This paper reviews research that uses big data and/or machine learning methods to provide insight relevant for equity valuation. Given the huge volume of research in this area, the review focuses on studies that either use or inform on accounting variables. The article concludes by providing...

Purpose: In this paper we try to explain US stock market variations and cash flow fundamentals by employing three different book-valued based ratios, First, we explore the explanatory capacity of the simple book-market ratio on time-varying expected returns, and procced on altering its...

We constructed forecasts of earnings forecasts using data on 406 firms and forecasts made by 5419 individuals with on average 25 forecasts per individual. We verified previously found predictors, which are the average of the most recent available forecast for each forecaster and the difference...

Unlike previous studies which have examined the role of financial analysts in developed economies, the aim of this paper is to investigate whether following the Tunisian stock market opening, both the analyst forecast accuracy and the market’s reliance on analyst forecasts, increase with time....

In this study, we analyze the forecast accuracy and profitability of buy recommendations published in five major German financial magazines for private households based on fundamental analysis. The results show a high average forecast accuracy but with a very high standard deviation, which...

Some studies suggest that low capitalization stocks have great potential to provide returns above the market average, although some indicate that investment in small caps should be avoided, since they are market anomalies with low liquidity. This article develops a method based on an automated...

Financial markets are seen as one of the most important markets in economic terms. The activities of investors in the financial markets consist in predicting how best to invest the accumulated capital, using all kinds of analyzes and forecasts. In the literature on the subject, apart from...

This paper introduces a new algorithm for exploiting time-series predictability-based patterns to obtain an abnormal return, or alpha, with respect to a given benchmark asset pricing model. The algorithm proposes a deterministic daily market timing strategy that decides between being fully...

The recommendation of the analyst report is not only limited to a small number of ratings, but also biased toward a buy opinion with the absence of sell opinion. As an alternative to this, this paper aims to extract analysts' textual opinions embedded in the report body through text analysis and...