Published Paper Details:

This study fills in the gaps in cash flow forecasting by incorporating advanced statistical techniques and examining the relationship between creditors and debtors. Relationships between debt structure, creditor management, cash flow predictability, debtor collection length, and volatility are examined via hypotheses. Comprehending cash flow patterns, predicting debt collection, and creating models are among the goals. Data is gathered via research papers and surveys as part of methodology. Limitations include the intricacy of the elements impacting cash flow, assumption reliance, and data availability. The study that is being presented looks at cash flow forecasting techniques and how they affect financial management. The frequency of cash flow forecasting, the tools and techniques used, and the perceived accuracy are all revealed by statistical analysis. The results show a strong correlation between cash flow and debtor/creditor management, highlighting the necessity of sound financial practices for consistent cash flow. The study explores financial management techniques, emphasising the importance of debtor/creditor management and cash flow forecasts as well as its effects. For increased financial stability, recommendations include improving forecasting methods and broadening management approaches.