scholarly journals Managing Equity Investment Risk and Rate of Return Risk in Islamic Banking: A System Thinking Approach

2021 ◽  
Vol 13 (1) ◽  
pp. 43-64
Author(s):  
Muhammad Farhan ◽  
Hassan Mobeen Alam ◽  
Shaista Jabeen

This study aims to examine and explore the risk management practices with respect to Rate of Return Risk (RORR) and Equity Investment Risk (EIR) in the Islamic Banking Institutions (IBIs) of Pakistan through a systematic model which is called System Dynamic Model (SDM) by using system thinking methodology. This study has been conducted in three sequential phases to develop the qualitative System Dynamic Model for Rate of Return Risk Management and Equity Investment Risk Management. Firstly, the researchers developed preliminary Causal Loop Diagrams (CLD) based on the initial understanding achieved from the causal interconnections between various RORR and EIR characters through extensive literature review. Secondly, the researchers conducted semi-structured interviews with the experts to ratify, endorse and refine the initial CLD. Lastly, the data collected through interviews was analyzed to develop the final refined qualitative SDM. The study's findings indicate that the identification and measurement of the RORR and EIR in IBIs in Pakistan need to be strengthened by developing appropriate methodology. Moreover, the practices adopted by these financial institutions to mitigate and control the exposures of RORR and EIR are good and effective. This Qualitative SDM provides practical, constructive and productive understanding to the managers, policy-makers, regulators, shareholders and scholars regarding the RORR and EIR management mechanism of IBIs of Pakistan.

2021 ◽  
Vol 301 ◽  
pp. 126901
Author(s):  
Tsai-Chi Kuo ◽  
Ni-Ying Hsu ◽  
Reza Wattimena ◽  
I-Hsuan Hong ◽  
Chin-Jung Chao ◽  
...  

Author(s):  
Qiangang Zheng ◽  
Yong Wang ◽  
Chongwen Jin ◽  
Haibo Zhang

The modern advanced aero-engine control methods are onboard dynamic model–based algorithms. In this article, a novel aero-engine dynamic modeling method based on improved compact propulsion system dynamic model is proposed. The aero-engine model is divided into inlet, core engine, surge margin and nozzle models for establishing sub-model in the compact propulsion system dynamic model. The model of core engine is state variable model. The models of inlet, surge margin and nozzle are nonlinear models which are similar to the component level model. A new scheduling scheme for basepoint control vector, basepoint state vector and basepoint output vector which considers the change of engine total inlet temperature is proposed to improve engine model accuracy especially the steady. The online feedback correction of measurable parameters is adopted to improve the steady and dynamic accuracy of model. The modeling errors of improved compact propulsion system dynamic model remain unchanged when engine total inlet temperature of different conditions are the same or changes small. The model accuracy of compact propulsion system dynamic model, especially the measurable parameters, is improved by online feedback correction. Moreover, the real-time performance of compact propulsion system dynamic model and improved compact propulsion system dynamic model are much better than component level model.


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