
Bayesian Model Averaging in Exchange Rate of Malaysia Ringgit to China Yuan Renminbi
Author(s) -
Humaida Banu Samsudin,
Tan Li Ping
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b7079.129219
Subject(s) - renminbi , exchange rate , depreciation (economics) , economics , econometrics , openness to experience , china , estimation , currency , value (mathematics) , context (archaeology) , monetary economics , geography , statistics , mathematics , psychology , social psychology , management , capital formation , archaeology , financial capital , economic growth , human capital
The depreciation of Malaysia Ringgit (MYR) value since 2013 until 2016 have brought many negative impacts on Malaysia’s economy such as the depreciation of export value and the appreciation of import value. Such impacts are getting more severe when the exchange rate of MYR to the currency of Malaysia’s biggest trading partner, China Yuan Renminbi (CNY) is increasing. The study is conducted to explain the movement in the exchange rate of Malaysia Ringgit to China Yuan Renminbi (MYR/CNY). The four macroeconomic factors used to build the estimation models for the exchange rate of MYR/CNY in this study are relative current account balance, relative trade openness, relative sovereign debt, crude oil price. The estimation models are built using two different methods, Bayesian Model Averaging (BMA) and Multiple Linear Regression (MLR). The comparison of the results from the two models in the context of model accuracy shows that BMA model has better performance capability than MLR model in estimating the exchange rate of MYR/CNY