Tag: Money demand

INVESTIGATING THE EFFECT OF FINANCIAL INNOVATIONS ON THE DEMAND FOR MONEY IN AUSTRALIA USING DOLS AND FMOLS AND COMPARING THEIR PREDICTIVE POWERS

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

In this paper we apply two different estimation methods, namely DOLS and FMOLS to estimate real demand for money in Australia with the inclusion of financial innovations. We use a conventional money demand function that was enriched with a proxy for financial innovations. This sum of the number of cheques, credit cards, charge cards, ATM and direct entry payment was included in the regression model to proxy the effect of financial innovations on the money demand. The results indicate that the estimated coefficient of TPI using DOLS is not significant yet it is highly significant using FMOLS and it bears positive sign so that 1 percent increase in TPI leads to the increase of money demand by 0.24 percent. Also, using “Root Mean Squared Error” as the benchmark for predictive power, we conclude that FMOLS is superior to DOLD when it comes to forecasting.

Keywords: financial innovations, money demand, dynamic OLS, fully modified OLS, forecast

JEL classification: E41, E42, E52

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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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USING ARDL APPROACH TO COINTEHRATION FOR INVESTIGATING THE RELATIONSHIP BETWEEN PAYMENT TECHNOLOGIES AND MONEY DEMAND ON A WORLD SCALE

Payam MOHAMMAD ALIHA

Ph.D candidate, National University of 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

Abu Hassan SHAAR

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

ahassan@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 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.

Keywords: Money demand, Financial innovations, Stability, ARDL, Cointegration.

JEL classification: R21, R32

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