Access the full text.
Sign up today, get DeepDyve free for 14 days.
Bai (1998)
Estimating and Testing Linear Models with Multiple Structural ChangesEconometrica, 66
T. Chordia, R. Roll, A. Subrahmanyam (2001)
Market Liquidity and Trading Activity, 56
Avramov (2006)
Asset Pricing Models and Financial Market AnomaliesReview of Financial Studies, 19
M. J. Cooper, R. C. Gutierrez, A. Hameed (2004)
Market States and Momentum, 59
L. Gillemot, J. Doyne Farmer, F. Lillo (2006)
There's More to Volatility than Volume, 6
Bai (1997)
Estimation of a Change Point in Multiple Regression ModelsReview of Economics and Statistics, 79
L. Blume, D. Easley, M. O'Hara (1994)
Market Statistics and Technical Analysis: The Role of Volume, 49
H. R. Stoll (2000)
Presidential Address: Friction, 55
A. W. Lo, J. Wang (2009)
The Handbook of Financial Econometrics, Volume 2: Applications
L. Pastor, R. F. Stambaugh (2003)
Liquidity Risk and Expected Stock Return, 111
A. S. Kyle, W. Xiong (2001)
Contagion as a Wealth Effect, 56
J. Wang (1994)
A Model of Competitive Stock Trading Volume, 102
H. R. Stoll (1978)
The Supply of Dealer Services in Securities Markets, 33
J. M. Karpoff (1987)
The Relation between Price Changes and Trading Volume: A Survey, 22
E. F. Fama, K. R. French (1996)
Multifactor Explanations of Asset Pricing Anomalies, 51
T. A. Krause, S. Ehsani, D. D. Lien (2014)
Exchange Traded Funds, Liquidity, and Market Volatility, 24
R. Y. Chou (1988)
Volatility Persistence and Stock Valuations: Some Empirical Evidence Using GARCH, 3
C. G. Lamoureux, W. D. Lastrapes (1990a)
Heteroskedasticity in Stock Returns Data: Volume versus GARCH Effects, 45
P. Weber, B. Rosenow (2006)
Large Stock Price Changes: Volume or Liquidity?, 6
T. J. Brailsford (1996)
The Empirical Relationship between Trading Volume, Returns and Volatility, 36
H. Bessembinder, P. J. Seguin (1993)
Price Volatility, Trading Volume, and Market Depth: Evidence from Futures Markets, 28
N. Jegadeesh, S. Titman (1993)
Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency, 48
D. Kwiatkowski, P. C. B. Phillips, P. Schmidt, Y. Shin (1992)
Testing the Null Hypothesis of Stationarity against the Alternative of a Unit Root, 54
T. Chordia, A. Sarkar, A. Subrahmanyam (2005)
An Empirical Analysis of Stock and Bond Market Liquidity, 18
Bai (2003b)
Critical Values for Multiple Structural Change TestsEconometrics Journal, 1
R. F. Engle, C. W. J. Granger (1987)
Co?integration and Error Correction: Representation, Estimation and Testing, 55
K. Q. Wang, J. Xu (2015)
Market Volatility and Momentum, 30
M. M. Carhart (1997)
On Persistence in Mutual Fund Performance, 52
J. D. Farmer, G. Laszlo, L. Fabrizo, M. Szabolcs, S. Anindya (2004)
What Really Causes Large Price Changes?, 4
C. G. Lamoureux, W. D. Lastrapes (1990b)
Persistence in Variance, Structural Change, and the GARCH Model, 8
T. Ho, H. R. Stoll (1981)
Optimal Dealer Pricing under Transactions and Return Uncertainty, 9
R. Roll, E. Schwartz, A. Subranhmanyam (2007)
Liquidity and the Law of One Price: The Case of the Futures?cash Basis, 62
R. Greenwood (2005)
Short? and Long?term Demand Curves for Stocks: Theory and Evidence on the Dynamics of Arbitrage, 75
W. J. Trainor (2010)
Do Leveraged ETFs Increase Volatility?, 1
G. Cespa, T. Foucault (2014)
Illiquidity Contagion and Liquidity Crashes, 27
Amihud (2002)
Illiquidity and Stock Returns: Cross-section and Time-series EffectsJournal of Financial Markets, 5
Admati (1988)
A Theory of Intraday Patterns: Volume and Price VariabilityReview of Financial Studies, 1
Bai (2003a)
Computation and Analysis of Multiple Structural Change ModelsJournal of Applied Econometrics, 18
M. Cheng, A. Madhavan (2009)
The Dynamics of Leveraged and Inverse Exchange?traded Funds, 7
P. Perron (1989)
The Great Crash, the Oil Shock and the Unit Root Hypothesis, 57
T. Chordia, L. Shivakumar (2002)
Momentum, Business Cycle and Time?varying Expected Returns, 57
This study investigates the relationship between the volatility of stock market indexes and the trading volumes of their exchange traded funds (ETFs). Using both ordinary least squares and generalized autoregressive conditional heteroskedasticity approaches, we demonstrate that the contemporaneous trading volume of S&P 500 ETFs is a key determinant of S&P 500 volatility at both monthly and daily frequencies. Vector autoregressive estimation on the other hand suggests a two‐way Granger causality between S&P 500 volatility and the trading of S&P 500 ETFs. A replication analysis of other market indexes and the corresponding ETFs tracking these indexes confirms that these findings are robust.
International Review of Finance – Wiley
Published: Jan 1, 2017
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.