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Investment Objective
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The primary investment objective of the scheme is to seek to generate capital appreciation
& provide long-term growth opportunities by investing in a portfolio of Small Cap
companies. There is no assurance that the investment objective of the Scheme will
be realized.
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Category of Scheme
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Small Cap Fund
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Type of Scheme
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Small Cap Fund - An open ended equity scheme predominantly investing in small cap
stocks.
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Inception Date
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29-Oct-96
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Lock in Period
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Nil
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Minimum Application Amount
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For new investor, INR 5000/- and any amount thereafter
For existing investors, INR 1000/- and any amount thereafter
For Systematic Investment Plan (SIP), the minimum amount is INR 1000/- and in multiples
of INR 1/- thereafter.
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Benchmark Index
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NIFTY SMALL CAP 250 TRI
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Load Structure
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Entry Load - Nil
Exit Load -
*if redeemed or switched out on or before completion of 1 year (365 days) from the date of allotments of units
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Asset Allocation Pattern
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Under normal circumstances, the asset allocation pattern will be as follows
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Indicative allocations (% of total assets)
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Risk Profile
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Instruments
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Minimum
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Maximum
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High/Medium/Low
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Equity and equity related instruments of small cap companies#
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65
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100
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Very High
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Other equity and equity related instruments which are in the top 250 stocks by market capitalization.
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0
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35
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Very High
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Debt and money market securities*
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0
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35
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Low to Medium
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Units issued by REITs & InvITs
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0
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10
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Very High
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#251st company onwards in terms of full market capitalization would be considered
as small cap companies.
*Debt instruments may include securitized debt upto 10% of the net assets of the
Scheme.
The Scheme retains the flexibility to invest across all the securities in the debt
and money markets as permitted by SEBI / RBI from time to time, including schemes
of mutual funds.
Overseas Investments: Under normal circumstances the Schemes shall not have an exposure
of more than 35% of its net assets in foreign assets/securities/instruments including
ADRs / GDRs, subject to applicable regulatory limits.
Trading in Derivatives: To optimally manage portfolio risk, the Scheme may use various
derivative instruments and hedging products in a manner permitted by SEBI.
The scheme may take exposure to derivative instruments up to 100% of net assets.
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Fund Manager
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Ankit Pande, Vasav Sahgal, Sanjeev Sharma
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Plans Available
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Regular Plan and Direct Plan.
(The Regular and Direct plan will have a common portfolio)
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Options Available
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1.Growth Option and 2. IDCW
The IDCW option has the following facilities: (i) IDCW Reinvestment Facility. (ii)
IDCW Pay-out Facility. Default Investment option is Growth Option. For the IDCW
option, the default facility will be IDCW Reinvestment.
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Applicable NAV
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The NAV applicable for purchase or redemption or switching of Units based on the
time of the Business Day on which the application is time stamped.
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Risk Factors
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For detailed scheme/securities related risk factors, please refer to the Scheme
Information Document
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Investment strategy
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To achieve the investment objective, the scheme will invest primarily in equity
and equity linked instruments of Small Cap companies as defined by SEBI. The underlying
theme driving the relative allocation will be qMML research’s ability to identify
cross asset, cross market inflexion points. This quantitative approach is based
on our proprietary VLRT framework, wherein we incorporate the full spectrum of data
along deeper aspects related to the three axis of Valuation, Liquidity, and Risk
appetite and view it in a dynamic setting – Time, thus, forming the multi-dimensional
VLRT framework. The formulation of this macro narrative guides our micro level stock
selection.
qMML’s predictive analytics toolbox formulates a multidimensional research perspective
to various asset classes. Research has shown that optimal entry and exit points
into various asset classes can be identified through the identification of bouts
of extreme greed and fear in the market. qMML differentiates itself by not only
being able to identify bouts of greed and fear, but by its ability to quantify bouts
of euphoria and capitulation. This helps guide us in identifying the optimal level
of cash/debt allocation in the scheme.
qMML’s predictive analytics toolbox formulates a multidimensional research perspective
to various asset classes. Research has shown that optimal entry and exit points
into various asset classes can be identified through the identification of bouts
of extreme greed and fear in the market. qMML differentiates itself by not only
being able to identify bouts of greed and fear, but by its ability to quantify bouts
of euphoria and capitulation. This helps guide us in identifying the optimal level
of cash/debt allocation in the scheme.
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Statutory Details: Sponsor: quant Capital Finance & Investments
Private Limited
Investment Manager:quant Money Managers Limited. CIN: U74899MH1995PLC324387
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