INVESTIGATING THE IMPACT OF ATM AND POS TERMINALS ON MONEY DEMAND IN NINE EUROPEAN COUNTRIES IN THE CONTEXT OF A RANDOM EFFECT MODEL AS THE APPROPRIATE PANEL DATA MODEL

Payam MOHAMMAD ALIHA

Ph.D student, Universiti Kebangsaan Malaysia (UKM), Malaysia

payammaliha@gmail.com

Tamat SARMIDI

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

tamat@ukm.edu.my

Fathin FAIZAH SAID

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

fatin@ukm.edu.my

Abstract

This study investigates the effects of financial innovations on the demand for money using panel data for 9 European countries from 2014 to 2018. Such models assist in controlling for unobserved heterogeneity when this heterogeneity is constant over time and correlated (fixed effects) or uncorrelated (random effects) with independent variables. Hausman test and Breusch and Pagan Lagrangian multiplier test (LM) both indicate that the random effects model is appropriate. We use the conventional money demand that is enriched with the number of automated teller machines (ATM) and the number of point-of-sale (POS) terminals to proxy for the financial innovations. The estimation result of the chosen random effects regression indicate that the elasticity of the demand for real money to POS is about 10 percent meaning that money demand is not elastic with regard to POS. Also, the estimated coefficient of ATM is not significant.

Keywords: EU, money demand, random effects, fixed effects, financial innovation, panel data

JEL classification: C13, C40, C51, E40, E44

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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

Payam MOHAMMAD ALIHA

Ph.D candidate, Universiti Kebangsaan Malaysia (UKM), Malaysia

payammaliha@gmail.com

Tamat SARMIDI

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

tamat@ukm.edu.my

Fathin FAIZAH SAID

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

fatin@ukm.edu.my

Abstract

This paper investigates the effect of financial innovation on real money demand in the United States using GARCH estimation technique between 1990 and 2016. Ratios of broad money stock to GDP and growth in net domestic credit to GDP were included in a conventional money demand function to account for the financial innovation. The results indicate that neither external shocks (financial innovation) nor internal shocks (previous years’ information) influence the volatility of the money demand.

Keywords: money demand, ARCH/GARCH, financial innovation, internal/external shock

JEL classification: C13, C40, C51, E40, E44
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PAYMENT TECHNOLOGIES AND MONEY DEMAND: EVIDENCE FROM DYNAMIC PANEL

Payam Mohammad ALIHA

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

payammaliha@gmail.com

Tamat SARMIDI

Professor Dr. Faculty of Economics and Management, National University of Malaysia (UKM), Malaysia

tamat@ukm.my

Abu Hassan SHAARI

Professor Dr. Faculty of Economics and Management, National University of Malaysia (UKM), Malaysia

ahassan@ukm.my

Fathin Faizah SAID

Professor Dr. Faculty of Economics and Management, National University of Malaysia (UKM), Malaysia

fatin@ukm.my

Abstract

The banking system has experienced rapid and significant technological changes in recent years, including automated teller machines (ATMs), automated clearing houses, point of sale systems, telephone transfers, automatic bill payer accounts, and credit cards. The total effect of these innovations on money demand has been the subject of some empirical research; however, the individual effect of most of these innovations has not been estimated. This article attempts to partially bridge the gap in the empirical literature by providing empirical evidence relating to the effect of ATMs on money demand in world scale. The demand for money is a very important for the conduct of monetary policy and measurement of the effectiveness of monetary policy. This study attempts to analyse if financial innovations has impacted the demand for money using a system (the original equation and the transformed one) GMM method. In this study, money demand dynamics are examined empirically by using the Blundell–Bond estimator which reinforces Arellano–Bond by making an additional assumption that first differences of instrument variables are uncorrelated with the fixed effects. It makes it possible to introduce more instruments that improve the efficiency considerably. We estimate the demand for money (M2) for a panel of 215 countries and territories from 2004 to 2013. The elasticity of the demand for real money to ATM is about 0.01 percent meaning that the sensitivity of money demand to ATM is low. In other words, money demand is not elastic with regard to ATM.

Keywords: Money demand, ATM, Financial innovation, Dynamic panel data model, GMM

JEL classification: C13, C40, C51, E40, E44

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