Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Markov Chains application to the financial-economic time series
  prediction   In this research the technology of complex Markov chains is applied to
predict financial time series. The main distinction of complex or high-order
Markov Chains and simple first-order ones is the existing of aftereffect or
memory. The technology proposes prediction with the hierarchy of time
discretization intervals and splicing procedure for the prediction results at
the different frequency levels to the single prediction output time series. The
hierarchy of time discretizations gives a possibility to use fractal properties
of the given time series to make prediction on the different frequencies of the
series. The prediction results for world's stock market indices is presented.

33
The categories of this paper are: plasm-ph
34
The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom
6
The categories of this paper are: astro-ph
26
The categories of this paper are: bayes-an
27
The categories of this paper are: comp-gas
19
The categories of this paper are: eess
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
16
The categories of this paper are: stat
18
The categories of this paper are: econ
25
The categories of this paper are: patt-sol
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
1
The categories of this paper are: cs
13
The categories of this paper are: quant-ph