dorsal/arxiv
View SchemaNew statistic for financial return distributions: power-law or exponential?
| Authors | V. F. Pisarenko, D. Sornette |
|---|---|
| Categories | |
| ArXiv ID | physics/0403075 |
| URL | https://arxiv.org/abs/physics/0403075 |
| DOI | 10.1016/j.physa.2005.10.015 |
| Journal | Physica A 366, 387-400 (2006) |
Abstract
We introduce a new statistical tool (the TP-statistic and TE-statistic) designed specifically to compare the behavior of the sample tail of distributions with power-law and exponential tails as a function of the lower threshold u. One important property of these statistics is that they converge to zero for power laws or for exponentials correspondingly, regardless of the value of the exponent or of the form parameter. This is particularly useful for testing the structure of a distribution (power law or not, exponential or not) independently of the possibility of quantifying the values of the parameters. We apply these statistics to the distribution of returns of one century of daily data for the Dow Jones Industrial Average and over one year of 5-minutes data of the Nasdaq Composite index. Our analysis confirms previous works showing the tendency for the tails to resemble more and more a power law for the highest quantiles but we can detect clear deviations that suggest that the structure of the tails of the distributions of returns is more complex than usually assumed; it is clearly more complex that just a power law.
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"abstract": "We introduce a new statistical tool (the TP-statistic and TE-statistic)\ndesigned specifically to compare the behavior of the sample tail of\ndistributions with power-law and exponential tails as a function of the lower\nthreshold u. One important property of these statistics is that they converge\nto zero for power laws or for exponentials correspondingly, regardless of the\nvalue of the exponent or of the form parameter. This is particularly useful for\ntesting the structure of a distribution (power law or not, exponential or not)\nindependently of the possibility of quantifying the values of the parameters.\nWe apply these statistics to the distribution of returns of one century of\ndaily data for the Dow Jones Industrial Average and over one year of 5-minutes\ndata of the Nasdaq Composite index. Our analysis confirms previous works\nshowing the tendency for the tails to resemble more and more a power law for\nthe highest quantiles but we can detect clear deviations that suggest that the\nstructure of the tails of the distributions of returns is more complex than\nusually assumed; it is clearly more complex that just a power law.",
"arxiv_id": "physics/0403075",
"authors": [
"V. F. Pisarenko",
"D. Sornette"
],
"categories": [
"physics.comp-ph",
"physics.data-an",
"q-fin.ST"
],
"doi": "10.1016/j.physa.2005.10.015",
"journal_ref": "Physica A 366, 387-400 (2006)",
"title": "New statistic for financial return distributions: power-law or exponential?",
"url": "https://arxiv.org/abs/physics/0403075"
},
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