- TMB Asset Management, one of Thailand’s largest fund houses, has chosen the FTSE Thailand Mid/Small Cap Minimum Variance Index for their first index fund
- Reinforces FTSE Russell’s innovative indexing expertise to support growing investor needs and risk diversification
FTSE Russell, the global index and data provider, today announces that TMB Asset Management, one of Thailand’s largest fund houses, has chosen the FTSE Thailand Mid/Small Cap Minimum Variance Index for their first index fund tracking Thailand’s mid and small cap companies.
FTSE Russell is a leading provider of smart beta indexes. Based on the universe of the FTSE Thailand Mid and Small Cap Index, the innovative, risk based FTSE Thailand Mid/Small Cap Minimum Variance Index has been selected by TMB Asset Management to form the basis of a new fund focusing on the mid and small cap market.
Ms. Jessie Pak, Managing Director, Asia, FTSE Russell, said:
“We are delighted to be working with TMB Asset Management to support the investor needs for a ground breaking smart beta index based solution to capture investment opportunities in Thailand’s growing market. FTSE Russell’s smart beta indexes and custom index solutions are globally sought by product providers and asset owners, combining unique investment characteristics with objective calculation and robust methodologies to support a range of investment challenges and mandates.”
Dr. Somjin Sornpaisarn, CFA CEO, TMB Asset Management Co., Ltd, commented:
"As a leading index fund provider in Thailand, we are delighted to expand our offering for investors to include a new Smart-Beta style fund by adopting the FTSE Mid/Small Cap Minimum Variance (Total Return) Index. We are excited to work with FTSE Russell, a world-class index provider, and believe that the new TMBAM Thai Mid Small Minimum Variance Fund will be a great complement to our product suite alongside our large cap strategies.”
More information about the FTSE Global Minimum Variance Index Series is available at http://www.ftse.com/products/indices/min-variance.
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