Thailand: Policy cut case builds – UOB
UOB economists Enrico Tanuwidjaja and Sathit Talaengsatya expect the Bank of Thailand to cut the 1-day repurchase rate by 25 bps to 1.00% at the 25 February MPC meeting and see this as the terminal rate.

UOB economists Enrico Tanuwidjaja and Sathit Talaengsatya expect the Bank of Thailand to cut the 1-day repurchase rate by 25 bps to 1.00% at the 25 February MPC meeting and see this as the terminal rate. They argue weak growth, subdued inflation and manageable financial stability risks justify an insurance easing within a low neutral-rate environment.

UOB sees 1.00% as terminal rate

"We maintain our view that the BOT is likely to cut the policy rate (1-day repurchase rate) by 25bps to 1.00% at the 25 Feb 2026 MPC meeting, from 1.25% currently. We see this as the terminal rate for the cycle."

"That said, when we frame the decision through the BOT’s flexible inflation targeting (FIT) objectives—growth, inflation, and financial stability—the balance of risks still supports a final cut."

"In our view, when growth is projected to run below potential for an extended period, monetary policy has a stronger case to act as insurance to reduce cyclical drag while complementary tools work through."

"In our view, 2026 cyclical nominal neutral, given depressed inflation expectations, is in the range between 0.75% and 1.25% (midpoint: 1.0%). Based on a simple Fisher’s equation, when expected inflation is very low, the nominal neutral rate that corresponds to a given neutral real rate is also low."

"Therefore, a cut to 1.00% would move policy closer to Thailand’s near-term neutral or mildly accommodative in real terms, helping support demand and reduce debt-deflation risks — without pushing policy into an aggressively low regime that could amplify search-for-yield behavior and longer-run financial stability concerns."

(This article was created with the help of an Artificial Intelligence tool and reviewed by an editor.)

Acuity Trading 是一家成立於 2013 年、總部位於倫敦的金融科技公司,專注於 AI 驅動的另類數據與情緒分析,用於交易與投資。他們以可視化新聞與情緒工具革新線上交易體驗,並持續以最新 AI 研究與技術提供可產生阿爾法的另類數據與高度互動的交易工具。
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