卖空机制、股价信息含量与暴跌风险--基于融资融券交易的经验证据

文章利用我国逐步推出融资融券交易的自然实验机会,运用双重差分的研究设计,考察了卖空机制对股价反映负面消息效率的影响。文章以2007-2012年的数据为样本研究发现：相对于非标的股票,融资融券标的股票在成为标的之后,其股价对市场的向下波动及时做出了调整,使得股价对市场正负向波动反应之间的不对称性显著降低,表明标的股票更加及时和充分地吸收了有关公司价值的负面信息;同时,相对于非标的股票,融资融券标的标的股票在成为标的之后,其股价暴跌风险显著降低。文章结果表明,我国股市推出融资融券交易后,卖空机制提高了市场对标的股票负面消息的定价效率。     

WHY DO PRICE SPREADS BETWEEN DOMESTIC SHARES AND THEIR ADRS VARY OVER TIME?

Abstract. The exchange translated price spreads between domestic stocks and their American depositary receipts (ADRs) are conventionally ascribed to market friction. However, price spreads vary over time and sometimes fluctuate dramatically, which is hardly explainable by friction costs and implies the existence of arbitrage opportunities. This study hypothesizes that changes in trading volume and macro events generate heterogeneous expectations between two markets, which augments price spreads. Using a sample of 37 dual‐listing firms of six Far Eastern countries, we confirm this hypothesis by showing that domestic volume and macro events shift price spreads. We also find that: (i) the liberalization of capital control in Korea and Taiwan slashed price spreads; and (ii) investors can profit by trading Hong Kong stocks and ADRs.     

Productivity growth and stock returns: firm- and aggregate-level analyses

A firm’s stock return is affected not only by its own productivity growth rate, but also by other firms’ productivity growth rates. We show that this spillover effect is significant and time-varying, and underlies a fallacy of composition observed in late 20th century U.S. data: stock returns and productivity growth are correlated positively in firm-level data but negatively in aggregate data. This seeming fallacy of composition reflects Schumpeterian creative destruction: a few technology winners’ stocks rise with their rising productivity while many technology losers’ stocks fall with their declining productivity. Thus, most individual firms’ stock returns correlate negatively with aggregate productivity growth. This implies that technological innovation need not be a blessing for all firms and as a result, for investors holding the market. Our findings also provide a firm-level technology innovation-based explanation of prior findings that the market return correlates negatively with aggregate earnings.     

T+1 trading mechanism causes negative overnight return

The T+1 trading mechanism is unique in the Chinese stock market, thus providing a natural experimental field to study the trading mechanism and price behaviors. This paper proposes and proves that T+1 trading mechanism causes negative overnight return, the overnight return can serve as a proxy of the T+1 trading mechanism. The paper finds that the overnight return of the Chinese stock market is significantly negative, whereas those under the T+0 trading mechanism, such as China’s stock index futures, Hong Kong stocks, and major international indices, all have around 0 or positive overnight returns. T+1 trading mechanism has greater impacts on stocks with more divergent investor opinions, higher risk, more individual investor percentages, higher arbitrage restrictions, and less liquidity. The T+1 trading mechanism distorts the price generation mechanism of stocks. The paper contributes to the understanding of impact of trading mechanism on stock prices.     

When Do Opening Stock Returns Tend to be Higher?

Abstract

In this study, I make an effort to formulate a trading rule that would make use of some systematic interday patterns in individual stocks’ opening returns. I analyze intraday price data on all the stocks that were S&P 500 Index constituents during the period from 1993 to 2012. I document that if the general market direction of the previous day's opening session is controlled for, then a stock's opening return tends to be higher if, on the previous trading day, its opening return was relatively high (either positive, or higher than the same day's opening market return) and its open-to-close return was relatively low (either non-positive, or lower than or equal to the same day's open-to-close market return). Finally, for the sampling period, I construct two different investment portfolios involving a long position in the stocks on the days when, according to the findings, their opening returns are expected to be high and a short position in the stocks on the days when, according to the findings, their opening returns are expected to be low. Both portfolios are found to yield significantly positive returns, providing evidence for the practical applicability of the documented patterns in opening stock prices.     

Export and import market-specific characteristics

Using a rich firm-level dataset on the Italian manufacturing industry, this paper provides a comprehensive analysis of the role that firms and market characteristics play in shaping firms’ trade activities. We enhance the previous analyses by considering firms’ engagement in international transactions, by focusing on either exports or imports. We show that the determinants of a firm’s export participation and value across countries also drive import behavior. Our research is consistent with the presence of country-specific sunk costs and with a qualitatively similar role of gravity forces and other country attributes on both sides of trading activities. Our evidence, however, militates in favor of a framework where variations in market characteristics have a larger impact on imports than exports.     

融券制度与内部人寻租——来自准自然实验的经验证据

内部人寻租一直以来是理论与实务界关心的重点,如何有效抑制内部人寻租行为是资本市场的重大课题。本文以内部人交易度量内部人寻租,分析了融券制度对内部人寻租的影响。研究发现:(1)融券制度对内部人寻租有显著抑制作用,并且融券规模越大,内部人寻租越少。(2)相比于国有企业,非国有企业当中融券制度对内部人寻租的抑制作用更加明显。本文还将内部人交易分方向进行回归,结果显示融券制度对内部人寻租的抑制作用主要体现在卖出方向上。本文进一步分析了融券制度影响内部人寻租的路径,发现“竞争效应”和“信息效应”是融券制度影响内部人寻租的两条重要路径。本文考虑了竞争性解释——分析师关注的作用,发现分析师关注并不能影响本文结论的正确性;本文还利用反面事实推断、倾向得分匹配、反向因果检验等方法,确保实证结论的稳健性。本文的研究结果,丰富了内部人寻租的特征及影响因素研究,有利于市场监管部门加强对内部人寻租行为的控制;扩充了有关融券制度的文献,为卖空制度的推行及完善提供理论依据。     

Price discovery and the effects of fragmentation on market quality: evidence from Cypriot cross-listed stocks

Using a novel high-frequency data set, we examine the contribution of Greek trading to the price discovery process of a pair of Cypriot blue-chip, cross-listed stocks during overlapping trading hours. Additionally, we investigate the effects of market fragmentation on the home market’s quality, as measured by microstructure-based liquidity measures. Contrary to earlier studies from other markets, our findings show that foreign stock exchanges can act as the leading contributors to price discovery and can concentrate the majority of trading activity and produce the lowest transaction costs. Our results also show that market fragmentation can lead to negative effects on market liquidity.     

Price clustering of IPOs in the secondary market

This article studies the integer price clustering of Initial Public Offerings (IPOs) in the secondary market trading during the first 240 trading days after their IPO dates. The results indicate the huge difference between the integer price frequency of IPOs in the primary market and that of matched stocks in the secondary market almost disappears on the first trading day after IPO. The integer price frequency of IPOs is still significantly higher than that of matched stocks during the first 240 trading days. However, after controlling for price level, trading characteristics and IPO price support, the integer price frequency of IPOs conforms to that of matched stocks and that those IPOs with integer offer prices have the same integer price frequency as IPOs without.     

Modeling Jumps and Volatility of the Indian Stock Market Using High-Frequency Data

Recent advancements in technology have led to wide availability of high-frequency financial data. The aim of this paper is to study the behavior of the Indian stock market. In particular, we analyze the returns at 5 min interval from NSE using the index NIFTY and the stocks State Bank of India and Infosys. A non-parametric approach is taken to detect jumps in the return process. The analysis shows that index jumps relate very closely with the general market news and announcements while individual stock jumps are associated with company specific news. We find that volatility of the market is best captured by asymmetric power ARCH models.

     

Incomplete Information, Trading Costs and Cross‐autocorrelations in Stock Returns

This paper provides an economic rationale for the cross‐autocorrelation patterns in stock returns in the context of a microstructure model in which investors have incomplete information. The paper shows that in a market in which investors are informed about only a sub‐set of stocks, the emergence of lead‐lag, cross‐autocorrelations is a function of the cost of trading in other stocks based on information about the sub‐set of stocks. If cross‐trading costs are high, informed investors will trade only in the sub‐set of stocks they are informed about; if cross‐trading costs are moderate, informed investors will randomize between trading and not trading in other stocks; and if cross‐trading costs are low, they will trade in all stocks. When informed investors trade only in a sub‐set of stocks, prices of stocks with more informed trading will adjust to common factor information faster than the prices of stocks with less informed trading giving rise to asymmetric lead‐lag cross‐autocorrelations. When informed investors trade in all stocks, asymmetric lead‐lag cross‐autocorrelations will disappear as a result of their cross‐market arbitrage trading. These results provide a number of testable implications for lead‐lag cross‐autocorrelation patterns. The data is consistent with the empirical predictions .
(J.E.L.G12, G14).     

Innovation,exports, productivity and investment climate; a study based on Indian manufacturing firm-level data

In this paper, we use univariate instrumental estimations to study the interactions between firm-level innovation, exports and productivity in the Indian manufacturing sector. To differentiate incentives to innovate from the ability to innovate, we distinguish the inputs of innovation (R&D and training) from the outputs. Our findings highlight a virtuous circle between the three components of innovation, as well as between firms’ R&D, innovation and exports. The productivity of Indian manufacturing firms is benefiting from this dynamics, as exports and innovation improve firms’ TFP. With respect to the investment climate, our results suggest that differences in the environment of Indian companies contribute to their performance gaps. These results are all the more important in the context of the Make in India campaign and the weaknesses of India’s business environment.     

Early wealth effects of Asia Pacific and European NASDAQ-listed ADRs: a comparison of 1990s and 2000s issues

This study provides the one-month excess performance analysis of the 75 Asia Pacific and 77 European equities listed in the NASDAQ as American Depository Receipts (ADRs) from 1990 through 2009. The sample is broken down not only by region of issue, but also by timing of the issue (listed in the 1990s versus 2000s). ADRs from the Asia Pacific region outperformed the NASDAQ on average by 7.2% for the 1990s issues while those listed in the 2000s decade underperformed by 4.3% in the first month of trading. However, the monthly excess returns of European ADRs exceeded the NASDAQ by 6.2% and 6.1%, respectively, for each decade. Results suggest investing in newly listed ADRs from these regions may provide investors with early returns that exceed the market index.     

The dynamic relationship between the prices of ADRs and their underlying stocks: Evidence from the threshold vector error correction model

This paper sets out to estimate the dynamic relationship that exists between the prices of ADRs and their underlying stocks, in both the short run and the long run, using a number of recent developments of the threshold cointegration framework. The empirical results support the notion of nonlinear mean reversion of the prices of ADRs and their underlying stocks.     

污染物减排政策效果比较——基于经济学视角

我国政府已经把减少污染物排放作为约束性指标纳入到国家中长期发展战略之中,采取有效的污染物减排政策是中国缓解环境压力、实现经济社会可持续发展的重要手段.排污权交易制度是在总量管制的情况下,通过污染物排放权的分配,最终实现该区域总的排污量削减.本文从经济学的视角,研究了排污权交易的实施基础,并与行政强制性减排以及环境税减排进行了效率比较,结果表明排污权交易比单纯的行政强制性排污和环境税约束具有更高的市场效率以及灵活性,同时并不会降低整个社会的污染物排放效果.此外,从市场势力的影响、市场信息的影响、交易规则的影响等方面讨论了影响排污权交易市场效率的因素,对我国排污权交易市场的发展提出了相应的建议,为排污权交易市场的稳定运行提供了理论参考.     

融资融券与企业产品市场竞争*

本文探究融资融券对上市公司产品市场竞争行为的影响。通过理论分析与实证检验，本文发现融资融券政策的实施促进了标的企业产品市场竞争行为，但是由此带来的潜在的过度竞争问题可能导致企业整体绩效有所下降。本文还发现融资融券的政策效果主要集中于融资交易强度较高、或股价信息敏感度较低的公司。本文的研究结果表明，我国融资和融券交易发展的不对称性放大了资本市场对公司正面信息的奖励效应，可能促使公司在产品市场过度竞争，降低了整体绩效，而个股股价信息敏感度的提高有助于缓解上述问题。     

Information asymmetry,cluster trading,and market efficiency: Evidence from the Chinese stock market

This study investigates the effect of asymmetry information and illiquidity related to cluster trading on information integration efficiency in the Chinese stock market. The results show that information asymmetry and illiquidity related to cluster trading both negatively affect market efficiency in the Chinese stock market. While the effect of information asymmetry on market efficiency dominates in the informational period, the effect of illiquidity related to cluster trading dominates in other periods, when trading is less concentrated. Noise trading has a positive effect on market efficiency by greatly reducing the illiquidity related to cluster trading; however, its effect on information asymmetry is not significant. Our results provide insight into investors’ trading strategies.     

Uncertainty and liquidity in corporate bond market

We examine the uncertainty–liquidity connection in the corporate bond market. Using monthly corporate bond data from 2005 to 2010, we construct proxies for parameter uncertainty by using firm-level parameters generated from a structural model of corporate debt. We find that uncertainty about firm parameters decreases trading volume but increases bid-ask spreads and price bouncing in the cross-section and across time. In addition, the panel VAR results show that parameter uncertainty has negative forecasting power for future bond liquidity, with greater uncertainty in the current month leading to lower trading volume, higher bid-ask spreads and higher price fluctuations on subsequent months. We conclude that parameter uncertainty is one of the underlying factors giving rise to the high level of illiquidity in the corporate bond market.     

The anatomy of returns from moving average trading rules in the Russian stock market

This paper examines the profitability of index trading strategies that are based on dual moving average crossover (DMAC) rules in the Russian stock market over the 2003–2012 period. It contributes to the existing technical analysis (TA) literature by comparing for the first time in emerging markets the relative performance of individual stocks’ trading portfolios with that of trading strategies for the index that consists of the same stocks (i.e., the most liquid stocks of the Moscow Exchange). The results show that the best trading strategies of the in-sample period can outperform buy-and-hold strategy during the subsequent out-of-sample period, although with low statistical significance. In addition, we document the benefits of using DMAC combinations that are much longer than those employed in previous TA literature. Moreover, the decomposition of the full-sample-period performance into separate bull- and bear-period performances shows that the outperformance of the best past index trading strategies over is mostly attributable to the fact that they managed to stay mostly out of the stock market during a dramatic crash caused by the global financial crisis.     

Examining the relationship between stock return volatility and trading volume: new evidence from an emerging economy

Using daily stock return data for individual stocks from an emerging economy, this article examines the relationship between return volatility and trading volume under the theoretical postulate of the mixture of distributions hypothesis. The results suggest that the contemporaneous trading volume as a proxy for latent information arrival to the market did not contribute to the removal of significant ARCH or Generalized Autoregressive Conditional Heteroscedasticity effects that are found in stocks at the first stage of the investigation. The same holds for the lagged volume except for one case. This, perhaps, suggests that the trading volume (contemporaneous or lagged) is not adequately conveying information to induce traders’ views of the desirability of trade and, therefore, points to the need for searching for other micro and macro variables to be used as potential proxy for information arrival to the stock market of the emerging economy.