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Statistik

Overview
Works: 5 works in 5 publications in 1 language and 5 library holdings
Roles: Other
Publication Timeline
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Most widely held works by Statistik
Leverage Effect for Volatility with Generalized Laplace Error by Farrukh Javed( )

1 edition published in 2014 in English and held by 1 WorldCat member library worldwide

We propose a new model that accounts for the asymmetric response of volatility to positive (`good news') and negative (`bad news') shocks in economic time series – the so-called leverage effect. In the past, asymmetric powers of errors in the conditionally heteroskedastic models have been used to capture this effect. Our model is using the gamma difference representation of the generalized Laplace distributions that efficiently models the asymmetry. It has one additional natural parameter, the shape, that is used instead of power in the asymmetric power models to capture the strength of a long-lasting effect of shocks. Some fundamental properties of the model are provided including the formula for covariances and an explicit form for the conditional distribution of `bad' and `good' news processes given the past – the property that is important for the statistical fitting of the model. Relevant features of volatility models are illustrated using S&P 500 historical data
Higher order moments of the estimated tangency portfolio weights by Farrukh Javed( )

1 edition published in 2017 in English and held by 1 WorldCat member library worldwide

In this paper we consider the estimated tangency portfolio weights. We derive analytical expressions for the higher central and non-central moments of these weights. The main focus has been given to skewness and kurtosis due to the importance of asymmetry and heavy tails of the data. We complement our results with an empirical study where we analyze an international diversified portfolio
Estimation of solar energy potential for Islamabad, Pakistan by Terragreen 2012: Clean Energy Solutions for Sustainable Environment (CESSE)( )

1 edition published in 2012 in English and held by 1 WorldCat member library worldwide

In order to design a solar energy system with optimized performance a thorough knowledge of solar radiation data for a considerably long period (20-25 years) is a pre-requisite. For developing countries like Pakistan, the need of empirical models to assess the feasibility of solar energy utilization seems inevitable due to the absence and scarcity of trustworthy solar radiation data. We present such models for the capital city of Pakistan, Islamabad to estimate global and diffuse solar radiation. It is found that with the exception of monsoon month, solar energy can be utilized very efficiently throughout the year. The models suggested could be used for most of the north-eastern areas of Pakistan, which are similar to Islamabad with respect to the climate and the availability of solar radiation but lack in the record of solar radiation data
Conditional Two Level Mixture with Known Mixing Proportions Applications to School and Student Level Overweight and Obesity Data from Birmingham, England by Ghazi Shukur( )

1 edition published in 2014 in English and held by 1 WorldCat member library worldwide

Two Level (TL) models allow the total variation in the outcome to be decomposed as level one and level two or ‘individual and group’ variance components. Two Level Mixture (TLM) models can be used to explore unobserved heterogeneity that represents different qualitative relationships in the outcome. In this paper, we extend the standard TL model by introducing constraints to guide the TLM algorithm towards a more appropriate data partitioning. Our constraints-based methods combine the mixing proportions estimated by parametric Expectation Maximization (EM) of the outcome and the random component from the TL model. This forms new two level mixing conditional (TLMc) approach by means of prior information. The new framework advantages are: 1. avoiding trial and error tactic used by TLM for choosing the best BIC (Bayesian Information Criterion), 2. permitting meaningful parameter estimates for distinct classes in the coefficient space and finally 3. allowing smaller residual variances. We show the benefit of our method using overweight and obesity from Body Mass Index (BMI) for students in year 6. We apply these methods on hierarchical BMI data to estimate student multiple deprivation and school Club effects
Investigating Causal Relations between the GDP Cycle and Unemployment Data from Finland by A. Khalik Salman( )

1 edition published in 2014 in English and held by 1 WorldCat member library worldwide

 
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Abteilung Statistik

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