Mercik, Szymon and Weron, Rafal (2002): Origins of scaling in FX markets.
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Abstract
Typical data sets employed by economists and financial analysts do not exceed a few hundred or thousand observations per series. However, in the last decade data sets containing tick-by-tick observations have become available. The studies of these data have turned up new and interesting facts about the pricing of assets.
In this article we show that foreign exchange (FX) rate returns satisfy scaling with an exponent significantly different from that of a random walk. But what is more important, we also show that the conditionally exponential decay (CED) model can be used to solve a long standing problem in the analysis of intra-daily data, i.e. it can be used to identify the mathematical structure of the distributions of FX returns corresponding to the empirical scaling laws.
Item Type: | MPRA Paper |
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Institution: | Hugo Steinhaus Center, Wroclaw University of Technology |
Original Title: | Origins of scaling in FX markets |
Language: | English |
Keywords: | FX market; scaling law; volatility; CED model; high frequency data |
Subjects: | C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C46 - Specific Distributions ; Specific Statistics F - International Economics > F3 - International Finance > F31 - Foreign Exchange C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C13 - Estimation: General |
Item ID: | 2294 |
Depositing User: | Rafal Weron |
Date Deposited: | 17 Mar 2007 |
Last Modified: | 27 Sep 2019 08:20 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/2294 |