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On The Reverse U Shaped Intraday Pattern Of Volume And Volatility
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Book Synopsis On the Reverse U-Shaped Intraday Pattern of Volume and Volatility by : Zhijuan Chen
Download or read book On the Reverse U-Shaped Intraday Pattern of Volume and Volatility written by Zhijuan Chen and published by . This book was released on 2014 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: In contrast to the U-shaped intraday pattern of volume and volatility documented by previous literature, we document a reverse U-shaped intraday pattern of volume and volatility during the afternoon session in Chinese newborn CSI 300 index futures market. We analyze the dominant contracts of CSI 300 index futures with tick-by-tick data. We use ranged and realized measure of volatility, and we measure volume by dollar volume, share volume and number of trades. We find that no matter which measure is adopted, both trading volume and volatility of CSI 300 index future show a reverse U-shaped in the afternoon session.
Book Synopsis Intraday Trading Patterns and Day-of-the-Week in Stock Index Options Markets by : Min-Hsien Chiang
Download or read book Intraday Trading Patterns and Day-of-the-Week in Stock Index Options Markets written by Min-Hsien Chiang and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This article studies the intraday patterns of trading volume, volatility, and spreads and day-of-the-week variations for stock index options traded on the Taiwan Futures Exchange (TAIFEX). In addition, we examine the overnight variations in returns, volatility and spreads as well. We find that trading volume of TAIFEX options exhibit a U-shaped pattern. While the volatility at the market open is extremely volatile, the volatility quickly levels off for much of the rest of a trading. The bid-ask spreads pattern for TAIFEX options approximately follows a U-shaped pattern with a small hump immediately after 13:00 hours. The mean returns at Monday open for TAIFEX calls are lower while returns at the end of a trading day are larger. Calls have smaller overnight variations in volatility and bid-ask spreads compared to those in puts.
Book Synopsis Forecasting Volatility in the Financial Markets by : Stephen Satchell
Download or read book Forecasting Volatility in the Financial Markets written by Stephen Satchell and published by Elsevier. This book was released on 2011-02-24 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting Volatility in the Financial Markets, Third Edition assumes that the reader has a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting-edge modelling and forecasting techniques. It provides a survey of ways to measure risk and define the different models of volatility and return. Editors John Knight and Stephen Satchell have brought together an impressive array of contributors who present research from their area of specialization related to volatility forecasting. Readers with an understanding of volatility measures and risk management strategies will benefit from this collection of up-to-date chapters on the latest techniques in forecasting volatility. Chapters new to this third edition:* What good is a volatility model? Engle and Patton* Applications for portfolio variety Dan diBartolomeo* A comparison of the properties of realized variance for the FTSE 100 and FTSE 250 equity indices Rob Cornish* Volatility modeling and forecasting in finance Xiao and Aydemir* An investigation of the relative performance of GARCH models versus simple rules in forecasting volatility Thomas A. Silvey Leading thinkers present newest research on volatility forecasting International authors cover a broad array of subjects related to volatility forecasting Assumes basic knowledge of volatility, financial mathematics, and modelling
Book Synopsis Forecasting Volatility in the Financial Markets by : John L. Knight
Download or read book Forecasting Volatility in the Financial Markets written by John L. Knight and published by Butterworth-Heinemann. This book was released on 2002 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text assumes that the reader has a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting edge modeling and forecasting techniques. It then uses a technical survey to explain the different ways to measure risk and define the different models of volatility and return.
Download or read book Life Cycles written by Abhay Abhyankar and published by . This book was released on 1998 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper uses a data set consisting of a complete history of all transactions and quotes to examine intraday patterns in trading volume, volatility and the quoted bid-ask spread in the market for FTSE-100 index futures. We also document a number of regularities in the pattern of daily returns and volatility of the cash index. Finally, we document intraday patterns in the basis, i.e. the contemporaneous difference between the futures price and the underlying cash index level. In general, we find returns vary somewhat over the day, reflecting in particular the influence of the US market openings in early afternoon London-time. We find that, while both volume and volatility exhibit a U-shaped pattern over the day, movements in the spread tend if anything to follow the opposite pattern. As far as consistency with the best-known microstructure models is concerned, our results are more supportive of the Brock and Kleidon (1992) market closures model than the Admati and Pfleiderer (1988) noise- trading model.
Book Synopsis The Intraday Behaviour of Bid-Ask Spreads, Trading Volume and Return Volatility by : Syed Mujahid Hussain
Download or read book The Intraday Behaviour of Bid-Ask Spreads, Trading Volume and Return Volatility written by Syed Mujahid Hussain and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper undertakes a fresh empirical investigation of key financial market variables and the theories that link them. We employ high frequency 5-minute data that include transaction price, trading volume, and the close bid and ask quote for the period May 5, 2004 through September 29, 2005. We document a number of regularities in the pattern of intraday return volatility, trading volume and bid-ask spreads. We are able to confirm the reverse J-shaped pattern of intraday bid-ask spreads with the exception of a major bump following the intraday auction at 13:05 CET. The aggregate trading volume exhibits L-shaped pattern for the German blue chip index, while German index volatility displays a somewhat reverse J-shaped pattern with two major bumps at 14:30 and 15:30 CET. Our empirical findings show that contemporaneous and lagged trading volume and bid-ask spreads have numerically small but statistically significant effect on return volatility. Our results also indicate asymmetry in the effects of volume on conditional volatility. However, inclusion of both measures as proxy for informal arrival in the conditional volatility equation does not explain the well known volatility persistence in intraday stock returns.
Book Synopsis Financial Markets Theory by : Emilio Barucci
Download or read book Financial Markets Theory written by Emilio Barucci and published by Springer. This book was released on 2017-06-08 with total page 843 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work, now in a thoroughly revised second edition, presents the economic foundations of financial markets theory from a mathematically rigorous standpoint and offers a self-contained critical discussion based on empirical results. It is the only textbook on the subject to include more than two hundred exercises, with detailed solutions to selected exercises. Financial Markets Theory covers classical asset pricing theory in great detail, including utility theory, equilibrium theory, portfolio selection, mean-variance portfolio theory, CAPM, CCAPM, APT, and the Modigliani-Miller theorem. Starting from an analysis of the empirical evidence on the theory, the authors provide a discussion of the relevant literature, pointing out the main advances in classical asset pricing theory and the new approaches designed to address asset pricing puzzles and open problems (e.g., behavioral finance). Later chapters in the book contain more advanced material, including on the role of information in financial markets, non-classical preferences, noise traders and market microstructure. This textbook is aimed at graduate students in mathematical finance and financial economics, but also serves as a useful reference for practitioners working in insurance, banking, investment funds and financial consultancy. Introducing necessary tools from microeconomic theory, this book is highly accessible and completely self-contained. Advance praise for the second edition: "Financial Markets Theory is comprehensive, rigorous, and yet highly accessible. With their second edition, Barucci and Fontana have set an even higher standard!"Darrell Duffie, Dean Witter Distinguished Professor of Finance, Graduate School of Business, Stanford University "This comprehensive book is a great self-contained source for studying most major theoretical aspects of financial economics. What makes the book particularly useful is that it provides a lot of intuition, detailed discussions of empirical implications, a very thorough survey of the related literature, and many completely solved exercises. The second edition covers more ground and provides many more proofs, and it will be a handy addition to the library of every student or researcher in the field."Jaksa Cvitanic, Richard N. Merkin Professor of Mathematical Finance, Caltech "The second edition of Financial Markets Theory by Barucci and Fontana is a superb achievement that knits together all aspects of modern finance theory, including financial markets microstructure, in a consistent and self-contained framework. Many exercises, together with their detailed solutions, make this book indispensable for serious students in finance."Michel Crouhy, Head of Research and Development, NATIXIS
Book Synopsis Volume and Volatility in the Stock Market by : Melissa Danielle Davis
Download or read book Volume and Volatility in the Stock Market written by Melissa Danielle Davis and published by . This book was released on 2000 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Intraday Patterns in Returns, Trading Volume, Volatility and Trading Frequency on SEATS by : Michael J. Aitken
Download or read book Intraday Patterns in Returns, Trading Volume, Volatility and Trading Frequency on SEATS written by Michael J. Aitken and published by . This book was released on 1993 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Two Essays on the Intraday Behavior of Stocks Around Holidays by : Dong Yaabo Nyonna
Download or read book Two Essays on the Intraday Behavior of Stocks Around Holidays written by Dong Yaabo Nyonna and published by . This book was released on 2006 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation comprises two related essays on the intraday behavior of stocks around holidays. Essay one studies the intraday pattern of spreads for a sample of NYSE stocks on a short trading day (a trading day where the stock markets close at 1 p.m. ET). A plot of an interval-by-interval time series mean percentage bid-ask spreads reveal a "stretched L-shaped" intraday pattern. The spreads pattern demonstrated in this study contrasts with the "U-shaped" intraday spreads pattern documented by McInish and Wood (1992), Brock and Kleidon (1992), and Chung and Zhao (2003). The wide spreads at the open of trading are consistent with both the specialist market power hypothesis and the specialist anticipating trading with informed traders. We attribute the relatively constant spread (following the first half hour till the close of trading) to the loss of specialist market power, and investors exiting the market in preparation for a holiday observation. In addition, our study documents mixed findings on the determinants of spreads on the short trading day. We attribute the mixed results to the yearly differences in mean percentage bid-ask spreads in our sample period. Essay two examines the intraday pattern of bid-ask spreads for NASDAQ stocks on trading days around holidays. A plot of mean percentage bid-ask spreads shows that spreads are highest at the open, fall slightly after the first few minutes of trading, and remain relatively constant till around the close of trading, where they fall slightly. Our results are consistent with those of Chan, Christie, and Schultz (1995), but inconsistent with those of Chung and Zhao (2003). We attribute the observed pattern of spreads in this study to the low participation of ECNs on trading days around holidays. Finally, we show that both the intraday trading volume and volatility patterns are "U-shaped," supporting the results documented on the regular trading days.
Book Synopsis Intraday Stealth Trading and Volatility by : Barbara Bedowska-Sojka
Download or read book Intraday Stealth Trading and Volatility written by Barbara Bedowska-Sojka and published by . This book was released on 2013 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: The intraday volatility and volume U-shape pattern is well documented in the literature. It describes the common pattern of investor's behavior on the stock markets: investors trade in the beginning and the end of the day more intensive than in the lunch time. However that pattern does not differentiate between trades' sizes and investors characteristics. The stealth trading hypothesis states that informed traders tend to hide their information. There is a need for such behavior at the time of low volatility and they may achieve this by breaking up their trades into smaller parts. At the time of high volatility informed traders are willing to place large orders at the beginning and the end of the trading day because high volatility provides a sufficient camouflage for their information. We examine volatility pattern for small, medium and large trades and consider how durations between trades and spreads differ between trade size categories. Our sample consists of the data from the Warsaw Stock Exchange, which is organized as an order driven market. We show that medium-size trades are associated with relative large cumulative stock price changes, however these results are not robust when liquidity measures and durations between the consecutive trades are taken into account.
Book Synopsis Informed Traders as Liquidity Providers by : Alexandra Hachmeister
Download or read book Informed Traders as Liquidity Providers written by Alexandra Hachmeister and published by Springer Science & Business Media. This book was released on 2007-11-03 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Alexandra Hachmeister’s thesis empirically analyzes and positively answers the question whether informed traders provide liquidity in an open limit order book. The analyses include a detailed market description of the German equity market, a new methodological approach for the identification of informed traders as well as the analysis of the individual liquidity providing and demanding behavior of the identified informed traders.
Book Synopsis Intraday Market Liquidity on the Swiss Stock Exchange by : Angelo Ranaldo
Download or read book Intraday Market Liquidity on the Swiss Stock Exchange written by Angelo Ranaldo and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This study is an empirical analysis of the intraday market liquidity and volume concentration on the Swiss Stock Exchange. The intraday market liquidity on the Swiss market exhibits a triple-U shaped pattern. An intraday pattern of volume concentration also exists. The empirical evidence shows that the US market influences the Swiss trading day to a remarkable extent. The results also suggest the dynamics of an order-driven market. Disequilibrium between demand and supply conditions are associated with an increase in trading volume and a thinner limit order book. In this market condition, trades engender a wider spread and price volatility.
Book Synopsis Stock Market Liquidity by : François-Serge Lhabitant
Download or read book Stock Market Liquidity written by François-Serge Lhabitant and published by John Wiley & Sons. This book was released on 2008-01-09 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brings together today's best financial minds across the world to discuss the issue of liquidity in today's markets. It is often proxied by trade-based measures (such as trading volume, frequency of trading, dollar value of shares trade, etc), order based measures and price impact measures.
Book Synopsis Do Intraday Volatility Patterns Follow a 'U' Curve? Evidence from the Indian Market by : Aravind Sampath
Download or read book Do Intraday Volatility Patterns Follow a 'U' Curve? Evidence from the Indian Market written by Aravind Sampath and published by . This book was released on 2013 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study examines the 'intraday' volatility patterns of NSE's Nifty Index from August 2000 to December 2003. The tick by tick index returns are categorized into three groups - opening price to thirty minutes after opening price (morning sample), thirty minutes after opening price to fifteen minutes before closing price (mid-day sample) and fifteen minutes before closing price to closing price (evening sample). Defining the tick by tick index returns as a measure of deviation between successive prices, new volatility estimates are constructed to compute intraday volatility. The volatility patterns across the samples suggest high volatility during the initial trading period which sustains till 30 opening minutes and further increasing volatility during the last 15 minutes of a trading day. Information bunching and presence of private information are attributed to morning and evening period volatilities respectively. The volatility of intraday index prices of Nifty follows a crude U shaped curve.
Book Synopsis Intraday Stealth Trading by : Benjamin M. Blau
Download or read book Intraday Stealth Trading written by Benjamin M. Blau and published by . This book was released on 2008 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research documents a U-shaped intraday pattern of returns (Wood et al., 1985, and Harris, 1986). This paper examines which trade sizes drive the U-shaped pattern. We find that intraday price changes from larger trades exhibit a U-shaped pattern while prices changes from smaller trades show a reverse U-shaped pattern. We argue that price changes from smaller trades are higher during the middle of the day because informed investors break up their trades in order to disguise their information (Barclay and Warner, 1993) when intraday volume is low. Price changes from larger trades are likely higher at the beginning and end of the day because high volume allows informed investors to increase their trade size without revealing their information to the market (Admati and Pfleiderer, 1988). Consistent with our argument, we find that the relation between volume and price changes is increasing across trade sizes.
Book Synopsis Forecasting Volatility in the Financial Markets by : John Knight
Download or read book Forecasting Volatility in the Financial Markets written by John Knight and published by Butterworth-Heinemann. This book was released on 1998 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: An aid to understanding the significance of volatility in the financial market, this text details modelling/forecasting techniques and uses a technical survey to define the models of volatility and return and explain the ways to measure risk. Applications in the financial markets are then detailed.
