Intraday time-series momentum: Evidence from China

This study conducts an investigation of intraday time-series momentum across four Chinese commodity futures contracts: copper, steel, soybean, and soybean meal. Our results indicate that the first half-hour return positively predicts the last half-hour return across all four futures. Furthermore, in metals markets, we find that first trading sessions with high volume or volatility are associated with the strongest intraday time-series momentum dynamics. Based on this, we propose an intraday momentum informed trading strategy that earns a return in excess of standard always long and buy-and-hold benchmarks.     

The Intraday Pattern of Information Asymmetry,Spread, and Depth: Evidence from the NYSE

Studies suggest that investment flows, liquidity imbalances, and institutional trading may create intraday trading patterns and opportunities for investors to time their trades to reduce transaction costs. Motivated by these studies, we divide each trading day into 13 half‐hour trading intervals and measure information asymmetry from price changes, trade sizes, and trade directions. We find that information asymmetry starts high in the morning, drops continuously until it reaches a midday low during Interval 7, rises to a midday high during Interval 10, and drops continuously after. In contrast, neither the spread nor the depth exhibit similar midday extreme values. Essentially, we identify a 90‐min window in the afternoon when net valuable information arrives to the market in high frequency while liquidity is stable, and that may be an opportunity for some investors to time their trades. In addition, we show that market makers employ dynamic strategies that change the spread, the depth, or both to manage information asymmetry. This is particularly evident during the last three trading intervals, where the significant drop in information asymmetry is countered primarily by a significant increase in the depth while the spread is almost constant.     

Volatility,global information,and market conditions: a study in futures markets

This study examined the behavior of return volatility in relation to the timing of information flow under different market conditions influenced by trading volume and market depth. We emphasized information flow during trading and nontrading periods that may represent domestic and offshore information in the global trading of currencies. Test results show that volatility was negatively related to market depth; that is, deeper markets had relatively less return volatility. Additionally, the effect that market depth had on volatility was superseded by information within trading volume. Test results focusing on the timing of information flow reveal that in low‐volume markets, the volatility of nontrading‐period returns exceeded the volatility of trading‐period returns. However, when trading volume was high, this pattern was reversed and conformed to the observations of earlier articles. Our findings proved to be robust across time, different currency markets, and different measures of return volatility. We also observed a trend toward greater integration between foreign and U.S. financial markets; the U.S. market increasingly emphasized information from nontrading periods to supplement information arriving during trading periods. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21:173–196, 2001     

Intraday return predictability,portfolio maximisation,and hedging

We examine whether intraday Chinese return predictability is linked to optimal portfolio holding and hedging. We find that: (1) S&P500 futures returns only predict Chinese spot market returns in up to 5-minute of trading with predictability disappearing at higher frequencies of trade; (2) the portfolio weight is maximised at the 5-minute trading frequency, when predictability is the strongest; and (3) when predictability is the strongest, significantly less shorting of the futures is required to minimise risk when a long position is taken in the Chinese market.     

Intraday volatility in the bond,foreign exchange,and stock index futures markets

Intraday volatility for the Eurodollar, the Euro/dollar foreign exchange rate, and the E‐mini S&P 500 futures contracts traded on a continuous 23‐hour schedule on the Chicago Mercantile Exchange Globex electronic platform is studied. Volatility transmission in a single market across different regions is mainly explained by intraregion volatility (heat waves); interregion volatility (meteor showers) plays a secondary role. The joint impact of liquidity variables such as volume and open interest on volatility is also analyzed. Volume tends to increase volatility, but open interest does not affect it. The results are explained by the type of trading venue. Unlike floor‐based trading systems, in electronic markets open interest does not seem to provide additional information on market liquidity and its relation to volatility beyond any information contributed by volume. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:313– 334, 2008     

Intraday price formation and bid–ask spread components: A new approach using a cross‐market model

This study examines the intraday formation process of transaction prices and bid–ask spreads in the KOSPI 200 futures market. By extending the structural model of Madhavan, A., Richardson, M., and Roomans, M. ( 1997 ), we develop a unique cross‐market model that can decompose spread components and explain intraday price formation for the futures market by using the order flow information from the KOSPI 200 options market, which is a market that is closely related to the futures market as well as considered to be one of the most remarkable options markets in the world. The empirical results indicate that the model‐implied spread and the permanent component of the spread that results from informed trading tend to be underestimated without the inclusion of options market information. Further, the results imply that trades of in‐the‐money options, which have high delta values, generally incur a more adverse information cost component (the permanent spread component) of the futures market than those of out‐of‐the‐money options, which have relatively low delta values. Finally, we find that the adverse information cost component that is estimated from the cross‐market model exhibits a nearly U‐shaped intraday pattern; however, it sharply decreases at the end of the trading day. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark     

Intraday behavior of market depth in a competitive dealer market: A note

This study is the first to examine the intraday behavior of quoted depth in a competitive dealer market. In sharp contrast to previous research that focuses on specialist markets, quoted depth is lowest at the open of trading, plateaus around the middle of the day, and then dramatically increases in the final hours of trading, peaking at the close. This peak in quoted depth coincides with a narrowing in bid‐ask spreads, and is contrary to intraday patterns documented for specialist markets. The authors conclude that the increase in depth and narrowing of bid‐ask spreads at the close is driven by dealers rebalancing inventories to achieve target inventory levels in a competitive market. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:294–307, 2008     

The temporal pattern of trading rule returns and exchange rate intervention: intervention does not generate technical trading profits

This paper characterizes the temporal pattern of trading rule returns and official intervention for Australian, German, Swiss and U.S. data to investigate whether intervention generates technical trading rule profits. The data reject the hypothesis that intervention generates inefficiencies from which technical rules profit. In particular, high frequency data show that abnormally high trading rule returns precede German, Swiss and U.S. intervention. Australian intervention precedes high trading rule returns, but trading/intervention patterns make it implausible that intervention actually generates those returns. Rather, intervention responds to exchange rate trends from which trading rules have recently profited.     

Buy and buy again: The impact of unique reference points on (re)purchase decisions

Behavioral finance has uncovered that investor engage emotionally when trading. We investigate how three psychological factors influence purchase and repurchase decisions: representativeness, the influence of prior gains, and reference points. Using trading data of 7200 UK investors we find that purchase decisions are influenced by representative heuristic and repurchase decisions are influenced by both representative heuristic and prior profitability. Further survival analysis showed that investors use the prior selling price as a unique reference point. Investors are more likely to repurchase a stock when trading above its reference point, but more likely to initiate the repurchase when trading below. Investors are influenced by previous experience and engage learning behavior when they seek to reinforce past success. As reference points are inferred but infrequently researched, this research adds to the literature and provides important and robust results for those engaging with financial planning clients.     

Intraday Liquidity Provision by Trader Types in a Limit Order Market: Evidence from Taiwan Index Futures

This study examines the dynamic liquidity provision process by institutional and individual traders in the Taiwan index futures market, which is a pure limit order market. The empirical analysis obtains several interesting empirical results. We find that trader type affects liquidity provision in a number of interesting ways. First, although institutional traders use more limit orders than market orders, foreign institution (individual) traders use a relatively higher percentage of market (limit) orders in the early trading session and then switch to more limit (market) orders for the remainder of the day until close to the end of the trading day. Second, net limit order submissions by both institutional and individual traders are positively related to one‐period lagged transitory volatility and negatively related to informational volatility. Third, net limit order submissions by institutional traders are positively related to one‐period lagged spread. Finally, both the state of limit order book and order size significantly influence all types of traders’ strategy on submission of limit order versus market order during the intraday trading session. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 34:145–172, 2014     

基于高频数据的波动率与成交量动态关系研究

传统的价量分析都是从低频数据来分析股票市场上波动率、收益率与成交量之间的关系。基于高频数据,利用分位数回归并结合高频数据的波动率估计方法对高频数据中所呈现出的价量关系进行研究,并分析了股票价格跳跃过程所带来的跳跃方差与成交量之间的关系。实证分析表明：指数及个股收益率与成交量之间的关系并不显著;波动率、跳跃与成交量之间存在着显著相关的关系,个股的波动率与成交量之间的关系显著并呈现出正向相关关系,而指数的波动率与成交量之间呈现出一种负向关系,并且关系比较微弱;个股的成交量的改变会导致股票价格的跳跃方差的减小,而指数的成交量的改变则使得指数的跳跃方差增大。     

Adverse selection costs: A study on the Chinese stock market

Employing a bid-ask spread model applicable for order-driven market, this paper decomposes the bid-ask spread of Shanghai Stock Exchange (SSE) into adverse selection and order processing cost components to investigate the relationship between the components of bid-ask spread and order size. It examines the impacts of firm size, price, trading activeness, and volatility on adverse selection cost, and explores the intraday pattern of adverse selection costs and informative trading. Results show that adverse selection costs increase with trade scale. However, order processing costs do not exhibit the economies of scale. Stocks of large firms, which are high-priced and actively traded, have relatively low adverse selection costs; stocks with large volatility have relatively high adverse selection costs. Moreover, this paper finds that the adverse selection component of bid-ask spread in the Chinese stock market exhibits an L-shaped intraday pattern, which implies that heavy trading around market opening is dominated by informative trading, while heavy trading near market closing is dominated by liquidity trading.     

Expiration‐day effects—An Asian twist

This study examines the intraday trading activities of index stocks on the common expiration day of index derivatives. In Hong Kong, index futures and index options use an Asian‐style settlement procedure. All contracts are settled against the estimated average settlement price, an arithmetic average of the underlying cash index taken every five minutes on the expiration day. Trading volume and total trade count on the expiration day are both found to be higher than normal. Most important, trading intensifies in terms of volume and frequency close to the five‐minute time marks. The study does not find significant price reversal and price compression patterns. Although significant order imbalance pattern is found on some expiration days, the results show no association between order imbalance pattern and the next‐day return. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 28:430–450, 2009     

棉花生产量、贸易量变动与国际棉价波动的实证分析——以棉花主产国和贸易国为例

本文运用葛兰杰因果关系检验法对国际市场棉花价格与世界主要棉花生产国的棉花生产量和主要棉花贸易国①的棉花贸易量之间的因果关系进行了检验,并对存在因果关系的变量进行了回归分析,研究结果表明:国际市场棉花价格与世界主要棉花生产国的棉花生产量之间存在反向变动关系,而与世界主要棉花贸易国的棉花贸易量之间的关系不确定。对棉花进口需求量较大的国家而言,其在棉花的国际市场上并不遵循一般意义上的定价规律。     

Price Discovery and Trading after Hours: New Evidence from the World’s Largest Carbon Exchange

We investigate the impact of after-hours trading on magnitude and timing of price discovery over the close-to-close period on the world’s largest carbon trading platform, the European Climate Exchange (ECX). Low-volume trading in carbon financial instruments can lead to relatively high levels of price discovery, but the generated pricing has low efficiency levels. This is associated with high levels of informed trades and low levels of liquidity trades. Our results show higher trading volume per minute and greater price efficiency for after hours when compared with regular trading hours. As a result of a higher proportion of informed trades, adverse selection costs for trades after hours are significantly larger than those for trades during the regular trading day.     

基于产品异质的中国汽车出口影响因素实证研究

在引力模型分析框架下,结合消费者对异质车型的需求特征,本文研究中国向不同贸易伙伴国出口汽车规模差异化的影响因素。研究结果表明,进口国的经济发展水平不仅通过改变居民购买力影响从中国进口的汽车规模,还通过需求偏好的调整影响中国汽车出口规模;总体而言,随着贸易伙伴国人均GDP的增长,中国汽车出口规模呈先增加后减少的变动规律。对贸易伙伴国的市场定位也影响到中国汽车出口规模的差异,中国对不同贸易伙伴国的汽车出口规模与出口汽车的平均价格呈反向变动关系。     

我国沪深股市量价关系实证分析——基于分位数回归估计

文章应用分位数回归考察我国沪深股市成交量和收益率之间的关系。实证分析的结果表明：沪深两市的成交量与收益率呈正相关关系,成交量的增加往往伴随着股票价格上涨,而成交量的萎缩则伴随着股票价格下跌;然而在左尾处这种关系受到了扭曲,此时成交量与收益率呈负相关,成交量的增加反而引起股票价格下降。进一步的分析发现,我国股市的涨跌停板制度是引起这种现象的主要原因。     

The effect of futures trading on the distribution of spot index returns: Implications for CVaR in the Spanish market

There is extensive empirical research on the potential destabilizing effects of futures trading activity on spot market volatility. Rather than just focusing on spot volatility, the authors deal with the contemporaneous relationship between futures trading volume and the overall probability distribution of spot market returns. Empirical evidence using intraday data from the Spanish stock index futures market over the period 2000–2002 is provided. Their findings reveal that the density function of spot return conditional to spot volume depends on unexpected futures trading volume.     

沪市股票量价关系研究——基于E-G两步法和脉冲响应函数

本文选取股权分置改革后的数据,通过协整、误差修正模型、Granger因果检验和脉冲响应函数对股价和交易量之间的关系进行了全面深入的研究,得出股价对交易量的影响大于交易量对股价的影响。     

Volatility index and the return–volatility relation: Intraday evidence from Chinese options market

We use unique intraday data to investigate the validity of the Shanghai Stock Exchange's the revised Chinese implied volatility index (iVX). We find that iVX is an effective barometer for the underlying exchange-traded fund (ETF) market and can be used as a valid “fear index” when there is anxiety over large drops. Furthermore, we use robust quantile regressions and document the asymmetric relation between returns and iVX changes. We also show that behavioral theories offer better explanations for this asymmetric relation than do fundamental theories. More important, we examine the role of iVX in selecting trading strategies.