Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Modelling the growth of Pension Funds
Details
The current demographic shift of the Kenya ageing population, stress an increasing demand for pension schemes in all employment sectors. Unlike Kenya all over the world there have been pension reforms to arrest this population trend since it threatens the sustainability of the country s economy. The laws currently governing the pension industry do not encourage mandatory setting up of pension scheme by registered companies, small-scale enterprises and any other organisation in Kenya. Currently we have very many company and registered organisation that do not have retirement benefits plan or any other old age saving for the current employed workforce. This creates a risk of having future old age population that is dependant to the working population. For the purpose of this research I am cross examining at the various types of pension scheme in Kenya particularly the private pension scheme and the growth of the pension funds over a given period. Furthermore, this research project also examines the current private sector employee and expected future growth modelled based on generalized linear model.
Autorentext
Mr. Johnstone Semo Akwimbi Academic Qualification: M.Sc Actuarial Science (University of Nairobi-Kenya)-2014 B.Sc Actuarial Science(University of Nairobi-Kenya)-2007Work Experience: Worked with leading insurance companies in Kenya for 7 year in pension administration.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783659639630
- Sprache Englisch
- Größe H220mm x B150mm x T4mm
- Jahr 2014
- EAN 9783659639630
- Format Kartonierter Einband (Kt)
- ISBN 365963963X
- Veröffentlichung 09.12.2014
- Titel Modelling the growth of Pension Funds
- Autor Johnstone Semo Akwimbi
- Untertitel Using generalized linear model: Gamma Regression
- Gewicht 102g
- Herausgeber LAP LAMBERT Academic Publishing
- Anzahl Seiten 56
- Genre Mathematik