Duration, Volume and Volatility Impact of Trades

Duration, Volume and Volatility Impact of Trades

Author: Simone Manganelli

Publisher:

Published: 2005

Total Pages: 47

ISBN-13:

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This paper develops a new econometric framework to model duration, volume and volatility simultaneously. We obtain an econometric reduced form that incorporates causal and feedback effects among these variables. We construct impulse-response functions that show how the system reacts to a perturbation of its long-run equilibrium. The methodology is applied to two groups of stocks from NYSE, classified according to their trade intensity. We document how the two groups of stocks are characterised by different dynamics: 1) volume is more persistent for frequently traded stocks than for the infrequently traded ones; 2) the well-known positive relationship between volume and price variability holds only for the frequently traded stocks at the ultra high frequency level; 3) the trade arrival process can be considered exogenous only for the not frequently traded stocks; 4) the more frequently traded the stock, the faster the market returns to its full information equilibrium after a perturbation.


Trading Volume, Volatility and Leverage

Trading Volume, Volatility and Leverage

Author: Ayesha Rawoo

Publisher: LAP Lambert Academic Publishing

Published: 2011-08

Total Pages: 64

ISBN-13: 9783845438023

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Knowledge of volatility is of crucial importance in many areas. The Stock Market of Mauritius did not remain untouched. This paper explores the relationship between trading volume, volatility and leverage in the Stock Market of Mauritius. In contrast to other studies which examine the SEMDEX or the SEM by sector, we examine the relationship for 35 listed stocks on the SEM. Daily return, volume and the SEMDEX is used for the period 2005 to 2009. We also emphasize on the impact of trading volume. The analysis shows that there exist substantial ARCH effect and volatility shocks are quite persistent in the market. The impact of both recent and old news can be found. The study also finds evidence of leverage and asymmetric effect on the Stock Market. Consistent with the results of Lamoureux and Lastrapes (1990), our results shows that the persistence of volatility decreases after volume is included in the model.


Time and Dynamic Volume-Volatility Relation

Time and Dynamic Volume-Volatility Relation

Author: Xiaoqing Eleanor Xu

Publisher:

Published: 2011

Total Pages:

ISBN-13:

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This paper examines volume and volatility dynamics by accounting for market activity measured by the time duration between two consecutive transactions. A time-consistent vector autoregressive model (VAR) is employed to test the dynamic relationship between return volatility and trades using intraday irregularly spaced transaction data. The model is used to identify the informed and uninformed components of return volatility and to estimate the speed of price adjustment to new information. It is found that volatility and volume are persistent and highly correlated with past volatility and volume. The time duration between trades has a negative effect on the volatility response to trades and correlation between trades. Consistent with microstructure theory, shorter time duration between trades implies higher probability of news arrival and higher volatility. Furthermore, bid-ask spreads are serially dependent and strongly affected by the informed trading and inventory costs.


Stochastic Volatility and Time Deformation

Stochastic Volatility and Time Deformation

Author: Joann Jasiak

Publisher:

Published: 2012

Total Pages:

ISBN-13:

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In this paper, we study stochastic volatility models with time deformation. Such processes relate to the early work by Mandelbrot and Taylor (1967), Clark (1973), Tauchen and Pitts (1983), among others. In our setup, the latent process of stochastic volatility evolves in an operational time which differs from calendar time. The time deformation can be determined by past volume of trade, past returns, possibly with an asymmetric leverage effect, and other variables setting the pace of information arrival. The econometric specification exploits the state-space approach for stochastic volatility models proposed by Harvey, Ruiz and Shephard (1994) as well as the matching moment estimation procedure using SNP densities of stock returns and trading volume estimated by Gallant, Rossi and Tauchen (1992). Daily data on returns and trading volume of the NYSE are used in the empirical application. Supporting evidence for a time deformation representation is found and its impact on the behavior of returns and volume is analyzed. We find that increases in volume accelerate operational time, resulting in volatility being less persistent and subject to shocks with a higher innovation variance. Downward price movements have similar effects while upward price movements increase the persistence in volatility and decrease the dispersion of shocks by slowing down market time. We present the basic model as well as several extensions; in particular, we formulate and estimate a bivariate return-volume stochastic volatility model with time deformation. The latter is examined through bivariate impulse response profiles following the example of Gallant, Rossi and Tauchen (1993).


Option Volatility Trading Strategies

Option Volatility Trading Strategies

Author: Sheldon Natenberg

Publisher: John Wiley & Sons

Published: 2013-03-18

Total Pages: 180

ISBN-13: 1592802923

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Sheldon Natenberg is one of the most sought after speakers on the topic of option trading and volatility strategies. This book takes Sheldon’s non-technical, carefully crafted presentation style and applies it to a book—one that you’ll study and carry around for years as your personal consultant. Learn about the most vital concepts that define options trading, concepts you’ll need to analyze and trade with confidence. In this volume, Sheldon explains the difference between historical volatility, future volatility, and implied volatility. He provides real inspiration and wisdom gleaned from years of trading experience. Th is book captures the energy of the spoken message direct from the source. Learn about implied volatility and how it is calculated Gain insight into the assumptions driving an options pricing model Master the techniques of comparing price to value Realize the important part that probability plays in estimating option prices


Shock Markets

Shock Markets

Author: Robert I. Webb

Publisher: FT Press

Published: 2013-03-26

Total Pages: 297

ISBN-13: 0133345807

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Don't fear crises: use them as opportunities to make money! Shock Markets shows traders and investors exactly how to do it -- with exceptional detail, not vague handwaving. Robert Webb and Alexander Webb offer meticulous breakdowns of recent crises, revealing how they impacted both individual stocks and the market as a whole -- and helping you create detailed game plans for profiting from future shocks. By fusing real-life trading examples with rigorous moment-by-moment analysis of price changes, they give you tools to survive and thrive in even the most volatile markets. This accessible, actionable book answers crucial questions like: What moves stock prices? What moves the overall market? How can you profit from understanding catalysts that precipitate sudden sharp changes in stock prices? From the actions of corporate executives to regulatory decisions, earnings announcements to merger deals, lawsuits to settlements, macroeconomic reports to the policy actions of foreign governments, seemingly remote factors can have a huge, sudden impact on stocks in today's interconnected markets. Shock Markets illuminates these catalysts, and demonstrates their shifting behavior during fads, fashions, bubbles, crashes, and market crises. The focus is completely practical: helping savvy traders uncover profit where others find only peril.