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...

In this paper, we compare two fundamentally different judgmental demand forecasting approaches used to estimate demand and their corresponding demand distributions. In the first approach, parameters are obtained from a linear regression and maximum likelihood estimation (MLE) based on team...

We develop a forecasting method for the manufacturer and online seller of a product collection that changes periodically and radically. The firm, an industry leader in technology and quality, has experienced double-digit annual sales growth. In seeking to minimize supply-demand mismatch costs...

Company bankruptcies are an inseparable element of market economy. We may observe the tendency to view bankruptcy as a problem of weak and usually small entities facing problems when trying to meet the challenge posed by strong competition. Big companies, however, also fall, and their bankruptcy...

We review 187 research papers of 37 financial analysts in Russian capital market on 2000-2010 time horizons with question: 'How analysts choose discount factor in DCF construction for calculation fair market value'. 96% of the analysts that justify the DCF construction on Russian capital market...

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...

The aim of this paper is to present corporate default prediction models constructed in the specific market conditions that prevail in the Republic of Serbia, and to compare their prediction accuracy with the most frequently used model – Altman's Z-score. Many authors have constructed models...

The main objective of this study is the development of the model for predicting illiquidity, i.e. identification of financial indicators on the basis of which one can predict illiquidity. The research focus is on large companies in the Republic of Serbia. Bearing in mind the results of previous...

We build a game-theoretic model to examine how better demand forecasting due to algorithms, machine learning and artificial intelligence affects the sustainability of collusion in an industry. We find that while better forecasting allows colluding firms to better tailor prices to demand...

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...