13,693 research outputs found
Self-organized model for information spread in financial markets
A self-organized model with social percolation process is proposed to
describe the propagations of information for different trading ways across a
social system and the automatic formation of various groups within market
traders. Based on the market structure of this model, some stylized
observations of real market can be reproduced, including the slow decay of
volatility correlations, and the fat tail distribution of price returns which
is found to cross over to an exponential-type asymptotic decay in different
dimensional systems.Comment: 8 pages with 7 EPS figures, LaTeX2e with EPJ class; Eur. Phys. J. B,
in pres
X(3915) and X(4350) as new members in P-wave charmonium family
The analysis of the mass spectrum and the calculation of the strong decay of
P-wave charmonium states strongly support to explain the newly observed X(3915)
and X(4350) as new members in P-wave charmonium family, i.e.,
for X(3915) and for X(4350).
Under the P-wave charmonium assignment to X(3915) and X(4350), the
quantum numbers of X(3915) and X(4350) must be and
respectively, which provide the important criterion to test P-wave charmonium
explanation for X(3915) and X(4350) proposed by this letter. The decay behavior
of the remaining two P-wave charmonium states with the second radial excitation
is predicted, and experimental search for them is suggested.Comment: 4 pages, 2 figures, 2 tables. More references and discussions added,
typos corrected. Accepted for publication in Phys. Rev. Lett
Power, Levy, Exponential and Gaussian Regimes in Autocatalytic Financial Systems
We study by theoretical analysis and by direct numerical simulation the
dynamics of a wide class of asynchronous stochastic systems composed of many
autocatalytic degrees of freedom. We describe the generic emergence of
truncated power laws in the size distribution of their individual elements. The
exponents of these power laws are time independent and depend only on
the way the elements with very small values are treated. These truncated power
laws determine the collective time evolution of the system. In particular the
global stochastic fluctuations of the system differ from the normal Gaussian
noise according to the time and size scales at which these fluctuations are
considered. We describe the ranges in which these fluctuations are
parameterized respectively by: the Levy regime , the power law
decay with large exponent (), and the exponential decay. Finally we
relate these results to the large exponent power laws found in the actual
behavior of the stock markets and to the exponential cut-off detected in
certain recent measurement.Comment: 9 pages with 5 figures; Proceedings of EPS conference "Applications
of Physics in Financial Analysis 2", 13 to 15 July 2000 Liege, Belgium (to
appear in Eur. Phys. J. B
AutoEncoder by Forest
Auto-encoding is an important task which is typically realized by deep neural
networks (DNNs) such as convolutional neural networks (CNN). In this paper, we
propose EncoderForest (abbrv. eForest), the first tree ensemble based
auto-encoder. We present a procedure for enabling forests to do backward
reconstruction by utilizing the equivalent classes defined by decision paths of
the trees, and demonstrate its usage in both supervised and unsupervised
setting. Experiments show that, compared with DNN autoencoders, eForest is able
to obtain lower reconstruction error with fast training speed, while the model
itself is reusable and damage-tolerable
- …