Sukuk Rating Prediction: The Case of Corporate Sukuk in Indonesia.
The objective of this research is to discover how to set a rating for sukuk and to assess the factors that significantly influence sukuk ratings in Indonesia. The study contributes in reducing asymmetric information between investors and issuers by providing information on variables that affect suku...
| Publicado en: | Pertanika Journal of Social Sciences & Humanities Vol. 27; no. S2; pp. 63 - 78 |
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| Autores principales: | , |
| Formato: | Artículo |
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Universiti Putra Malaysia
2019 Special Issue
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=159680388&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 159680388 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01287702 TKQ jtl: Pertanika Journal of Social Sciences & Humanities issn: 01287702 maglogo: N pubinfo: dt: 2019 Special Issue vid: 27 iid: S2 pid: 20751 pub: Universiti Putra Malaysia artinfo: ui: 159680388 ppf: 63 ppct: 15 formats: fmt: @attributes: type: P size: 2.9MB tig: atl: Sukuk Rating Prediction: The Case of Corporate Sukuk in Indonesia. aug: au: Ismail, Nabila Arundina, Tika affil: Islamic Economics and Islamic Business Program, Faculty of Economics and Business, Universitas Indonesia, Depok, 16424, West Java, Indonesia su: Credit ratings Islamic bonds Securities Bonds (Finance) Indonesia sug: subj: Indonesia Credit ratings Islamic bonds Securities Bonds (Finance) keyword: Credit rating sukuk sukuk rating ab: The objective of this research is to discover how to set a rating for sukuk and to assess the factors that significantly influence sukuk ratings in Indonesia. The study contributes in reducing asymmetric information between investors and issuers by providing information on variables that affect sukuk rating. Not all securities are being rated by the agencies, the suggested model, therefore could be used as one of references to compare between the non- rated securities and the rated ones in order to guide investor in their buying or selling strategy. The study applies multinomial logistic regression in order to predict the sukuk ratings made by PT. Pefindo using several independent variables such as total assets, long-term leverage ratio, current ratio, interest coverage ratio, Return on Assets (ROA), guarantees and sukuk structure. The result shows that this model could predict 90.1% of sukuk rating issuance by PT. Pefindo. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Pertanika Journal of Social Sciences & Humanities is the property of Universiti Putra Malaysia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Pertanika Journal of Social Sciences & Humanities holder: Universiti Putra Malaysia dt: @attributes: year: 2019 holdings: @attributes: islocal: N |
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