The effect of bond rating changes on common stock prices

The evidence in this paper suggests that downgrades by both Moody's and Standard and Poor's are associated with negative abnormal stock returns in the two-day window beginning the day of the press release by the rating agency. Significant negative abnormal performance can still be detected after eliminating observations containing obvious concurrent (potentially contaminating) news releases. There is little evidence of abnormal performance on announcement of an upgrade. Significant abnormal returns are associated with announcements of additions to the Standard and Poor's Credit Watch List, if either a potential downgrade or a potential upgrade is indicated.     

The effect of preferred stock rating changes on preferred and common stock prices

Daily returns are used to investigate the effect of preferred stock rating change announcements on preferred and common stock prices. Announcements that are free of confounding events, ‘clean’ announcements, significantly affect preferred stock prices. However, the effect occurs after the day of announcement, mostly on event day +1. Conversely, there is no evidence ‘clean’ announcements affect common stock prices. Larger preferred stock abnormal returns are associated with announcements that are contaminated by confounding events, but the abnormal returns appear to be the result of the confounding events more than the rating change.     

The effect of changes in reserve requirements on bank stock prices

The present study re-examines the tax burden effects of reserve requirements on bank profitability. It differs from previous work in two ways: (1) changes in stock prices, rather than accounting data, are used to measure profitability effects; and (2) emphasis is placed on changes in reserve requirements, as opposed to their level. Regarding the latter distinction, two kinds of changes are considered: (1) temporary changes in reserve requirements for the purpose of discretionary monetary policy, and (2) more permanent changes in reserve requirement levels. Based on the event-study methodology, temporary changes were found to have little effect on security prices, whereas more permanent changes had a stronger influence on bank stock prices, reflecting a tax burden effect.     

Dividends,taxes, and common stock prices: The ex-dividend day behavior of common stock prices before the income tax

This study examines the ex-dividend day behavior of common stock prices before the enactment of the federal income tax. On ex-dividend days during the pre-tax period, stock prices fell, on average, by the full amount of the dividend. The data are consistent with the hypothesis that (i) investors in the pre-tax period value dividends and capital gains as perfect substitutes and (ii) the differential taxation of dividends and capital gains has since caused investors to discount the value of taxable cash dividends in relation to capital gains.     

The effect of personal taxes on common stock prices: The case of a Belgian tax reform

This paper analyses how a Belgian tax reform affected the relative pricing of securities with differential tax treatment of dividends. The results show that stock prices reflect their relative personal tax advantage, and the price differentials are significantly related to dividend yield.     

Learning from peers' stock prices and corporate investment

Peers' valuation matters for firms' investment: a one standard deviation increase in peers' valuation is associated with a 5.9% increase in corporate investment. This association is stronger when a firm's stock price informativeness is lower or when its managers appear less informed. Also, the sensitivity of a firm's investment to its stock price is lower when its peers' stock price informativeness is higher or when demands for its products and its peers' products are more correlated. Furthermore, the sensitivity of firms' investment to their peers' valuation drops significantly after going public. These findings are uniquely predicted by a model in which managers learn information from their peers' valuation.     

The effect of tick size on managerial learning from stock prices

We investigate the effect of tick size, a key feature of market microstructure, on managerial learning from stock prices. Using a randomized controlled tick-size experiment, the 2016 Tick Size Pilot Program, we find that a larger tick size increases a firm's investment sensitivity to stock prices, suggesting that managers glean more new information from stock prices to guide their investment decisions as the tick size increases. Consistently, we also find that changes in managerial beliefs, as reflected in adjustments of forecasted capital expenditures, respond more strongly to market feedback under a larger tick size. Additional evidence suggests the following mechanism through which tick size affects managerial learning: a larger tick size reduces algorithmic trading, in turn encouraging fundamental information acquisition. Increased fundamental information acquisition generates incremental information about growth opportunities, macroeconomic factors, and industry factors, with respect to which the market has a comparative information advantage over management.     

The effect of market segmentation on stock prices: The China syndrome

China has an A-share market that is open only to local investors and a B-share market that is open only to foreign investors. Contrary to what has been observed in other markets with a similar segmented structure, the China B shares trade at a discount relative to the A shares. We show that the phenomenon can still be explained by basic economic principles. Specifically, the existence of the H-share and the “red-chip” markets in Hong Kong provide good substitutes for the B-share market. We find that when more H shares and red chips are listed in Hong Kong, the B-share discount becomes larger. This is consistent with the model of differential demand elasticity proposed by Stulz and Wasserfallen (Stulz, R., Wasserfallen, W., 1995. Review of Financial Studies 8, 1019–1057).     

Firm value and investment policy around stock for stock mergers

We study a sample of publicly traded firms that expand by acquiring other firms in pure, stock-for-stock mergers. After these mergers, we find that the diversification premium decreases for the acquiring firm due to having added a target firm trading at a discount. Furthermore, the acquiring firm experiences a decrease in investment opportunities and a decrease in leverage. This is an effect confined only to non-diversifying mergers. Our results indicate that the acquirer’s investment efficiency at the firm level remains unchanged after the merger.     

The effects of dividend yield and dividend policy on common stock prices and returns

This paper suggests that it is not possible to demonstrate, using the best available empirical methods, that the expected returns on high yield common stocks differ from the expected returns on low yield common stocks either before or after taxes. A taxable investor who concentrates his portfolio in low yield securities cannot tell from the data whether he is increasing or decreasing his expected after-tax return by so doing. A tax exempt investor who concentrates his portfolio in high yield securities cannot tell from the data whether he is increasing or decreasing his expected return. We argue that the best method for testing the effects of dividend policy on stock prices is to test the effects of dividend yield on stock returns. Thus the fact that we cannot tell, using the best available methods, what effects dividend yield has on stock returns implies that we cannot tell what effect, if any, a change in dividend policy will have on a corporation's stock price.     

Investor response to online value line rank changes: Foreign versus local stocks

We find that the Value Line effect is confined to U.S. stocks. U.S. listed stocks significantly outperform their benchmarks long after Value Line Timeliness rank change announcements. In contrast, we find no evidence of a Value Line effect for recommendations made for foreign stocks that list on U.S. exchanges, nor for those that list outside the U.S. For days surrounding rank change announcements, trading volume is abnormally high for U.S. listed stocks, but remains unchanged for the foreign stock sample. Our findings are unchanged after controlling for unique valuation challenges, varying market conditions, beta, firm size, book-to-market, momentum, and post earnings announcement effects.     

New empirical evidence on the investment success of momentum strategies based on relative stock prices

This paper provides significant extensions and tests of momentum trading strategies based on relative prices that were first explored by George and Hwang (2004). We develop new momentum strategies based on the ratio of the current stock price to each of five different reference points in past prices: 52-week high, 52-week median, 52-week low, half-year high, and 2-year high. We measure their investment performance on the basis of the Fama and French 3-Factor and Momentum Model (Carhart four-factor model), and further employ the technique of nested trading strategies to measure incremental performance. The strategy based on the ratio of current stock price to its 52-week high price is the most profitable, and its performance is robust when tested over a wide range of financial and economic factors. Our results provide strong new evidence of the investment merits of a momentum trading strategy based on the 52-week high price ratio, and add new weight to challenges to the hypothesis that the stock market is efficient in the semi-strong sense.     

Investment analysis and the adjustment of stock prices to common information

In this article we are concerned with the effect of the numberof investment analysts following a firm on the speed of adjustmentof the firm's stock price to new information that has commoneffects across firms. It is found that returns on portfoliosof firms that are followed by many analysts tend to lead thoseof firms that are followed by fewer analysts, even when thefirms are of approximately the same size. Many analyst firmsalso tend to respond more rapidly to market returns than dofew analyst firms, adjusting for firm size. This relation, however,is nonlinear, and the marginal effect of the number of analystson the speed of price adjustment increases with the number ofanalysts.     

The behavior of stock prices on LDC markets

The paper investigates the behavior of stock prices for a group of well established and newly emerging LDC securities markets. The results suggest the probability distributions to be consistent with a lognormal distribution with some securities exhibiting non-stationary variance. LDC markets, even though not as efficient as major DC markets, are quite comparable to the smaller European markets and the behavior of security prices as reported in this study appears to be generalizable for the heavily traded segments of LDC markets.     

The effects of changes in index composition on stock prices and volume: Evidence from the Istanbul stock exchange

Previous evidence has shown that stocks included in (excluded from) an index exhibit significant positive (negative) abnormal returns on the announcement day, and that trading volume is affected by the event. This study examines the price and volume effects on stocks associated with the changes in the value-weighted index composition of two indices, of the ISE, where the index funds and index derivatives do not exist. Consistent with previous evidence, stocks included in (excluded from) the index tend to generate positive (negative) abnormal returns in ISE. Volume and volume volatility are also significantly affected. Our results seem to support the hypotheses of price-pressure, imperfect substitute and attention due to the lack of index-funds and derivatives market in Turkey.     

The weekend effect on the distribution of stock prices: Implications for option pricing

Evidence of weekend effects on the distribution of security returns suggests that returns are generated by a process operating closer to trading time rather than calendar time. In contrast, accumulation of interest over the weekend follows a calendar-time process. Since both the variance of returns and the interest rate are important parameters of the Black-Scholes option pricing model, this paper suggests that the model be stated to account for this by utilizing a trading-time variance and a calendar-time interest rate. Empirical evidence indicates that this allows the model to better explain market option prices.     

The stock market and investment

Changes in stock prices have substantial explanatory power forU.S. investment, especially for long-term samples, and evenin the presence of cash flow variables. The stock market dramaticallyout-performs a standard q-variable because the market-equitycomponent of this variable is only a rough proxy for stock marketvalue. Although the stock market did not predict accuratelyafter the crash of October 1987, the errors were not statisticallysignificant. Parallel relationship for Canada raise the puzzlethat Canadian investment appears to react more to the U.S. stockmarket than to the Canadian market.     

The statistical evolution of prices on the Istanbul stock exchange

This study documents the statistical properties of the stock returns on the Istanbul Stock Exchange (ISE) for the January 1988 to December 1999 period and tries to assess the evolution of the underlying stochastic structure over this time period. It also investigates empirically the relative efficiency of the ISE to test whether the rapid development of this market over the last decade caused it to become a relatively more efficient market. This is accomplished through a number of parametric and non-parametric tests of the random walk hypothesis using daily, weekly and monthly observations of the value-weighted ISE-100 index series. The emphasis is more on the evolution of the price process than on static tests of a random walk model as such. The findings indicate that the price mechanism in the ISE has evolved into a more informationally efficient process in little more than a decade of existence.     

Options as a predictor of common stock price changes

Since rather novel techniques such as neural nets allow investigation of nonlinear model specification previously untested, it may be that traditional models of price formation underperform through misspecification rather than market efficiency. This paper explores whether a multilayer backpropagation model offers exploitable profit opportunities for some limited period. Using an intradaytransaction dataset obtained from the European Options Exchange (Amsterdam), We attempted to predict the return on Philips. Two neural nets are contrasted to ordinary linear regression analysis on the basis of three benchmarks (MSE, and net realized returns). An adaptively trained 33-14-1 architecture scored best on all criteria and yielded an annualized 11% return following a simple one-period trading strategy.     

The effect of monetary policy shocks on stock prices accounting for endogeneity and omitted variable biases

A new high frequency data set is used to estimate the impact of the Fed on the level and volatility of stock prices while accounting for endogeneity and omitted variable biases and potential asymmetries. Results show that after addressing these issues, the effect of policy shocks on the level and volatility of stock returns is higher than previously reported. GARCH findings indicate that the volatility impact is tent-shaped, spiking during policy announcements and declining before and after the release. The level and conditional volatility of stock returns is found to respond asymmetrically to the type of policy shocks (timing versus future path of monetary policy) and the type of policy action (easing versus tightening).