A transactions data analysis of intraday betas

Using a sample of 27 stocks from the Dow Jones Industrial Average for the years 1986–1992, we examine the equality of beta for individual firms during the trading day. Both alphas and betas are found to differ through the trading day. Evidence suggests these changes are systematic for individual stocks. Using the midday beta as the base, the number of rejections of beta equality follow a U-shaped pattern through the trading day, indicating the differing distributions (U-shaped patterns) for intraday returns are reflected in similar changes in beta. These results have implications for further developing and testing market microstructure models.     

Estimating betas from nonsynchronous data

Nonsynchronous trading of securities introduces into the market model a potentially serious econometric problem of errors in variables. In this paper properties of the observed market model and associated ordinary least squares estimators are developed in detail. In addition, computationally convenient, consistent estimators for parameters of the market model are calculated and then applied to daily returns of securities listed in the NYSE and ASE.     

Are trading bans effective? Exchange regulation and corporate insider transactions around earnings announcements

There is considerable controversy on the role of corporate insider trading in the financial markets. However, there appears to be a consensus view that some form of regulation concerning their activities should be imposed. One such constraint involves a trading ban in periods when corporate insiders are expected to be advantaged vis-à-vis the information flow. This paper directly tests whether constraints of this kind are effective in curtailing insider activity through a study of the trading characteristics of UK company directors. The London Stock Exchange Model Code (1977) imposes a two-month close period prior to company earnings announcements. We find that although the close period affects the timing of director trades, it is unable to affect their performance or distribution. Directors consistently earn abnormal returns irrespective of the period in which they trade. They tend to buy after abnormally bad earnings news and sell after abnormally good earnings news. Moreover, there are systematic differences in the trading patterns of directors surrounding interim and final earnings announcements. It appears that many corporate insiders have private information and exploit this in their trading activities. As a result, one can conclude that trading bans do not impose significant opportunity costs on the trading of corporate insiders.     

Informed trading and the price impact of block trades: A high frequency trading analysis

Using high frequency data from the London Stock Exchange (LSE), we investigate the relationship between informed trading and the price impact of block trades on intraday and inter-day basis. Price impact of block trades is stronger during the first hour of trading; this is consistent with the hypothesis that information accumulates overnight during non-trading hours. Furthermore, private information is gradually incorporated into prices despite heightened trading frequency. Evidence suggests that informed traders exploit superior information across trading days, and stocks with lower transparency exhibit stronger information diffusion effects when traded in blocks, thus informed block trading facilitates price discovery.     

A probabilistic analysis of the trading the line strategy

We provide analytic models for which the appropriate statistics of the trading the line strategy, N _h , can be derived in closed form. In particular, we provide closed-form expressions concerning the average duration of the open position, E(N _h ), the variance of the open duration, Var(N _h ), the average of the stopped log price, E(S _{N h} ), the variance of the stopped log price, Var(S _{N h} ), the correlation, Corr(N _h , S _{N h} ), and the Laplace transform, E(e^{?s N _h} ). These results are obtained, in discrete time settings, for binomial and other price scenarios. Furthermore, when analytic results are not possible, such as the case of a normal distribution for log returns, we show by simulation that our general conclusions still hold. Using these statistics we point out some of the subtle features of the trailing stops strategy.     

Dividend valuation,trading and transactions costs: the 1997 partial abolition of dividend tax credit repayments

Although UK resident tax-exempt shareholders lost the right to repayment of tax credits on dividends paid by UK resident companies in July 1997, they could continue to receive tax credit repayments in respect of dividends received from Irish resident companies until December 1998. In July 1997 the rate of tax credit on Irish companies' dividends was 21%, and this was reduced to 11% in December 1997. We obtain insights into the incentives and behaviour of UK tax-exempt investors in response to these changes in the relative ‘tax attractiveness’ of investments in Irish resident companies. We find that only at its highest rate, 21%, was the level of dividend tax credit on Irish companies' dividends sufficient to induce changes in UK tax-exempt shareholders' investment strategies; and that the propensity for dividend capture by tax-exempt investors is heightened when the dividend tax credit yield is of the order of 0.8 or more and dividend yield is of the order of 2.6% or more.     

Multimarket trading and liquidity: a transaction data analysis of Canada–US interlistings

We use transaction data for Toronto Stock Exchange (TSE) listed stocks to examine the impact on trading costs of the decision to interlist on a US exchange. We measure trading costs using both ‘posted’ bid-ask spreads and ‘effective’ bid-ask spreads that measure actual transaction prices relative to standing bid-ask quotes. After controlling for price level, trade size and trading volume effects, we find that overall posted and effective spreads in the domestic (TSE) market decrease subsequent to the interlisting. However, the decrease in trading costs is concentrated in those TSE stocks that experience a significant shift of total trading volume (TSE and US) to the US exchange after listing. We interpret this result in the context of theories of multimarket trading as a competitive response by TSE market makers to the additional presence of US market makers.     

The effect of large block transactions on security prices: A cross-sectional analysis

This paper documents the effects of large (block) transactions on the prices of common stocks traded on the New York Stock Exchange. We examine whether mean temporary and permanent price effects associated with large and small transactions differ and whether the price effects vary cross-sectionally according to the size of the block. Alternative definitions of block size are investigated – percentage of the equity traded, block volume in relation to normal trading volume, and dollar value of the block. The results suggest that price effects are predominantly temporary for seller-initiated transactions and permanent for buyer-initiated transactions.     

Intraday data and hedging efficiency in interest spread trading

Three government bond futures contracts and their respective 3-month interest rate futures contracts traded on LIFFE are examined. The data period covers three years of observations, January 1994-December 1996, sampled at half-hourly intervals. Borrowing from the calculation of minimum variance hedge ratios, half-hourly minimum variance spread ratios (the ratio of one contract to another, which provides the minimum variance) are estimated for the above contracts. The hypothesis under examination is whether there is any value-added in estimating minimum spread ratios based on intraday data. Three spread ratios are defined: two ratios calculated from daily data and a third one based on intraday data. Evidence tends to indicate that spread ratios calculated from intraday data exhibit a substantially lower variance than the other two spread ratio speciications. Thus, it is shown that intraday data, in comparison with daily data, allow for lower hedging costs. Moreover, the use of intraday-based spread ratios might be a contributing factor to reducing the maximum cumulative loss potentially incurred while holding a spread position.     

Informed trading in the options market surrounding data breaches

This study investigated whether there is informed trading that takes advantage of data breach events. By analyzing the transactions in the options market, we conjectured that there are two distinct informed trading patterns: one that begins approximately 4 months prior and another that begins 8–12 months before the corporate data breach announcements. This is supported by evidence of higher trading volume and open interest for put options, a higher put-to-call volume ratio, a higher put-to-call open interest ratio, and lower spreads prior to such announcements. We also examined the stock reactions following data breach announcements and found significantly negative cumulative abnormal returns of −0.35% within one day. Moreover, a cross-sectional analysis showed that put-call ratios have predictive power for stock returns. Finally, additional evidence, such as trading strategies in the stock and options markets, is provided.     

Board connections and M&A transactions

We examine M&A transactions between firms with current board connections and find that acquirers obtain higher announcement returns in transactions with a first-degree connection where the acquirer and the target share a common director. Acquirer returns are also higher in transactions with a second-degree connection where one acquirer director and one target director serve on the same third board. Our results suggest that first-degree connections benefit acquirers with lower takeover premiums while second-degree connections benefit acquirers with greater value creation. Overall, we provide new evidence that board connectedness plays important roles in corporate investments and leads to greater value creation.     

日元套利交易的影响及未来走势分析

日元套利交易是利用日元与其他高息货币间利率差来获得利润的交易方式,一般表现为投资者从金融机构借入日元,并在外汇市场中卖出,同时买入高利率货币,从中赚取利率差。一旦这一交易被大多数市场参与者认同,外汇市场将会出现日元被抛出、高息货币被抢购的局面,最终导致日元不断贬值,而高息货币则持续升值,这使投资者获取了日元与高息货币间利差和持有高息货币升值两方面的收益。     

与离岸公司交易中的风险分析

由于离岸公司的特殊性,与离岸公司合作就可能发生种种风险,极易出现离岸公司欺诈或因其他纠纷产生责任后无从追究的情况。如何才能防范可能产生的风险,请看中国信保专家的分析.     

Entry, exit and trading profits: A look at the trading strategies of a proprietary trading team

We examine the behavior of a 15 strong proprietary stock trading team and show how consistent intraday trading profits were generated. The team, who worked for a large US direct access trading firm, executed over 96 thousand trades in 3 months in 2000. Profitable intraday trading occurred in an anonymous dealer capacity, on both long and short positions, especially when volume and price volatility were higher. The traders rapidly entered long (short) positions when the number of dealers and size become greater on the bid (offer) side of the spread. Profits were taken early against the trend.     

Price limit performance: evidence from transactions data and the limit order book

In recent years, organized stock exchanges with daily price limits adopted wider limits as narrower limits were criticized for jeopardizing market efficiency. This study examines the impact of a wide price limit on price discovery processes, using data from the Kuala Lumpur Stock Exchange. Specifically, examined is the impact of daily price limits on (i) information asymmetry; (ii) arrival rates of informed traders; and (iii) order imbalance. Using both trade-to-trade transaction data and the limit order book, we compile evidence that price limits do not improve information asymmetry, delays the arrival of informed traders, and exacerbates order imbalance. These results suggest that price limits on individual securities do not improve price discovery processes but impose serious costs even when the limit band is as wide as 30%.     

Technical analysis: Novel insights on contrarian trading

We analyze the predictive power of technical analysis with a novel data set based on news sentiment that allows to systematically examine a set of technical analysis indicators over an extensive time period. We do not find much statistically significant relationships with the examined indicators and future asset returns, and we almost do not find any alphas in trading strategies based on technical analysis sentiment. We find evidence for a contrarian-based hypothesis: past market returns and technical analysis sentiment are able to predict future technical analysis sentiment with a negative relationship.