Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Modeling the price of Bitcoin with geometric fractional Brownian motion:
  a Monte Carlo approach   The long-term dependence of Bitcoin (BTC), manifesting itself through a Hurst
exponent $H>0.5$, is exploited in order to predict future BTC/USD price. A
Monte Carlo simulation with $10^4$ geometric fractional Brownian motion
realisations is performed as extensions of historical data. The accuracy of
statistical inferences is 10\%. The most probable Bitcoin price at the
beginning of 2018 is 6358 USD.

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The categories of this paper are: econ
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The categories of this paper are: atom-ph
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The categories of this paper are: comp-gas
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The categories of this paper are: eess
9
The categories of this paper are: nlin
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The categories of this paper are: bayes-an
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The categories of this paper are: plasm-ph
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The categories of this paper are: funct-an
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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-th
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The categories of this paper are: adap-org
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The categories of this paper are: patt-sol
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The categories of this paper are: nucl-ex
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The categories of this paper are: physics
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The categories of this paper are: nucl-th
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The categories of this paper are: q-alg