significant relationships with firm performance. These empirical findings are robust, aligned with existing theoretical frameworks, and support the cash conversion cycle theory. The outcomes of this study offer valuable insights for investors, policymakers, financial managers, and debt holders, contributing to their decision-making processes.

Original languageEnglish
Article number101114
JournalEmerging Markets Review
Volume59
DOIs
Publication statusPublished - Mar 2024

Keywords

  • Cash conversion cycle
  • Emerging markets
  • Firm performance
  • Seemingly unrelated regression
  • Working capital management

ASJC Scopus subject areas

  • Business and International Management
  • Economics and Econometrics

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