19,699 research outputs found
Dependence structures in financial time series: a chaos-theoretic approach
Of much interest in financial econometrics is the recovery of joint distributional behaviour of collections of contemporaneous financial time series, e.g., two related commodity price series, or two asset returns series. An approach to model their joint behaviour is to use copulas. Essentially, copulas are selected on the basis of a measure of correlation between the two series and are made to match their marginal properties. Of course, generalisations exist for more than two series. A possible limitation of this approach is that only linear correlations between series might be captured. We consider incorporating more general dependence structures, through the use of the correlation integral (as in the BDS test), as a means to refine the choice of candidate copulas in an empirical situation.Archimedean copula; copula; correlation integral; dependence; Poisson convergence
Edgeworth expansion for the sample autocorrelation function
Fractionally integrated process, introduced independently by Granger and Joyeux (1980) and Hosking (1981), exhibit second-order dependence structures of rich variety, and stir much interest by way of their mathematical properties and their applications in modelling real phenomena. Their mathematical complexity oers signicant challenges in deriving estimates of parameters relating to the long memory behaviour, both in parametric and non-parametric models, with the latter having slower convergence properties. Some seminal papers include those by Yajima (1985), Fox and Taqqu (1986), and Dahlhaus (1988, 1989) on parametric estimation, and by Hurst (1951), Geweke and Porter-Hudak (1983), Robinson (1995) and Hurvich et al. (1998). We have in mind to consider the ACF bootstrap (as it is called), based on a result of Ramsey (1974), which generates a surrogate series
Cosmic-ray acceleration at collisionless astrophysical shocks using Monte-Carlo simulations
Context. The diffusive shock acceleration mechanism has been widely accepted
as the acceleration mechanism for galactic cosmic rays. While self-consistent
hybrid simulations have shown how power-law spectra are produced, detailed
information on the interplay of diffusive particle motion and the turbulent
electromagnetic fields responsible for repeated shock crossings are still
elusive. Aims. The framework of test-particle theory is applied to investigate
the effect of diffusive shock acceleration by inspecting the obtained
cosmic-ray energy spectra. The resulting energy spectra can be obtained this
way from the particle motion and, depending on the prescribed turbulence model,
the influence of stochastic acceleration through plasma waves can be studied.
Methods. A numerical Monte-Carlo simulation code is extended to include
collisionless shock waves. This allows one to trace the trajectories of test
particle while they are being accelerated. In addition, the diffusion
coefficients can be obtained directly from the particle motion, which allows
for a detailed understanding of the acceleration process. Results. The classic
result of an energy spectrum with is only reproduced for parallel
shocks, while, for all other cases, the energy spectral index is reduced
depending on the shock obliqueness. Qualitatively, this can be explained in
terms of the diffusion coefficients in the directions that are parallel and
perpendicular to the shock front.Comment: 12 pages, 15 figures, accepted for publication in A&
Binary time series generated by chaotic logistic maps
This paper examines stochastic pairwise dependence structures in binary time series obtained from discretised versions of standard chaotic logistic maps. It is motivated by applications in communications modelling which make use of so-called chaotic binary sequences. The strength of non-linear stochastic dependence of the binary sequences is explored. In contrast to the original chaotic sequence, the binary version is non-chaotic with non-Markovian non-linear dependence, except in a special case. Marginal and joint probability distributions, and autocorrelation functions are elicited. Multivariate binary and more discretised time series from a single realisation of the logistic map are developed from the binary paradigm. Proposals for extension of the methodology to other cases of the general logistic map are developed. Finally, a brief illustration of the place of chaos-based binary processes in chaos communications is given.Binary sequence; chaos; chaos communications; dependence; discretisation; invariant distribution; logistic map; randomness
Does Company Specific News Effect the US, UK, and Australian Markets within 60 minutes?
The efficient market hypothesis states that an efficient market rapidly incorporates all available information into the price of the asset. It has been well established that no market, particularly the stock market, is truly efficient as there are too many traders with differing strategies, and differing access to and interpretation of information. Despite this there is considerable evidence that the stock market does assimilate new information into prices. There has however been little research into the intraday effect of company specific news. In this paper we investigate the intraday effect of company specific news on the US, UK, and Australian markets. We use a scheme to determine whether the markets react to news by determining the likelihood of certain events occurring, and the likelihood of news occurring within 60 minutes of them, and compare the two. We find that there is strong evidence that these markets do react to news within 60 minutes, and indicate which events are most likely to correlate to news.Return; Volatility; News
IMPOSING MONOTONICITY AND CURVATURE ON FLEXIBLE FUNCTIONAL FORMS
Replaced with revised version of paper 05/29/04.Research Methods/ Statistical Methods,
Constraints on the development of coal mining in arctic Alaska based on review of Eurasian arctic practices
Arctic Alaska's enormous reserves of coal may be a significant future source of energy for the United States and for the Pacific Basin. Large coal reserves have been developed in the Arctic portions of Eurasia, where
problems similar to those that might be encountered in Alaska have already been faced. To determine the nature of these problems, the Mineral Industry
Research Laboratory of the University of Alaska, under contracts S 0133057 with the U.S. Bureau of Mines, has conducted a literature review on Eurasian coal mining and visited mines in Svalbard, Norway; Carmacks, Y.T.; and Healy, Alaska. The purpose was to establish the most significant physical constraints which may apply to the eventual development of Northwestern Arctic Alaskan coal.Contract S 0133057 with the U.S. Bureau of Mine
Adaptive orthogonal series estimation in additive stochastic regression models
In this paper, we consider additive stochastic nonparametric regression models. By approximating the nonparametric components by a class of orthogonal series and using a generalized cross-validation criterion, an adaptive and simultaneous estimation procedure for the nonparametric components is constructed. We illustrate the adaptive and simultaneous estimation procedure by a number of simulated and real examples.Adaptive estimation; additive model; dependent process; mixing condition; nonlinear time series; nonparametric regression; orthogonal series; strict stationarity; truncation parameter
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