Abstract Given a risk outcome y over a rating system {R_i }_(i=1)^k for a portfolio, we show in this paper that the maximum likelihood estimates with monotonic constraints, when y is binary (the Bernoulli likelihood) or takes values in the interval 0≤y≤1 (the quasi-Bernoulli likelihood), are...

It is well known among practitioners that the seasonal adjustment applied to economic time series could involve several decisions to be made by the econometrician. In this paper, I assess which aggregation strategy delivers the best results for the case of the Chilean GDP 1986-2009 quarterly...

The price-demand relationship in the electricity market is a complicated phenomenon. In order to thoroughly investigate the peculiarities of this relationship, a multi-scale correlation analysis of electricity price and demand is carried out in this research. Using a modified method of socalled...

This paper attempts to codify a standard nomenclature for similarity measures based on recent literature and to advance the field of similarity measures through the introduction of non-binary similarity between more than two attribute vectors.

This paper attempts to codify a standard nomenclature for similarity measures based on recent literature and to advance the field of similarity measures through the introduction of non-binary similarity between more than two attribute vectors.

Serbian. U uslovima izolacije (sankcije međunarodne zajednice) standardni instrumenti ekonomske politike usmereni na uspostavljanje spoljnoekonomske ravnoteže potisnuti su instrumentima monetarne politike, kojima se makroekonomska (ne)ravnoteža autonomno generiše u okviru zatvorenog sistema....

The thesis of this paper is mathematical formulation of the laws of Economics with application of the principle of Least Action of classical mechanics. This paper is proposed as the rigorous mathematical approach to Economics provided by the fundamental principle of the physical science – the...

While the Generalized Error Distribution (GED) has been used quite extensively in time series applications and has demonstrated a sound flexibility in the estimation process, there is so far no attempt to use this function in the construction of Copulas. Copulas are probability functions that...

Discrete time volatility models typically employ a latent scale factor to represent volatility. High frequency data may be used to construct proxies for these scale factors. Examples are the intraday high-low range and the realized volatility. This paper develops a method for ranking and...

I apply the Beveridge-Nelson business cycle decomposition method to the time series of per capita murder of Florida State (1933-2005). Separating out “permanent” from “cyclical” murder, I hypothesize that the cyclical part coincide with documented waves of organized crime, internal...