Detrending Moving Average variance: a derivation of the scaling lawThe Hurst exponent H of long range correlated series can be estimated by means of the Detrending Moving Average (DMA) method. A computational tool defined within the algorithm is the generalized…Sergio Arianos, Anna Carbone·Aug 31, 2006SaveLearn
Monte Carlo simulation of virtual Compton scattering below pion thresholdThis paper describes the Monte Carlo simulation developed specifically for the VCS experiments below pion threshold that have been performed at MAMI and JLab. This simulation generates events…P. Janssens, L. Van Hoorebeke, H. Fonvieille et al.·Aug 31, 2006SaveLearn
Power-law distribution of individual Hirsch indices, the comparison of merits in different fields, and the relation to a Pareto distributionA data set of Hirsch indices, h, for Finnish scientists in certain fields is statistically analyzed and fitted to h(n) =Pnp for the n-th most-quoted scientist. The precoefficient P is…Pekka Pyykko·Aug 29, 2006SaveLearn
Coupled continuous time random walks in financeContinuous time random walks (CTRWs) are used in physics to model anomalous diffusion, by incorporating a random waiting time between particle jumps. In finance, the particle jumps are log-returns…Mark M. Meerschaert, Enrico Scalas·Aug 29, 2006SaveLearn
Maximizing Modularity is hardSeveral algorithms have been proposed to compute partitions of networks into communities that score high on a graph clustering index called modularity. While publications on these algorithms…U. Brandes, D. Delling, M. Gaertler et al.·Aug 25, 2006SaveLearn
Signal discovery in sparse spectra: a Bayesian analysisA Bayesian analysis of the probability of a signal in the presence of background is developed, and criteria are proposed for claiming evidence for, or the discovery of a signal. The method is general…Allen Caldwell, Kevin Kröninger·Aug 25, 2006SaveLearn
The art of fitting financial time series with Levy stable distributionsThis paper illustrates a procedure for fitting financial data with α-stable distributions. After using all the available methods to evaluate the distribution parameters, one can qualitatively…Enrico Scalas, Kyungsik Kim·Aug 23, 2006SaveLearn
Extract Signals by Fitting χ2 Distribution of the Kinematic FitIn measuring the radiative decays at BESII, contribution of the background is serious in most of the final states. To extract the number of signal events, a fit to the χ2 distribution of…Ping Rong-Gang, Mo Xiao-Hu, Du Shu-Xian et al.·Aug 22, 2006SaveLearn
Updating ProbabilitiesWe show that Skilling's method of induction leads to a unique general theory of inductive inference, the method of Maximum relative Entropy (ME). The main tool for updating probabilities is the…Ariel Caticha, Adom Giffin·Aug 17, 2006SaveLearn
The Error in the Two Envelopes ParadoxThe "paradox" arises in the Two Envelopes Paradox from the incorrect formulation of the argument. The infomation given is misused and therefore the results are incorrect for the question…Adom Giffin·Aug 17, 2006SaveLearn
Information filtering via Iterative RefinementWith the explosive growth of accessible information, expecially on the Internet, evaluation-based filtering has become a crucial task. Various systems have been devised aiming to sort through large…P. Laureti, L. Moret, Y. -C. Zhang et al.·Aug 16, 2006SaveLearn
The dependence structure for PARMA models with alpha-stable innovationsIn this paper we investigate the dependence structure for PARMA models (i.e. ARMA models with periodic coefficients) with symmetric alpha-stable innovations. In this case the covariance function is…Joanna Nowicka-Zagrajek, Agnieszka Wylomanska·Aug 13, 2006SaveLearn
Medium and Small Scale Analysis of Financial DataA stochastic analysis of financial data is presented. In particular we investigate how the statistics of log returns change with different time delays τ. The scale dependent behaviour of financial…Andreas P. Nawroth, Joachim Peinke·Aug 9, 2006SaveLearn
Hoelder-exponent-MFDFA-based test for long-range correlations in pseudorandom sequencesWe discuss the problem for detecting long-range correlations in sequences of values obtained by generators of pseudo-random numbers. The basic idea is that the Hölder exponent for a sufficiently…Nikolay K. Vitanov, Kh. Tarnev, H. Kantz·Aug 7, 2006SaveLearn
Multiscale reconstruction of time seriesA new method is proposed which allows a reconstruction of time series based on higher order multiscale statistics given by a hierarchical process. This method is able to model the time series not…A. P. Nawroth, J. Peinke·Aug 7, 2006SaveLearn
Fractal Analysis of River Flow Fluctuations (with Erratum)We use some fractal analysis methods to study river flow fluctuations. The result of the Multifractal Detrended Fluctuation Analysis (MF-DFA) shows that there are two crossover timescales at…M. Sadegh Movahed, Evalds Hermanis·Aug 4, 2006SaveLearn
Multifractal Properties of the Ukraine Stock MarketRecently the statistical characterizations of financial markets based on physics concepts and methods attract considerable attentions. We used two possible procedures of analyzing multifractal…A. Ganchuk, V. Derbentsev, V. Soloviev·Aug 1, 2006SaveLearn
Critical dynamics and global persistence exponent on Taiwan financial marketWe investigated the critical dynamics on the daily Taiwan stock exchange index (TSE) from 1971 to 2005, and the 5-min intraday data from 1996 to 2005. A global persistence exponent θp was…I-Chun Chen, Hsen-Che Tseng, Ping-Cheng Li et al.·Aug 1, 2006SaveLearn
Correlation of worldwide markets' entropies: time-scale approachWe use a new method of studying the Hurst exponent with time and scale dependency. This new approach allow us to recover the major events affecting worldwide markets (such as the September 11th…J. A. O. Matos, S. M. A. Gama, H. J. Ruskin et al.·Jul 31, 2006SaveLearn
Minimum Entropy Density Method for the Time Series AnalysisThe entropy density is an intuitive and powerful concept to study the complicated nonlinear processes derived from physical systems. We develop the minimum entropy density method (MEDM) to detect the…Jeong Won Lee, Joongwoo Brian Park, Hang-Hyun Jo et al.·Jul 30, 2006SaveLearn
Frequency analysis of tick quotes on the foreign exchange market and agent-based modeling: A spectral distance approachHigh-frequency financial data of the foreign exchange market (EUR/CHF, EUR/GBP, EUR/JPY, EUR/NOK, EUR/SEK, EUR/USD, NZD/USD, USD/CAD, USD/CHF, USD/JPY, USD/NOK, and USD/SEK) are analyzed by utilizing…Aki-Hiro Sato·Jul 29, 2006SaveLearn
Asset Price Dynamics in a Financial Market with Heterogeneous Trading Strategies and Time DelaysIn this paper we present a continuous time dynamical model of heterogeneous agents interacting in a financial market where transactions are cleared by a market maker. The market is composed of…Giuseppe Garofalo, Alessandro Sansone·Jul 29, 2006SaveLearn
Beyond the average: detecting global singular nodes from local features in complex networksDeviations from the average can provide valuable insights about the organization of natural systems. This article extends this important principle to the more systematic identification and analysis…Luciano da F. Costa, Marcus Kaiser, Claus Hilgetag·Jul 29, 2006SaveLearn
On the maximum drawdown during speculative bubblesA taxonomy of large financial crashes proposed in the literature locates the burst of speculative bubbles due to endogenous causes in the framework of extreme stock market crashes, defined as falls…Giulia Rotundo, Mauro Navarra·Jul 27, 2006SaveLearn
Econophysics of interest rates and the role of monetary policyThis paper presents empirical evidence using recently developed techniques in econophysics suggesting that the degree of long-range dependence in interest rates depends on the conduct of monetary…Daniel O. Cajueiro, Benjamin M. Tabak·Jul 26, 2006SaveLearn