Trading volumes and transaction costs in the foreign market - evidence from daily dollar-yen spot data
Philipp Hartmann
LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library
Abstract:
A Generalized Method of Moments estimation of the determinants of dollar/yen bid-ask spreads is undertaken. In particular, a long time-series of daily spot foreign exchange trading volumes is used for the first time. In line with standard spread models and volume theories, it can be shown that unpredictable foreign exchange turnover (a measure of the rate of information arrival) increases spreads, while predictable turnover decreases them. Both effects are strongly significant when employing spot turnover instead of proxies like forward turnover as in previous studies (Bessembinder, 1994). The results are also found to be robust when unpredictable Reuters quoting frequency is used as an instrument for unpredictable trading volumes to cope with their endogeneity. Spread estimations with plain (non-decomposed) volumes are rejected as misspecified. Finally, there is evidence for the conditional heteroscedasticity of unpredictable spot foreign exchange volumes.
Keywords: foreign exchange markets; bid-ask spreads; trading volumes; time-series analysis; generalized method of moments estimation (search for similar items in EconPapers)
JEL-codes: C32 F31 G15 (search for similar items in EconPapers)
Pages: 21 pages
Date: 1996-01-01
References: Add references at CitEc
Citations:
Downloads: (external link)
http://eprints.lse.ac.uk/119171/ Open access version. (application/pdf)
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:ehl:lserod:119171
Access Statistics for this paper
More papers in LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library LSE Library Portugal Street London, WC2A 2HD, U.K.. Contact information at EDIRC.
Bibliographic data for series maintained by LSERO Manager ().