EXCESS RETURNS OF INDEX REPLACEMENT STOCKS: EVIDENCE OF LIQUIDITY AND SUBSTITUTABILITY

Excess returns of S&P index replacement stocks are attributed to price pressures and imperfect substitutes in previous research. However, parameter estimates are biased by the use of pre-announcement returns; replacements are characterized by rising stock prices. Using a future estimation period to avoid this bias, we find excess returns do not reverse. Further, we find no relation between excess returns and the amount of stock closely held or the size of index funds. The evidence supports efficient market assumptions: the stock market is liquid and stocks are close substitutes.     

资本市场国际影响力提升效应研究——来自A股纳入明晟(MSCI)新兴市场指数的证据

2018年5月15日,首批纳入明晟(MSCI)新兴市场指数的A股股票名单正式公布。我们发现,被纳入MSCI的股票(标的股票)在公告日前后有显著为正的累计超额收益。相较于主要特征相似的匹配股票,标的股票纳入MSCI后的分析师评级有显著提升。进一步研究表明,在公告日前后融资(融券)交易量显著上升(下降),而换手率没有明显变化,并且净融资交易与公告效应显著正相关。本文的发现表明,A股纳入MSCI这一事件具有明显的信息含量,传递了有关企业前景的正面信息,并促使本地市场聪明投资者进行更活跃的交易,这对促进价格发现、促成价值投资具有一定的推动作用。     

New evidence on the price and liquidity effects of the FTSE 100 index revisions

We study the price and liquidity effects following the FTSE 100 index revisions. We employ the standard GARCH(1,1) model to allow the residual variance of the single index model (SIM) to vary systematically over time and use a Kalman filter approach to model SIM coefficients as a random walk process. We show that the observed price effect depends on the abnormal return estimation methods. Specifically, the OLS-based abnormal returns indicate that the price effect associated with the index revision is temporary, whereas both SIM with random coefficients and GARCH(1,1) model suggest that both additions and deletions experience permanent price change. Added (removed) stocks exhibit permanent (temporary) change in trading volume and bid-ask spread. The analysis of the spread components suggests that the permanent change associated with additions is a result of non-information-related liquidity. We interpret the permanent price effect of additions and deletions combined with the permanent (temporary) shift in liquidity of added (removed) stocks as evidence in favour of the imperfect substitution hypothesis with some non-information-related liquidity effects in the case of additions.     

The Informational Efficiency of the Equity Market As Compared to the Syndicated Bank Loan Market

The loan market is a hybrid between a public and a private market, comprised of financial institutions with access to private information about borrowing firms. We test whether this is reflected in informationally efficient price formation in the loan market vis-a-vis the equity markets, and reject this private information hypothesis. We also reject a liquidity hypothesis which suggests that equity markets always lead loan markets, despite bank lenders' access to private information, because of greater liquidity in equity markets. We further test, and reject, an asymmetric price reaction hypothesis that states that loan returns are more sensitive to negative information whereas equity returns respond symmetrically to both positive and negative information. We find evidence most consistent with an integrated markets hypothesis that suggests that both the equity and syndicated bank loan markets are highly integrated such that information flows freely across markets. This is particularly true when the equity market makers are also loan syndicate members.      

S&P 500 trading strategies and stock betas

This paper shows that S&P 500 stock betas are overstatedand the non-S&P 500 stock betas are understated becauseof liquidity price effects caused by the S&P 500 tradingstrategies. The daily and weekly betas of stocks added to theS&P 500 index during 1985-1989 increase, on average, by0.211 and 0.130. The difference between monthly betas of otherwisesimilar S&P 500 and non-S&P 500 stocks also equals 0.125during this period. Some of these increases can be explainedby the reduced nonsynchroneity of S&P 500 stock prices,but the remaining increases are explained by the price pressureor excess volatility caused by the S&P 500 trading strategies.I estimate that the price pressures account for 8.5 percentof the total variance of daily returns of a value-weighted portfolioof NYSE/AMEX stocks. The negative own autocorrelations in S&P500 index returns and the negative cross autocorrelations betweenS&P 500 stock returns provide further evidence consistentwith the price pressure hypothesis.     

Do Demand Curves for Small Stocks Slope Down?

Stocks added to the S&P 500 generally experience positive abnormal returns following the announcement. Several competing explanations exist for this reaction, but small sample sizes and other issues make it difficult to distinguish among them. We examine this subject using the small‐cap Russell 2000 index, which has several advantages over the S&P 500 in this context. Our primary finding is that stocks added to or deleted from the Russell 2000 experience significant changes in stock price and trading volume, but the effect is transitory. The results support the price pressure hypothesis.     

Stock returns and trading at the close

This paper analyzes stock returns at the close across the stocks of the Russell 1000 using (a) Transaction-level data for the period June 1997–July 1998, and (b) The complete record of all market-on-close (MOC) order imbalance indications. The last 5 min of the trading day explains a disproportionate fraction of the variation in daily returns, consistent with the hypothesis that institutional trading interest induces a common component to stock returns at the end of the day. This phenomenon reflects a higher demand for immediacy in the closing period. We find systematic return reversals following order imbalance publications consistent with temporary price pressure related to liquidity trading.     

Speculate against speculative demand

Measuring individual investors' speculative demand for stocks using the Google search volume index (hereafter “SVI”) on penny stocks, we examine how it relates to the return dynamics of U.S. stock indices. Speculative demand leads to a short-term return reversal. A simple trading strategy that sells a stock index when SVI is high and buys it otherwise generates annual excess returns of up to 20% over the buy-and-hold strategy. Applying the trading strategy to the corresponding ETFs and index futures yields similar results. Transaction costs, liquidity risk and strong time variation of the excess returns can potentially limit the exploitation of arbitrage opportunities.     

On the Stability of the Cross‐Section of Expected Stock Returns in the Cross‐Section: Understanding the Curious Role of Share Turnover

In this paper, we shed further light on cross‐sectional predictors of stock return performance. Specifically, we explore whether the cross‐section of expected stock returns is robust within stock groups sorted by past monthly return. We find that the book/market and momentum effects are remarkably robust to sorting on past returns. However, share turnover is negatively related to future returns for stocks with abnormally low stock price performance in the recent past, but postively related to returns for well‐performing stocks. This casts doubt on the use of turnover as a liquidity proxy, but is consistent with turnover being a proxy for momentum trading which pushes prices in the direction of past price movements. Our results are robust to both NYSE/AMEX and Nasdaq stocks, and also robust to stratifying the sample by time period.     

Individual Investor Trading and Stock Returns

This paper investigates the dynamic relation between net individual investor trading and short‐horizon returns for a large cross‐section of NYSE stocks. The evidence indicates that individuals tend to buy stocks following declines in the previous month and sell following price increases. We document positive excess returns in the month following intense buying by individuals and negative excess returns after individuals sell, which we show is distinct from the previously shown past return or volume effects. The patterns we document are consistent with the notion that risk‐averse individuals provide liquidity to meet institutional demand for immediacy.     

Strategic trading by index funds and liquidity provision around S&P 500 index additions

We examine the trades of index funds and other institutions around S&P 500 index additions. We find index funds begin rebalancing their portfolios with the announcement of composition changes and do not fully establish their positions until weeks after the effective date. Trading away from the effective date is more prevalent for stocks with lower levels of liquidity and among large index funds, which is consistent with index funds accepting higher tracking error in order to reduce the price impact of their trades. Small and mid-cap funds provide liquidity to index funds around additions, and added stocks with a greater proportion of these natural liquidity providers experience lower inclusion returns.     

Small-cap equity mutual fund managers as liquidity providers

This paper examines the relation between the performance of small-cap equity mutual funds and the liquidity characteristics of their asset holdings. We study the trading behavior of fund managers and show that on average, they tend to buy less liquid stocks and sell more liquid stocks. We introduce the notion of net “liquidity creation” by fund managers and examine its role in explaining the cross section of small-cap equity mutual fund returns. Our empirical results show that on average, small-cap mutual fund managers are able to earn an additional 1.5% return per year as compensation for providing such liquidity services to the market.     

Does short selling improve stock price efficiency and liquidity? Evidence from a natural experiment in China

China introduced short selling for designated stocks in March 2010. Using this important policy change as a natural experiment, we examine the effect of short selling on stock price efficiency and liquidity. We show that the introduction of short selling significantly improves price efficiency, as measured by the differences in individual stock responses to market returns and the delay in price adjustments. Short selling also enhances stock liquidity, as measured by bid-ask spread and Amihud [2002. ‘Illiquidity and Stock Returns: Cross-section and Time-series Effects.’ Journal of Financial Markets 5: 31–56] illiquidity measure; and reduces stock volatility. Overall, our results suggest that short selling helps to stabilize asset prices, provides additional liquidity and improves market quality, even in an emerging economy with a less developed stock market than that in the US and Europe.     

The liquidity effects of revisions to the S&P 500 index: an empirical analysis

We study liquidity effects following S&P 500 index revisions. Using a recent sample of S&P 500 additions, we find a sustained increase in the liquidity of the added stocks. Further, the improvement in the liquidity of added stocks is due primarily to a decrease in the direct cost of transacting and a smaller decline in the asymmetric information component. Finally, the event period cumulative abnormal returns for additions are significantly associated with the decrease in the effective spread, particularly the decline in the direct cost of transacting. In contrast, the liquidity of deleted stocks declines over the three months following deletion.     

隐性杠杆约束、流动性风险和投资者情绪

本文以2003—2019年间开放式主动管理型的股票型和偏股型基金为样本,以持仓占比为权重估算基金投组中A股的总市场风险暴露,检验结果表明,该序列上升反映了基金面临的隐性杠杆约束收紧,刻画了市场的弱流动性。内在逻辑在于,流动性收紧时,投资者难以通过融资直接增加杠杆,更倾向于重仓持有高市场风险头寸的股票而间接实现杠杆。本文发现隐性杠杆约束所刻画的风险在股票或基金收益截面上的无条件定价基本失效,而条件定价则依赖于低市场情绪与弱流动性。分解基金持股的敞口,进一步发现,因中小盘基金在流动性收紧时具有更强的流动性偏好,其持股的市场风险头寸能够更敏锐地捕捉到弱流动性风险。     

Local investors,price discovery,and market efficiency

This study examines the effect of locally informed investors on market efficiency and stock prices using large power outages, which are exogenous events that constrain trading. Turnover in stocks headquartered in an outage area with 0.5% of U.S. electrical customers drops by 3–7% on the first full day of the outage, and bid–ask spreads narrow by 2.5%. Firm-specific price volatility is 2.3% lower on blackout dates. This effect is larger for smaller, lesser-known stocks and in higher income areas. Consistent with a valuation discount and higher expected returns for stocks with more informed traders, firms with a one-standard-deviation higher local trading propensity have market-to-book values that are 5% lower, Tobin's Q that is 6% lower, annualized four-factor alphas that are 1.2% higher, and average spreads that are 6.5% higher. Together, the evidence suggests that informed investors contribute disproportionately to both liquidity and price discovery, and that these contributions are reflected in valuations and expected returns.     

Systematic liquidity risk and stock price reaction to shocks

This study examines the relationship between systematic liquidity risk and stock price reaction to large 1‐day price changes (or shocks). We base our analysis on a yearly updated constituents list of the FTSE All share index. Our overall results are consistent with the price continuation hypothesis, which suggests that positive (negative) shocks will be followed by positive (negative) abnormal returns. However, further analysis indicates that stocks with low systematic liquidity risk react efficiently to both positive and negative shocks, whereas stocks with high systematic liquidity risk underreact to both positive and negative shocks. Our results are valid irrespective of various robustness tests such as size of the shock, size of the firm, month‐of‐the‐year and day‐of‐the‐week effects. We conclude that trading on price patterns following shocks may not be profitable, as it involves taking substantial liquidity exposure.     

A note on trading mechanism and securities’ value: The analysis of rejects from continuous trade

We examine 97 stocks that moved from continuous trade back to single daily auctions. The response to exit from continuous trade is almost a mirror image of the entry response documented in Amihud et al., 1997 (Amihud, Y., Mendelson, H., Lauterbach, B., 1997. Journal of Financial Economics 45, 365–390). Upon exiting continuous trade, stock liquidity, price accuracy, and value drop. An exception is, however, identified. Ten stocks that were omitted from continuous trade within three months of their addition have negative excess returns upon entry into continuous trade and positive excess returns upon exit. These immediate rejects had relatively low volumes before entering continuous trade, which suggests that for thinly traded stocks simple unassisted continuous trade may not be optimal.     

Lost in translation: Delayed ex-dividend price adjustments of Hong Kong ADRs

Previous research documents that Hong Kong stocks have a full ex-dividend price adjustment consistent with dividends and capital gains being tax free. We examine ex-dividend price behavior of Hong Kong ADRs to assess the impact of differing tax environments in US and Hong Kong. These ADRs typically go ex-dividend before their underlying stock. They experience significant abnormal returns of 1.16% on their ex-day; the average ex-day price drop is only 30% of the dividend. However, ADR prices drop when the underlying stock goes ex-dividend subsequently. The cumulative ADR price drop is equal to the dividend. Thus, the ADR ex-dividend adjustment resembles that of the underlying stock, consistent with home country tax laws governing ADR price behavior. Neither liquidity nor transaction costs can explain the anomalous delayed ex-dividend adjustment of ADRs.     

Is liquidity the missing link?

Durand et al. (2006a ) argue that the Australian market is both internationally integrated and domestically segmented. They find that the US‐based three‐factor model captures returns of the largest stocks in Australia (evidence of international integration), but that it is unable to account for the returns of the smallest stocks (evidence of domestic segmentation). This study resolves the puzzle left by Durand et al. (2006a) . Incorporating a liquidity factor provides the missing link in their analysis: it results in a model that permits both the international integration of the largest stocks and the model can account for the returns of the smallest stocks. Our analysis highlights the important role of liquidity in Australian asset pricing.