板块差异、上市效应与盈余质量研究——来自创业板和中小板的证据

本文以中小板与创业板近两年首发上市的公司为样本,研究公司首发上市与盈余质量之间的关系。研究发现,公司上市前一年盈余操纵的程度显著下降,但创业板公司盈余操纵程度大于中小板公司。虽然盈余操纵行为推高了发行价,但投资者的认购热情未受到影响,首日投资回报取决于投资者情绪,与盈利能力及成长性无关。首发上市时的盈余操纵程度随着第一大股东持股比例的增加而降低,但董事长兼总经理的现象导致盈余质量下降,而机构投资者和会计师事务所也未能显著提高盈余质量。创业板公司盈余质量整体上低于中小板公司,但规模大、成立时间长的公司盈余质量相对较高。     

Stock market volatility and equity returns: Evidence from a two-state Markov-switching model with regressors

This paper proposes a two-state Markov-switching model for stock market returns in which the state-dependent expected returns, their variance and associated regime-switching dynamics are allowed to respond to market information. More specifically, we apply this model to examine the explanatory and predictive power of price range and trading volume for return volatility. Our findings indicate that a negative relation between equity market returns and volatility prevails even after having controlled for the time-varying determinants of conditional volatility within each regime. We also find an asymmetry in the effect of price range on intra- and inter-regime return volatility. While price range has a stronger effect in the high volatility state, it appears to significantly affect only the transition probabilities when the stock market is in the low volatility state but not in the high volatility state. Finally, we provide evidence consistent with the ‘rebound’ model of asset returns proposed by Samuelson (1991), suggesting that long-horizon investors are expected to invest more in risky assets than short-horizon investors.     

Time-varying risk The case of the American computer industry

A bivariate GARCH-in-mean model for individual stock returns and the market portfolio is designed to model volatility and to test the conditional Capital Asset Pricing Model versus the conditional Residual Risk Model. We find that a univariate model of volatility for individual stock returns is misspecified. A joint modelling of the market return and the individual stock return shows that a major force driving the conditional variances of individual stocks is the history contained in the market return variance. We find that a conditional residual risk model, where the variance of the individual stock return is used to explain expected returns, is preferred to a conditional CAPM. We propose a partial ordering of securities according to their market risk using first and second order dominance criteria.     

Accounting Ratios and the Cross‐section of Expected Stock Returns

Under clean‐surplus accounting, the log return on a stock can be decomposed into a linear function of the contemporaneous log return on equity, the contemporaneous log dividend–price ratio (if the stock pays a dividend), and both the contemporaneous and lagged values of the log book‐to‐market equity ratio. This paper studies the implications of this decomposition for the cross‐section of conditional expected stock returns. The empirical analysis reveals that the log accounting ratios capture cross‐sectional variation in both the conditional mean and conditional variance of log stock returns, which is consistent with the decomposition. It also brings fresh insights to the relation between firm size (market equity) and conditional expected stock returns. The evidence indicates that the conditional median return increases with firm size, while the conditional return skewness decreases with firm size. Empirically, the skewness effect outweighs the median effect, leading to the well‐documented inverse relation between size and average returns. The results of out‐of‐sample tests suggest that investors could use the information provided by the observed values of the log accounting ratios to formulate more effective portfolio strategies.     

The impacts of regulation regime changes on ChiNext IPOs: Effects of 2013 and 2020 reforms on initial return,fair value and overreaction

The Chinese version of NASDAQ, ChiNext has gone through three time periods with two different regulation regimes (approval versus registration) and three sets of listing day trading restrictions (trading curbs, hard return caps, and no restrictions). We hypothesize that the initial return of an IPO contains the issuer's fair value proxied by the IPO's monthly return and the investors' overreaction proxied by its intramonth return. We separate the full sample into three non-overlapping periods based on different regulatory rules, apply the Stepwise technique to identify significant variables for the return measures, and use multivariate linear regressions to estimate the signs and magnitudes of the significant variables. We observe stark contrasts among the determinants of return measures under different regulation regimes. We find that IPO pricing is mainly demand-driven under the approval regime, but switches to value-driven under the registration regime. Our findings reveal a clear pattern of evolution in investors' behavior in response to the progression of regulations along three dimensions: 1) governing regulation regimes, 2) listing day trading restrictions, and 3) issuer profile. Our findings provide insights to the continued efforts in moving the Chinese IPO market towards a more market-oriented and transparent environment with higher pricing efficiency.     

Intraweek and intraday trade patterns and dynamics

This paper investigates informed traders' order-splitting strategies on different days of the week and times of the day for a sample of stocks traded on the Australian Stock Exchange. Based on cumulative price changes, we document that informed traders tend to use medium size trades. We find that informed investors concentrate their strategic trading on Mondays and particularly during the first trading hour. In addition, informed investors also use large size trades around market opening and closing, as well as on days other than Mondays and Fridays. These results are more pronounced for the large market capitalization stocks.     

私募股权资本与创业板企业上市前盈余管理

本文考察了私募股权资本对我国创业板企业上市前盈余管理活动的影响,对私募股权投资者进行了界定和区分,采用多种指标衡量盈余管理程度,用工具变量两阶段回归等方法控制自选择偏差。研究发现,根据持股时间不同划分的长、短期私募股权资本对企业上市前盈余管理行为影响的方向和程度均不相同,长期持股的PE机构显著降低了企业的盈余管理程度;相反,上市前一年内突击入股的PE机构显著增加了企业的盈余管理程度。这种不同PE机构对企业创业板上市前盈余管理行为的差异化影响,在创业板的一级市场和二级市场上已被投资者给予区分。本文进而提出了政策建议。     

There is a risk-return trade-off after all

This paper studies the intertemporal relation between the conditional mean and the conditional variance of the aggregate stock market return. We introduce a new estimator that forecasts monthly variance with past daily squared returns, the mixed data sampling (or MIDAS) approach. Using MIDAS, we find a significantly positive relation between risk and return in the stock market. This finding is robust in subsamples, to asymmetric specifications of the variance process and to controlling for variables associated with the business cycle. We compare the MIDAS results with tests of the intertemporal capital asset pricing model based on alternative conditional variance specifications and explain the conflicting results in the literature. Finally, we offer new insights about the dynamics of conditional variance.     

Cross-listing and subsequent delisting in foreign markets

Employing a sample of stocks cross-listed and subsequently delisted from foreign markets, we examine the consequences of delisting to investors in terms of price, risk, and liquidity. We also provide a direct comparison between the firm's performance after a foreign cross-listing and after its subsequent delisting. We find a positive cross-listing and negative delisting effect on stock price, both of which dissipate in the long run. No significant changes in the market risk are found for either event. Foreign cross-listing and delisting are associated with increasing and decreasing long term trading volume respectively. Further analysis reveals that firms delist in response to low host market return and low firm trading volume in the host market. The changes in liquidity and market risk from delisting relate those from cross-listing. Finally, our results show that the bonding hypothesis fails to explain the listing premium and the delisting loss.     

Corporate governance and incidences of listing suspension by the JSE Securities Exchange of South Africa: An empirical analysis

We examine the association between corporate governance structures and incidences of listing suspension from the JSE Securities Exchange of South Africa. Using a matched-pairs research design, we compare 81 firms suspended between 1999 and 2005 to an equal number of control firms matched in terms of time, size and industry. Employing a conditional logistic model, we find that the likelihood of suspension is higher in firms with a smaller proportion of non-executive directors, without an audit committee, and with greater block-share ownership and higher gearing (i.e. leverage). Further analysis splitting block-share ownership into institutional and non-institutional investors provides mixed results. While we find a positive association between suspension and non-institutional investors, we observe no association with institutional investors. No association is detected for board size, role duality, directors' share ownership, auditor quality and return on assets. Given the paucity of studies examining listing suspension from stock exchanges and corporate governance mechanisms, these findings contribute to the literature. Additionally, the dearth of research on corporate governance in developing countries suggests that our findings have important implications for policy makers in these countries as they endeavor to improve corporate governance.     

Variable Selection for Portfolio Choice

We study asset allocation when the conditional moments of returns are partly predictable. Rather than first model the return distribution and subsequently characterize the portfolio choice, we determine directly the dependence of the optimal portfolio weights on the predictive variables. We combine the predictors into a single index that best captures time variations in investment opportunities. This index helps investors determine which economic variables they should track and, more importantly, in what combination. We consider investors with both expected utility (mean variance and CRRA) and nonexpected utility (ambiguity aversion and prospect theory) objectives and characterize their market timing, horizon effects, and hedging demands.     

The intertemporal risk-Return relation,investor behavior,and technical trading profits: evidence from the G-7 countries

The intertemporal risk-return relation and investor behavior are both important pricing factors that jointly determine the expected market risk premium. Using the price adjustment process as a control variable, we find that the intertemporal risk-return relation is positive conditional on bad market news, but is non-positive conditional on good market news. This implies that good (bad) market news weakens (strengthens) the positive risk-return relation. The pattern in the distortion of the risk-return relation is consistent with short-term mispricing in which investors overvalue (undervalue) the stock market in reaction to good (bad) market news. We also show that ignoring the price adjustment process in the estimation of the risk-return relation leads to model misspecification and induces an upward (downward) bias in estimates of the relative risk aversion parameter conditional on good (bad) news. Our model of the asymmetric risk-return relation along with the price adjustment process is capable of generating the return dynamics that is attributable to technical trading profits. We suggest that the profitability of technical trading rules is not a violation of market efficiency, but a consequence of trading rules exploiting the asymmetric effect of price changes on the risk-return relation, along with the persistence property of price changes.     

The Relationships between Real Estate Price and Expected Financial Asset Risk and Return: Theory and Empirical Evidence

In pricing real estate with indifference pricing approach, market incompleteness is shown to significantly alter the conventional pricing relationships between real estate and financial asset. Specifically, we focus on the pricing implication of market comovement because comovement tends to be stronger in financial crisis when investors are especially sensitive to price declines. We find that real estate price increases with expected financial asset return but only in weak market comovement (i.e., a normal market environment) when investors enjoy diversification benefit. When market comovement is strong, real estate price strictly declines with expected financial asset return. More importantly, contrary to the conventional positive relationship from real option studies, real estate price generally declines with expected financial asset risk. With realistic market parameters, we show that there is a nonlinear relationship between real estate price and financial risk. When the market comovement is strong, real estate price only increases with financial asset risk when the risk is low but eventually declines with the risk when it becomes high. Our cross-country empirical results also show that the relationship between financial market risk and real estate price is non-monotonic, conditional on the degree of market comovement.     

Return spread and liquidity: Evidence from Hong Kong ADRs

Fifteen Chinese H-shares listed on the Stock Exchange of Hong Kong are cross listed as ADRs on the NYSE. We empirically determine the role of security specific liquidity associated with those ADRs and their underlying H-shares on return spreads, differences between the returns on ADRs and their corresponding H-shares after controlling for ADRs and H-shares excess market returns and their respective price inverses denoting conditional betas. We use three proxies for liquidity, trading volume, turnover, and illiquidity (Amihud, 2002) and find that only trading volume and turnover are consistent determinants of return spread for the majority of Chinese ADRs with primary listing in Hong Kong Stock Exchange (SEHK). We use a switching regression model and find that the model parameter estimates are not stationary and change, often drastically between pre and post 2000 and 2003. Further tests using Bai Perron indicate return spreads data as non-stationary with multiple regime changes during the sample period. Further the causes of non-stationarity seem to be largely security specific and not driven by broad market swings in either market.     

The intertemporal relationship between market return and variance: an Australian perspective

In this paper we investigate the intertemporal relationship between the market risk premium and its conditional variance in an Australian setting. Using a bivariate EGARCH‐M model combined with the dynamic conditional correlation (DCC) framework as proposed by Engle (2000), we find evidence of a positive relationship between the market risk premium and its variance and evidence of two distinct interest rate effects. Furthermore, while the bond market's own variance is not priced by investors, we find that the covariance between equity and bond markets is a significant risk factor that is priced in the market.     

The empirical risk–return relation: A factor analysis approach

Existing empirical literature on the risk–return relation uses relatively small amount of conditioning information to model the conditional mean and conditional volatility of excess stock market returns. We use dynamic factor analysis for large data sets, to summarize a large amount of economic information by few estimated factors, and find that three new factors—termed “volatility,” “risk premium,” and “real” factors—contain important information about one-quarter-ahead excess returns and volatility not contained in commonly used predictor variables. Our specifications predict 16–20% of the one-quarter-ahead variation in excess stock market returns, and exhibit stable and statistically significant out-of-sample forecasting power. We also find a positive conditional risk–return correlation.     

The interaction between opening call auctions and ongoing trade: Evidence from the NYSE

We investigate the impact that the opening batch has on trading for the remainder of the day and what impact the prior day's trading has on the subsequent day's open. Traders have an interest in these trading impacts as their trades may cluster around opening and closing time periods. We find that the larger the volume in the opening batches, the greater the volume across the day. We also find the prior day's volume being positively related to the subsequent day's opening volume. Combined, these results suggest a continuing pattern of trade volume rolling from one day to the next. Additionally, we find that the spread in the continuous market can be partially attributed to the price change in the opening batch. We also find evidence of opening trade price reversals. Combined with the absence of price reversals following the opening trade, we conclude that the opening process may be more efficient at handling information than the continuous market.     

信息不确定、坏消息与投资者交易行为

本文以2000年至2010年的A股上市公司违法违规事件为样本,分析该类事件中信息不确定性的影响,以及市场反应中的投资者交易行为。研究发现:上市公司市场价值在事件日呈显著下跌;然而,与直觉有些相悖的是,信息不确定程度与超额累积收益呈显著正相关,这意味着在坏消息到来时,不确定性反而提高了股票的市场价值;最后,通过对各类投资者在此类事件中的净买入情况分析,我们发现不同投资者的交易行为有明显差异。机构投资者在坏消息中采用了反向交易策略,并且知情交易促进机构投资者的买入。     

The submission of limit orders or market orders: The role of timing and information in the Reuters D2000-2 system

Recent work in the market microstructure literature suggests that the speed with which orders arrive in the market impacts traders' order submission decisions. In this study we use an asymmetric autoregressive conditional duration (ACD) model to empirically investigate the influence on the submission of limit and market orders of changes in the time between the past submissions of different types of orders, changes in the slope of the limit order book, and changes in price uncertainty. We find that the expected time between the arrivals of successive orders in the foreign exchange market depends on the previous type of order submitted and the slope on both sides of the order book. Price uncertainty (volatility) plays a secondary role after accounting for the impact of changes in the slope of the order book. Lastly, we find that there are fundamental changes in the level of information contained in the submission of orders at the opening and closing of markets.     

中国利率市场的价格发现——对国债现货、期货以及利率互换市场的研究

本文采用信息份额模型和基于向量自回归(VAR)模型的格兰杰因果检验,研究了国债现货、国债期货和利率互换三个市场之间的价格发现机制。信息份额模型表明,从整体来看利率互换相对于国债期货和国债现货都具有信息优势,而国债期货相对于国债现货具有信息优势。另外,国债期货的价格发现能力相对于另外两个市场都在随时间增强。格兰杰因果检验结果显示,利率互换在价格发现中单向引领国债期货以及国债现货,国债期货单向引领国债现货。所有结果一致表明, 利率互换和国债期货这两种利率衍生产品在引导中国利率市场价格发现中发挥了重要作用。