We study the evolution of trading in a market-maker trading system (SPAD) introduced to the Prague Stock Exchange in 1998. We find that the new system succeeded in increasing the transparency of the market, improved the price discovery function of the exchange, and that investors have benefited from lowered spreads. From this viewpoint, it may be an example for other markets where lack of trans...

While many studies have focused on trading volume in the stock market, little is known about why derivatives volume varies in the cross-section or over time. We study time-series properties as well as the determinants of the options/stock trading volume ratio (O/S) using a comprehensive cross-section and time-series of data on equities and their listed options. O/S is related to many intuitive ...

There is a growing realization among regulators and managers of competing trading venues (incumbent stock exchanges, in particular) that the design of the trading mechanism is the most important determinant of a market’s ability to compete for order flow. To understand how different trading venues succeed in capturing trading activity in a particular security, one has to understand which attrib...

Electronic markets use information technology to disseminate information on prices, quantities, and buyer and supplier identities. In spite of the recognized benefits of electronic markets, increased visibility and transparency may introduce imperfections, and create profitable opportunities to bypass markets that generates the information. In the U.S. securities markets, dissemination of marke...

Motivated by previous findings that discretization of financial time series can effectively filter the data and reduce the noise, this experimental study compares the trading performance of predictive models based on different modelling paradigms in a realistic setting. Different methods ranging from real-valued time series models to predictive models on a symbolic level are applied to predict ...

We present a universal algorithm for online trading in Stock Market which performs asymptotically at least as good as any stationary trading strategy that computes the investment at each step using a fixed function of the side information that belongs to a given RKHS (Reproducing Kernel Hilbert Space). Using a universal kernel, we extend this result for any continuous stationary strategy. In th...

This paper examines the trading pattern around the ex-dividend day in the Estonian stock market between 2000 and 2006. An analysis of the Estonian income tax law confirmed that despite its simplicity there exists differential treatment of capital gains and dividends as well as tax heterogeneity among investors. An empirical analysis of the trading data showed a statistically significant abnorma...

Noise traders as one of the key elements of the market play a significant role in determining the market volatilities, returns, and stock market mispricing. Hence, this study attempts to scrutinize the role of noise trading in capital asset pricing. Therefore, by using daily data, samples including 14105 data of 200 companies listed on stock exchange were selected and noise trading index was es...

Duality for robust hedging with proportional transaction costs of path dependent European options is obtained in a discrete time financial market with one risky asset. Investor’s portfolio consists of a dynamically traded stock and a static position in vanilla options which can be exercised at maturity. Only stock trading is subject to proportional transaction costs. The main theorem is duality...

This paper addresses the question of how the timing of corporate insider trading is related to the level of information asymmetry in a stock price. Our empirical analysis shows that, when buying their firm’s shares, corporate insiders are likely to exploit their informational advantage through trading at times of high information asymmetry, while their selling appears more cautious because of r...