Earnings forecasts in enterprise information systems environment

Abstract

With the globalisation and integration of world financial markets, the application of enterprise information systems has become more and more popular in the financial service sector. This paper examines the analyst's decision regarding allocation of effort to the precision and timeliness of earnings forecasts with financial decision support systems. Once an analyst decides to follow a firm, the analyst must choose the level of effort to devote to generating outputs, such as earnings forecasts. This paper provides insights into this by examining three issues concerning the forecasts of the individual analyst. First, forecast accuracy and frequency are modelled simultaneously. Then, whether these two effort allocation choices are complements or substitutes is tested. Finally, how competition affects these two characteristics is examined. The accuracy and frequency are examined with simultaneous equations. Results from this analysis suggest that analysts allocate effort among these two forecast criteria in a complementary way. Finally, empirical results reveal a positive association between competition and forecast frequency by the individual analyst. However, a significant association between competition and the individual analyst's forecast accuracy is not found.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 21 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.