In this study we combine clustering techniques with a moving window algorithm in order to filter financial market data outliers. We apply the algorithm to a set of financial market data which consists of 25 series selected from a larger dataset using a cluster analysis technique taking into...

Using the statistical technique of fuzzy clustering, regimes of inflation and unemployment are explored for the United States, the United Kingdom and Germany between 1871 and 2009. We identify for each country three distinct regimes in inflation/unemployment space. There is considerable...

In this paper, we present a case study, which describe the development of the Statistic e-learning-course in Arabic language -"Arabic MM*STAT". The basic frame for this E-book, the system MM*STAT was developed at the School for Business and Economics of Humboldt-Universita͏̈t zu Berlin. Arabic...

The dynamics of hourly electricity prices in day-ahead markets is an important element of competitive power markets that were only established in the last decade. In electricity markets, the market microstructure does not allow for continuous trading, since operators require advance notice in...

E-learning plays an important role in education as it supports online education via computer networks and provides educational services by utilising information technologies. We present a case study describing the development of an Arabic language elearning course in statistics. Discussed are...

In this paper, we conducted a detailed statistical analysis of the behavior of the Mexican CPI price variations from May 2003 to August 2006. Different methodologies allowed identification of possible classification problems of the subindexes and inflationary pressures on specific items during...

This paper studies the dynamics of Mexican inflation by using a wavelet multiresolution analysis on 16 indexes of the Mexican Consumer Price Index. This enables us to estimate the long-term trend, seasonality, and local shocks of the inflation series, even when the series are non-stationary. The...

In this paper we do a statistical analysis of the Mexican Consumer Price Index microdata set to characterize the rigidities of the price setting process in the different sectors of the Mexican economy. The microdata set goes from July 2002 to December 2009. Broadly, results show that there...

We introduce Longitudinal Factor Analysis (LFA) to extract the Common Risk Free (CRF) rate from a sample of sovereign bonds of countries in a monetary union. Since LFA exploits the typically very large longitudinal dimension of bond data, it performs better than traditional factor analysis...

This paper applies different copulas in order to investigate the complex dependence structure between EU emission allowance (EUA) futures returns and those of other commodities, equity and energy indices. The analysis yields important insights into the relationship between carbon, commodities...