RATIONAL EXPECTATIONS UNDER CONDITIONS OF COSTLY INFORMATION

This paper analyzes optimal formation of rational expectations where information is costly to obtain to utilize. Under these conditions, expectations normally formed by an estimator will be intermediate between those based on all available information and those which are optimal extrapolative predictors. ¹ 1 A large literature has grown out of Muth's seminal article 2 which argued that expectations should be consistent with available information. 3 and others have used the techniques of 1 to formulate expectations making use of all the information contained in the past values of the series being predicted.
Since the costs of information are likely to vary less than the value of information, this model can explain systematic differences in expectations in markets, such as, labor, for which the value of accuracy of expectations differs between or among buyers and sellers. Similarly, expectations about the same variable may differ between markets where arbitrage is also costly. Section I extends a model due to Theil toanalyzetheeffectsofcostlyinformation. Illustrative applications are discussed in Section II .     

MANAGEMENT EARNINGS FORECASTS: THEIR USEFULNESS AS A SOURCE OF FIRM-SPECIFIC INFORMATION TO SECURITY ANALYSTS

Although managers frequently release earnings forecasts, little is known about how this information affects investor beliefs. This study compares changes in analyst earnings forecasts following the release of management forecasts: (1) to changes in analyst forecasts of a control sample of nonforecasting firms; and (2) between management forecasts with differing degrees of accuracy. The forecasting error of analyst estimates for firms releasing management forecasts decreases more rapidly than the errors associated with the control firms, which implies that management forecasts are useful. Analysts apparently are capable of determining which management forecasts are most accurate and responding appropriately.     

SECURITY ANALYST FORECASTS AND THE EARNINGS YIELD ANOMALY

This paper tests for existence of a positive relationship between the earnings yield anomaly and the earnings forecast error (EFE) effect. The earnings yield anomaly recognizes that stocks with low price-earnings ratios produce positive risk-adjusted returns. The EFE effect refers to the positively related stock price response to differences in reported earnings per share (EPS) and the EPS previously forecast by security research analysts. The within group method is used in order to remove the effect of the EFE. Empirical research findings based on 1979-1988 data, indicate that the EFE effect does not account for the earnings yield anomaly.     

THE SPEED OF ADJUSTMENT OF PRICES TO PRIVATE INFORMATION: EMPIRICAL TESTS

We estimate speeds of adjustment of individual stock prices to private information using daily data. We use a model in which private information gives rise to return variance and private information decays linearly over time. We find that, on average, about 85 percent to 88 percent of private information is incorporated into prices within one trading day, with variation depending upon the stock's trading volume and whether the stock is listed on an exchange. The findings support strong form market efficiency.     

COMMON STOCK RETURNS,EXPECTED INFLATION,AND THE RATIONAL EXPECTATIONS HYPOTHESIS

This paper provides empirical evidence that expected inflation has a cross-sectional impact on common stock returns. The study differs from others in that (a) the relation between stock returns and expected inflation is investigated in a two-factor asset pricing model, where the factors are the return on an equally weighted stock portfolio and the expected rate of inflation; (b) the estimation of the expected rate of inflation is based on the rational expectations hypothesis of Muth; and (c) a non-linear seemingly unrelated regression technique is employed to determine consistent and asymptotically efficient estimates. The joint hypothesis of the two-factor asset pricing model and rational expectations is not rejected in this study. It is found that the return on common stocks is significantly affected by expected inflation. Also stocks whose returns are positively correlated with expected inflation have lower expected returns.     

BROKERAGE ANALYSTS' RATIONALE FOR INVESTMENT RECOMMENDATIONS: MARKET RESPONSES TO DIFFERENT TYPES OF INFORMATION

We examine the rationales provided when sell‐side analysts change investment recommendations. Although most changes in investment advice cite company fundamentals, analysts justify one in eight recommendation changes solely on the basis of price movements. Although markets react to price‐basis recommendations, these reactions are smaller and less prolonged than to recommendations citing company fundamentals, consistent with investors' giving more weight to recommendations conveying fundamental information. Our results also suggest that sell‐side analysts' incentives are tilted against downgrades. Price responses to downgrades are more pronounced than to upgrades, even controlling for the rationale. Moreover, the language justifying an upgrade is more likely to cite a general change in business prospects. In contrast, downgrades are more likely accompanied by an explicit reduction in the analyst's earnings forecast. JEL classification: G24, G14, G12.     

THE INFORMATION CONTENT AND USEFULNESS OF THE TERM STRUCTURE OF THE NEW ZEALAND BANK BILL MARKET

This paper applies the rationality concept and expectations hypothesis to test the information efficiency of the term structure of the New Zealand bank bill market. Weekly data is collected from June 1986 to November 1988. The sample period is partitioned into two subperiods by the sharemarket crash in October 1987. The empirical results suggest the presence of a time varying risk premium. This is reflected by the significantly positive volatility measure in the first subperiod and the significant interest rate level variable in both subperiods. The forecast errors correlate significantly with the growth in money supply and overseas interest rate variables. Factors other than market information inefficiency could be responsible for the significant correlation; namely the impact of the sharemarket crash on market perceptions about inflation expectations and the non-simultaneous data problem in calculating the differential costs of borrowing. Despite the rejection of the joint hypothesis, forward rates are found to have information about future spot rates beyond that contained in past spot rates, and are able to predict interest rates at least 30 days ahead.