## Abstract This article presents a comprehensive study of continuous time GARCH (generalized autoregressive conditional heteroskedastic) modeling with the thintailed normal and the fatโtailed Student'sโt and generalized error distributions (GED). The study measures the degree of mean reversion in
Clustering in the futures market: Evidence from S&P 500 futures contracts
โ Scribed by Adam L. Schwartz; Bonnie F. Van Ness; Robert A. Van Ness
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 129 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0270-7314
No coin nor oath required. For personal study only.
โฆ Synopsis
Abstract
We document trade price clustering in the futures markets. We find clustering at prices of x.00 and x.50 for
S&P 500 futures contracts. While trade price clustering is evident throughout time to maturity of these
contracts, there is a dramatic change when the S&P 500 futures contract is designated a frontโmonth
contract (decrease in clustering) and a backโmonth contract (increase in clustering).
We find that trade price clustering is a positive function of volatility and a negative function of volume or open
interest. In addition, we find a high degree of clustering in the daily opening and closing prices, but a lower
degree of clustering in the settlement prices. ยฉ 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:413โ428,
2004
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