市场摩擦对特质风险溢价的影响效应——基于A股主板市场的实证分析

与国外发达市场相比,我国A股主板市场的市场摩擦因素对市场微观结构和资产定价的影响更大。在防范和化解系统性风险的过程中,进一步分析市场摩擦如何作用于特质风险定价效应的问题具有重要的理论和现实意义。本文通过采用多维市场摩擦指标来代理信息不对称、交易成本、买卖限制、卖空限制、风险对冲和外部冲击,检验中国股市特质风险和预期收益率的关系,并判断出市场摩擦因素间的差异性影响机制。回归发现,市场摩擦和特质风险因子(特质波动率和特质偏度)都具有定价效应。各维度市场摩擦因素降低了股票流动性,进而增强了特质波动率的负向定价效应,部分解释了“特质波动率之谜”,但市场摩擦对特质偏度因子溢价的影响较为微弱。同时,基于特质波动率和特质偏度因子的投资策略能够产生超越CAPM、三因子和五因子模型的绝对收益,并印证了市场摩擦对特质风险因子绝对收益的影响作用。     

Exchange trading rules and stock market liquidity

We examine stock exchange trading rules for market manipulation, insider trading, and broker–agency conflict, across countries and over time, in 42 stock exchanges around the world. Some stock exchanges have extremely detailed rules that explicitly prohibit specific manipulative practices, but others use less precise and broadly framed rules. We create new indices for market manipulation, insider trading, and broker–agency conflict based on the specific provisions in the trading rules of each stock exchange. We show that differences in exchange trading rules, over time and across markets, significantly affect liquidity.     

Information transfer,microstmctures and intraday price return spikes

Previous research has identified overnight public information as the cause of higher opening returns and mean reversion in security markets. This paper tests this hypothesis by using an intervention and transfer function time series model to filter out the dynamic effects of an overnight information set on the opening, and subsequent, intraday AOI stock and SPI futures intraday price returns. A further research objective was to analyse the process by which information is transferred into prices and whether there is a differential impact across stock and futures markets. It was determined that the information contained in the overnight US stock market had: (i) a differential impact on the Australian stock and futures market, and (ii) after filtering out the impact of overnight information, a significant reversal tendency remained in both markets after opening. Further analysis supported the conclusion that price spikes at opening were not wholly related to overnight information. Other possible explanations, such as different trading mechanisms, did not provide a satisfactory explanation. Overall, it appears that the uncertainty participants face at the beginning of a trading session may induce a number of subtle market reactions (both rational and irrational), in markets with different microstmctures and trading clientele.     

Is technical analysis profitable on a stock market which has characteristics that suggest it may be inefficient?

This paper considers the returns to technical analysis on the New Zealand stock market. The small nature, short-selling constraints, lack of analyst coverage, and loose insider trading regulation suggest that the New Zealand equity market may be less efficient than overseas markets. This raises the possibility that technical analysis is still profitable in New Zealand. Using a bootstrapping technique with common null models for stock returns and 12 popular technical trading rules, we find that the returns to technical analysis in New Zealand follow a similar pattern to those in large offshore markets. Technical analysis is no longer profitable.     

Together we invest? Individual and institutional investors' trading behaviour in Poland

This paper contributes to the debate about individual and institutional investors' trading behaviour with new evidence from the Polish stock market. While most existing studies focus on institutional investors' trading in developed markets, we test for the presence of herding during market up- and downswings on an emerging market. Our unique approach is to combine an established method relying on daily prices with institutional features of the Warsaw Stock Exchange. It enables us to separate individuals from institutions by examining two trading mechanisms with different investor structures. The empirical results suggest that individuals engage in herding during market downswings, while there is less evidence of imitating trading behaviour in bullish markets. Regardless of the state of the market, institutions' trading behaviour does not appear to exhibit herd behaviour. Further evidence suggests that herding by individuals becomes less pronounced over time.     

A profitable trading and risk management strategy despite transaction costs

We present a new profitable trading and risk management strategy with transaction cost for an adaptive equally weighted portfolio. Moreover, we implement a rule-based expert system for the daily financial decision-making process using the power of spectral analysis. We use several key components such as principal component analysis, partitioning, memory in stock markets, percentile for relative standing, the first four normalized central moments, learning algorithm, and switching among several investment positions consisting of short stock market, long stock market and money market with real risk-free rates. We find that it is possible to beat the proxy for the equity market without short selling for 168 S&P 500-listed stocks during the 1998–2008 period and 213 Russell 2000-listed stocks during the 1995–2007 period. Our Monte Carlo simulation for both the various set of stocks and the interval of time confirms our findings.     

On the efficiency of intra-industry information transfers: The dilution of the overreaction anomaly

We revisit the stock market anomaly documented by Thomas and Zhang (2008) and show that the apparent mispricing of information transfers has decayed over time, as the US markets experienced rapid improvements in the efficiency of the underlying price formation processes. Utilizing recent advancements in market microstructure research to estimate firm-specific proxies for market efficiency, we demonstrate that the existence of the overreaction anomaly (where stock prices of late announcers in response to the earnings reported by early announcers in the same industry are negatively related to subsequent price responses of late announcers to their own earnings reports) is specific to an earlier sample period and results from the inefficient incorporation of information into prices, largely attributable to an environment with high barriers to arbitrage. Our results indicate that the pricing efficiency of intra-industry information transfers has increased in the recent years of increased liquidity and markedly higher trading activity.     

US and Domestic Market Gains and Asian Investors’ Overconfident Trading Behavior

We find that subsequent to both US and domestic market gains, both Asian individual and institutional investors increase their trading and that this effect is more pronounced in bull markets, in periods of relatively favorable investor sentiment, in periods of extremely high market returns, and in markets with short‐sale constraints. We also find that individual investors trade more in response to market gains than institutional investors. Moreover, we find that further integration of Asian stock markets with US stock markets after the Asian financial crisis in 1998 is an important reason for Asian investors’ response to US market gains.     

The Lead–Lag Relationship Between Stock Indices and Stock Index Futures Contracts: Further Australian Evidence

This article examines the lead-lag relationship in returns on stock index futures and the underlying stock index for the Australian market between 1992 and 1997. On average across the sample period, futures returns lead index returns by twenty to twenty-five minutes and there is some evidence of feedback from the equities market to the futures market. Analysis conducted on a year-by-year basis suggests that the extent to which the futures market leads the equities market has decreased over time and the relationship between the two markets has generally strengthened. This is consistent with an increase in the level of integration between the markets. The results suggest that prior research that compares lead-lag relationships across international markets and time periods in drawing inferences on the effects of market structure needs to be interpreted with caution.     

Market reactions to a cross-border carbon policy: Evidence from listed Chinese companies

The effects of cross-border carbon policy have attracted increasing attention worldwide. We investigate the reaction of the Chinese stock market to the announcements of 12 legislative events associated with the European Union Carbon Border Adjustment Mechanism (EU CBAM). Our results, based on all industrial companies listed on China's Shenzhen or Shanghai Stock Exchanges, show that Chinese companies that export their products to the EU experience a more negative cumulative abnormal return around EU CBAM events than their counterparts (non-export companies and non-EU export companies). A cross-sectional analysis reveals that negative stock market reactions to the legislative events are greater when companies have greater carbon emissions intensity. Our further analyses show that being listed in both A-share and H-share markets, participating in a carbon emissions trading scheme, and having intensive cross-border collaboration mitigate the adverse market reactions. Our results show that the Chinese market is sensitive to legislative announcements associated with this cross-border carbon policy.     

Strategic insider trading in foreign exchange markets

Inside traders are well-documented to leverage private idiosyncratic information for personal gain in centralized exchanges such as stock markets. Evidence is rare, however, for decentralized and fragmented over-the-counter markets with microstructure properties that make them particularly vulnerable to stealth trading. The 2015 criminal conviction of Hill and Kamay for foreign exchange insider trading is the first in over-the-counter markets. We analyze their actions to show the complex, strategic decision-making of insiders even in opaque markets where they run a low risk of detection and prosecution: they trade when the market is most sensitive to local information, carefully choose and time their trades to minimize the risk of confounding information disclosures that may affect their profits, as well as act during high noise trading to mask their trades. Our results are consistent with evidence on insider trading in stock markets. We highlight the limitations of regulatory control in over-the-counter markets where technology-based surveillance methods are ineffective, while reinforcing the importance of whistleblowers in detecting and preventing insider trading.     

股指期货市场操纵与价格发现功能的关系研究

股指期货市场操纵会影响股指期货市场的价格发现功能,同样地,股指期货市场的价格发现功能也会影响股指期货市场的操纵行为。本文在理论探讨的基础上,利用股指期货主力合约及对应的沪深300指数高频数据对市场操纵行为进行实证分析。研究结果表明,当操纵嫌疑只存在于期货市场时,股指期货市场的价格发现功能将会减弱;当操纵嫌疑存在于期货、现货两个市场时,股指期货市场的价格发现功能相对会增强。而且,当股指期货市场价格发现功能较强时,市场操纵的难度和成本都将下降。当前中国股指期货市场的操纵行为可能主要局限于某些个别的、离散的交易日内,系统地通过操纵现货指数来操纵期货市场的可能性较低。     

Institutional Traders' Behavior in an Emerging Stock Market: Empirical Evidence on Polish Pension Fund Investors

Abstract:   In this paper, we contribute to the literature on institutional herding and feedback trading by analysing the investment behavior of pension funds on the Polish stock market. Pension funds entered into the stock market due to the national pension system reform in 1999, providing a unique opportunity to receive deeper insight into the behavior of institutional investors in an emerging capital market. Our results show that Polish pension fund investors are to a greater extent involved in herd‐like behavior and pursue feedback trading strategies more often than their counterparts in mature markets. This finding is primarily attributed to a stringent investment regulation and high market concentration. We do not detect, however, that trading by the pension funds exerts significant influence on the future stock prices.     

Effect of the ban on short selling on market prices and volatility

We examine the effects of the short‐selling ban, imposed by Australian regulators in the wake of the global financial crisis, on the trading of financial stocks. Our findings argue against commonly stated reasons for imposing short‐sale bans. We find no evidence that short‐sale restrictions provide support for stock prices or that they reduce volatility. Moreover, stocks subject to the short‐selling ban suffered a severe degradation in market quality. Controlling for the adverse effects of the financial crisis on markets, we show that short‐selling restrictions increase intraday volatility, reduce trading activity and increase bid–ask spreads.     

Trading Activity and Financial Market Integration

We investigate the effect of trading activity in the Asian emerging markets on the market integration across Asian emerging and major developed markets over the sample period of 1997 to 2009. The empirical evidence confirms that higher trading activity in Asian emerging markets can induce these markets and developed markets to become more integrated. Furthermore, we identify the mediation effect of market volatility on Asian emerging markets. This effect demonstrates that trading activity in Asian emerging markets not only directly enhances market integration, but also intensifies market volatility, indirectly increasing market integration.     

The dynamics of quote adjustments

Liquidity providers on the NYSE make faster quote adjustments towards equilibrium spreads and depths than they do on NASDAQ. Liquidity providers in both markets make faster spread and depth adjustments for stocks with more frequent trading, greater return volatility, higher prices, smaller market capitalizations, and smaller trade sizes. We find that stocks with greater information-based trading and in more competitive trading environments exhibit faster quote adjustments. The speed of quote adjustment is faster after decimalization in both markets. These results are robust and not driven by differences in stock attributes between the two markets or time periods. Overall, our results indicate that stock attributes, market structure, and tick size exert a significant impact on the speed of quote adjustment.     

Dynamics of financial markets and transaction costs: A graph-based study

In financial markets, trading patterns influence the behaviour of arbitrage, surveillance, risk management and pricing returns. The analysis of these patterns is important for defining policies in financial regulation as well as portfolios of international assets. Using financialization as a conceptual framework to understand the current trading patterns of financial markets, this work employs a market graph model for studying the stock indexes of geographically separated financial markets. By using an edge creation condition based on a transaction cost threshold, the resulting market graph features a strong connectivity, some traces of a power law in the degree distribution and an intensive presence of cliques. Furthermore, an inverse relation between transaction costs and maximal clique size is noticed. The market graph model also indicates that infrastructure, sustainability and commodity indexes from APEC, EU and NAFTA affect the behaviour of markets. As a result, the graph approach shows a consistent set of outcomes that mostly explain the financialization dynamics of markets.     

Predictability of the simple technical trading rules: An out‐of‐sample test

In a true out-of-sample test based on fresh data we find no evidence that several well-known technical trading strategies predict stock markets over the period of 1987 to 2011. Our test safeguards against sample selection bias, data mining, hindsight bias, and other usual biases that may affect results in our field. We use the exact same technical trading rules that Brock, Lakonishok, and LeBaron (1992) showed to work best in their historical sample. Further analysis shows that this poor out-of-sample performance most likely is not due to the market becoming more efficient – instantaneously or gradually over time – but probably a result of bias.     

Fundamentalists clashing over the book: a study of order-driven stock markets

Abstract

Agent-based models of market dynamics must strike a compromise between the structural assumptions that represent the trading mechanism and the behavioural assumptions that describe the rules by which traders make their decisions. We present a structurally detailed model of an order-driven stock market and show that a minimal set of behavioural assumptions suffices to generate a leptokurtic distribution of short-term log-returns. This result supports the conjecture that the emergence of some statistical properties of financial time series is due to the microstructure of stock markets.     

Hurst exponent behavior and assessment of the MENA stock markets efficiency

In this paper, we test the evolving efficiency of MENA stock markets. Our empirical approach is founded on the behavior of the Hurst exponent over time. We computed the Hurst exponent using a rolling sample with a time window of 4 years. The empirical investigation has been conducted on the major Middle East and North African stock markets. The sample data covers in daily frequency the period (January 1997 to December 2007). Our empirical results show that all MENA stock returns exhibit long-range memory and certain markets are becoming more efficient. Ranking MENA stock markets by efficiency with our measures of long-range dependence have shown that Israel's, Turkey's and Egypt's markets are the less inefficient markets in this region. Furthermore, we have founded evidence of statistically significant rank correlation between the measure of long-range dependence and average trading costs, market capitalization and anti-self-dealing index, which suggests that these variables play a role in explaining these differences in the stage of inefficiency.