全球股票市场交易费用变动趋势研究

各国证券交易所为提高市场质量和增强国际竞争力,进行了股票市场交易费用结构与费率的频繁调整。本文首先总结了美国、英国、日本、香港等国家和地区交易所现行交易费用的结构特征,并以纽约证券交易所和伦敦证券交易所为案例估算了交易费率的调整比率。其次,本文运用2002年至2010年期间主要海外证券交易所的财务数据和市场数据,分析交易费用变动与交易所经营业绩的互动关系。最后,我们对欧美市场交易费用的大幅下调进行了成因分析,并探讨我国证券交易所内外部环境及经营特点与海外市场存在的差异,提出相关启示和思考。     

Optimal transaction filters under transitory trading opportunities: Theory and empirical illustration

If transitory profitable trading opportunities exist, transaction filters mitigate trading costs. We use a dynamic programming framework to design an optimal filter that maximizes after-cost expected returns. The filter size depends crucially on the degree of persistence of trading opportunities, transaction cost, and standard deviation of shocks. For daily dollar–yen exchange trading, the optimal filter can be economically significantly different from a naïve filter equal to the transaction cost. The candidate trading strategies generate positive returns that disappear after transaction costs. However, when the optimal filter is used, returns after costs remain positive and higher than for naïve filters.     

Liquidity, Transaction Costs, and Reintermediation in Electronic Markets

Relationships between trading cost, technology, and the nature of intermediation in the trading services industry are discussed. Electronic markets are linked to reductions in trading costs. Lower explicit costs are related to system development and operating costs. Electronic order book information is identified as a means of realizing implicit cost savings. The concept of liquidity management in electronic environments is introduced, and its potential is empirically illustrated. The empirical results suggest new roles for brokerage and exchange operations, and competition between the two. Competitive advantage with respect to the provision of liquidity management services is compared across types of intermediaries.     

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.     

Non-Linear Predictive Models for Intra-Day Foreign Exchange Trading

Artificial neural networks were used to search for non-linear relations in high- frequency foreign exchange time series. Three years (1985-7) tick-by-tick bid prices for the Swiss franc to the US dollar exchange rate were used in this study as training data to specify predictive models for intra-day trading, which was then tested on the same exchange rate time series in the following year (1988). A simple trading rule was adopted to evaluate the models, which showed statistically significant trading profit under moderate transaction costs. In contrast, a standard linear model did not produce profit with the same training and test data and under the same trading rule and transaction cost assumption. This provides evidence for the non-linear nature of the foreign exchange time series under study.     

Profit Multiplier in Covered Currency Trading with Leverage

Currency trading, fully hedged with forward contracts and propelled by leverage, is enunciated within a microstructure of trade in foreign exchange with real-time data from Reuters data banks, and verified with banks and exchange dealers, first without and then with transactions costs. It is shown that iterative trading operations compound net profits significantly, and the existing academic maxim on arbitrage is thus raised to a new height—both in terms of theory and practice.     

Liquidity costs: Screen-based trading versus open outcry

The results reported in this paper challenge the popular belief that screen-based trading offered lower liquidity costs than the open-outcry approach during its first year of side-by-side operation in the U.S. financial derivatives market. Using time and sales data from the Chicago Board of Trade (CBOT) market profile data series, effective bid-ask spreads are estimated on the basis of daily and intraday measures of the Thompson-Waller and Smith-Whaley estimators. We find liquidity costs on the screen-based system vary with time and the level of floor trading activity. In particular, a one-tick market is observed just before the opening of the Chicago trading floor (6:30 to 7:30 am). However, subsequent intraday spreads exhibit the familiar “reverse J-shaped pattern”—highest following the opening of floor trading, declining until afternoon, and then increasing until close. Meanwhile, daily spread estimates average almost a quarter-tick higher on the screen-based market relative to the one-tick spread commonly associated with open outcry. This relationship remained robust across sample time-series and conservative price-change specifications. Since the study was conducted, electronic trading has become the predominant exchange medium for financial derivatives at the CBOT, following the example set in Europe's traditional futures exchanges, e.g. France's Matif, Germany's Deutsche Bourse and the U.K.'s Liffe.     

Price reversal,transaction costs,and arbitrage profits in the real estate securities market

This paper studies the return reversals of exchange traded real estate securities using an arbitrage portfolio approach. Using the approach, we find that there exist significant return reversals in such securities. These return reversals could be exploited by arbitrage traders if trading costs can be ignored. However, the arbitrage profits disappear after deducting trading costs and taking into account the implicit cost of bid-ask spread. Thus, the real estate securities market is efficient at weekly intervals in the sense that one could not exploit the price reversals via some simple trading rules.     

Automated Versus Floor Trading: An Analysis of Execution Costs on the Paris and New York Exchanges

A global trend towards automated trading systems raises the important question of whether execution costs are, in fact, lower than on trading floors. This paper compares the trade execution costs of similar stocks in an automated trading structure (Paris Bourse) and a floor-based trading structure (NYSE). Results indicate that execution costs are higher in Paris than in New York after controlling for differences in adverse selection, relative tick size, and economic attributes across samples. These results suggest that the present form of the automated trading system may not be able to fully replicate the benefits of human intermediation on a trading floor.     

Dynamic Volatility Trading Strategies in the Currency Option Market

The conditional volatility of foreign exchange rates can be predicted using GARCH models or implied volatility extracted from currency options. This paper investigates whether these predictions are economically meaningful in trading strategies that are designed only to trade volatility risk. First, this article provides new evidence on the issue of information content of implied volatility and GARCH volatility in forecasting future variance. In an artificial world without transaction costs both delta-neutral and straddle trading stratgies lead to significant positive profits, regardless of which volatility prediction method is used. Specifically, the agent using the Implied Stochastic Volatility Regression method (ISVR) earns larger profits than the agent using the GARCH method. Second, it suggests that the currency options market is informationally efficient. After accounting for transaction costs, which are assumed to equal one percent of option prices, observed profits are not significantly differentfrom zero in most trading strategies. Finally, these strategies offered returns have higher Sharpe ratio and lower correlation with several major asset classes. Consequently, hedge funds and institutional investors who are seeking alternative “marketneutral” investment methods can use volatility trading to improvethe risk-return profile of their portfolio through diversification. This revised version was published online in November 2006 with corrections to the Cover Date.     

人民币对非美元货币直接交易的发展与展望

人民币对非美元货币直接交易的开展,改变了人民币对非美元货币的报价和平仓形式,为促进贸易投资便利、降低汇兑成本、推动人民币国际化进程起到了重要作用。文章在回顾人民币直接交易发展背景的基础上,归纳总结直接交易的发展模式,分析其开展的影响、意义,展望其未来的发展路径,并为人民币直接交易业务的发展提供可资借鉴的政策建议。     

Race to the center: competition for the Nikkei 225 futures trade

This paper examines the impact of changes in margin requirements on returns, transaction volume, and price volatility of the Nikkei 225 futures traded on the Osaka Securities Exchange (OSE) and the Singapore International Monetary Exchange (SIMEX). An increase in margin requirement on one exchange reduces its trading volume and shifts trade to the competing exchange. Both conditional price volatility and returns are not systematically affected by changes in margin requirements. The loss of OSE's market share of the Nikkei futures trade from 1990 to 1993 is partly due to the increased transactions costs (relative to SIMEX), including the margin requirement.     

Exchange rate risk and transactions costs: Evidence from bid-ask spreads

This paper develops a model of exchange rate bid-ask spreads which is used to examine the relationship between exchange rate risk and volatility and to measure transactions costs. The empirical results indicate that market-makers judge the probability of exchange rate changes based on both recent and long-term volatility and that the second moment alone is not a complete measure of volatility. While a proxy for trading volume does not have the expected relationship with spreads, weekend and holiday effects conform to theory. Transactions costs vary over time and seem responsive to the imposition of exchange controls.     

FX counterparty risk and trading activity in currency forward and futures markets

The Global Financial Crisis initiated a period of market turbulence and increased counterparty risk for financial institutions. Even though the Dodd–Frank Act is likely to exempt interbank foreign exchange trading from a central counterparty mandate, market participants have the option to trade currency futures on existing futures markets which standardize counterparty risks. Evidence for the period 2005–11 indicates that the market share of currency futures trading has grown relative to the pre-crisis period. This shift may be the result of a perceived increase in counterparty risk among banks, as well as changes in relative trading costs or changes in other institutional factors.     

银行间外汇市场的规模比较和因素分析

该文将我国银行间外汇市场规模水平与新兴经济体比较,发现市场的“换手率”偏低,市场交易的功能并不十分突出。通过进一步探索,从实证的角度发现和证明人民币汇率的可交易性不强,表现为汇率本身的波动性不足、市场流动性与市场成交水平弱相关、市场参与者的交易存在同质化现象、头寸等管理制度对参与者的交易行为具有明显的约束。文章最后研究了发达市场上汇率的交易状态以资借鉴。     

The Nasdaq-Amex Merger, Nasdaq Reforms, and the Liquidity of Small Firms

After the Nasdaq and American Stock Exchange (AMEX) merged in 1998, officials of the new entity argued that some “smaller, harder to trade” companies on Nasdaq should switch to AMEX to improve liquidity. This recommendation is based on the traditional view among academics and practitioners alike that a substantial trading cost reduction should be realized when a company switches from the multidealer Nasdaq system to the AMEX specialist system. However, in light of the 1997 Nasdaq reforms, we reexamine the validity of these arguments using data from 1996–98 on firms that switch from the Nasdaq to the AMEX or the New York Stock Exchange. Evidence from transaction costs, volatility, and stock returns shows declining benefits to switching during the sample period. Our findings indicate that the liquidity improvement from exchange listing is limited in the wake of the Nasdaq reforms of 1997.     

EX‐DIVIDEND DAY PRICE BEHAVIOR OF EXCHANGE‐TRADED FUNDS

We document that for exchange‐traded funds (ETFs), the price falls on average by the dividend amounts on the ex‐dividend day, and there are significantly positive abnormal volumes. This is because trading in ETFs entails lower transaction costs and lower risk than trading in equity closed‐end funds (CEFs) and individual stocks. Similar results are also found for equity CEFs. However, regression analyses indicate that transaction costs and risk are indeed negligible for ETFs but not for equity CEFs and that risk remains important for a sample of stocks matched based on transaction costs. Overall, the results support the short‐term traders hypothesis.     

The market microstructure approach to foreign exchange: Looking back and looking forward

Research on foreign exchange market microstructure stresses the importance of order flow, heterogeneity among agents, and private information as crucial determinants of short-run exchange rate dynamics. Microstructure researchers have produced empirically-driven models that fit the data surprisingly well. But FX markets are evolving rapidly in response to new electronic trading technologies. Transparency has risen, trading costs have tumbled, and transaction speed has accelerated as new players have entered the market and existing players have modified their behavior. These changes will have profound effects on exchange rate dynamics. Looking forward, we highlight fundamental yet unanswered questions on the nature of private information, the impact on market liquidity, and the changing process of price discovery. We also outline potential microstructure explanations for long-standing exchange rate puzzles.     

Noise traders,exchange rate disconnect puzzle,and the Tobin tax

This paper proposes a framework to explain the “exchange rate disconnect puzzle”. Two types of foreign exchange traders, rational traders and noise traders are introduced into a sticky-price general-equilibrium model. The presence of noise traders creates deviations from the uncovered interest parity. Combined with local currency pricing and consumption-smoothing behavior, our model can help to explain the “disconnect puzzle”. The excess exchange rate volatility caused by noise traders can be reduced by the ‘Tobin tax’. However, the effect of the ‘Tobin tax’ depends on the market structure and the interaction between the Tobin tax and other trading costs.     

A comparison of transaction costs on Xetra and on Nasdaq

Abstract

In today's financial world, providing high quality of order execution at low transaction costs is vitally important to the competitiveness of trading platforms; thus the stock market's microstructure has become a subject of fierce debate and models for computing transaction costs have been needed for quite a while. Capital market synergetics is appropriate to investigate the market microstructure's effectiveness and is implemented in the computer program KapSyn.

In this paper we compare transaction costs for small, medium-size and block-size orders on each exchange, examining different market scenarios. By investigating the peculiarities of Xetra and of Nasdaq we point out their comparative advantages: calculation results clearly show the high operating efficiency of Nasdaq's small-order execution system and Xetra's favourable execution of medium-size and block-size orders. Investors' trading decisions may benefit from taking these results into account. For policy makers and academics these findings contribute to the debate about the optimal design of a market microstructure by highlighting the areas of high performance.