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Author: Shuming Liu (doctor of finance.)
Publisher:
ISBN:
Category : Institutional investors
Languages : en
Pages : 254
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Book Description
This dissertation consists of two empirical essays on investor behavior and liquidity variation. The results demonstrate the important role of investors in affecting liquidity. The first essay examines how the fluctuation in the aggregate stock market liquidity is related to investor sentiment. I find that the stock market is more liquid when investor sentiment is higher. This evidence is consistent with the theoretical prediction that higher investor sentiment increases stock market liquidity. The second essay investigates whether the cross-sectional differences in liquidity are affected by institutional ownership. I document that stocks with larger increases in the number of institutional investors are more liquid than other stocks. This result is consistent with the prediction that information competition among institutional investors increases stock liquidity.
Author: Shuming Liu (doctor of finance.)
Publisher:
ISBN:
Category : Institutional investors
Languages : en
Pages : 254
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Book Description
This dissertation consists of two empirical essays on investor behavior and liquidity variation. The results demonstrate the important role of investors in affecting liquidity. The first essay examines how the fluctuation in the aggregate stock market liquidity is related to investor sentiment. I find that the stock market is more liquid when investor sentiment is higher. This evidence is consistent with the theoretical prediction that higher investor sentiment increases stock market liquidity. The second essay investigates whether the cross-sectional differences in liquidity are affected by institutional ownership. I document that stocks with larger increases in the number of institutional investors are more liquid than other stocks. This result is consistent with the prediction that information competition among institutional investors increases stock liquidity.
Author: Mohamed Abdel-aziz Mekhaimer
Publisher:
ISBN:
Category :
Languages : en
Pages :
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This dissertation is composed of two essays. In the first essay, we use the introduction of the first transatlantic trading platform NYSE Arca Europe (NAE), as an exogenous shock to examine the impact of market design on commonality in liquidity. We find that commonality in liquidity increases significantly for stocks traded in the NAE, specifically, the introduction of the transatlantic NAE trading platform increases the comovement of NAE stocks with NAE aggregate liquidity while their comovement with the home market aggregate liquidity decreases. Further, we find that the commonality in liquidity remains unchanged for matched non-NAE control sample stocks. Our results are robust to different methods for computing commonality, different liquidity proxies and across size quintiles. We conclude that market design and trading infrastructure has a significant impact on commonality in liquidity. The second essay investigates the impact of internal governance on stock market liquidity. Acharya, Myers and Rajan (2011) develop a model of internal governance where subordinate managers can effectively monitor the CEO to maintain the future of the firm. Using a measure of internal governance based on the difference in horizons between a CEO and his subordinates, we show that firms with better internal governance have lower information asymmetry and higher liquidity. We also show that internal governance is more effective in enhancing liquidity for firms with CEOs close to retirement, firms that require higher firm-specific skills, and firms with experienced subordinate managers. Our results are robust to inclusion of conventional governance measures, alternative model specifications, and different measures of internal governance and liquidity.
Author: Ozkan Haykir
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Andrei I. Nikiforov
Publisher:
ISBN:
Category : Electronic dissertations
Languages : en
Pages : 136
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In these essays, I identify the effects of earnings seasons (i.e., the clustering of earnings releases), on stock market liquidity and asset pricing. In the first essay, I document strong seasonal regularities associated with aggregate earnings announcements. Applying the large body of literature linking earnings announcements to liquidity effects, I argue that these earnings seasons create market-wide liquidity shocks and I show that both liquidity betas and liquidity risk change during earnings seasons In the second essay, I test the impact of earnings seasons on commonality in liquidity as measured by both spreads and depths. I find that commonality significantly decreases during the four weeks of each calendar quarter when most companies release their earnings. These findings contribute to the literature by identifying and examining the clustering effect of firm-specific information on commonality in liquidity. In the third essay, I extend the study of the liquidity effects of earnings seasons to a sample of 20 countries. I find that the international data corroborate both hypotheses. I also find that the aggregate quality of accounting information, and the duration and frequency of interim reporting periods are important determinants of the liquidity effects (both liquidity betas and commonality in liquidity) during earnings seasons.
Author: Francis Sui-Wing Chan
Publisher:
ISBN:
Category : Liquidity (Economics)
Languages : en
Pages : 290
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Author: Thị Thu Hương Lê
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Xiaoyun Yu
Publisher:
ISBN:
Category :
Languages : en
Pages : 222
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Author: Shalini Nageswaran
Publisher:
ISBN: 9781267435118
Category : Capital assets pricing model
Languages : en
Pages : 126
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In Chapter 1, I find that stock characteristics do predict a stock's time-varying liquidity beta, i.e. its sensitivity to market, with the effect varying according to the assumed holding period using data on 30 small, medium, and large cap stocks between 1997 and 2002. I also find that liquidity is a priced factor for stock return even after controlling for market and stock measures of risk such as estimates of market volatility and stock level volatility. In order to mitigate problems arising from a small panel, I also test the returns model with ARCH errors on a larger sample of 2000 stocks. Chapter 2 accounts for endogenous liquidity in a standard asset pricing model. Loss of liquidity, especially during times of crises, needs to be incorporated into models of financial assets so as to forecast returns correctly. To identify the effect of endogenous stock liquidity on stock returns, an instrument is constructed from the NYSE, AMEX, and NASDAQ's decimalization program, which shrunk tick sizes from one-sixteenth of a dollar to one-hundredth of a dollar. Decimalization led to an increase in liquidity by allowing for narrower bid-ask spreads. Using daily price and quote data on U.S. common stocks, I find that as stocks becomes more illiquid, their future expected returns increase. In Chapter 3, I propose two related measures for algorithmic trading constructed from the Disclosure of Order Execution Statistics data in order to study the effect of algorithmic trading on stock liquidity. The first is the average time taken to fill an order once it arrives in the market, known as fill time, and the second is the proportion of orders executed within ten seconds of order arrival at the NYSE. Since the decision to use algorithms in trading is an endogenous one, I use the NYSE's introduction of autoquotes in 2003 to identify the causal effect of algorithmic trading on a stock's liquidity. Using IV estimation, I find that a one second decrease in fill time narrows spreads by two basis points.
Author: Lubomir Petrasek
Publisher:
ISBN:
Category :
Languages : en
Pages : 128
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Author: Wei-Xuan Li
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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