2,826 research outputs found
Time series analysis for minority game simulations of financial markets
The minority game (MG) model introduced recently provides promising insights
into the understanding of the evolution of prices, indices and rates in the
financial markets. In this paper we perform a time series analysis of the model
employing tools from statistics, dynamical systems theory and stochastic
processes. Using benchmark systems and a financial index for comparison,
several conclusions are obtained about the generating mechanism for this kind
of evolut ion. The motion is deterministic, driven by occasional random
external perturbation. When the interval between two successive perturbations
is sufficiently large, one can find low dimensional chaos in this regime.
However, the full motion of the MG model is found to be similar to that of the
first differences of the SP500 index: stochastic, nonlinear and (unit root)
stationary.Comment: LaTeX 2e (elsart), 17 pages, 3 EPS figures and 2 tables, accepted for
publication in Physica
Analytical calculation of the transition to complete phase synchronization in coupled oscillators
Here we present a system of coupled phase oscillators with nearest neighbors
coupling, which we study for different boundary conditions. We concentrate at
the transition to total synchronization. We are able to develop exact solutions
for the value of the coupling parameter when the system becomes completely
synchronized, for the case of periodic boundary conditions as well as for an
open chain with fixed ends. We compare the results with those calculated
numerically.Comment: 5 pages, 3 figure
Measuring trade-offs among criteria in a balanced scorecard framework: possible contributions from the multiple criteria decision analysis research field
Claimed by the Harvard Business Review as one of the main innovations of recent decades in management systems, the Balanced Scorecard (BSC) has been widely studied and applied in different management contexts. However, despite recent progress and its undeniable merit, the BSC has its own shortcomings. As reported in the literature, it seems generally agreed that the way compensations between criteria within a BSC framework are calculated remains an open issue. Thus, one of the contributions of this study is to augment the theoretical discussion on the potentialities of the multiple criteria decision analysis (MCDA) approach to bring simplicity and transparency to the calculation of compensations (i.e. trade-offs) among evaluation criteria within a BSC framework. It seems important to underline that this paper builds on previous work and is not empirical research. However, it aims to extend the discussion to other (new) measurement contexts. We believe that the development and promotion of the integrated use of MCDA tools in BSC applications to measure trade-offs among evaluation criteria in the BSC framework can be a key factor in ensuring more successful implementations and uses of the BSC within firms
A Multiple Criteria Framework to Evaluate Bank Branch Potential Attractiveness
Remarkable progress has occurred over the years in the performance evaluation of bank branches. Even though financial measures are usually considered the most important in assessing branch viability, we posit that insufficient attention has been given to other factors that affect the branchesâ potential profitability and attractiveness. Based on the integrated used of cognitive maps and MCDA techniques, we propose a framework that adds value to the way that potential attractiveness criteria to assess bank branches are selected and to the way that the trade-offs between those criteria are obtained. This framework is the result of a process involving several directors from the five largest banks operating in Portugal, and follows a constructivist approach. Our findings suggest that the use of cognitive maps systematically identifies previously omitted criteria that may assess potential attractiveness. The use of MCDA techniques may clarify and add transparency to the way trade-offs are dealt with. Advantages and disadvantages of the proposed framework are also discussed.
Local attractors, degeneracy and analyticity: symmetry effects on the locally coupled Kuramoto model
In this work we study the local coupled Kuramoto model with periodic boundary
conditions. Our main objective is to show how analytical solutions may be
obtained from symmetry assumptions, and while we proceed on our endeavor we
show apart from the existence of local attractors, some unexpected features
resulting from the symmetry properties, such as intermittent and chaotic period
phase slips, degeneracy of stable solutions and double bifurcation composition.
As a result of our analysis, we show that stable fixed points in the
synchronized region may be obtained with just a small amount of the existent
solutions, and for a class of natural frequencies configuration we show
analytical expressions for the critical synchronization coupling as a function
of the number of oscillators, both exact and asymptotic.Comment: 15 pages, 12 figure
- âŠ