Electronic banking and the stability of money demand function: Markov Switching Vector Auto Regression Model

IN ACCORDANCE TO DEVELOPMENT OF INFORMATION AND COMMUNICATION TECHNOLOGY IN IRAN، ELECTRONIC BANKING HAS BEEN DEVELOPED IN RECENT DECADE. A MEANINGFUL TRANSFORMATION HAS BEEN PLACED IN THE STYLE OF EXISTING BANKING SYSTEM SERVICES، BY SIGNIFICANT INCREASE IN THE USE OF ELECTRONIC BANKING TOOLS IN TEN YEARS. THE REFLECTION OF THIS PHENOMEN IS CLEAR IN THE BEHAVIOR OF PEOPLE AND BANKING SYSTEM WHO CARE ABOUT CASH، MONEY DEMAND PREFRENCES AND VARIATION IN THE COMPOSITION OF BANK RESOURCES. THEREFORE; EFFECTIVENESS OF E-BANKING ON VARIABLES SUCH AS MONEY DEMAND IS A TOPIC WHICH APPEARS ESSENTIAL TO STUDY. DEMAND MONEY FUNCTION IS ONE OF THE MAIN IMPORTANT PARTS OF MONETARY SYSTEM AND PLAY CRUCIAL ROLE IN TRANSMISSION OF MONETARY POLICY TO THE REAL ECONOMIC SECTION. THE IMPACT OF THIS ON OTHER COMPONENT OF ECONOMIC SYSTEM، BOTH MONETARY AND NON-MONETARY IS INEVITABLE. IN OTHER WORDS، TO ANALYZE MONETARY ISSUES AND SOLVING THE PROBLEMS، IT IS NECESSARY TO UNDERSTAND THE NATURE OF MONEY DEMAND. IN THIS PAPER، THE DEMAND FUNCTION HAS BEEN ESTIMATED BY USING AR METHOD AND ENTERING EXOGENOUS VARIABLES IN MARKOV SWITCHING VECTOR AUTO REGRESSION MODEL. FOR MODELING OF MONEY DEMAND FUNCTION، SEASONAL DATA BETWEEN 2002 TO 2011 HAVE BEEN USED. ALSO THE EFFECT OF TRANSACTION VOLUME THROUGH POINT OF SALE (POS) AND AUTOMATIC TELLER MACHINE (ATM) AS EN-BANKING INDEX HAS BEEN DETERMINED. ACCORDING TO STABILITY TESTS، ESTIMATING THE MONEY DEMAND WICHE CONTAIN EN-BANKING VARIABLES IS UNSTABLE. THERFOR، IT CAN BE STATED THAT THE RESULTS OF FISCAL AND MONETARY POLICIES OF THE CENTRAL BANK AND THE GOVERNMENT TO ACHIEVE ITS GOALS DUE TO UNCERTAIN DEMAND MONEY POSITION، SOMETIMES IS REVERSED.