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Trader Type Effects on the Volatility-Volume Relationship

Trader Type Effects on the Volatility-Volume Relationship
Author: Aris Kartsaklas
Publisher:
Total Pages: 36
Release: 2010
Genre:
ISBN:

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This paper examines empirically the volatility-volume relationship implied by various market microstructure models which associate movements in prices and trading volume with information, dispersion of beliefs and trading motives. Our unique dataset allows to investigate whether different types of traders (members vs non-members, institutional vs individual) have a positive or negative effect upon volatility. Our empirical results show that surprises in non-member investors' trading volume are positively related with volatility in most of the cases. These results are more reinforcing in the case of log-volume and generally consistent with existing theoretical and empirical evidence. As regards member investors, we primarily find that unexpected volume is positively related to volatility, providing further support for the argument that informed rational speculators exacerbate volatility especially when noise traders follow positive feedback strategies. Another result of our study is that the coefficients relating the unexpected component of open interest with volatility are uniformly negative, implying that an increase in open interest during the day lessens the impact of a volume shock in volatility. Finally, when we allow for time-to-maturity effects, non-member institutional investors are not associated with any movement in volatility while surprises in open interest are associated with more volatility towards the end of the contract life.


Big Data

Big Data
Author: Kuan-Ching Li
Publisher: CRC Press
Total Pages: 478
Release: 2015-02-23
Genre: Computers
ISBN: 1482240564

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As today's organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly acquired knowledge to achieve competitive advantages.Pre


Finance India

Finance India
Author:
Publisher:
Total Pages: 816
Release: 2008
Genre: Finance
ISBN:

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Trade Execution, Arbitrage and Dealing in Australia

Trade Execution, Arbitrage and Dealing in Australia
Author: Alex Frino
Publisher: SprintPrints
Total Pages: 122
Release: 2008
Genre: Arbitrage
ISBN: 9781442505391

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A large portion of trading activity in financial markets involves brokers, arbitrageurs and dealers or market makers. The aim of this book is to provide a rigorous yet practical treatment of the principles underlying these types of trading activity. A large and growing body of research in finance deals with such activity, and appears in the literature commonly referred to as the security market microstructure literature. The book provides a review of the securities market microstructure literature concerned with trade execution, arbitrage and market making. Wherever possible, the principles developed in research are illustrated through worked examples and illustrations.


Stock Market Volatility

Stock Market Volatility
Author: Greg N. Gregoriou
Publisher: CRC Press
Total Pages: 654
Release: 2009-04-08
Genre: Business & Economics
ISBN: 1420099558

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Up-to-Date Research Sheds New Light on This Area Taking into account the ongoing worldwide financial crisis, Stock Market Volatility provides insight to better understand volatility in various stock markets. This timely volume is one of the first to draw on a range of international authorities who offer their expertise on market volatility in devel


Econometrics of Financial High-Frequency Data

Econometrics of Financial High-Frequency Data
Author: Nikolaus Hautsch
Publisher: Springer Science & Business Media
Total Pages: 381
Release: 2011-10-12
Genre: Business & Economics
ISBN: 364221925X

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The availability of financial data recorded on high-frequency level has inspired a research area which over the last decade emerged to a major area in econometrics and statistics. The growing popularity of high-frequency econometrics is driven by technological progress in trading systems and an increasing importance of intraday trading, liquidity risk, optimal order placement as well as high-frequency volatility. This book provides a state-of-the art overview on the major approaches in high-frequency econometrics, including univariate and multivariate autoregressive conditional mean approaches for different types of high-frequency variables, intensity-based approaches for financial point processes and dynamic factor models. It discusses implementation details, provides insights into properties of high-frequency data as well as institutional settings and presents applications to volatility and liquidity estimation, order book modelling and market microstructure analysis.