This paper seeks to enhance forecast accuracy by combining three individual forecasting models. These models include: the Autoregressive Integrated Moving Average model (ARIMA), the Generalized Autoregressive Conditional Heteroscedastic model (GARCH), and the Census X11 model. Applied to the...

This paper examines the relationship between ownership structure, analyst coverage, and forecast error for a sample of 160 companies listed on the Swiss Exchange for the period 2003-2013. A distinction is made between family firms, widely held firms, and firms owned by another blockholder. I...

We examine the effect of the common ownership relation between brokerage houses and the firms covered by their analysts (referred to as co-owned brokerage houses, co-owned firms, and connected analysts, respectively) on analyst forecast performance. Common ownership can help the connected...

This paper examines the initiation of analyst coverage of IPO firms in the presence of management forecasts. For a sample of 763 Australian IPOs from 1992 to 2004, we find firms that provide a management forecast in the prospectus are more likely to receive analyst coverage, after correcting for...

This paper aims to test the accuracy of three well-known equity valuation models for the period 1990 to 2006. This was done to a sample of German listed firms which diverge from the US market in accounting standards, market maturity and corporate governance culture (bank-based in contrast to the...

We examine the relationship between pre-grant patent disclosure and analyst forecast accuracy. We take advantage of the passage of the American Inventor's Protection Act (1999) that mandates public disclosure of all the information in patent application documents within 18-months after initial...

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...

This paper examines how the size of the rolling window, and the frequency used in moving average (MA) trading strategies, affects financial performance when risk is measured. We use the MA rule for market timing, that is, for when to buy stocks and when to shift to the risk-free rate. The...

One of the elements of company’s evaluation is ratio analysis. It includes computation of bankruptcy risk metrics. There are multiple such measures, of which two seem to be quite universal and commonly applied. These are current ratio and indebtedness ratio. In this study, the accuracy of...

Accurate Value at Risk (VaR) estimations are crucial for the robustness and stability of a financial system. Even though significant advances have been made in the field of risk modelling, many crises have emerged during the same period, and an explanation for this is that the advanced models...