Bank Negara Malaysia Maintains OPR at 3.00%

February 5, 2026
Economy
Reuters

On February 5, 2026, Bank Negara Malaysia's Monetary Policy Committee decided to maintain the Overnight Policy Rate (OPR) at 3.00%, in line with market expectations. This decision aims to balance inflation control with supporting economic growth, reflecting a cautious stance on the current economic outlook.

On February 5, 2026, Bank Negara Malaysia's (BNM) Monetary Policy Committee (MPC) announced its decision to maintain the Overnight Policy Rate (OPR) at 3.00%. This decision aligns with broad market expectations, reflecting BNM's cautious monetary policy stance amidst current global economic uncertainties and domestic inflationary pressures. In its statement, BNM noted that the current monetary policy position is supportive of economic growth while ensuring inflation remains at a sustainable level. Despite challenging global economic prospects, Malaysia's domestic demand remains robust. Analysts believe that BNM is likely to consider adjusting interest rates only in the latter half of the year, depending on inflation trends and incoming economic data.
Share:
Sunlight Capital
SUNLIGHTCapital Group

SunLight General Capital is a comprehensive investment company headquartered in New York, USA, founded in 2009. Core business includes solar facility development, financing, acquisition and operations, as well as AI-driven Malaysian stock market research and institutional education.

AI-Powered Investment Platform
New York HQ
575 Lexington Ave, Fl. 12, New York, NY 10022
马来西亚办公室
500 Cliffwood Ave W, Hillsborough, NJ 07721
+1 (212) 286-1801
SunlightCapital8.com

Business Areas

  • Solar Project Development
  • Asset Acquisition & Operations
  • AI Investment Program
  • Institutional Investment Education
550+
Solar Facilities
99.9%
AI Stability

© 2026 SunLight General Capital. All rights reserved.

The content of this website is for reference only and does not constitute investment advice. Investment involves risks, investors should make decisions carefully based on their own circumstances. Past performance of AI programs does not guarantee future results.