Convergence of Islamic and Conventional Interbank Rates

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Ravindran Ramasamy
Ravindran Ramasamy
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Mohammad Farhad Zangeneh
Mohammad Farhad Zangeneh

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Convergence of Islamic and Conventional  Interbank Rates

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Abstract

Financial Institutions’ (FI) and banks’ earnings on the trading portfolio are significantly influenced by the changing market conditions such as price of an asset, interest rates, market volatility, and market liquidity. Researchers to measure the risk related uncertainty of the FI’s earnings use few Market Risk Measurement Models (MRM). Historic Back Simulation Model is one of the approaches that consider the return on all assets, as non-normal, as against the RiskMetric Model that considers the returns on assets is symmetric. This paper investigates the risk and return associated with Islamic interbank offered rates (IIBOR) in Malaysia using Back Simulation model and the results are compared with the conventional interbank offered rates (CIBOR). On application of the Back Simulation approach over the two different data sets (Yield Rates of IIBOR and CIBOR), it was found that during the de-peg period, the value losses and gains for Islamic trading portfolios were found to be significantly higher at the tail end horizon depeg period. We also conducted independent sample “t” test to compare the mean losses and mean gains reported during these three time periods.

References

21 Cites in Article
  1. Abdul Rahman,Yousri Ahamed (1995). Islamic securities in Muslim Countries stock markets and an assessment of the need for Islamic secondary market.
  2. Abdul Rashid,Hussain (1998). A yield curve for the local debt market.
  3. Philippe Artzner,Freddy Delbaen,Jean-Marc Eber,David Heath (1999). Coherent Measures of Risk.
  4. Peter Burgisser,Alexandre Kurth,Armin Wagner (2001). Incorporating Severity Variations into Credit Risk.
  5. Anil Bangia,Francis Diebold,André Kronimus,Christian Schagen,Til Schuermann (2002). Ratings migration and the business cycle, with application to credit portfolio stress testing.
  6. (1999). 4 Bank Supervision and the Basel Accords.
  7. (2001). The Internal Ratings-Based Approach: Supporting Document to the New Basel Capital Accord.
  8. Dimitris Chorafas (1995). Credit Risk, Market Risk and the Basle Committee on Banking Supervision.
  9. Dimitris Chorafas (1996). Credit Risk, Market Risk and the Basle Committee on Banking Supervision.
  10. S Figlewski (1994). Forecasting Volatility Using Historical Data.
  11. Christopher Finger (1999). Conditional Approaches for CreditMetrics Portfolio Distributions.
  12. R¨udiger Frey,Alexander Mcneil (2002). VaR and expected shortfall in portfolios of dependent credit risks: Conceptual and practical insights.
  13. C Gourieroux,J Laurent,O Scaillet (2000). Sensitivity analysis of Values at Risk.
  14. H Koylouglyu,A Hickman (1998). Credit Risk: Reconcilable differences.
  15. M Laycock,D Paxson (1995). 35th Annual Meeting New England Psychological Association, Gordon College, Wenham, MA, October 27-28, 1995.
  16. Mohammed Akacem,Lynde Gilliam (2002). Principles of Islamic Banking: Debt versus Equity Financing.
  17. Mohsin Khan,Mirakhor (1986). The financial system and monetary policy.
  18. R Rockafellar,Stanislav Tyrrell,Uryasev (2002). Conditional value-at-risk for general loss distributions.
  19. Sudin Haron (1977). Islamic Banking Rules and Regulations.
  20. Nienhaus Volker (1986). The impact of Islamic Economics on Banking Finance and Modern Policy.
  21. Walid Khayrullah (1994). Al-Muqaradah Bonds as the basis of profit sharing.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

. 2013. \u201cConvergence of Islamic and Conventional Interbank Rates\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJMBR-G Volume 13 (GJMBR Volume 13 Issue G3): .

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Issue Cover
GJMBR Volume 13 Issue G3
Pg. 17- 23
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Version of record

v1.2

Issue date

April 9, 2013

Language
en
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Published Article

Financial Institutions’ (FI) and banks’ earnings on the trading portfolio are significantly influenced by the changing market conditions such as price of an asset, interest rates, market volatility, and market liquidity. Researchers to measure the risk related uncertainty of the FI’s earnings use few Market Risk Measurement Models (MRM). Historic Back Simulation Model is one of the approaches that consider the return on all assets, as non-normal, as against the RiskMetric Model that considers the returns on assets is symmetric. This paper investigates the risk and return associated with Islamic interbank offered rates (IIBOR) in Malaysia using Back Simulation model and the results are compared with the conventional interbank offered rates (CIBOR). On application of the Back Simulation approach over the two different data sets (Yield Rates of IIBOR and CIBOR), it was found that during the de-peg period, the value losses and gains for Islamic trading portfolios were found to be significantly higher at the tail end horizon depeg period. We also conducted independent sample “t” test to compare the mean losses and mean gains reported during these three time periods.

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Convergence of Islamic and Conventional Interbank Rates

Ravindran Ramasamy
Ravindran Ramasamy
Mohammad Farhad Zangeneh
Mohammad Farhad Zangeneh

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