•  
  •  
 
Business Review

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

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

Received:

July 01, 2025

Revised:

August 25, 2025

Accepted:

September 22, 2025

Published:

September 29, 2025

Included in

Accounting Commons

Share

COinS

Publication Stage

Online First

 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.