The role of trades in price convergence: A study of dual-listed Canadian stocks

We examine the role of trades in restoring price parity for equities trading in multiple markets. Using a sample of stocks trading on the Toronto Stock Exchange and on the NYSE, AMEX or NASDAQ, we contrast price convergence when market makers (a) observe only lagged quotes from both markets and (b) also observe local order flow. Traditional error correction model estimates show that prices in the two markets adjust towards parity in response to quoted price discrepancies, meaning that observation of the cross-market quote helps restore parity. Including order flow in an augmented error correction model, we find that incremental price convergence occurs when trades are routed to the market with the better price, and the importance of quotes in the price convergence process is reduced. Cross-sectional analysis reveals that the importance of order flow in each market is decreasing in firm size and increasing in measures of liquidity. Our findings point to an important, and hitherto unexamined, role for trades in promoting inter-market price convergence.     

Trading and Pricing in Upstairs and Downstairs Stock Markets

We provide empirical evidence on the economic benefits of negotiatingtrades in the upstairs trading room of brokerage firms relativeto the downstairs market. Using Helsinki Stock Exchange data,we find that upstairs trades tend to have lower informationcontent and lower price impacts than downstairs trades. Thisis consistent with the hypotheses that the upstairs market isbetter at pricing uninformed liquidity trades and that upstairsbrokers can give better prices to their customers if they knowthe unexpressed demands of other customers. We find that theseeconomic benefits depend on price discovery occurring in thedownstairs market.     

新华富时A50股指期货与我国A股市场价格间关系：基于高频数据的研究

利用五分钟高频数据,本文对在新加坡交易所上市的新华富时A50股指期货与我国沪深300股指现货和期货之间的价格变化关系进行了实证分析。主要结果显示：从目前看,国内的沪深300指数现货和期货市场在价格发现和信息传递方面居于主导地位。A50股指期货价格的变动对国内股指现货和期货市场价格的变动并不存在显著的领先和引导作用。     

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.     

Cross-Border Listings and Price Discovery: Evidence from U.S.-Listed Canadian Stocks

We examine the contribution of cross-listings to price discovery for a sample of Canadian stocks listed on both the Toronto Stock Exchange (TSE) and a U.S. exchange. We find that prices on the TSE and U.S. exchange are cointegrated and mutually adjusting. The U.S. share of price discovery ranges from 0.2 percent to 98.2 percent, with an average of 38.1 percent. The U.S. share is directly related to the U.S. share of trading and to the ratio of proportions of informative trades on the U.S. exchange and the TSE, and inversely related to the ratio of bid-ask spreads.     

American futures options arbitrage: evidence from the Nikkei 225 options market

Previous studies have examined the profitability of European index options arbitrage. This paper adds to the literature by investigating the arbitrage profitability of American index options—the Nikkei 225 index futures options traded on the Singapore Stock Exchange (SGX). Using the real-time bid–ask prices, we find evidence of profitable arbitrage opportunities, while the frequency of observations violating no-arbitrage bounds and the magnitude of arbitrage profits decrease with the level of transaction costs. Our results have implications for the analysis of American options market efficiency. Failure to use bid–ask prices may lead to biased conclusions.     

News announcements and price discovery in foreign exchange spot and futures markets

This paper studies competition in price discovery between spot and futures rates for the EUR–USD and JPY–USD markets around scheduled macroeconomic announcements. Using both the information shares approach and the common factor component weight approach for futures prices from the Chicago Mercantile Exchange (CME), as well as deal prices from spot trading on the Electronic Broking Services (EBS), we gauge how foreign exchange spot and futures markets respond to news surprises. The results show that the spot rates provide more price discovery than do the CME futures rates overall; however, the contribution of the futures rates to price discovery increases in the time surrounding macroeconomic announcement releases.     

Determining the contributions to price discovery for Chinese cross-listed stocks

We study the price-discovery process for a number of Chinese cross-listed stocks. For the stocks cross-listed on the New York Stock Exchange (NYSE) and the Stock Exchange of Hong Kong (SEHK), we find that the stock prices of these two exchanges are cointegrated and mutually adjusting, and that the SEHK makes more contributions than the NYSE to the price-discovery process. The SEHK contributions are 81.6% and 89.4%, computed from Gonzalo and Granger [Gonzalo, J., Granger, C., 1995. Estimation of common long-memory components in cointegrated systems. Journal of Business and Economics Statistics 13, 27–35] permanent–transitory (PT) and Hasbrouck [Hasbrouck, J., 1995. One security, many markets: Determining the contributions to price discovery. Journal of Finance 50, 1175–1119] information share (IS) models respectively.     

Trader Anonymity, Price Formation and Liquidity

Using data from the Frankfurt Stock Exchange we analyze price formationand liquidity in a non-anonymous environment with similarities to thefloor of the NYSE. Our main hypothesis is that the non-anonymity allows the specialist to assess the probability that atrader trades on the basis of private information. He uses this knowledgeto price discriminate. This can be achieved by quoting a large spread and granting price improvement to traders deemed uninformed.Consistent with our hypothesis we find that price improvement reflects loweradverse selection costs but does not lead to a reduction in the specialist's profit. Further, the quote adjustmentfollowing transactions at the quoted bid or ask price is more pronounced than the quote adjustment aftertransactions at prices inside the spread. Our results indicate that anonymity comes at the cost ofhigher adverse selection risk.     

Macroeconomic news announcements and price discovery: Evidence from Canadian–U.S. cross-listed firms

This study employs macroeconomic news announcements as a proxy for new information arrivals and examines their impact on price discovery. We compare the price discovery of 38 Canadian companies listed on the Toronto Stock Exchange (TSX) and the New York Stock Exchange (NYSE) for the period 2004–2011. First, we observe that price discovery shifts significantly during macroeconomic news announcement days. Second, the NYSE becomes more important in terms of price discovery, regardless of the origin of the news. Third, we examine the relation between price discovery and market microstructure variables. After controlling for liquidity shocks, we find that the impact of news announcements persists. Intraday analyses of price discovery on periods surrounding news releases further support these findings. Overall, our findings suggest that there is a difference in information-processing capability of the two markets, with the U.S. market being better at processing information than the Canadian market during macroeconomic news announcements.     

Ex-dividend date stock behavior and the clientele effect: Evidence around a tax reduction

This study analyzes the behavior of stock prices around the ex-dividend date focusing on the effects of a major tax reduction. Using the 40 most heavily traded shares on the Santiago Stock Exchange, the study evaluates price drop ratios using various measures of ex-dividend day prices. The findings indicate that the dividend tax reduction has an effect on the price drop ratio; this result is consistent with the clientele effect hypothesis.     

A Tale of Two Index Futures: The Intraday Price Discovery and Volatility Transmission Processes Between the China Financial Futures Exchange and the Singapore Exchange

This is the first study to examine the intraday price discovery and volatility transmission processes between the Singapore Exchange and the China Financial Futures Exchange. Using one- and five-minute high-frequency data from May to November 2011, the authors find that the Chinese Securities Index 300 index futures dominate Singapore's A50 index futures in both intraday price discovery and intraday volatility transmission. However, A50 futures contracts also make a substantial contribution (26-37 percent) to the price discovery process. These results have important implications for both traders and policymakers.     

中国饲料工业期货的价格发现实证研究

本文借助向量自回归模型、协整检验、误差修正模型、方差分解、脉冲响应函数等方法,以中国唯一的饲料工业期货———大连商品交易所豆粕期货品种为例,研究了期货价格与现货价格之间的动态关系,定量刻画了期货市场在价格发现中的作用。研究结果显示:豆粕期货价格与现货价格存在相互引导关系,并且期货与现货价格之间存在长期均衡关系,对豆粕期货来说,期货市场在价格发现功能中起到主导作用。     

The effects of randomizing the opening time on the performance of a stock market under stress

To tackle challenges from derivatives trading and illiquidity, reduce manipulation and improve price discovery, many exchanges have started opening at random times. We investigate how randomization has affected the performance of the Tel Aviv Stock Exchange at trade opening and at the expiration of stock-index derivatives. Randomization has improved price discovery and reduced excess volatility and price distortion, especially on expiration dates. Although preopening prices do not converge to full information values, post-randomization, opening prices on expiration days are at least as accurate as on other days. Spot market trading systems significantly impact the effects of derivatives on spot prices.     

Unchecked manipulations,price–volume relationship and market efficiency: Evidence from emerging markets

This paper investigates how unchecked manipulations could cause frequent trade-induced manipulations and weak-form market inefficiency in South Asian stock markets [Bombay Stock Exchange (BSE), Dhaka Stock Exchange (DSE) and Karachi Stock Exchange (KSE)]. Specifically, the paper analyses the price–volume relationship as one of the many cases of market inefficiency. By employing various econometric tests, this paper first provides conclusive evidence of market inefficiency in these markets. It then extracts evidence of manipulation periods from legal cases and analyses price–volume relationship during these periods. The paper finds that there exists market-wide trading-induced manipulations, where excessive buying and selling causes prices to inflate artificially before crashing down. The paper concludes that South-Asian markets are inefficient in the weak-form.     

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%.     

LONG-TERM AND SHORT-TERM CAUSAL RELATIONS BETWEEN DIVIDENDS AND STOCK PRICES: A TEST OF LINTNER'S DIVIDEND MODEL AND THE PRESENT VALUE MODEL OF STOCK PRICES

In this paper we test the joint implications for the intertemporal behavior of stock prices and dividends expressed in the Lintner dividend model and the present value model of stock prices. We use macro data corresponding to quarterly S&P 500 index prices and dividends for January 1930–December 1990. The methodology used is the error correction model (ECM), which allows testing for long-term and short-term relations between the two variables. Results from the ECM indicate that a long-term equilibrium relation exists between dividends and stock prices, and that an error correction mechanism is at work when a disequilibrium exits between the two variables. Stock prices and dividends also influence each other in the short term. Finally, the results show that dividends and stock prices exhibit a contemporaneous causal relation.     

CO-MOVEMENTS OF THE PRIME RATE,CD RATE,AND THE S&P FINANCIAL STOCK INDEX

We examine the relation among the prime lending rate, certificate of deposit rate, and the S&P Financial Stock Index using cointegration and error correction modeling techniques. We find that these three financial time series share a long-run cointegrating relation. Subsequent vector autoregressive error correction results imply that the movement of these stock prices toward eliminating disequilibrium is about 1 percent within the first month. Impulse response functions indicate that changes in the deposit rate have a larger effect on changes in the price index of financial service sector stocks than do changes in the lending rate.     

Intraday Price Discovery in the DJIA Index Markets

Abstract:  This paper explores the dynamics of price discovery between the Dow Jones Industrial Average (DJIA) index and its three derivative products: the DIAMOND exchange-traded fund (ETF), the floor-traded regular futures, and the electronically traded mini futures. Even though the American Stock Exchange is the primary listing exchange for the ETF, the analysis indicates that the electronically traded ETF on the Archipelago (ArcaEx) electronic communications network dominates the price discovery process for DIAMOND shares. The E-mini futures contribute the most to price discovery, followed by the ArcaEx DIAMOND. The DJIA index and regular futures contribute least to price discovery. The analysis is repeated using the derivatives of the S&P 500 index as a robustness check. The results indicate that multi-market trading ensures greater pricing efficiency. Informed traders favor electronic trading because of immediate and anonymous trade execution.