Financial integration and the price of world covariance risk: Large- vs. small-cap stocks

We investigate whether recent country-level evidence of global pricing is particular to large-cap stocks. Specifically, we examine cross-country return correlations and conduct asset pricing tests on three size-based stock portfolios for nine developed countries over the period from 1980 to 2004. We find that large-cap stocks realize significant comovements across countries, whereas small-cap stocks realize smaller average correlations (relative to both large-cap stocks and small-cap stocks across countries). More important, asset pricing tests suggest that while large-cap stocks are priced globally, global pricing is rejected for most small-cap stocks. Finally, the evidence indicates that financial integration deepened in recent years primarily for large-cap stocks. Overall, the results suggest that the global pricing pertains chiefly to large-cap stocks.     

Do large-cap exchange-traded funds perform better than their small-cap counterparts in extreme market conditions?

This study proposes a new threshold model that differentiates between the size and sign-dependent responses of large- and small-cap exchange-traded funds (ETFs) to changes in extreme market conditions. The asymmetric returns in extreme upsides, extreme downsides, and “in-between” markets are estimated using three sets of betas. Findings support the notion that small-cap ETFs in all seven countries fall more in extreme downturns than they rise in extreme upturns. By contrast, six out of nine large-cap ETFs climb up in upside more than they fall in downswing. Therefore, investors should be cautious when assigning excessive weights to small-cap ETFs in their portfolio.     

Leaning for the Tape: Evidence of Gaming Behavior in Equity Mutual Funds

We present evidence that fund managers inflate quarter-end portfolio prices with last-minute purchases of stocks already held. The magnitude of price inflation ranges from 0.5 percent per year for large-cap funds to well over 2 percent for small-cap funds. We find that the cross section of inflation matches the cross section of incentives from the flow/performance relation, that a surge of trading in the quarter's last minutes coincides with a surge in equity prices, and that the inflation is greatest for the stocks held by funds with the most incentive to inflate, controlling for the stocks' size and performance.     

Financial Integration of Large- and Small-Cap Stocks in Emerging Markets

This study examines the financial integration of large- and small-cap stocks in twenty-three emerging markets to determine their degree of market integration with the world market. The international asset pricing model cannot be rejected for most large-cap stock portfolios, but it is rejected for small-cap stock portfolios. The findings also demonstrate that super-large-cap stocks have the fewest pricing errors and their global financial integration has increased in recent years. In sum, the empirical results indicate that global market integration is primarily associated with the super-large-cap stocks of large emerging markets.     

Stock return predictability and model uncertainty

We use Bayesian model averaging to analyze the sample evidence on return predictability in the presence of model uncertainty. The analysis reveals in-sample and out-of-sample predictability, and shows that the out-of-sample performance of the Bayesian approach is superior to that of model selection criteria. We find that term and market premia are robust predictors. Moreover, small-cap value stocks appear more predictable than large-cap growth stocks. We also investigate the implications of model uncertainty from investment management perspectives. We show that model uncertainty is more important than estimation risk, and investors who discard model uncertainty face large utility losses.     

中国A股市场大交易量与收益率关系的研究

利用技术分析制定股票投资策略是投资者主要采用的方法之一,而对交易量与收益率两者之间关系的研究又是技术分析的基础。我们认为,大交易量能更好地预测未来股票的收益。本文通过对中国A股市场代表不同规模股票的指数实证研究发现,不同指数在大交易量形成后的检验期里反应是不同的。代表大盘股的指数存在明显的"大交易量溢价效应";而代表小盘股的指数几乎不存在这种效应。我们还进一步的发现,这种"大交易量溢价效应"只发生在指数上涨了10%-20%的情况下。最后,我们给出了相关的投资策略。     

Regulation and stock market quality: The impact of MiFID II provision on research unbundling

This paper investigates the effects produced by the unbundling of analyst research costs required by MiFID II on market quality, as measured by stock liquidity and price efficiency. We find that the payment of an explicit price for research is associated with a reduction in analyst coverage in the EU. Unexpectedly, the reduction is stronger for large-cap stocks. For mid- and large-cap stocks analyst coverage in the EU is still greater than in the US. The reduction in analyst coverage observed in the EU is part of a downward trend that initiated prior to MiFID II and contributes to close the gap between the two regions. We also find no change in the bid-ask spread for small-, mid- and large-cap stocks, and a slight increase for micro-cap stocks. We observe no significant change in price efficiency. Taken together our findings seem to suggest that there was an overproduction of research in Europe with the previous regulatory regime. However, the growth of passive management and index funds may also explain the observed decrease in coverage.     

Closed-end funds and sentiment risk

Irradional noise traders earn high returns for bearing risk that they themselves create. Diversifying across closed-end funds does little to reduce this risk, because discounts are correlated across funds. But diversification between closed-end funds and large-cap stocks does reduce this risk, especially when markets are not subject to major shocks: a combination of closed-end funds and large-cap stocks has lower risk than either one alone. To the extent that fund shares and large-cap stocks are partially segmented markets, large-cap stocks thus provide some protection against the sentiment risk created by noise traders. This paper estimates the amount of large-cap stocks needed in tax-deferred portfolios, under various amounts of market-wide risk, and ways of measuring it.     

投资者个体的羊群行为:分布及其程度——基于分割聚类的矩阵化方法

现有研究的一个重要缺陷是无法精确地描述交易者个体羊群行为的分布及其程度,本文依据LSV及其衍生模型的思路,提出了基于分割聚类的矩阵化改进模型,并针对我国机构投资者,使用该改进模型对我国开放式基金的羊群效应进行了检验,结果发现:机构投资者个体的羊群效应分布呈现尖峰左偏的非标准形态;机构投资者在交易大盘股时的羊群效应比较明显;市场整体的羊群效应震荡增加;机构投资者个体的羊群行为会增加其投资时的收益和风险。     

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.     

Is the Value Spread a Good Predictor of Stock Returns? UK Evidence

Abstract:  This paper explores the predictive ability of the value spread in the UK. I replicate the US analysis of Liu and Zhang (2007) using UK data. In addition, I extend their work by exploring the predictive ability of the book-to-market, market-to-book and value spread on other size and value investment strategies, namely: large-caps only; small-caps minus large-caps (SML); value stocks only; growth stocks only; value stocks minus growth stocks (VMG) and a market portfolio that includes all stocks. The results are consistent with Liu and Zhang (2007) on the value spread. The value spread shows no predictive power for portfolio returns. Therefore, I show that the predictive power of book-to-market and market-to-book spreads depend on the portfolio formation strategies and the relative proportion of small-cap, large-cap, value and growth stocks in the portfolio.     

Informational Efficiency: Which Institutions Matter?

I study the role of institutional investors to play in the relative informational efficiency of transaction prices, measured by departures from a random walk, using a sample of the constituent stocks of the Shanghai 180 composite index from 2004 to 2005. I find that greater informational efficiency is associated with larger institutional holdings. Meanwhile, this result is not driven by the variations in liquidity measures. In addition, the evidence also indicates that all institutions have a strong preference for mispriced stocks, firms with good corporate governance, and large-cap and profitable firms. If the potential endogeneity and outliers are considered, the findings of three-stage least squares and median regressions suggest that larger shareholdings by independent institutions, particularly by mutual funds and social security fund, lead to a more efficient market because of their fewer potential business connections with invested companies.     

The Reversal of the Monday Effect: New Evidence from US Equity Markets

This article re-examines the Monday effect in the US stock market from 1964–1999 using daily returns from three large-cap indexes and two small-cap indexes. In the period before 1987, Monday returns are significantly negative in all five US stock indexes, confirming previous empirical findings. In the post-1987 period, we uncover a significant reversal of the Monday effect in the large-cap indexes (NYSE, S&38;P500 and DJCOMP), since Monday returns are significantly positive. Furthermore, significant differences in the persistence and reversal of the Monday effect are found between large-cap and small-cap stock indexes.     

On the Out-of-Sample Importance of Skewness and Asymmetric Dependence for Asset Allocation

Recent studies in the empirical finance literature have reportedevidence of two types of asymmetries in the joint distributionof stock returns. The first is skewness in the distributionof individual stock returns. The second is an asymmetry in thedependence between stocks: stock returns appear to be more highlycorrelated during market downturns than during market upturns.In this article we examine the economic and statistical significanceof these asymmetries for asset allocation decisions in an out-of-samplesetting. We consider the problem of a constant relative riskaversion (CRRA) investor allocating wealth between the risk-freeasset, a small-cap portfolio, and a large-cap portfolio. Weuse models that can capture time-varying moments up to the fourthorder, and we use copula theory to construct models of the time-varyingdependence structure that allow for different dependence duringbear markets than bull markets. The importance of these twoasymmetries for asset allocation is assessed by comparing theperformance of a portfolio based on a normal distribution modelwith a portfolio based on a more flexible distribution model.For investors with no short-sales constraints, we find thatknowledge of higher moments and asymmetric dependence leadsto gains that are economically significant and statisticallysignificant in some cases. For short sales-constrained investorsthe gains are limited.     

Conditional performance, portfolio rebalancing, and momentum of small-cap mutual funds

To assess the performance of small-cap stocks net of transaction costs, we analyze 165 actively managed small-cap oriented portfolios. Our analysis addresses three areas of interest: (i) performance net of transaction costs, (ii) the magnitude of trading costs incurred when rebalancing an actively managed portfolio, and (iii) the potential for momentum strategy profits when investing in small-cap stocks.Using conditional estimation, we find that small-cap funds have earned a significantly positive abnormal return of about 2% per year in the period January 1986 to December 2000. We also estimate the cost of January rebalancing to be 0.4% of portfolio value, a value that is significant for over 20% of the portfolios under study.Finally, after trading frictions are taken into account, we find evidence that small-cap portfolios exhibit significant return patterns, similar in nature to momentum patterns initially documented in a frictionless setting by [J. Finance 48 (1993) 65; J. Finance 56 (2001) 699]. Our findings support recent behavioral models, which attempt to explain these patterns. Consistent with the findings of Jegadeesh and Titman, we find that past “winners” continue to outperform in the next 12 months, followed by a performance reversal.     

Predicting stock returns

This paper studies whether incorporating business cycle predictors benefits a real time optimizing investor who must allocate funds across 3,123 NYSE-AMEX stocks and cash. Realized returns are positive when adjusted by the Fama-French and momentum factors as well as by the size, book-to-market, and past return characteristics. The investor optimally holds small-cap, growth, and momentum stocks and loads less (more) heavily on momentum (small-cap) stocks during recessions. Returns on individual stocks are predictable out-of-sample due to alpha variation, whereas the equity premium predictability, the major focus of previous work, is questionable.     

Multiple duration analyses of dynamic limit order placement strategies and aggressiveness in a low-latency market environment

This study examines dynamic order placement strategies in a low-latency environment together with limit orders' aggressiveness by a new approach which utilises survival analysis with a multiple-spell duration model. Two samples are considered, including the period immediately followed Australian Securities Exchange (ASX)’s migration to Integrated Trading System (ITS) and the period subsequent to the launch of ASX Trade. We find the evidence supporting both the ‘cost of immediacy hypothesis' and the ‘chasing hypothesis' as in Hasbrouck and Saar (2009). Furthermore, several distinctions in the results are found between the samples of ITS period and ASX Trade period as well as between the samples of small-cap stocks and large-cap stocks. The findings of this study are beneficial not only for high-frequency traders in forming dynamic order placement strategies in a low-latency stock market environment, but also for market regulators in helping their attempt to improve regulations for stock exchanges.     

Monetary policy and portfolio rebalancing: Evidence from European equity mutual funds

In this study, we provide empirical evidence on the portfolio rebalancing of European equity mutual funds following both conventional (CMP) and unconventional monetary policies (UMP). We use 1772 equity mutual funds’ portfolio holdings over the period 2002Q4–2016Q4. This level of granularity allows us to characterise the funds’ asset allocation in different portfolio dimensions: the size, style, currency, and domicile of the stocks, and managers’ preferred investment strategies. Using a panel fixed effect estimator, our results support the existence of portfolio rebalancing across equity categories following UMP. European equity mutual funds’ assets are, on average, reallocated towards mid-cap, and core stocks and developing economies, and shifted away from small-cap and value stocks and home as well as developed countries. Furthermore, mutual funds seem to concentrate on their preferred and historical investment strategies. These two results suggest that managers are more willing to invest in safer and familiar stocks following UMP announcements thereby decreasing the risk of asymmetry of information. We finally show that the funds size, returns volatility and expense ratio affect the strength of the rebalancing.     

Equity Fund Performance Persistence with Investment Style: Evidence from Korea

Using a comprehensive database on equity funds in Korea, we investigate the performance and performance persistence with investment style employing the Fama and French three-factor model and the Carhart four-factor model. The paper finds that most investment styles in Korea noticeably outperform the passive benchmarks. In addition, positive performance persistence is observed among funds investing in large-cap stocks and stocks of high past performance. Finally, outperformance and positive performance persistence of equity funds are still present in various ranking and postranking horizons. These empirical findings are in sharp contrast with results from earlier studies on markets in developed countries, such as the United States.     

Retail Financial Innovation and Stock Market Dynamics: The Case of Target Date Funds

Target date funds (TDFs) are designed to provide unsophisticated or inattentive investors with age-appropriate exposures to different asset classes like stocks and bonds. The rise of TDFs has moved a significant share of retirement investors into macrocontrarian strategies that sell stocks after relatively good stock market performance. This rebalancing drives contrarian flows across equity mutual funds held by TDFs, stabilizing their funding, and reduces stock returns for stocks disproportionately held by these funds when stock market returns are relatively high. Continued growth in TDFs and similar investment products may dampen stock market volatility and increase the transmission of shocks across asset classes.