Regional Markets Mixed as Fed Rate Cut Expectations Influence Sentiment

February 6, 2026
Global Markets
Reuters

Major Southeast Asian markets showed mixed performance on Friday, with Singapore and Hong Kong posting modest gains, while adjusted expectations for US interest rate cuts continued to influence investor sentiment across the region. Global economic data also played a role in shaping market directions.

Southeast Asian regional markets displayed a mixed performance on Friday. Singapore's Straits Times Index (STI) edged up 0.2% to close at 3,205 points, supported by banking and property counters. Hong Kong's Hang Seng Index (HSI) also gained 0.35% to 16,050 points, buoyed by a rebound in technology stocks. However, markets in Indonesia and Thailand saw slight declines. Investors continue to closely monitor the US Federal Reserve's monetary policy path, with recent strong US economic data leading to a recalibration of expectations for Fed rate cuts, introducing some uncertainty into regional markets. Despite this, the Malaysian stock market showed relative resilience, benefiting from domestic economic robustness and stable commodity prices.
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.