115 research outputs found
Forex and equity markets spillover effects among USA, Brazil, Italy, Germany and Canada in the aftermath of the global financial crisis
In this paper, we investigate the spillover effects of FOREX and equity markets for USA, Brazil, Italy, Germany, and Canada on the basis of daily data. We test for contagion co - movements for the period 2010 - 2018 post-global financial crisis, using the trivariate AR - diagonal BEKK model. The estimated dynamic conditional correlations show the strongest contagion effects for the pairs of markets: S&P500 - BOVESPA, S&P500 - FTSEMIB, S&P500 - DAX30, and S&P500 - S&PTSX. For institutions, multinational corporations and active investors, a portfolio consisting of financial assets from the above markets is extremely risky
Analytic Approach for Controlling Realistic Quantum Chaotic Systems
An analytic approach for controlling quantum states, which was originally
applied to fully random matrix systems [T. Takami and H. Fujisaki, Phys. Rev. E
75, 036219 (2007)], is extended to deal with more realistic quantum systems
with a banded random matrix (BRM). The validity of the new analytic field is
confirmed by directly solving the Schroedinger equation with a BRM interaction.
We find a threshold of the width of the BRM for the quantum control to be
successful.Comment: 4 pages with 4 PostScript figures, to appear in the Proceedings of
ICCMSE 2007 in a section of Symposium 8 "Quantum Control and Light-Matter
Interactions: Recent Computational and Theoretical Results
Will gravitational waves confirm Einstein's General Relativity?
Even if Einstein's General Relativity achieved a great success and overcame
lots of experimental tests, it also showed some shortcomings and flaws which
today advise theorists to ask if it is the definitive theory of gravity. In
this proceeding paper it is shown that, if advanced projects on the detection
of Gravitational Waves (GWs) will improve their sensitivity, allowing to
perform a GWs astronomy, accurate angular and frequency dependent response
functions of interferometers for GWs arising from various Theories of Gravity,
i.e. General Relativity and Extended Theories of Gravity, will be the ultimate
test for General Relativity. This proceeding paper is also a short review of
the Essay which won Honorable Mention at the 2009 Gravity Research Foundation
Awards.Comment: To appear in Proceedings of the 7th International Conference of
Numerical Analysis and Applied Mathematics, Rethymno, Crete (near to Chania),
Greece, 18-22 September 200
Reducing Spatial Data Complexity for Classification Models
Intelligent data analytics gradually becomes a day-to-day reality of today's businesses. However, despite rapidly
increasing storage and computational power current state-of-the-art predictive models still can not handle massive and noisy
corporate data warehouses. What is more adaptive and real-time operational environment requires multiple models to be
frequently retrained which fiirther hinders their use. Various data reduction techniques ranging from data sampling up to
density retention models attempt to address this challenge by capturing a summarised data structure, yet they either do
not account for labelled data or degrade the classification performance of the model trained on the condensed dataset. Our
response is a proposition of a new general framework for reducing the complexity of labelled data by means of controlled
spatial redistribution of class densities in the input space. On the example of Parzen Labelled Data Compressor (PLDC) we
demonstrate a simulatory data condensation process directly inspired by the electrostatic field interaction where the data are
moved and merged following the attracting and repelling interactions with the other labelled data. The process is controlled
by the class density function built on the original data that acts as a class-sensitive potential field ensuring preservation of
the original class density distributions, yet allowing data to rearrange and merge joining together their soft class partitions.
As a result we achieved a model that reduces the labelled datasets much further than any competitive approaches yet with
the maximum retention of the original class densities and hence the classification performance. PLDC leaves the reduced
dataset with the soft accumulative class weights allowing for efficient online updates and as shown in a series of experiments
if coupled with Parzen Density Classifier (PDC) significantly outperforms competitive data condensation methods in terms of
classification performance at the comparable compression levels
Fast cooling of trapped ions using the dynamical Stark shift gate
A laser cooling scheme for trapped ions is presented which is based on the
fast dynamical Stark shift gate, described in [Jonathan etal, PRA 62, 042307].
Since this cooling method does not contain an off resonant carrier transition,
low final temperatures are achieved even in traveling wave light field. The
proposed method may operate in either pulsed or continuous mode and is also
suitable for ion traps using microwave addressing in strong magnetic field
gradients.Comment: 4 pages 5 figure
Gravitomagnetic effect in gravitational waves
After an introduction emphasizing the importance of the gravitomag- netic
effect in general relativity, with a resume of some space-based appli- cations,
we discuss the so-called magnetic components of gravitational waves (GWs),
which have to be taken into account in the context of the total response
functions of interferometers for GWs propagating from ar- bitrary directions.Comment: To appear in Proceedings of the 7th International Conference of
Numerical Analysis and Applied Mathematics, Rethymno, Crete (near to Chania),
Greece, 18-22 September 200
Feedback Stabilization Methods for the Numerical Solution of Systems of Ordinary Differential Equations
In this work we study the problem of step size selection for numerical
schemes, which guarantees that the numerical solution presents the same
qualitative behavior as the original system of ordinary differential equations,
by means of tools from nonlinear control theory. Lyapunov-based and Small-Gain
feedback stabilization methods are exploited and numerous illustrating
applications are presented for systems with a globally asymptotically stable
equilibrium point. The obtained results can be used for the control of the
global discretization error as well.Comment: 33 pages, 9 figures. Submitted for possible publication to BIT
Numerical Mathematic
Matrix Structure Exploitation in Generalized Eigenproblems Arising in Density Functional Theory
In this short paper, the authors report a new computational approach in the
context of Density Functional Theory (DFT). It is shown how it is possible to
speed up the self-consistent cycle (iteration) characterizing one of the most
well-known DFT implementations: FLAPW. Generating the Hamiltonian and overlap
matrices and solving the associated generalized eigenproblems
constitute the two most time-consuming fractions of each iteration. Two
promising directions, implementing the new methodology, are presented that will
ultimately improve the performance of the generalized eigensolver and save
computational time.Comment: To appear in the proceedings of 8th International Conference on
Numerical Analysis and Applied Mathematics (ICNAAM 2010
Monetary Union effects on European stock market integration: An international CAPM approach with currency risk
This paper explores the evolution of European stock markets integration with the US stock market, after the formation of European Monetary Union (EMU). To this end, we employ a dynamic version of international CAPM in the absence of purchasing power parity. The conditional covariance matrix of asset returns is estimated employing a parsimonious diagonal BEKK multivariate GARCH-in-mean model. The data sample is daily extending from June 1994 to June 2009. The introduction of world-wide information variables into the system reveals that the formation of monetary union has not exerted positive influence on EMU markets integration with US stock market. Moreover at the same time rolling estimates show that member states domestic or idiosyncratic risks have exhibited a lower volatility level
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