
Abstract
This study addresses the limited evidence on cash flow prediction in Pakistan by examining how aggregate and disaggregated accrual-based models forecast future cash flows of non-financial firms. Using 20 years of firm-level data and panel regression with lag structures, we compare five models under AIC, SIC, SSE, and PIC criteria. The results show that combining aggregated cash flows with disaggregated accruals provides the most accurate three-year forecasts. This finding extends prior work in Pakistan by offering a more sustainable prediction framework. The implications are significant for accounting regulators. It is also suggesting the adoption of enhanced reporting practices under IAS-7 to strengthen transparency and to reduce the earnings management.
Keywords
Cash flows prediction, accruals, disaggregated accruals, sustainable models.
DOI
10.54784/1990-6587.1777
Journal of Economic Literature Subject Codes
M4, M00, M41
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Qayyum, A., Arslan, A., & AsadUllah, M. (2025). Prediction of Cash Flows: Selection of A Sustainable Model. Business Review, 20(2), 44-60. Retrieved from 10.54784/1990-6587.1777
Received:
July 01, 2025
Revised:
August 25, 2025
Accepted:
September 22, 2025
Published:
September 29, 2025
Included in
Publication Stage
Online First