This study examines the causal effects of the key characteristics of Monetary Policy Statement (MPS) on the decision made for the overnight policy rate (OPR). It constructs the monetary data on hawkish and dovish sentiment from 106 MPS released by Bank Negara Malaysia (BNM) between May 2004 and November 2020, by using text mining method. Data were mined by identifying selected 12 hawkish and dovish words as well as the characteristics of MPS. \u00a0The findings showed that MPS content can be used to predict OPR decision. The study further found that while hawkishness is associated with a decision of increased OPR, dovishness is conversely related with a decision of decreased OPR. Accordingly, the study established that the day of the week when a particular MPS is released, together with Zeti\u2019s leadership in May 2000 – April 2016 period, are factors associated with decisions to increase OPR. However, the number of days between two MPS statements are released is shown to be associated with OPR decrease. This study therefore suggests that MPS release appear predictive of BNM\u2019s monetary conduct.<\/p>\n","protected":false},"template":"","tags":[1638,1639,53,1640,1641,1642],"jel-code":[1274,1268],"article-type":[1329],"class_list":["entry","author-asriwn","post-8133","article","type-article","status-publish","tag-dovish","tag-hawkish","tag-malaysia","tag-monetary-policy-statement","tag-overnight-policy-rate","tag-sentiment-data","jel-code-e52","jel-code-e58","article-type-normal-article"],"yoast_head":"\n