osu bright (7 resultados)

Taschenbuch. Condición: Neu. Harmonized Fractal Dimensional Measure | Bright O. Osu (u. a.) | Taschenbuch | 64 S. | Englisch | 2015 | Scholars' Press | EAN 9783639764109 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Herein is proposed a dimensional risk measure based on harmonized fractal behaviour by analysing the probability survival distribution of the returns with aim to quantify the incurred risk, test for coherency and compare the subsequent dimension measures with the harmonized fractal measure (HFM). The advantage of our approach is that this measure is act as maximum entropy to the original fractal measure, adjusts the true fractal measure to give more weight to higher dimension risk events. Here the risk and its capital requirement are harmonized on fractal dimensional measure. It is a much simplified model and could be used as a guide to obtain portfolio selection policies that are nearly as good as the optimal ones from practical concern. Also as a device to determine the likelihood estimators of random variable of real life data set in finance logistics in capturing the dynamic natures of financial markets on tradeoffs between time specific risk, loss occurring at a point in time or dimensions. We have shown here that HFD measure satisfy the condition for subadditive and, translative invariant hence coherent while FDM does not because the covering set are all taken to be equal. 64 pp. Englisch.

Condición: New. Print on Demand pp. 64.

Condición: New. PRINT ON DEMAND pp. 64.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Osu Bright O.Bright O. Osu works in the Department of Mathematics Abia State University as a Senior Lecturer. His research interest includes: Stochastic Approximation, Probability Theory and BSDE, SDE with application in Finance. Obi.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Herein is proposed a dimensional risk measure based on harmonized fractal behaviour by analysing the probability survival distribution of the returns with aim to quantify the incurred risk, test for coherency and compare the subsequent dimension measures with the harmonized fractal measure (HFM). The advantage of our approach is that this measure is act as maximum entropy to the original fractal measure, adjusts the true fractal measure to give more weight to higher dimension risk events. Here the risk and its capital requirement are harmonized on fractal dimensional measure. It is a much simplified model and could be used as a guide to obtain portfolio selection policies that are nearly as good as the optimal ones from practical concern. Also as a device to determine the likelihood estimators of random variable of real life data set in finance logistics in capturing the dynamic natures of financial markets on tradeoffs between time specific risk, loss occurring at a point in time or dimensions. We have shown here that HFD measure satisfy the condition for subadditive and, translative invariant hence coherent while FDM does not because the covering set are all taken to be equal.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Herein is proposed a dimensional risk measure based on harmonized fractal behaviour by analysing the probability survival distribution of the returns with aim to quantify the incurred risk, test for coherency and compare the subsequent dimension measures with the harmonized fractal measure (HFM). The advantage of our approach is that this measure is act as maximum entropy to the original fractal measure, adjusts the true fractal measure to give more weight to higher dimension risk events. Here the risk and its capital requirement are harmonized on fractal dimensional measure. It is a much simplified model and could be used as a guide to obtain portfolio selection policies that are nearly as good as the optimal ones from practical concern. Also as a device to determine the likelihood estimators of random variable of real life data set in finance logistics in capturing the dynamic natures of financial markets on tradeoffs between time specific risk, loss occurring at a point in time or dimensions. We have shown here that HFD measure satisfy the condition for subadditive and, translative invariant hence coherent while FDM does not because the covering set are all taken to be equal.