We contribute to the debate over whether forecastable stock returns reflect an unexploited profit opportunity or rationally reflect risk differentials. We test whether agents could earn excess returns by selecting stocks which have a low market price compared to an estimate of the fundamental...

The authors apply the original variance bounds tests to the present value model for the U.K. stock market and amend these tests to take account of revisions in the model's parameters. They show that variance bounds tests that correct for this are no longer violated. However, they claim there is...

Models in behavioural finance have been developed to explain apparent anomalies in stock returns. A property common to a number of these models is that agents under react in the short run to public signals about future earnings. This contrasts sharply with the popular informal belief that stock...

This paper investigates whether excess stock price volatility may be due in part to a failure of the market to form rational expectations. Using data on analysts' expectations of long run earnings growth for individual companies, the authors report a number of interrelated results which lend...

In this paper we apply a regression test of the volatility of asset prices to a cross-section data set of US stock prices each year between 1932-71. We show that the rejection of REEM in the time series domain carries over to a data set consisting of observations on a cross-section of individual...

The decision of a committee is determined jointly by the voting process it adopts and the composition of its membership. The paper analyses the process through which committee members emerge from the eligible population and traces the consequences of this for the decisions of the committee. It...

Efficiency wage models typically study the determination of wages and effort levels in the context of a labour market where the supply side is competitive. In this paper, the authors examine the effects of unionization on wages and effort. In addition to the monitoring technology where a noisy...