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.
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
2294.
Find related papers by JEL classification: C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions F31 - International Economics - - International Finance - - - Foreign Exchange C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation
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