Cash flows analysis plays an increasingly important role in the study of business dynamics since cash flows play a key role in the company's economic performance, not only from a standpoint but also in predictive terms. The literature on the subject is poor in number and depth of research, the samples analyzed so far are limited and the statistical tools are weak. Retracing the steps of past research, we studied the relationships between cash flows of several management areas and economic performance, using a complete sample of Italian listed companies in the 2008-2017 period with more solid statistical tools compared to previous studies. The database used to collect all the balance sheet data necessary to conduct our research is Amadeus of the Bureau Van Dijk platform, which already shows reclassified and easily comparable financial statements. Correlation and multiple regression analysis were used to assess if our cash flow proxies could be strong predictors of future cash flow and, consequently, of business performance. The flows for investments and the ability to generate cash, where the latter is positively correlated with future profitability, manage to explain, together with the net cash generation of the company, a large part of the variability of the operating income produced in subsequent periods. The flows from investments seem to be the most suitable for correctly classifying the most profitable companies in the medium-long term, while cash generation, deriving from the characteristic activity, contributes to providing answers, about corporate profitability, on shorter time horizons.

The relation between cash flows and economic performance in the digital age: An empirical analysis / Ferri, Salvatore; Tron, Alberto; Fiume, Raffaele; Della Corte, Gaetano. - In: CORPORATE OWNERSHIP & CONTROL. - ISSN 1810-3057. - 17:3(2020), pp. 84-91. [10.22495/cocv17i3art6]

The relation between cash flows and economic performance in the digital age: An empirical analysis

Ferri, Salvatore;Tron, Alberto;Della Corte, Gaetano
2020

Abstract

Cash flows analysis plays an increasingly important role in the study of business dynamics since cash flows play a key role in the company's economic performance, not only from a standpoint but also in predictive terms. The literature on the subject is poor in number and depth of research, the samples analyzed so far are limited and the statistical tools are weak. Retracing the steps of past research, we studied the relationships between cash flows of several management areas and economic performance, using a complete sample of Italian listed companies in the 2008-2017 period with more solid statistical tools compared to previous studies. The database used to collect all the balance sheet data necessary to conduct our research is Amadeus of the Bureau Van Dijk platform, which already shows reclassified and easily comparable financial statements. Correlation and multiple regression analysis were used to assess if our cash flow proxies could be strong predictors of future cash flow and, consequently, of business performance. The flows for investments and the ability to generate cash, where the latter is positively correlated with future profitability, manage to explain, together with the net cash generation of the company, a large part of the variability of the operating income produced in subsequent periods. The flows from investments seem to be the most suitable for correctly classifying the most profitable companies in the medium-long term, while cash generation, deriving from the characteristic activity, contributes to providing answers, about corporate profitability, on shorter time horizons.
2020
Earnings; cash flows; forecasting future cash flow
01 Pubblicazione su rivista::01a Articolo in rivista
The relation between cash flows and economic performance in the digital age: An empirical analysis / Ferri, Salvatore; Tron, Alberto; Fiume, Raffaele; Della Corte, Gaetano. - In: CORPORATE OWNERSHIP & CONTROL. - ISSN 1810-3057. - 17:3(2020), pp. 84-91. [10.22495/cocv17i3art6]
File allegati a questo prodotto
File Dimensione Formato  
Ferri_Relation_2020.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 775.38 kB
Formato Adobe PDF
775.38 kB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1616276
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? 0
social impact