Application of system dynamic in Takaful model /Arwin Idham Mohamad

Idham Mohamad, Arwin (2014) Application of system dynamic in Takaful model /Arwin Idham Mohamad. Masters thesis, Universiti Teknologi MARA.


Takaful, the Islamic alternative to conventional insurance is based on the concept of social solidarity, cooperation and mutual indemnification of losses of members. The 'transparency' offered in the Takaful system will eliminates the elements of gharar (uncertainty), maisir (gambling), and riba (usury). Because of the dynamicity and the complexity of the cash flows in the Takaful system, the application of system dynamic approach is used in order to discover the possible internal and external impact in the assumptions used in determining contributions rate from the participants. The traditional approach is limited because it is not able to determine the effect of changes in actual experience, and hence, does not allow the management to make decisions on how to continuously become solvent and may cause the operators to stop issuing contracts or products. Using system dynamic, these possible effects from the actual experience can be determined in terms of amounts transferred to shareholder's fund and the result obtained can assist the management to decide which assumptions to be used so that the operators will continue solvent and making profit at the same time. The results of System Dynamic simulation analysis in this paper represent the impact of changes of components in the takaful model. This result can be used as a decision tools to the takaful operator in order to determine the best assumptions and strategies in order to maximize their profits.


Item Type: Thesis (Masters)
CreatorsID Num. / Email
Idham Mohamad, ArwinUNSPECIFIED
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty Computer and Mathematical Sciences
Item ID: 16364
Uncontrolled Keywords: System dynamic; Takaful model


[img] Text

Download (7MB)


Fulltext is available at:

ID Number


Actions (login required)

View Item View Item


Downloads per month over past year