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2010
DOI: 10.1108/08288661011090893
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Treating return of mudharabah time deposit as investment instrument

Abstract: Purpose -The purpose of this paper is to propose the development of return forecasting model for mudharabah time deposit product in Islamic bank based on artificial neural networks (ANNs). Design/methodology/approach -The analysis consists of two main elements. First element is the identification and selection of significant macroeconomic variables that determine return volatility of mudharabah time deposit in Indonesian Islamic bank industry. Second element is the implementation of appropriate ANNs model acco… Show more

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Cited by 5 publications
(7 citation statements)
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References 12 publications
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“…In a musharakah and VC contract, partners are exposed to high risk, which is consistent with the financial concept of “high risk, high return” (Wong, 2002; Anwar et al , 2010) and the Islamic legal maxim in business of “no pain, no gain” (Hasan et al , 2011).…”
Section: Literature Reviewsupporting
confidence: 60%
See 2 more Smart Citations
“…In a musharakah and VC contract, partners are exposed to high risk, which is consistent with the financial concept of “high risk, high return” (Wong, 2002; Anwar et al , 2010) and the Islamic legal maxim in business of “no pain, no gain” (Hasan et al , 2011).…”
Section: Literature Reviewsupporting
confidence: 60%
“…2. Given the high risk exposure of mudharabah , Anwar et al (2010) developed a new formula that can capture comprehensive and realistic market movements using an artificial neural network for calculating mudharabah time deposit as an investment instrument.…”
Section: Notesmentioning
confidence: 99%
See 1 more Smart Citation
“…Even though population consists of only five full‐fledged banks but it is comparatively better than the recent studies. For instance, Umaru et al (2011) surveyed four Islamic banks in Saudi Arabia; Anwar et al (2010) used neural network modelling for predicting investment return on Mudarabah time deposits without using any Islamic bank data from Indonesia. Hassan (2009) surveyed only three banks in Brunei Darussalam and Hassan (1999) surveyed only one bank in Bangladesh.…”
Section: Methodsmentioning
confidence: 99%
“…surveyed four Islamic banks in Saudi Arabia;Anwar et al (2010) used neural network modelling for predicting investment return on Mudarabah time deposits without using any Islamic bank data from Indonesia Hassan (2009). surveyed only three banks in Brunei Darussalam andHassan (1999) surveyed only one bank in Bangladesh.…”
mentioning
confidence: 99%