Return and Volatility Spillovers Between Large and Small Stocks in the UK

Abstract:  This paper investigates return and volatility spillover effects between the FTSE 100, FTSE 250 and FTSE Small Cap equity indices using the multivariate GARCH framework. We find that return and volatility transmission mechanisms between large and small stocks in the UK are asymmetric. In particular, there are significant spillover effects in both returns and volatility from the portfolios of larger stocks to the portfolios of smaller stocks. For volatility, there is also evidence of limited feedback from the portfolios of smaller stocks to the portfolios of larger stocks, although sub-period analysis suggests that this is to some extent period-specific. Simulation evidence shows that non-synchronous trading potentially explains some, but not all, of the spillover effects in returns, and that it explains none of the spillover effects in volatility. These results are consistent with a market in which information is first incorporated into the prices of large stocks before being impounded into the prices of small stocks.     

The Impact of Firm-Specific Public News on Intraday Market Dynamics: Evidence from the Turkish Stock Market

This study attempts to discover the intraday firm-specific news announcements and return volatility relation in the Turkish stock market. The GARCH framework is utilized to investigate the impact of firm-specific public news announcements on volatility persistence with and without trading volume. For the majority of the stocks in the sample, the volatility persistence diminishes with the inclusion of firm-specific news, implying that news is impounded rapidly into prices. This effect is more pronounced for larger stocks. When there is no news, the trading volume does not appear to reduce the volatility persistence for the majority of stocks, possibly due to the presence of private information possessed by informed traders.     

Which time-frequency domain dominates spillover in the Chinese energy stock market?

Previous studies detected the spillover relations among stocks and identified the spillover roles of stocks. However, due to the participants with different dealing frequencies, the spillover effects in the stock market present multiscale features, then which time-frequency domain dominates the spillover in the stock market? Take Chinese energy stocks as an example, this paper examines the return spillover effects of the energy stock market under each time-frequency domain. We find significant return spillover in the Chinese energy stock market under different time scales, and the spillover effect under the time scale of 32–64 days contributes the most to the spillover in the whole energy stock market. Then we take further research on the directional spillovers, spillovers between energy stocks and spillovers between energy industries to detect who plays leading positions under each time scale. We divide the stocks into four roles, and find that it is different role that plays a leading position under each time scale. Furthermore, a small number of spillover relationships between energy stocks carry a large part of the total spillover quantities, and coal and consumable fuel-related stocks play an important role in the spillover of Chinese energy stocks. The robustness of our results is proved by additional tests with different forecast horizons. Our paper contributes to the literature by examining the multiscale spillover effect in the Chinese energy stock market, which provides references for market participants on investment horizons choosing, stocks selection and risk aversion.     

交易限制与股票市场定价效率——基于创业板涨跌幅限制放宽的准自然实验研究

本文基于2020年8月24日创业板涨跌幅限制由10%扩大到20%这一政策变化建立准自然实验,从市场层面与公司事件层面探讨交易限制放宽的外生冲击下市场定价效率的变化。研究发现,涨跌幅限制放宽政策实施后,股票价格能更灵敏地反映公开市场信息,更多地包含公司层面特质信息,整体市场定价效率显著提升。进一步研究表明,涨跌幅限制放宽有效缓解了交易干扰问题,避免了过度交易行为延后,缓解了波动性外溢与价格发现延迟。异质性分析表明,无论是市场层面定价效率改善,还是事件层面波动性外溢、价格发现推迟与交易干扰问题的缓解,均在低信息透明度公司中更为显著。本文研究发现为验证涨跌幅限制会抑制股票市场定价效率的理论提供了直接经验证据,同时为推广完善市场化交易制度提供了有益启示。     

Speed of convergence to market efficiency: The role of ECNs

Chordia, Roll and Subrahmanyam (2005, CRS) estimate the speed of convergence to market efficiency based on short-horizon return predictability of the 150 largest NYSE firms. We extend CRS to a broad panel of NYSE stocks and are the first to examine the relation between electronic communication networks (ECNs) and the corresponding informational efficiency of prices. Overall, we confirm CRS's result that price adjustments to new information occur on average within 5–15 min for large NYSE stocks. We further show that it takes about 20 min longer for smaller firms to incorporate information into prices. Most importantly, we demonstrate that the speed of convergence to market efficiency is significantly related to the type of trading platform where orders are executed, even after controlling for relative order flows, trading costs, volatility, informational effects, trading conditions, market quality, institutional trading activity, and other firm-specific characteristics. Our findings provide direct answers and insights to issues raised in a recent SEC concept release document.     

Liquidity commonality and spillover in the US and Japanese markets: an intraday analysis using exchange-traded funds

This article examines the intraday returns and liquidity patterns of the Standard & Poor’s Depositary Receipts (SPY) and the iShares Morgan Stanley Capital International Inc. (MSCI) Japan Index Fund (EWJ). These exchange-traded funds seemingly have very different holdings, namely, US stocks and Japanese stocks. Our findings suggest that some commonality exists in the returns and liquidity of these apparently different assets. First, there are intraday, daily and monthly patterns in the measures of liquidity for both funds. Second, the measures of liquidity are correlated across these two assets. Third, there is evidence of intraday spillover in the mean, volatility and depth from the SPY to the EWJ, but daily spillover is not observed. Our study extends two evolving strands of the literature: the integration of world markets in terms of returns behavior, and the other strand suggests that liquidity may have a systematic, or market-wide, component. This paper provides direct evidence of the integration between the US and Japanese markets because contemporaneous trading prices for the US (SPY) and Japanese (EWJ) indices are employed.

The makings of an information leader: the intraday price discovery process for individual stocks in the DJIA

The main purpose of this paper is to construct an intraday arbitrage price series for each stock in the DJIA using information in the Diamond Trust Fund ETF. We then compute the information shares (Hasbrouck in J Finan 50(4):1175–1199, 1995) for the actual versus the arbitrage prices for each stock. While previous literature documents that ETFs lead stock indices in information origination, we find that some firms are “information leaders” in that the information share that comes from the stock price is larger than that which comes from the ETF-related arbitrage price. Further analysis is conducted to uncover the firm-specific factors that are related to a stock’s role in information generation.     

Momentum spillover from stocks to corporate bonds

We investigate and improve momentum spillover from stocks to corporate bonds, i.e. the phenomenon that past winners in the equity market are future winners in the corporate bond market. We find that a momentum spillover strategy exhibits strong structural and time-varying default risk exposures that cause a drag on the profitability of the strategy and lead to large drawdowns if the market cycle turns from a bear to a bull market. By ranking companies on their firm-specific equity return, instead of their total equity return, the default risk exposures halve, the Sharpe ratio doubles and the drawdowns are substantially reduced.     

On spillover effects between cryptocurrency-linked stocks and the cryptocurrency market: Evidence from Australia

This paper categorizes Australian listed cryptocurrency-linked stocks (CLS) by their involvement as a user, developer and diffuser, and investor of blockchain technology and cryptocurrencies based on company announcements and published information on the company websites. By distinguishing CLS engagement with blockchain technology, we examine their returns and volatility spillover with the cryptocurrency market over the period 1 September 2017 to 7 June 2018, spanning important episodes and dynamics in the cryptocurrency market in 2017-2018, and the emergence of Australian CLS. Utilizing the Diebold and Yilmaz (2012) spillover methodology, we find significant unidirectional return spillover and weak volatility spillover from the cryptocurrency market to CLS, after controlling return dynamics of the Australian dollar, Gold and commodity. However, CLS with high involvement in blockchain technology displays stronger connectedness to the cryptocurrency market through return spillover relative to low involvement CLS. Our findings indicate that investors incorporate the price dynamics of cryptocurrencies into their trading decisions for CLS.     

Risk-sharing,market imperfections,asset prices: Evidence from China’s stock market liberalization

We examine the roles of risk-sharing and other factors in stock price revaluation during a recent liberalization episode in China. Consistent with the theoretical prediction that liberalizations reduce systematic risk, we find that risk-sharing explains approximately one-fourth of the price revaluation of investible stocks during the eight-month window between reform announcement and implementation. The firm-specific information generated by the reform is more efficiently priced into stocks that have a higher degree of market liquidity, information transparency, and informed trading.     

Insider trading and firm-specific return volatility

Roll (J Financ 43:541–566, 1988) argues that firm-specific stock return volatility may result either from informed trading or from noise trading that is unrelated to information. In this paper we provide evidence that insider purchases are inversely related to the idiosyncratic volatility of stocks. We also find that stock idiosyncratic volatilities are generally inversely related to future 6- and 12-month returns. Our results are primarily driven by the timing of insider sales rather than insider purchases. The results are consistent with an information-based explanation of firm-specific return volatility.     

Option trading after the opening bell and intraday stock return predictability

Prior literature finds that information is reflected in option markets before stock markets, but no study has explored whether option volume soon after market open has predictive power for intraday stock returns. Using novel intraday signed option-to-stock volume data, we find that a composite option trading score (OTS) in the first 30 min of market open predicts stock returns during the rest of the trading day. Such return predictability is greater for smaller stocks, stocks with higher idiosyncratic volatility, and stocks with higher bid–ask spreads relative to their options’ bid–ask spreads. Moreover, OTS is a significantly stronger predictor of intraday stock returns after overnight earnings announcements. The evidence suggests that option trading in the 30 min after the opening bell has predictive power for intraday stock returns.     

The intraday impact of company responses to exchange queries

This study investigates Australia’s unique continuous disclosure regime using intraday data on the Australian Securities Exchange (ASX) over the period January 2010–April 2012. We examine abnormal returns and trading volumes that accrue to shareholders immediately after an announcement responding to a trading induced query. The use of intraday data permits us to examine the direct impact of these events, and the length of time the market takes to incorporate this information with a higher degree of precision than the research currently on offer. The study is framed within an event study methodology, with a number of robustness measures: a matched sample approach; analysis of cross-sectional determinants; the removal of penny stocks; and, procedures to account for sample selection bias. We find significant share price reversals following a query announcement, with a reversal of 3.3% by the end of the widest event interval. Our study also provides evidence that the market takes up to 60 min to impound this information. Overall, we provide support for the efficacy of the query framework administered by the ASX.     

Determinants and consequences of information processing delay: Evidence from the Thomson Reuters Institutional Brokers’ Estimate System

We present new evidence that highlights the role of information intermediaries in the distribution and processing of earnings estimates in capital markets. We find that the time taken to activate an analyst's earnings forecast in the Thomson Reuters Institutional Brokers’ Estimate System is related to measures of investor demand for timely information processing, processing difficulty, and limited attention. Furthermore, we find that forecast announcement returns are muted and post-announcement drift is magnified for forecasts with longer unexpected activation delay and that market inefficiency is concentrated in neglected stocks and potentially exploitable. Finally, analyzing intraday returns, we find that activations facilitate price discovery.     

Reexamining momentum profits: Underreaction or overreaction to firm-specific information?

We design a new measure and find that the predictability of past returns on future returns increases as stocks respond with delay to firm-specific information. Our results suggest that momentum is caused by both investors’ underreaction and overreaction to information. However, underreaction to information seems to be the primary cause, particularly during the more recent period. Our findings are robust for recent explanations of momentum profits and alternative methods for computing our measure. We also find that stocks respond with delay to firm-specific information, partly due to certain firm characteristics, and partly because they escape investor attention due to their low visibility. Our paper extends and refines Jegadeesh and Titman’s (J Financ 56(2):699–720, 2001) finding that momentum profits are consistent with behavioral models’ predictions regarding investors’ overreaction.     

Ownership concentration,foreign shareholding,audit quality,and stock price synchronicity: Evidence from China

This paper investigates the effects of largest-shareholder ownership concentration, foreign ownership, and audit quality on the amount of firm-specific information incorporated into share prices, as measured by stock price synchronicity, of Chinese-listed firms over the 1996–2003 period. We show that synchronicity is a concave function of ownership by the largest shareholder with its maximum at an approximate 50% level. Further, we find that synchronicity is higher when the largest shareholder is government related. We also find that foreign ownership and auditor quality are inversely associated with synchronicity. Finally, we show that the amount of earnings information reflected in stock returns is lower for firms with high synchronicity.     

When machines read the news: Using automated text analytics to quantify high frequency news-implied market reactions

We examine high-frequency market reactions to an intraday stock-specific news flow. Using unique pre-processed data from an automated news analytics tool based on linguistic pattern recognition we exploit information on the indicated relevance, novelty and direction of company-specific news. Employing a high-frequency VAR model based on 20 s data of a cross-section of stocks traded at the London Stock Exchange we find distinct responses in returns, volatility, trading volumes and bid-ask spreads due to news arrivals. We show that a classification of news according to indicated relevance is crucial to filter out noise and to identify significant effects. Moreover, sentiment indicators have predictability for future price trends though the profitability of news-implied trading is deteriorated by increased bid-ask spreads.     

Order submission behaviors and opening price behaviors: evidence from an emerging market

Recent studies document that mutual funds demonstrate an overnight information advantage over foreign investors in Taiwan, a fast emerging market. However, this inequality contradicts the documented foreign investors’ growing market dominance and information advantage. Motivated by the inconsistency, we apply intraday data to examine the linkage between investors’ order submission behaviors and the opening price behaviors of the top net-trade stocks of professional institutional investors. We find that mutual funds exhibit a more persistent and aggressive trading pattern than foreign investors. The order submission behavior of aggressive individuals, following closely mutual funds’ trades, mainly drives the observed informational differences.     

企业关联、信息透明度与股价特征

由于声誉和私下沟通机制的存在,关系型交易降低了交易双方对高质量公开信息的需求,并且关系型资产的专用性,也提高了外界通过市场信息对交易行为进行类比解读的成本。因此,依赖关系进行交易的上市公司的股价中包含的公司特有信息将减少,体现为更高的股价同步性和较高的大涨或大跌风险。通过对我国2004年至2007年间首发上市的151家民营企业上市后三年股价特征的考察,本文提供了支持上述推测的经验证据。本文的研究结果为企业间关系如何影响股价特征这一研究领域提供了新的视角和经验证据。     

Realizing the volatility impacts of sovereign credit ratings information on equity and currency markets: Evidence from the Asian Financial Crisis

We examine the effects of different types of sovereign rating announcements on realized stock and currency market volatilities and cross-asset correlations around periods of financial crises. Using intraday market data and sovereign ratings data for nine sample countries in the Asia-Pacific region over 1997–2001, we find that currency and stock markets react somewhat heterogeneously to various rating announcements and that stock markets are more responsive to rating news than currency markets. We find new evidence that ratings events have significant and asymmetric impacts on intraday market data and that national market attributes influence rating impacts during financial crises.