The dynamic relations among return volatility, trading imbalance, and trading volume in futures markets
β Scribed by An-Sing Chen; Hung-Gay Fung; Erin H.C. Kao
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 242 KB
- Volume
- 79
- Category
- Article
- ISSN
- 0378-4754
No coin nor oath required. For personal study only.
β¦ Synopsis
Trading imbalances reflect the quality of market information and may contain more information than the number of trades or trading volume. In order to better understand how trading imbalances play a role different from traditional variables (i.e., number of trades and trading volume) in explaining volatility, we use intraday data to examine the dynamic relations among return volatility, trading imbalances, and traditional variables for E-mini S&P 500 futures and Japanese Yen futures contracts, respectively. The Granger-causality tests indicate strong feedback effects between volatility and trading variables, confirming the informationbased and hedging-based trading. We also compare the results of the traditional volumes and trading imbalances through variance decomposition and impulse responses analysis. It is shown that the sequential arrival of private information through trading imbalance is more important in explaining return volatility than the traditional variables, which are a proxy for the public information.
π SIMILAR VOLUMES
## Abstract In the empirical literature, it has been shown that there exists both linear and nonβlinear biβdirectional causality between trading volumes and return volatility (measured by the square of daily return). We reβexamine this claim by using realized volatility as an estimator of the unobs
## Abstract This article provides evidence of linkages between the equity market and the index futures market in Australia, where the futures market has experienced a major structural event due to the futures contract respecification. A bivariate Exponential Generalized Autoregressive Conditional H