High-Frequency Data and Volatility in Foreign-Exchange Rates

Bin Zhou

Journal of Business & Economic Statistics, 1996, vol. 14, issue 1, 45-52

Abstract: This article uses tick-by-tick foreign exchange rates to explore the feature of high frequency financial data. In this article, the author proposes a model that explains the negative autocorrelation of high frequency financial time series. The empirical results indicate that the heavy tail of financial time series is mostly caused by the heteroscedasticity of the time series. The estimates of intraday volatility reveal a strong seasonal patter across all currencies.

Date: 1996
References: Add references at CitEc
Citations: View citations in EconPapers (241)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bes:jnlbes:v:14:y:1996:i:1:p:45-52

Ordering information: This journal article can be ordered from
http://www.amstat.org/publications/index.html

Access Statistics for this article

Journal of Business & Economic Statistics is currently edited by Jonathan H. Wright and Keisuke Hirano

More articles in Journal of Business & Economic Statistics from American Statistical Association
Bibliographic data for series maintained by Christopher F. Baum ().