This paper presents empirical evidence that security analysts do not efficiently use publicly available macroeconomic information in their earnings forecasts for emerging market stocks. Analysts completely ignore forecasts on political stability, while these provide valuable information for...

The effectively mandatory provision of management forecasts of earnings is a unique feature of Japan's financial disclosure system. The first objective of this study is to identify the determinants of systematic bias in management forecasts using a sample of more than 36 000 one-year-ahead...

Financial analysts comprise one important group of information intermediaries between firms and investors (Healy & Palepu, 2001). They have great potential to decrease information asymmetry between firms and investors, resulting in better allocation of capital. Analysts work is influenced by,...

During times when the Chinese government wished to prop up the market, sell-side analysts from brokerages with significant government ownership issued relatively less pessimistic (or more optimistic) earnings forecasts, earnings-forecast revisions, and stock recommendations; they were also...

This article examines fractional processes as alternatives to random walks in emerging foreign exchange rate markets. Sowell's (1992) joint maximum likelihood is used to estimate the ARFIMA parameters and test for random walks. The results show that, in most cases, the emerging market exchange...

The estimation of expected security returns is one of the major tasks for the practical implementation of the Markowitz portfolio optimization. Against this background, in 1992 Black and Litterman developed an approach based on (theoretically established) expected equili-brium returns which...

We show analytically under quite general conditions that implied rates of return based on analysts' earnings forecasts are only a downward biased estimator for future expected one-period returns and therefore not suited for computing market risk premia. The extent of this bias is substantial as...