EVIDENCE ON THE BEHAVIOR OF BID AND ASK PRICES AT THE TURN OF THE YEAR: IMPLICATIONS FOR THE SURVIVAL OF STOCK RETURN SEASONALITY

We analyze changes at the turn of the year in the relative and standardized bid-ask spreads of New York Stock Exchange stocks before and after the introduction of personal income taxes in 1917. Previous research indicates the return seasonal arose in 1917. Here, we investigate when spread seasonals arose and whether spread changes are cross-sectionally correlated with the return seasonal. The results indicate that the year-end selling pressure, which began in 1917, is apparent as downward shifts in the stocks' bid and ask prices rather than as widening spreads. Additional evidence suggests the January return seasonal originated as compensation to specialists, as well as to competing traders, for incurring the costs of providing liquidity during the tax-induced seasonal trading pattern.     

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 EXCESSIVE VOLATILITY: SOME EVIDENCE FOR THE FT ORDINARY SHARE INDEX

In this paper the efficiency of the UK stock market is examined using the FT Ordinary share price and dividend indices for the period January 1947 to June 1987. In particular, we examine the validity of the present value model of stock prices using a vector error correction model (VECM). Amongst the findings reported in the paper are that stock prices and dividends are cointegrated and the cross-equation restrictions imposed on the VECM are strongly rejected.     

FURTHER EVIDENCE ON THE LIQUIDITY EFFECTS OF STOCK SPLITS AND STOCK DIVIDENDS

Currently, there is a limited amount of empirical evidence suggesting that stock splits are associated with a decline in trading liquidity. This evidence directly contrasts with managements' professed intentions for undertaking a split. The evidence to date, however, is of a short-run nature. This study reexamines the liquidity effects of stock splits and stock dividends by assessing both their short- and long-term effects on trading liquidity (i.e., proportional trading volume and percentage bid-ask spreads). The results suggest that stock dividends are associated with decreased proportional trading volume in both the short term and long term, but stock splits are not. The results also indicate that neither stock splits nor stock dividends have an effect on percentage bid-ask spreads.     

THE RELATIONSHIP BETWEEN EARNINGS YIELD AND MARKET VALUE: EVIDENCE FROM THE AMERICAN STOCK EXCHANGE

This paper provides new evidence on the empirical anomalies known as the earnings/price (E/P) effect and the size effect in the pricing of common stock. Previous authors have arrived at contradictory conclusions regarding the existence and relative importance of the anomalies, and the intent of this paper is to help clarify the issues. An empirical method used in a previous study of these issues is replicated and applied to a new set of firms—those traded on the American Stock Exchange (AMEX). This approach assures comparability with previous results and provides a sample with different market value and E/P distributions. The results from the AMEX suggest that the size effect and the E/P effect both exist and that the size effect is predominant. These results persist even after accounting for the January effect.     

THE OVERNIGHT AND DAILY TRANSMISSION OF STOCK INDEX FUTURES PRICES BETWEEN MAJOR INTERNATIONAL MARKETS

Stock index futures prices for the world's major equity markets, Japan, the UK and the US, are used to examine the interaction of international equity markets. By using stock index futures prices, we avoid the nonsynchronous data problem inherent with opening and closing market averages. We find that the US is the dominant world market; overnight returns in Japan and the UK are greatly influenced by the US daily returns. In contrast, the Japanese market has no impact on the overnight or daily returns in the UK, while the UK daily performance has a small influence on Japanese overnight returns. Slight evidence of over-reaction at the opening of Japanese futures exists as the daily Nikkei returns are negatively related to the US returns.     

THE EFFECT OF PAYMENT DELAYS ON STOCK PRICES

In this paper stock returns are modeled as a function of payment delays. Three hypotheses are tested: (1) that buyers compensate sellers for a six-business-day payment delay; (2) that the rate of compensation is the riskless rate; and (3) that this delay is solely responsible for day-of-the-week effects. Results support the first and second hypotheses, but not the third. The coefficient on the variable that controls for payment delays is correctly signed and statistically significant. It is the correct size in all periods but one. However, the estimated rate of compensation probably differs across days of the week. Finally, controlling for a six-business-day payment delay fails to eliminate the weekly pricing pattern.     

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.     

MARKET SEGMENTATION AND INTERNATIONAL ASSET PRICES: EVIDENCE FROM THE LISTING OF WORLD EQUITY BENCHMARK SHARES

This article provides an empirical analysis of the announcement effect of the listing of the seventeen World Equity Benchmark Shares (WEBS) on the returns of the corresponding market index returns and closed‐end country fund premiums. I find that the announcement of the listing of the WEBS resulted in a positive market price reaction for the market indexes. Furthermore, there was a significant decline in premiums for closed‐end country funds. The findings are consistent with models of international asset pricing under market segmentation and they illustrate that the listing of internationally tradable securities is an effective mechanism for integrating international capital markets. JEL classification: G14, G15     

RESPONSE OF STOCK PRICES TO MONEY SUPPLY ANNOUNCEMENTS: AUSTRALIAN EVIDENCE

This paper extends the literature on the money supply announcement effect by examining the response of stock prices to the monthly announcements of the money supply made in Australia. The unexpected component of the money supply change is identified using both a market based survey of expectations and rolling ARIMA time series models. The analysis is further extended to examine the impact of the money supply announcements during the period of monetary target-ting; the cross-sectional impact of the announcements across various stock price indices and the pre- and post-announcement responses of stock prices. The results documented show no evidence of a significant stock price response to the money supply announcements in Australia.     

ON THE DYNAMIC RELATION BETWEEN STOCK PRICES AND EXCHANGE RATES

Abstract In this study we apply recent advances in time-series analysis to examine the intertemporal relation between stock indices and exchange rates for a sample of eight advanced economies. An error correction model (ECM) of the two variables is employed to simultaneously estimate the short-run and long-run dynamics of the variables. The ECM results reveal significant short-run and long-run feedback relations between the two financial markets. Specifically, the results show that an increase in aggregate domestic stock price has a negative short-run effect on domestic currency value. In the long run, however, increases in stock prices have a positive effect on domestic currency value. On the other hand, currency depreciation has a negative short-run and long-run effect on the stock market.