EARNINGS EXPECTATIONS, FIRM SIZE, AND THE INFORMATIVENESS OF STOCK PRICES

The notion that prices impound a wide array of information, including market expectations, has led to earnings forecast models conditioned on prices. Yet, presumably, analysts' forecasts capture both public information and certain private information not previously impounded in prices. Accordingly, price-based models are seemingly an inefficient, and less effective, source of expecta-tions. This article investigates this hypothesis using financial analysts', price-based, and naive forecasts. Results indicate that analysts' forecasts (1) are at least as accurate as price-based and naive models, and (2) yield better expectations for market tests relating returns and earnings. These inferences are robust across different information environments. The evidence suggests that analysts either possess private information or are more effective information processors, or both.     

STOCK PRICES AND INFLATION

Numerous empirical studies establish that inflation has a negative short‐run effect on stock returns but few studies report a positive, long‐run Fisher effect for stock returns. Using stock price and goods price data from six industrial countries, we show that long‐run Fisher elasticities of stock prices with respect to goods prices exceed unity and range from 1.04 to 1.65, which tends to support the Fisher effect. We also find that the time path of the response of stock prices to a shock in goods prices exhibits an initial negative response, which turns positive over longer horizons. These results help reconcile previous short‐run and long‐run empirical evidence on stock returns and inflation. Also, they reveal that stock prices have a long memory with respect to inflation shocks, such that investors should expect stocks to be a good inflation hedge over a long holding period. JEL Classification: G12     

INVESTOR RELATIONS, LIQUIDITY, AND STOCK PRICES

Although the first investor relations department was established by General Electric as long ago as 1952, the role of investor relations (IR) is one that has largely escaped scientific analysis and academic scrutiny. This article attempts to demonstrate the importance of a company's IR activities for its stock price by establishing a clear chain of causation between the following:

• (1)

   corporate IR activities and the number of stock analysts who follow the firm;

       
  
  

MONETARY AND FISCAL POLICIES AND STOCK PRICES

Investigations into business cycles have found money supply to be a lead variable to stock prices. However, some would argue that the stock market, being efficient, anticipates money supply changes and therefore, stock prices are lead variables to money supply changes. Recent developments in time series methods have facilitated the testing of these relationships through identifying bivariate and multivariate autoregressive models. However, in many cases, the results using different procedures contradict themselves and are in conflict with theoretical reasonings. In this paper the causal relationship is tested between fiscal and monetary policies and stock prices using Canadian data and bivariate andmultivariate autoregressive models.     

ON THE FUNCTIONAL FORM OF EARNINGS AND STOCK PRICES: INTERNATIONAL EVIDENCE AND IMPLICATIONS FOR THE E/P ANOMALY

This paper examines the functional form of earnings and stock prices on US and Finnish stock markets. Although the functional specification of the components of financial ratios based on purely accounting numbers has received considerable attention, the functional form of earnings and stock prices has not been investigated carefully enough. This investigation is, however, important because of the common use of E/P ratio in financial statement analysis. The empirical evidence provided by this study indicates that the proportional relationship between earnings and stock prices is rejected in both countries. In addition, it is discovered that this deviation from proportionality is a major factor producing the so-called E/P anomaly in these two countries.     

DIVIDEND CHANGE ANNOUNCEMENT EFFECTS AND EARNINGS VOLATILITY AND TIMING

Recent modeling using the asymmetric information framework suggests that the magnitude of a market response to dividend change announcements should be related to the timing of the dividend announcement vis-a-vis the earnings release and to the stability of those earnings. The announcement effects of regular quarterly dividend changes are tested and these effects are related to the percentage change in the dividend yield, to the stability of the firm's earnings, to the timing of dividend and earnings announcements, and to the level of earnings compared with prior quarters. Analysis indicates that significant relationships exist between the announcement effect and changes in the dividend yield, and whether the dividend change is positive or negative. Only weak evidence exists that dividend announcement effects are larger when current earnings are unknown.     

EARNINGS ANNOUNCEMENTS,QUALITY AND QUANTITY OF INFORMATION,AND STOCK PRICE CHANGES

We analyze the informational effect of earnings announcements on stock price changes. Although prior studies postulate that the direction and magnitude of earnings surprises contribute to abnormal stock price changes, we attribute earnings surprises and subsequent stock price changes to the quality and quantity of available information. If a stock is followed by many financial analysts, the amount of information available to investors contributes to higher quality information, which in turn is reflected by a small earnings surprise. Furthermore, we demonstrate that as the quality and quantity of information increase, stock prices adjust more quickly, which sheds additional light on the post-earnings-announcement drift issue. Finally, cross-sectional analysis reveals that the flow of information, as measured by the rate of trading volume changes, and the stock of information, as measured by the number of financial analysts, contributes significantly to the variations in excess returns and return volatility. Traditional variables, such as earnings surprises, earnings reporting lag, and firm size, do not perform well.     

RELATIVE STOCK PRICES AND THE FIRM SIZE EFFECT

A stock's relative price ratio, defined as the ratio of the current price to the average of the highest and lowest prices over some holding period, is shown to be a better predictor of future stock returns than firm size. The price ratio has an even stronger January seasonality than does firm size. After controlling for price ratio variations, firm size has no significant relationship to return. The abnormal returns for the price ratio effect are consistent with those predicted by optimal tax selling considerations.     

DEREGULATION AND THE VOLATILITY OF UK STOCK PRICES

This paper examines the behaviour of the UK stock market for significant changes in volatility over the four years surrounding Big Bang i.e. 27 October, 1986 when the market was substantially deregulated. The main findings are that after Big Bang but prior to Black Monday, the UK stock market was no more volatile than prior to Big Bang, but that after Black Monday, the UK market was more volatile than prior to Big Bang even after adjusting for increases in global volatility.     

THE TIMELINESS OF HALF YEARLY EARNINGS ANNOUNCEMENTS AND STOCK RETURNS

This paper examines the association between the timeliness of the half-yearly report for Australian firms and the abnormal stock price behaviour around the time of the announcement. The results support the overseas evidence that reports containing ‘good’ news are released earlier than reports containing ‘bad’ news. The abnormal returns are consistent with the direction and magnitude of the earnings and dividend information. We find no evidence to support the Kross and Schroeder [1984] conclusion that timeliness per se is associated with abnormal returns once appropriate control is made for earnings/dividend information.