Tata Quant Fund is a quant model-based Fund which uses internally developed machine learning based model to make investment decisions. The Fund is an active multi factor investment model. Embedded with Artiﬁcial Intelligence modules that dynamically change factor strategies basis prevailing market conditions.
Why Tata Quant Fund?
AI & Machine learning enables analysing humongous data & take informed decisions
Automatic machine-led investing helps remove human & rule-based investing biases
The Investment objective of the scheme is to generate medium to long-term capital appreciation by investing in equity and related instruments elected based on a quantitative model(Quant Model) However, there is a no assurance or guarantee that the investment objective of the Scheme will be achieved. The scheme does not assured or guarantee any returns.
Type of Scheme
An open-ended equity scheme following quant-based investing theme
S & P BSE 200 TRI
Min. Investment Amounts
Rs. 5,000/- and in multiple of Re.1/- thereafter. Additional Investment: Rs. 1,000/- and in multiple of Re.1/- thereafter.
Entry Load(During NFO): N.A.
Exit Load: 1% of the applicable NAV, if redeemed/switched out on or before expiry of 365 days from the date of allotment.
Tata Quant Fund is suitable for investors who are seeking*:
Medium to Long Term Capital Appreciation.
Investment in equity & equity related instruments selected based on quant model
*Investors should consult their financial advisors if in doubt about whether the product is suitable for them
Mutual fund investments are subject to market risks, read all scheme related documents carefully.
Model Risk: Investment strategy of Quant Funds are essentially rule-based, driven by algorithms developed basis historical relations of multiple factors with stock price movements. One of the risks in a quant-based model would be the time taken by the algorithm to adapt to new developments or change in how certain factors influence market or stock dynamics. The success of the model is based on systematic investment approach and therefore it may not be able to leverage short term opportunities available in the market from time to time. Another risk that can emanate from a rule based systematic investment strategy would be the inability to perfectly time the market which might impact performance of the fund in the short term. There is no guarantee that the Quant model will generate higher returns as compared to the benchmark