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A Study On Islamic Pawn Broking Awareness And Factors Influencing The Scheme In Sungai Petani, Kedah

Author

Listed:
  • Santhi Appannan Author_Email: santhi_appannan@yahoo.com

    (Faculty of Business Management, AIMST University)

  • Gaithry Doris

    (Faculty of Business Management, AIMST University)

Abstract

No abstract is available for this item.

Suggested Citation

  • Santhi Appannan Author_Email: santhi_appannan@yahoo.com & Gaithry Doris, 2011. "A Study On Islamic Pawn Broking Awareness And Factors Influencing The Scheme In Sungai Petani, Kedah," 2nd International Conference on Business and Economic Research (2nd ICBER 2011) Proceeding 2011-271, Conference Master Resources.
  • Handle: RePEc:cms:2icb11:2011-271
    as

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    File URL: http://www.internationalconference.com.my/proceeding/2ndicber2011_proceeding/271-2nd%20ICBER%202011%20PG%201459-1495%20Islamic%20Pawn.pdf
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    References listed on IDEAS

    as
    1. Panda, Chakradhara & Narasimhan, V., 2007. "Forecasting exchange rate better with artificial neural network," Journal of Policy Modeling, Elsevier, vol. 29(2), pages 227-236.
    2. Rapach, David E. & Wohar, Mark E., 2002. "Testing the monetary model of exchange rate determination: new evidence from a century of data," Journal of International Economics, Elsevier, vol. 58(2), pages 359-385, December.
    3. Huang, Haizhou & Wang, Shuilin, 2004. "Exchange rate regimes: China's experience and choices," China Economic Review, Elsevier, vol. 15(3), pages 336-342.
    4. Zhang, Guoqiang & Eddy Patuwo, B. & Y. Hu, Michael, 1998. "Forecasting with artificial neural networks:: The state of the art," International Journal of Forecasting, Elsevier, vol. 14(1), pages 35-62, March.
    5. Soofi, Abdol S. & Cao, Liangyue, 1999. "Nonlinear deterministic forecasting of daily Peseta-Dollar exchange rate," Economics Letters, Elsevier, vol. 62(2), pages 175-180, February.
    6. Chan, Tze-Haw & Lye, Chun Teck & Hooy, Chee-Wooi, 2010. "Forecasting Malaysian Exchange Rate: Do Artificial Neural Networks Work?," MPRA Paper 26326, University Library of Munich, Germany.
    7. Joseph Plasmans & William Verkooijen & Hennie Daniels, 1998. "Estimating structural exchange rate models by artificial neural networks," Applied Financial Economics, Taylor & Francis Journals, vol. 8(5), pages 541-551.
    8. Hooper, Peter & Morton, John, 1982. "Fluctuations in the dollar: A model of nominal and real exchange rate determination," Journal of International Money and Finance, Elsevier, vol. 1(1), pages 39-56, January.
    9. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
    10. Azad, A.S.M. Sohel, 2009. "Random walk and efficiency tests in the Asia-Pacific foreign exchange markets: Evidence from the post-Asian currency crisis data," Research in International Business and Finance, Elsevier, vol. 23(3), pages 322-338, September.
    11. Rakesh K. Bissoondeeal & Jane M. Binner & Muddun Bhuruth & Alicia Gazely & Veemadevi P. Mootanah, 2008. "Forecasting exchange rates with linear and nonlinear models," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 10(4), pages 414-429.
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    More about this item

    Keywords

    Ar Rahnu Scheme; public awareness; cost of loan; confidential; customer service; locality and income level;

    JEL classification:

    • M0 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General

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