Deutsche Bank reported a record third-quarter post-tax profit of €1.9 billion, with pretax profit up 8% to €2.6 billion and revenue up 4% to…
The ringgit strengthened against the US dollar as confidence in Malaysia’s economic fundamentals and technology-related investment inflows supported the local currency.
The latest available Bank Negara Malaysia reference rates for October 26 had placed the US dollar at RM4.0855.
US stock indices fell as rising oil prices and geopolitical tensions affected sentiment ahead of the Federal Reserve's policy meeting.
China's commerce ministry said a US Treasury proposal adding biotechnology and widening curbs on computing and hypersonics investment would damage bilateral ties, and reserved…
MPRC, Turkmennebit Forge Partnership to Expand Malaysian OGSE Opportunities in Turkmenistan
Ringgit closed flat against the US dollar as investors stayed cautious ahead of next week’s Federal Reserve meeting.
Wall Street rebounded as technology stocks recovered, while investors awaited major earnings and monitored global market risks.
Sarawak seeks data centre investments that create jobs, industries and local value rather than simply expanding capacity.
Japanese Finance Minister Satsuki Katayama told the IMF's steering committee in Bangkok that Tokyo's food tax cut and new income-based benefits will be funded…
ECB President Christine Lagarde told the IMF's steering committee that the Middle East energy shock warrants a measured policy response, with euro area inflation…
Malaysia’s stronger-than-expected 5.3% third-quarter GDP growth is expected to support the ringgit and boost economic confidence.
Tambadana wins Best SME HR Tech Award, recognised for innovation in employee experience at HR Tech & Innovations Expo 2026.
Economists expect the ringgit to trade at RM4.07-RM4.08 against the US dollar and see Budget 2027 backing the currency and bonds over the medium…
The ringgit strengthened against the US dollar and major currencies, supported by positive sentiment following Budget 2027.
Increased AI sophistication has heightened financial fraud risks, necessitating thorough identity verification and shared responsibility between institutions and consumers to rebuild trust.
