Author: Xiaojun He
Publisher:
ISBN:
Category :
Languages : en
Pages : 36
Book Description
This paper develops a common-factor model to investigate relationships between security returns/return volatility and trading volume. The model generalizes Tauchen and Pitts' (1983) MDH model by capturing possible interactions among securities. In our model, both price changes and trading volume are governed by three kinds of mutually independent variables: common factor variables, latent information variables and idiosyncratic variables. Despite its similarity to Hasbrouck and Seppi's (2001) model in terms of the form, the model extraordinarily allows us to identify the cause of interactions among securities by decomposing factor loadings into constant and random components. Three key implications are reached from our model. First, common factor structures in returns and trading volume stem from information flows. Second, returns' common factors are not related to trading volume's common factors. This implication directly opposes Hasbrouck and Seppi's (2001) assumption. Finally, cross-firm variations of returns and volume respectively rely on underlying latent information flows. The positive relation between return volatility and volume also results only from underlying latent information flows. Thus, common factor structures in returns and trading volume have no additional explanatory power in cross-firm variations and the positive return volatility-volume relationship. We fit the model for intraday data of Dow Jones 30 stocks using the EM algorithm. The results support specifications of our model. The empirical results demonstrate 3-factor structures in returns and trading volume, respectively. All 30 stocks in our sample are governed by at least one common factor. This fact implies that our model outperforms Tauchen and Pitts' (1983) model because their model is a special case of our model without the presence of common factors. We also show that after controlling the effect of information flows, persistence in return variance disappears.
Commonality, Information and Return/Return Volatility - Volume Relationship
Author: Xiaojun He
Publisher:
ISBN:
Category :
Languages : en
Pages : 36
Book Description
This paper develops a common-factor model to investigate relationships between security returns/return volatility and trading volume. The model generalizes Tauchen and Pitts' (1983) MDH model by capturing possible interactions among securities. In our model, both price changes and trading volume are governed by three kinds of mutually independent variables: common factor variables, latent information variables and idiosyncratic variables. Despite its similarity to Hasbrouck and Seppi's (2001) model in terms of the form, the model extraordinarily allows us to identify the cause of interactions among securities by decomposing factor loadings into constant and random components. Three key implications are reached from our model. First, common factor structures in returns and trading volume stem from information flows. Second, returns' common factors are not related to trading volume's common factors. This implication directly opposes Hasbrouck and Seppi's (2001) assumption. Finally, cross-firm variations of returns and volume respectively rely on underlying latent information flows. The positive relation between return volatility and volume also results only from underlying latent information flows. Thus, common factor structures in returns and trading volume have no additional explanatory power in cross-firm variations and the positive return volatility-volume relationship. We fit the model for intraday data of Dow Jones 30 stocks using the EM algorithm. The results support specifications of our model. The empirical results demonstrate 3-factor structures in returns and trading volume, respectively. All 30 stocks in our sample are governed by at least one common factor. This fact implies that our model outperforms Tauchen and Pitts' (1983) model because their model is a special case of our model without the presence of common factors. We also show that after controlling the effect of information flows, persistence in return variance disappears.
Publisher:
ISBN:
Category :
Languages : en
Pages : 36
Book Description
This paper develops a common-factor model to investigate relationships between security returns/return volatility and trading volume. The model generalizes Tauchen and Pitts' (1983) MDH model by capturing possible interactions among securities. In our model, both price changes and trading volume are governed by three kinds of mutually independent variables: common factor variables, latent information variables and idiosyncratic variables. Despite its similarity to Hasbrouck and Seppi's (2001) model in terms of the form, the model extraordinarily allows us to identify the cause of interactions among securities by decomposing factor loadings into constant and random components. Three key implications are reached from our model. First, common factor structures in returns and trading volume stem from information flows. Second, returns' common factors are not related to trading volume's common factors. This implication directly opposes Hasbrouck and Seppi's (2001) assumption. Finally, cross-firm variations of returns and volume respectively rely on underlying latent information flows. The positive relation between return volatility and volume also results only from underlying latent information flows. Thus, common factor structures in returns and trading volume have no additional explanatory power in cross-firm variations and the positive return volatility-volume relationship. We fit the model for intraday data of Dow Jones 30 stocks using the EM algorithm. The results support specifications of our model. The empirical results demonstrate 3-factor structures in returns and trading volume, respectively. All 30 stocks in our sample are governed by at least one common factor. This fact implies that our model outperforms Tauchen and Pitts' (1983) model because their model is a special case of our model without the presence of common factors. We also show that after controlling the effect of information flows, persistence in return variance disappears.
Volume, Volatility, and Return Relationships
Author: Megan Yuan Sun
Publisher:
ISBN:
Category : Econometrics
Languages : en
Pages : 702
Book Description
Publisher:
ISBN:
Category : Econometrics
Languages : en
Pages : 702
Book Description
Limit Order Book Dynamics and Asset Liquidity
Author: Georg Pristas
Publisher: Cuvillier Verlag
ISBN: 386727679X
Category :
Languages : en
Pages : 163
Book Description
Publisher: Cuvillier Verlag
ISBN: 386727679X
Category :
Languages : en
Pages : 163
Book Description
Return Volatility and Trading Volume in Financial Markets
Author: Torben G. Andersen
Publisher:
ISBN:
Category :
Languages : en
Pages : 273
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 273
Book Description
Forecasting conditional volatility of returns by using the relationship among returns, trading volume, and open interest in commodity futures markets
Author: Sang-Hak Lee
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
Competition for Listings
Author: Thierry Foucault
Publisher:
ISBN:
Category : Business enterprises
Languages : en
Pages : 64
Book Description
Publisher:
ISBN:
Category : Business enterprises
Languages : en
Pages : 64
Book Description
An Introduction to Risk and Return from Common Stocks
Author: Richard A. Brealey
Publisher: MIT Press (MA)
ISBN:
Category : Investment analysis
Languages : en
Pages : 168
Book Description
Publisher: MIT Press (MA)
ISBN:
Category : Investment analysis
Languages : en
Pages : 168
Book Description
Complexity in Economic and Social Systems
Author: Stanisław Drożdż
Publisher: MDPI
ISBN: 3036507949
Category : Business & Economics
Languages : en
Pages : 534
Book Description
There is no term that better describes the essential features of human society than complexity. On various levels, from the decision-making processes of individuals, through to the interactions between individuals leading to the spontaneous formation of groups and social hierarchies, up to the collective, herding processes that reshape whole societies, all these features share the property of irreducibility, i.e., they require a holistic, multi-level approach formed by researchers from different disciplines. This Special Issue aims to collect research studies that, by exploiting the latest advances in physics, economics, complex networks, and data science, make a step towards understanding these economic and social systems. The majority of submissions are devoted to financial market analysis and modeling, including the stock and cryptocurrency markets in the COVID-19 pandemic, systemic risk quantification and control, wealth condensation, the innovation-related performance of companies, and more. Looking more at societies, there are papers that deal with regional development, land speculation, and the-fake news-fighting strategies, the issues which are of central interest in contemporary society. On top of this, one of the contributions proposes a new, improved complexity measure.
Publisher: MDPI
ISBN: 3036507949
Category : Business & Economics
Languages : en
Pages : 534
Book Description
There is no term that better describes the essential features of human society than complexity. On various levels, from the decision-making processes of individuals, through to the interactions between individuals leading to the spontaneous formation of groups and social hierarchies, up to the collective, herding processes that reshape whole societies, all these features share the property of irreducibility, i.e., they require a holistic, multi-level approach formed by researchers from different disciplines. This Special Issue aims to collect research studies that, by exploiting the latest advances in physics, economics, complex networks, and data science, make a step towards understanding these economic and social systems. The majority of submissions are devoted to financial market analysis and modeling, including the stock and cryptocurrency markets in the COVID-19 pandemic, systemic risk quantification and control, wealth condensation, the innovation-related performance of companies, and more. Looking more at societies, there are papers that deal with regional development, land speculation, and the-fake news-fighting strategies, the issues which are of central interest in contemporary society. On top of this, one of the contributions proposes a new, improved complexity measure.
Lessons from Exceptional School Leaders
Author: Mark F. Goldberg
Publisher: ASCD
ISBN: 0871205246
Category : Educational leadership
Languages : en
Pages : 146
Book Description
Ernest Boyer pushed school leaders to close "the gap between the haves and have-nots." Al Shanker led teachers to form a strong union. Deborah Meier created small schools of choice that broke achievement records. Through interviews with these and many other outstanding school leaders, Mark Goldberg has distilled the essence of effective school and district leadership. You'll learn how strong leaders * Form beliefs about school excellence. * Support a strong staff development program. * Broaden the school or district leadership. * Adapt leadership skills to specific school or district needs. * Address the gaps caused by discrimination, racism, and poverty. You'll also find out how to encourage other educators to become leaders and to build teams, work groups, and community support networks. This is an essential guide for anyone who wants to know how to start--and maintain--an innovative educational program that supports high student achievement.
Publisher: ASCD
ISBN: 0871205246
Category : Educational leadership
Languages : en
Pages : 146
Book Description
Ernest Boyer pushed school leaders to close "the gap between the haves and have-nots." Al Shanker led teachers to form a strong union. Deborah Meier created small schools of choice that broke achievement records. Through interviews with these and many other outstanding school leaders, Mark Goldberg has distilled the essence of effective school and district leadership. You'll learn how strong leaders * Form beliefs about school excellence. * Support a strong staff development program. * Broaden the school or district leadership. * Adapt leadership skills to specific school or district needs. * Address the gaps caused by discrimination, racism, and poverty. You'll also find out how to encourage other educators to become leaders and to build teams, work groups, and community support networks. This is an essential guide for anyone who wants to know how to start--and maintain--an innovative educational program that supports high student achievement.
Common Determinants of Liquidity and Trading
Author: Tarun Chordia
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 70
Book Description
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 70
Book Description