New evidence on price impact of analyst forecast revisions

Previous research shows a positive relationship between consensus forecast revisions and stock returns in developed markets. We obtain new evidence from four major Asia-Pacific markets that suggest that abnormal returns are related to latest forecast revisions. The price impact of negative revisions is consistently stronger than that of the positive revisions. We also found considerable differences in price impact between developed and emerging markets for positive revisions, while no such difference is detected for negative revisions. The latest forecast revisions and category of analysts (those working in international broking firms) appear to be two key determinants of abnormal stock returns.     

Dividend Omissions and Intraindustry Information Transfers

We examine potential information transfers from companies that announce dividend omissions to their industry rivals. Specifically, we examine the abnormal stock returns and abnormal earnings forecast revisions of rivals after a company makes a dividend‐omission announcement. Our results show negative and significant abnormal stock returns and negative and significant abnormal forecast revisions for rival companies in response to the announcement, and a significant and positive relation between the two. We conclude that a dividend‐omission announcement transmits unfavorable information across the announcing company's industry that affects cash flow expectations and ultimately stock prices.     

Do industries lead stock markets?

We investigate whether the returns of industry portfolios predict stock market movements. In the US, a significant number of industry returns, including retail, services, commercial real estate, metal, and petroleum, forecast the stock market by up to two months. Moreover, the propensity of an industry to predict the market is correlated with its propensity to forecast various indicators of economic activity. The eight largest non-US stock markets show remarkably similar patterns. These findings suggest that stock markets react with a delay to information contained in industry returns about their fundamentals and that information diffuses only gradually across markets.     

Linkages among European and world stock markets

Causal relations and dynamic interactions among equity returns in ten countries for the period 1983–1994 are analysed. An innovation accounting approach based on a multivariate vector autoregressive (VAR) model is used to estimate the proportion of each market return's forecast error attributable to innovations in foreign market returns. Three major results appear. The variance decompositions indicate a strong degree of economic interaction among stock markets. The US stock market has a considerable influence on stock market performance in almost every country, while there is no substantial inter-continental influence from the European stock markets on the world's two largest equity markets in New York and Tokyo. Finally, the pattern of the impulse-response functions illustrates a rapid international transmission of stock market events, supporting the hypothesis of international stock market efficiency.     

Understanding analysts' use of stock returns and other analysts' revisions when forecasting earnings

We investigate analysts' use of stock returns and other analysts' forecast revisions in revising their own forecasts after an earnings announcement. We find that analysts respond more strongly to these signals when the signals are more informative about future earnings changes. Although analysts underreact to these signals on average, we find that analysts who are most sensitive to signal informativeness achieve superior forecast accuracy relative to their peers and have a greater influence on the market. The results suggest that the ability to extract information from the actions of others serves as one source of analyst expertise.     

The information content of financial analysts' forecasts of earnings: Some evidence on semi-strong inefficiency

The paper assesses the information content of revisions in financial analysts' forecasts of earnings by analyzing the relation between the direction of these revisions and stock price behavior. Abnormal returns during the months surrounding the revisions in analysts' forecasts are computed and evaluated. The results strongly indicate that information on revisions in forecasts of earnings per share is valuable to investors. It is also suggested that market reaction to the disclosure of analysts' forecasts is relatively slow and gives rise to potential abnormal returns to investors who act upon this type of publicly available information.     

Do industries lead stock markets? A reexamination

Hong et al. (2007) report that a number of U.S. industry returns can forecast the stock market using monthly data. Reexamining their results with an extended period, 1946–2013, and data, 48 industries, I find that only one to seven industries have significant predictive ability for the stock market, depending on the significance level (10% or 5%) and the model specifications used. However, I find some evidence of the opposite predictive direction from the stock market to industries. The stock market also performs better than industries in predicting economic growth. Using similar data, 34 industries, and period, 1946–2002, as Hong et al., I find that the results are less significant after data revisions. My overall results are consistent with the efficient market hypothesis.     

The value of stock analysts' recommendations: Evidence from emerging markets

This is the first study to empirically examine post-recommendation buy and hold abnormal returns in emerging markets. By analyzing a sample of 13 emerging countries over the decade from 1996 to 2005, we find that stock prices react strongly to stock analyst recommendations and revisions. We also find that there is a stronger positive bias in analyst recommendations and revisions in emerging markets compared with that in developed markets. In our cross-sectional analysis, we find that the Market-to-Book ratio is the primary indicator for Buy and Strong Buy recommendation regressions. This indicates that stock analysts in emerging markets prefer high growth stocks with attractive characteristics.     

Baltic stock markets and the financial crisis of 2008–2009

This study presents new evidence on stock market integration by investigating the linkages between developed European stock markets and emerging stock markets. We focus on three countries in the Baltic region, namely Estonia, Latvia and Lithuania with particular attention to the recent financial crisis of 2008–2009. The study is motivated by traditional stock market studies of integration, which show that developed stock markets are highly integrated, while emerging markets may be segmented. How integrated these emerging stock markets are in a crisis period with respect to the EUROSTOXX50 stock index is an empirical question investigated in this study. While the results of this study demonstrate that the Baltic stock markets were apparently segmented before the crisis, they were highly integrated during the crisis. The results of the variance decomposition analysis show that a large proportion of the forecast variance of the Baltic stock markets can be explained by the EUROSTOXX50 during the crisis. The results from the quantile regressions demonstrate that during the crisis the returns of the lowest quantile were most sensitive to the EUROSTOXX50 stock index. All these results imply less diversification benefits during crises when investors would need them the most.     

The Information Content of Just-in-Time Inventory System Adoption Announcement

This paper examines the stock market reaction and analysts' earnings forecast revisions associated with just-in-time (JIT) inventory system adoption announcements. The stock market reaction is positive, however, analysts do not revise their earnings forecasts when firms announce a JIT adoption. The results of the paper show mixed support for the hypothesis that JIT is viewed by markets as a costly capital expenditure intended to increase the net cash flows of the firm and mixed support for the hypothesis that JIT is viewed by markets only as an accounting change.     

EARNINGS FORECAST REVISIONS ASSOCIATED WITH STOCK SPLIT ANNOUNCEMENTS

Recent studies document abnormal stock returns at stock split announcements. Three hypotheses related to expected future earnings—the trading range, attention, and signaling hypotheses—have been offered as explanations. Evidence has also been provided that splitting firms have greater postannouncement earnings growth than control nonsplitting firms. Using earnings expectation data from the Institutional Brokers Estimate System, significantly greater forecast revisions are found in this study for split firms than for control nonsplit firms. The difference is significantly related to abnormal stock returns of splitting firms.     

Baltic stock markets and the financial crisis of 2008–2009

This study presents new evidence on stock market integration by investigating the linkages between developed European stock markets and emerging stock markets. We focus on three countries in the Baltic region, namely Estonia, Latvia and Lithuania with particular attention to the recent financial crisis of 2008–2009. The study is motivated by traditional stock market studies of integration, which show that developed stock markets are highly integrated, while emerging markets may be segmented. How integrated these emerging stock markets are in a crisis period with respect to the EUROSTOXX50 stock index is an empirical question investigated in this study. While the results of this study demonstrate that the Baltic stock markets were apparently segmented before the crisis, they were highly integrated during the crisis. The results of the variance decomposition analysis show that a large proportion of the forecast variance of the Baltic stock markets can be explained by the EUROSTOXX50 during the crisis. The results from the quantile regressions demonstrate that during the crisis the returns of the lowest quantile were most sensitive to the EUROSTOXX50 stock index. All these results imply less diversification benefits during crises when investors would need them the most.     

基于Copula函数的国际原油价格与股票市场收益的相关性研究

针对国际原油价格与金砖五国股票市场收益之间的相关性问题,使用 AR(p)-GARCH(1,1)-Copula 模型进行检验。运用广义误差分布(GED)获取收益残差序列,对 WTI 原油价格和金砖五国股市收益之间的相关性进行实证分析。研究结果表明,国际原油价格与中国股市收益呈现微弱的相关关系,而与其他四国股市收益的相关关系较为明显。用时变 SJC Copula 模型刻画国际原油价格与金砖五国股票市场收益的相关性最为合适。     

Are REITs real estate? Evidence from international sector level data

The aim of this study is to examine whether securitized real estate returns reflect direct real estate returns or general stock market returns using international data for the U.S., U.K., and Australia. In contrast to previous research, which has generally relied on overall real estate market indices and neglected the potential long-term dynamics, our econometric evaluation is based on sector level data and caters for both the short-term and long-term dynamics of the assets as well as for the lack of leverage in the direct real estate indices. In addition to the real estate and stock market indices, the analysis includes a number of fundamental variables that are expected to influence real estate and stock returns significantly. We estimate vector error-correction models and investigate the forecast error variance decompositions and impulse responses of the assets. Both the variance decompositions and impulse responses suggest that the long-run REIT market performance is much more closely related to the direct real estate market than to the general stock market. Consequently, REITs and direct real estate should be relatively good substitutes in a long-horizon investment portfolio. The results are of relevance regarding the relationship between public and private markets in general, as the ‘duality’ of the real estate markets offers an opportunity to test whether and how closely securitized asset returns reflect the performance of underlying private assets. The study also includes implications concerning the recent financial crisis.     

Stock markets’ reaction to COVID-19: Cases or fatalities?

In this paper, we examine the stock markets’ response to the COVID-19 pandemic. Using daily COVID-19 confirmed cases and deaths and stock market returns data from 64 countries over the period January 22, 2020 to April 17, 2020, we find that stock markets responded negatively to the growth in COVID-19 confirmed cases. That is, stock market returns declined as the number of confirmed cases increased. We further find that stock markets reacted more proactively to the growth in number of confirmed cases as compared to the growth in number of deaths. Our analysis also suggests negative market reaction was strong during early days of confirmed cases and then between 40 and 60 days after the initial confirmed cases. Overall, our results suggest that stock markets quickly respond to COVID-19 pandemic and this response varies over time depending on the stage of outbreak.     

Irrational investor response to stock splits in an emerging market

Using the creation and collapse of the Cyprus stock market bubble as a backdrop, we document substantial positive abnormal returns around the announcement and execution of stock splits in Cyprus. Split-induced returns cannot be explained by variables proxying for conventional liquidity and signalling hypotheses for stock-split activity. Positive split-induced returns are largely reversed in the post-split months. Post-split stock underperformance is inversely related to, and thus appears to be a correction for, the significant market overreaction at split execution. We suggest an investor irrationality explanation for these results, arguing that stock splits were associated with the creation of the bubble due to the inability of investors to understand splits correctly. We conclude that educating investors in emerging markets to process information correctly will improve the efficiency of such markets.     

Evaluating the Forecast Accuracy of Emerging Market Stock Returns

This paper analyzes the forecast performance of emerging market stock returns using standard autoregressive moving average (ARMA) and more elaborated autoregressive conditional heteroskedasticity (ARCH) models. Our results indicate that the ARMA and ARCH specifications generally outperform random walk models. Models that allow for asymmetric shocks to volatility are better for in-sample estimation (threshold autoregressive conditional heteroskedasticity for daily returns and exponential generalized autoregressive conditional heteroskedasticity for longer periods), and ARMA models are better for out-of-sample forecasts. The results are valid using both U. S. dollar and domestic currencies. Overall, the forecast errors of each Latin American market can be explained by the forecasts of other Latin American markets and Asian markets. The forecast errors of each Asian market can be explained by the forecasts of other Asian markets, but not by Latin American markets. Our predictability results are economically significant and may be useful for portfolio managers to enter or leave the market.     

Spillover and Cojumps Between the U.S. and Chinese Stock Markets

There is an urgent need to understand the spillover and cojump effects between the U.S. and Chinese stock markets. The paper finds that since July 2005, the U.S. stock market has caused short-run spillover effects on returns on the Chinese stock market. More specifically, price changes in the United States can be used to predict both closing-to-opening and closing-to-closing returns on the Chinese stock market on the next day. However, there is no significant volatility spillover between the two markets. Both markets have shown stronger cojump behavior since the subprime crisis. The return relationships between the two stock markets are robust.     

UNLISTED TRADING PRIVILEGES,LIQUIDITY, AND STOCK RETURNS

In this study we examine the effect of dual trading through unlisted trading privileges (UTPs) on liquidity and stock returns. Stocks with UTPs trade in a different market structure than stocks listed and traded only on the AMEX and NYSE. Differences in market structure may affect stock returns through liquidity services provided by the competing markets. The sample comprises 852 AMEX and NYSE firms that began unlisted trading on the Philadelphia, Pacific, Midwest, or Cincinnati exchanges between 1984 and 1988. The results show significantly positive abnormal returns around the SEC's announcement of a regional exchange's filing for UTPs. The results also suggest that increased competition improves trading liquidity. Only stocks with low liquidity before UTPs announcements experience significantly improved liquidity and positive stock returns.     

我国沪深股市股票名称的“中国”效应

爱国热情是否会体现在股市上呢?本文从两个方面进行了分析研究。一方面,我们对比了我国沪深股市上股票名称中含有"中国"两字的股票("中国"股票)和不含"中国"两字的股票("非中国股票")的市场表现,发现"中国"股票不仅长期的持有期收益率高,而且上涨持续的时间更久。采用同样隶属于国务院的中央企业作为配对样本,结果仍然稳健。另一方面,我们研究了股票名称中的"中国"两字由更名而来的股票,发现在更名公告的当日和随后两日,更名公告会产生显著的异常收益率。在考虑市场因素和公司因素后,发现股票名称中的"中国"两字仍然对异常收益率构成显著的影响,我们认为这一异常影响来自投资者对"中国"两字的热爱和信任。