Transaction Costs and the Asymmetric Price Impact of Block Trades

The article examines the impact of transaction costs on the trading strategy of informed institutional investors in a sequential trading market where traders can choose to transact a large or a small amount of stock. The analysis shows how the trading strategy of informed investors and the price impact of their trades depends on market conditions. The main prediction of the model is that institutional buyers are, on average, more aggressive than institutional sellers in bearish markets and less aggressive in bullish markets. Hence, the price impact is higher for purchases when market conditions are bearish, while it is higher for sales when market conditions are bullish. However, this asymmetry vanishes during strongly bearish or bullish phases, when information-based orders stop because the informational advantage of institutional investors becomes too small with respect to the transaction costs

Transaction costs and the asymetric price impact of block trades

The article examines the impact of transaction costs on the trading strategy of informed institutional investors in a sequential trading market where traders can choose to transact a large or a small amounts of stock. The analysis shows how the trading strategy of informed investors and the price impact of their trades depends on market conditions. The main prediction of the model is that institutional buyers are, on average, more aggressive than institutional sellers in bearish markets and less aggressive in bullish markets. Hence, the price impact is higher for purchases when market conditions are bearish, while it is higher for sales when market conditions are bullish. However, this asymmetry vanishes during strongly bearish or bullish phases, when information-based orders stop because the informational advantage of institutional investors becomes too small with respect to the transaction costs

Call auction transparency and market liquidity, evidence from the Shanghai Stock Exchange

This paper examines the impact of pre-trade information transparency in pre-open call auction on market liquidity on the Shanghai Stock Exchange (SHSE). We examine the natural experiment affected by the Shanghai Stock Exchange in July 2006 when it changed its pre-open auction algorithm from an entirely black box into a limited transparent system with a closed order book. We find that the increase in pre-trade information transparency coincides with a statistically significant reduction in spread at the best quotes. The reduction in spread persists even after controlling for known determinants of depth. Furthermore, there is also evidence of a statistically significant reduction in market depths. Finally, the ratio of trading volume to total volume during call auction increases significantly over the first 15 minutes of continuous trading. We conclude that in a more transparent call auction, the change from an entirely black box into a limit transparent limit order book has led to an improvement in market quality in terms of market liquidity and increased participation in the call auction by investors

The Impact of Underlying Market Closure on Futures Market Liquidity: Evidence from China

This study investigates the trading activity of Chinese stock index futures, recently introduced at the open and close of the underlying trading. We document the impact of the underlying spot on the futures market liquidity as well as volatility as discussed in earlier works on market closure theory. Our empirical results support previous literature on the impact of the underlying, particularly during the open session, as a contagion effect, which is clearly at play. We find significant U-shaped patterns in liquidity factors and intraday volatility during open and close trades in the morning

Asymmetry in the permanent price impact of block purchases and sales: theory and empirical evidence

This paper extends previous research which has examined the market impact of large transactions in bull and bear markets by examining the information effects of trades. Previous research has demonstrated that the information effects of buy trades are greater than the information effects of sell trades. We develop a theoretical model which predicts that this difference is greater in bear markets than bull markets, consistent with the (almost counter-intuitive) proposition that buy trades are relatively more informed in bear markets. Using a sample of trades executed on the NYSE in bull and bear market periods, we find evidence consistent with our primary theoretical model

The Behavioural Aspects of Financial Literacy

In this paper, we investigate the contribution of behavioural characteristics to the financial literacy of UAE residents after controlling for demographic factors. Specifically, we test the relationship between financial literacy and behavioural biases such as representativeness, self-serving, overconfidence, loss aversion, and hindsight bias. Using data collected through survey questionnaires, we apply the methodology developed by the Organization of Economic Co-operation and Development (OECD) to compute financial literacy scores. Our overall results show that all behavioural biases except for overconfidence bias are positively related to financial literacy. Furthermore, some biases exhibit a stronger quantitative relationship with financial literacy than others. For example, hindsight bias displays the strongest link to financial literacy, followed by self-serving bias. The weakest but still statistically significant effect is loss aversion bias. Although biases, in general, have negative connotations, behavioural biases appear to be related to higher levels of financial literacy