Academics and practitioners have long recognized the importance of a firm’s industry membership in explaining its financial performance. Yet, contrary to conventional wisdom, recent research shows that industry-specific profitability forecasting models are not better than economy-wide models....

We address whether analysts bias earnings forecast revisions and convey the bias using forecast revision consistency, i.e., the extent to which analyst reports with earnings forecast revisions include stock recommendation and target price revisions consistent in sign with the earnings forecast...

The study aims at simulating and forecasting a company's stock returns and prices by a fundamentalist analysis process based on a Vector Error Correction with Exogenous Variables (VECX) econometric model. To achieve this, we selected relevant fundamentalist indicators and specified a model...

The principal objective of this research study was to investigate the impact of the Great Economic Recession of 2008 on national banks' equity investment valuations and create an empirical model for predicting national banks' financial failure in the United States. The focal period of the study...

We show that quantile regression is better than ordinary-least-squares (OLS) regression in forecasting profitability for a range of profitability measures following the conventional setup of the accounting literature, including the mean absolute forecast error (MAFE) evaluation criterion....

Financial indicators are the most used variables in measuring the business performance of companies, signaling about the financial position, comprehensive income, and other significant reporting aspects. In a competitive environment, the performance measurement model allows performing...

We study the coordination problem of a two-firm supply chain in which firms simultaneously choose a capacity before demand is realized. We focus on the role that (a lack of) common knowledge of demand forecasts has on firms' ability to align their capacity decisions. When forecasts are not...

The scientific community has demonstrated that for the bankruptcy prediction, different techniques have different advantages on different data sets and different feature selection approaches. This subject has attracted a lot of research interests as it is one of the major preoccupation of...

We investigate the circumstances in which business cycle forecasting is beneficial for business by addressing both the short-run and the long-run aspects. For an assessment of short-run forecasting we make a distinction between using publicly available information of cycle probabilities and the...

In this paper we develop a sales forecasting model for a small sized business unit focused on exports. Through a choice of internal explanatory variables in the organization we develop an econometric sales forecasting method, and compare its outputs with simpler univariate forecasting techniques...