The use of accounting information for the valuation of dual-class shares listed on China's stock markets

This study examines whether accounting data are useful in helping explain the market value of listed firms in China. In particular, we focus our investigation on companies that have issued dual-class shares sold to domestic investors (A-shares) and foreigners (B-shares). Domestic accounting standards (DAS) are used for the financial statements of A-shares while international accounting standards (IAS) are used for B-shares. Our results show that IAS earnings information is incorporated in the prices and returns of B-shares. In contrast, A-share investors appear to place most weight on DAS earnings and only recently has there been an association with IAS information. Book values are value relevant for B-share prices but not for A-share prices. Sensitivity tests show that accounting information is more likely to be impounded in share prices and returns for firms with high individual (i.e. non-government) share ownership. Based on our results, we argue that China's move towards the adoption of IAS will be useful for A-share investors, especially in light of the country's recent accession to the WTO and the consequent opening-up of the economy.     

Further evidence on the efficiency of the Chinese stock markets: A note

This paper examines the efficiency of the Chinese A-share and B-share markets following the deregulation of the B-share market which widened ownership to include domestic investors. Applying parametric and non-parametric variance ratio tests to the daily data of 370 shares over 1996–2005, the paper finds that A-shares are more efficient than B-shares, although the efficiency of both markets has improved following the regulatory change. Overall, the results suggest that the Chinese stock markets are characterised by information asymmetry, although the timely access to high quality information that domestic investors enjoy has improved the efficiency of the B-share market.     

Stock and Bond Liquidity and its Effect on Prices and Financial Policies

An asset is liquid if it can be traded at the prevailing market price quickly and at low cost. We show that in addition to risk, liquidity affects asset prices and returns. Theories of asset pricing suggest that the expected return of an asset is increasing in its risk, because risk-averse investors require compensation for bearing more risk. Because investors are also averse to the costs of illiquidity and want to be compensated for bearing them, asset returns are increasing in illiquidity. Thus, asset prices should depend on two asset characteristics: risk and liquidity. This paper surveys research on the effects of liquidity on asset prices and returns, showing that liquidity is an important factor in capital asset pricing.     

The informativeness of domestic and foreign investors’ stock trades: Evidence from the perfectly segmented Chinese market

This paper uses the perfect market segmentation setting in China's stock market to compare the information content of the stock trades of domestic and foreign investors. We study 76 firms that issue both A-shares (for domestic investors) and B-shares (for foreign investors) and compare the price discovery role of the two segmented markets in China. Before Feb 19, 2001, the A-share market led the B-share market in price discovery, as the signed volume and quote revision of the A-share market had strong predictive ability for B-share quote returns, but not vice versa. After Feb 19, 2001, because some domestic investors were allowed to invest in the B-share market, we find evidence for a reverse causality from the B-share to the A-share market. Nevertheless, the [Hasbrouck (1995). One security, many markets: determining the contributions to price discovery, Journal of Finance 50, 1175–1199.] information share analysis reveals that A-shares continue to dominate the price discovery process.     

Value relevance of international accounting standards harmonization: Evidence from A- and B-share markets in China

Applying both the price-levels model and the lagged-price-deflated returns model, we investigated the incremental value relevance of the reconciliation of accounts from the Chinese Accounting Standards (CAS) to the International Accounting Standards (IAS) by those Chinese listed companies that have simultaneously issued A-shares and B-shares. In addition, we examined the usefulness of accounting numbers (earnings and book values) and their value relevance to the A- and B-share markets in China. The study finds that earnings and book values of owners’ equity determined under CAS are more relevant accounting information for the purpose of determining the prices of A- and B-shares. The CAS-based earnings changes were reflected in stock returns in the B-share market, while the CAS-based earnings were closely associated with stock returns in the A-share market. However, the study found that the reconciliation of earnings and book values from CAS to IAS basis is partially value-relevant, mainly to stock prices in the B-share market, while the earnings reconciliation is generally not value-added to stock returns in either the A- or the B-share market. The study results suggest that accounting numbers based on domestic accounting standards, in contrast to IAS, are more value-relevant in the Chinese stock market at present.     

Liquidity and asset pricing: Evidence from the Hong Kong stock market

This study investigates the role of liquidity in pricing stock returns in the Hong Kong stock market. Our results show that liquidity is an important factor for pricing returns in Hong Kong after taking well-documented asset pricing factors into consideration. The results are robust to adding portfolio residuals and higher moment factor in the factor models. The results are also robust to seasonality, and conditional-market tests. We also compare alternative factor models and find that the liquidity four-factor model (market excess return, size, book-to-market ratio, and liquidity) is the best model to explain stock returns in the Hong Kong stock market, while the momentum factor is not found to be priced.     

上市公司综合盈利水平与股票收益

本文基于2000-2017年上市公司的财务及股票交易数据,研究了上市公司综合盈利水平与股票收益之间的关系。我们使用目前资产定价文献中较新的偏最小二乘法和组合预测法,从12个衡量公司盈利能力的指标中提取了一个测度上市公司综合盈利水平的指标。研究结果显示,上市公司综合盈利水平能够显著预测未来股票收益。使用单因子偏最小二乘法、取12个月斜率的平均值构造的综合盈利水平最有效,以其构建的多空对冲投资组合能产生15%的年平均收益,夏普比率达到0.75。与此对应,组合预测法提取的上市公司综合盈利水平的预测能力稍低,但依然显著。在控制了其他公司特征变量后,综合盈利水平对于股票收益的解释能力依然稳健。本文还从经济机制的角度出发,探讨了综合盈利水平对收益的预测来源。我们发现,上市公司综合盈利水平与股票预期回报的正向关系在投资摩擦更低的组中更高,而在错误定价程度更高的组通常更低。这些结果支持了基于投资摩擦的Q理论,而与行为金融的错误定价理论相悖。     

Options Trading and the CAPM

This article studies equilibrium asset pricing when agents facenonnegative wealth constraints. In the presence of these constraintsit is shown that options on the market portfolio are nonredundantsecurities and the economy's pricing kernel is a function ofboth the market portfolio and the nonredundant options. Thisimplies that the options should be useful for explaining riskyasset returns. To test the theory, a model is derived in whichthe expected excess return on any risky asset is linearly related(via a collection of betas) to the expected excess return onthe market portfolio and to the expected excess returns on thenonredundant options. The empirical results indicate that thereturns on traded index options are relevant for explainingthe returns on risky asset portfolios.     

劳动杠杆的定价效力:来自中国A股市场的证据

本文选取中国沪深A股2002年至2018年的季度数据,从公司层面考察了劳动杠杆(由劳动力成本粘性特征导致的企业利润变化率大于产出变化率的经济现象,可理解为不考虑固定成本时经营杠杆的特殊表现形式)对股票截面收益率的定价效力。结果发现:(1)劳动杠杆对截面收益率具有显著负向影响,具体表现为高劳动杠杆公司的收益率低于低劳动杠杆公司的收益率;(2)该影响在控制了公司特征后依然显著存在;(3)该影响在不同经济周期下表现不同:在经济下行期,负向定价效力更为明显。进一步地,本文通过生产率冲击和工资冲击这两个风险来源探究了劳动杠杆的作用机制。结果表明,劳动杠杆一方面通过生产率冲击产生显著正向影响,另一方面通过工资冲击产生显著负向影响。但后者的影响程度显著强于前者,两者的相对重要性取决于上市公司的技术水平。相关结果能够为公司应对劳动力成本上升、理解劳动杠杆的定价机制及相关投资策略的制定和风险管理等提供经验支持。     

A note on price limit performance: The case of illiquid stocks

In the Chinese stock markets, there are A-shares and B-shares. Both share-types have identical cash flow rights but different ownership structures (i.e., A-shares are owned by local Chinese citizens and B-shares are owned primarily by foreigners), causing B-shares to be less liquid relative to A-shares. However, even though B-shares have much wider bid—ask spreads than A-shares, both share-types are subject to the same 10% daily price limit regulation. As such, B-shares, simply due to their wider spreads, may be more inclined than A-shares to hit price limits. Our empirical results support this contention. The findings have policy implications. First, given wide spreads for illiquid stocks, exchanges may consider using midpoint prices (between bid and ask prices) to establish price limit ranges for illiquid stocks. In addition, and perhaps more importantly, exchanges may consider using wider price limits for less liquid classes of stocks.     

Is beta still alive? Conclusive evidence from the Swiss stock market

Recent evidence from Fama and French (1992, 1996) and others shows that betas and returns are not related empirically. They interpret this as evidence against the validity of the capital asset pricing model and conclude that the beta is not a good measure of risk. This paper claims that usual tests do not leave much opportunity for beta to appear as a useful variable capable of explaining returns, because tests are often performed in periods where the average realized market excess return is not significantly different from zero. In order to assess the usefulness of beta, an alternative approach that dissociates results obtained in periods where the realized market excess is positive from those where it is negative is proposed. These new tests are then applied to a representative sample of the Swiss stock market over the period 1983–1991. The different results unambiguously support the fact that beta is a good measure of risk, because beta is strongly related to the cross-section of realized returns. These results also confirm that there are no arbitrage opportunities on this market.     

系统性定价偏误:中国A股盈余公告后的价格漂移研究

行为金融学的研究表明,投资者情绪引起的定价偏误在各支股票之间具有相关性,从而构成市场上的系统性定价偏误。基于2003年6月至2009年6月中国A股月度交易数据,本文考察了系统性定价偏误与盈余公告后漂移(PEAD)之间的关系。研究结果显示,中国股票市场上的PEAD现象可能由系统性定价偏误引致,因此,将捕捉系统性定价偏误的偏误定价因子引入定价模型能够提升模型对于PEAD的解释力。经过对定价模型调整,季度盈余公告后6个月买人持有异常收益在经济及统计意义上不显著。这一方面表明中国股票市场上存在由投资者情绪造成的系统性定价偏误,另一方面也为盈余公告后漂移的产生原因提供了新的解释。     

Heterogeneity,convergence, and autocorrelations

This paper is a contribution to the literature on the explanatory power and calibration of heterogeneous asset pricing models. We set out a new stochastic market-fraction asset pricing model of fundamentalists and trend followers under a market maker. Our model explains key features of financial market behaviour such as market dominance, convergence to the fundamental price and under- and over-reaction. We use the dynamics of the underlying deterministic system to characterize these features and statistical properties, including convergence of the limiting distribution and autocorrelation structure. We confirm these properties using Monte Carlo simulations.     

Is U.S. economic policy uncertainty priced in China's A-shares market? Evidence from market,industry, and individual stocks

This paper is motivated by Bali, Brown, and Tang (2017) who find U.S. economic policy uncertainty (EPU) is priced in the cross-section of U.S. stock returns, and uses weekly data from March 2006 to April 2016 to study whether shocks in U.S. EPU also influence prices of China's A-shares from a market, industry, and individual stock perspective. Our methodology relies on an ARMA (1,1) model to extract shocks in the U.S. EPU series and a GARCH (1,1) model to examine how returns of China's A-shares respond to these shocks after controlling for business conditions proxied by term and credit spread in China. Generally, we find that shocks in U.S. EPU significantly and negatively explain returns of Chinese A-shares with a lag of one week. In addition, the market index containing small and growth stocks is more sensitive to shocks in U.S. EPU than the index containing big and value stocks. Furthermore, we find that firms in manufacturing, information technology, and media industries in China are more sensitive to shocks in U.S. EPU, while firms in agriculture and real estate industries respond less to shocks in U.S. EPU. Finally, China's A-shares which decline more in response to shocks in U.S. EPU have higher returns, smaller market capitalization, weaker operating profitability, higher asset growth, and better past year's cumulative returns. Overall, our findings show that investors in the Chinese A-shares market require a premium to hold stocks that are sensitive to shocks in U.S. economic policy uncertainty.     

Empirical test of the efficiency of the UK covered warrants market: Stochastic dominance and likelihood ratio test approach

This paper represents the first attempt to apply a stochastic dominance (SD) approach to examine the efficiency of the UK covered warrants market. Our empirical analyses reveal that neither covered warrants nor their underlying shares stochastically dominate the other, indicating the nonexistence of potential arbitrage gains in either wealth or utility, which implies market efficiency. To complement the SD results, we also employ a likelihood ratio (LR) test to examine information efficiency. A bootstrap methodology is developed to correct the size distortion of the LR test. Our findings show that UK covered warrant returns efficiently reflect the return information of the underlying shares.     

Does Post-Earnings-Announcement Drift in Stock Prices Reflect A Market Inefficiency? A Stochastic Dominance Approach

This paper uses a stochastic dominance approach to test for market efficiency following earnings announcements. We find that the stocks that recently announced good earnings news stochastically dominate those that recently announced bad news. The results cast serious doubt on any belief that asset pricing model misspecifications might explain post-earnings-announcement drift.     

Constructing Asset Pricing Models With Specific Factor Loadings

We demonstrate how one can build pricing formulae in which factors other than beta may be viewed as determinants of asset returns. This is important conceptually as it demonstrates how the additional factors can compensate for a market portfolio proxy that is mis‐specified, and also shows how such a pricing model can be specified ex ante. The procedure is implemented by first selecting an ‘orthogonal’ portfolio which falls on the mean‐variance efficient frontier computed from the empirical average returns, variances and covariances on the equity securities of a large sample of firms. One then determines the inefficient index portfolio which leads to a vector of betas that when multiplied by the average return on the orthogonal portfolio, and which when subtracted from the vector of average returns for the firms comprising the sample, yields an error vector that is equal to the vector of numerical values for the variables that are to form the basis of the asset pricing formula. There will then be a perfect linear relationship between the vector of average returns for the firms comprising the sample, the vector of betas based on the inefficient index portfolio and such other factors that are deemed to be important in the asset pricing process. We illustrate computational procedures using a numerical example based on the quality of information contained in published corporate financial statements.     

Asset pricing with liquidity risk

This paper solves explicitly a simple equilibrium model with liquidity risk. In our liquidity-adjusted capital asset pricing model, a security's required return depends on its expected liquidity as well as on the covariances of its own return and liquidity with the market return and liquidity. In addition, a persistent negative shock to a security's liquidity results in low contemporaneous returns and high predicted future returns. The model provides a unified framework for understanding the various channels through which liquidity risk may affect asset prices. Our empirical results shed light on the total and relative economic significance of these channels and provide evidence of flight to liquidity.     

Does herding behavior exist in Chinese stock markets?

This paper examines the presence of herd formation in Chinese markets using both individual firm- and sector-level data. We analyze the behavior of return dispersions during periods of unusually large upward and downward changes in the market index. We also distinguish between the Shanghai and Shenzhen stock exchanges at the sector-level. Our findings indicate that herd formation does not exist in Chinese markets. We find that equity return dispersions are significantly higher during periods of large changes in the aggregate market index. However, comparing return dispersions for upside and downside movements of the market, we observe that return dispersions during extreme downside movements of the market are much lower than those for upside movements, indicating that stock returns behave more similarly during down markets. The findings support rational asset pricing models and market efficiency. Policy implications of the results for policymakers are discussed.     

The Post-Issue Market Performance of Initial Public Offerings in China's New Stock Markets

In this paper, we investigate the post-issue market performance of initial public offerings (IPOs) in China's new stock markets. Our analysis focuses on whether and how institutional features unique to China differentially affect IPO performance. These features include the existence of dual-class shares for the same underlying firms (A-shares issued to domestic investors and B-shares issued to foreign investors) and the unusually long time lag between the offering and listing dates. Our sample consists of 277 A-share and 65 B-share IPOs that were listed on China's new stock markets during the 1992–1995 period. Our study has a number of interesting results. First, A-share IPOs are much more severely underpriced during the initial return period than B-share IPOs. Second, B-share IPOs underperform A-share IPOs (and the market) during the post-issue periods for up to three years. Third, the results of multivariate regression analyses strongly suggest that economic factors determining the post-issue performance of IPOs differ across the A-share and B-share samples.