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Using Ardl Approach To Cointehration For Investigating The Relationship Between Payment Technologies And Money Demand On A World Scale

Author

Listed:
  • Payam MOHAMMAD ALIHA

    (Ph.D candidate, National University of Malaysia (UKM), Malaysia)

  • Tamat SARMIDI

    (Associate Professor Dr. at Faculty of Economics and Management, Universiti Kebangsaan Malaysia (UKM), Malaysia)

  • Abu Hassan SHAAR

    (Professor Dr. at Faculty of Economics and Management, Universiti Kebangsaan Malaysia (UKM), Malaysia)

  • Fathin FAIZAH SAID

    (Dr. at Faculty of Economics and Management, Universiti Kebangsaan Malaysia (UKM), Malaysia)

Abstract
This paper estimates the relationship between financial innovation and money demand in world countries with a focus on the number of automated teller machines (ATMs) using the ARDL approach to cointegration. In this study, we estimated a conventional money demand model with currency in circulation (M2) as dependent variable and gross domestic product (GDP, constant 2005 US$), interest rate (IRATE), the number of automated teller machines per 100,000 adults (ATM) to take into account for the effects of financial innovation as dependent variables. It covers 215 countries and territories over the period 2004-2013. This paper adopts the bounds testing procedure developed by Pesaran et al. (2001) to test the stability of the long-run money demand and determine the short-run dynamics for all of the countries as a whole. The empirical evidence points to the existence of long-run and cointegrating relationships between variables meaning all of these variables move together in the long run. The speed of adjustment toward long run equilibrium is - 0.4345 which means that the whole system gets back to long run equilibrium at the speed of 43.45 percent. The results confirm that in the short-run, ATM does not impact money demand.

Suggested Citation

  • Payam MOHAMMAD ALIHA & Tamat SARMIDI & Abu Hassan SHAAR & Fathin FAIZAH SAID, 2017. "Using Ardl Approach To Cointehration For Investigating The Relationship Between Payment Technologies And Money Demand On A World Scale," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 29-37, December.
    • Handle: RePEc:hrs:journl:v:ix:y:2017:i:2:p:29-37
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    References listed on IDEAS

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    Cited by:

    1. Courage Mlambo, 2022. "China in Africa: An Examination of the Impact of China’s Loans on Growth in Selected African States," Economies, MDPI, vol. 10(7), pages 1-27, June.
    2. Payam MOHAMMAD ALIHA & Tamat SARMIDI & Fathin FAIZAH SAID, 2018. "Investigating The Effect Of Financial Innovations On The Demand For Money In Australia Using Dols And Fmols And Comparing Their Predictive Powers," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 17-30, July.
    3. Payam MOHAMMAD ALIHA & Tamat SARMIDI & Fathin FAIZAH SAID, 2018. "Investigating The Impact Of Financial Innovation On The Volatility Of The Demand For Money In The United Stated In The Context Of An Arch/Garch Model," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(1), pages 19-26, June.
    4. Nazif Durmaz & Tairu Jie, 2024. "Money demand in Mexico: a nonlinear ARDL approach," Economics and Business Letters, Oviedo University Press, vol. 13(1), pages 20-28.

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    More about this item

    Keywords

    Money demand; Financial innovations; Stability; ARDL; Cointegration.;
    All these keywords.

    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis

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