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 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...

We evaluate the influence of measurement error in analysts' forecasts on the accuracy of implied cost of capital estimates from various implementations of the ‘implied cost of capital' approach, and develop corrections for the measurement error. We document predictable error in the implied...

This paper examines whether the use of derivatives improves firms' information environment, which is a relatively under-investigated research area in risk management literature. Using a sample of French non-financial listed firms, we show that firms which use derivatives enjoy high levels of...

This paper examines the extent to which financial signaling affects the analysts' and managers' forecast releases. The findings give evidence of heterogeneity of analysts' forecast errors between firms with strong financial indicators (high signal group), weak financial indicators (low signal...

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...

Sell-side fundamental analyst reports are highly valued in the financial industry and include three main quantitative components: earnings forecasts, target prices, and buy/sell recommendations. An important question for investment managers is then, how accurate are the forecasts of fundamental...

Over the past 12 years, financial analysts across the world have been optimistically wrong with their 12-month earnings forecasts by 25.3%. This study may be the first of its kind to assess analyst earnings forecast accuracy at all listed companies across the globe, covering 70 countries. A...

We propose a novel method to forecast corporate earnings, which combines the accuracy of analysts' forecasts with the unbiasedness of a cross-sectional model. We build on recent insights from the earnings forecasts literature to improve analysts' forecasts in two ways: reducing their...

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...