In this paper we adopt a principal components analysis (PCA) to reduce the dimensionality of the term structure and employ autoregressive models (AR) to forecast principal components which, in turn, are used to forecast swap rates. Arguing in favor of structural variation, we propose data...

In this study we forecast the term structure of FIBOR/EURIBOR swap rates by means of recursive vector autoregressive (VAR) models. In advance, a principal components analysis (PCA) is adopted to reduce the dimensionality of the term structure. To evaluate ex–ante forecasting performance for...

The paper proposes a data driven adaptive model selection strategy. The selection criterionmeasures economic ex-ante forecasting content by means of trading implied cash flows.Empirical evidence suggests that the proposed strategy is neither exposed to selection biasnor to the risk of choosing...

Electricity load forecasts are an integral part of many decision-making processes in the electricity market. However, most literature on electricity load forecasting concentrates on deterministic forecasts, neglecting possibly important information about uncertainty. A more complete picture of...

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...

We correlate analysts' forecast errors with temporal variation in investor sentiment. We find that when sentiment is high, analysts' forecasts of one-year-ahead earnings and long-term earnings growth are relatively more optimistic for “uncertain” or “difficult to value” firms. Adding...

Theory suggests that the informativeness of price at the time of an earnings announcement increases with the number of informed traders who possess superior information to process news from firm disclosures (Kyle 1985; Admati and Pfleiderer 1988; Kim and Verrecchia 1994). In this paper, we investigate...

Using data from Thomson Reuters I/B/E/S, we investigated the statistical properties of analysts' quarterly earnings projections in the years around the adoption of IFRS in Brazil (2007 to 2011). Characteristics such as accuracy, bias and precision of analysts' forecasts are useful in different...

This study examines whether analysts' decisions to issue cash flows forecasts depend endogenously on their decision to use these forecasts to set target prices. An endogenous switching regression model, with analyst report regimes of disclosure and non-disclosure of cash flow forecasts, shows...

We examine interactions between analyst earnings forecasts and management earnings forecasts by investigating: (1) managers' comparative efficiency relative to analysts at incorporating past earnings changes, accruals, stock returns and analyst-based earnings surprises into their earnings...