|
Investment Objective
|
The investment objective of the Scheme is to deliver superior returns as compared
to the underlying benchmark over the medium to long term through investing in equity
and equity related securities. The portfolio of stocks will be selected, weighed
and rebalanced using stock screeners, factor based scoring and an optimization formula
which aims to enhance portfolio exposures to factors representing „good investing
principles‟ such as growth, value and quality within risk constraints. However,
there can be no assurance that the investment objective of the scheme will be realized.
|
|
Category of Scheme
|
Thematic – Quant
|
|
Type of Scheme
|
An open ended Equity Scheme investing based on a quant model theme.
|
|
Inception Date
|
03-May-21
|
|
Lock in Period
|
Nil
|
|
Minimum Application Amount
|
For new investor, ₹ 5000/- and in multiples of ₹ 1/- thereafter For existing investors,
₹ 1000/- in multiples of ₹ 1/- thereafter For Systematic Investment Plan (SIP),
the minimum amount is ₹ 1000/- and in multiples of INR 1/- thereafter.
|
|
Benchmark Index
|
NIFTY 200 INDEX TRI
|
|
Load Structure
|
Entry Load - Nil
Exit Load - 15 Days / 1% Effective from August 11 ,2023
|
|
Asset Allocation Pattern
|
|
Under normal circumstances, the asset allocation pattern will be as follows
|
Indicative allocations (% of total assets)
|
Risk Profile
|
|
Instruments
|
Minimum
|
Maximum
|
High/Medium/Low
|
|
Equity and Equity related instruments
|
80
|
100
|
Very High
|
|
Debt & Money Market instruments
|
0
|
20
|
Low to Medium
|
|
Units issued by REITs & InvITs
|
0
|
5
|
Very High
|
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 20% 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.
|
|
Fund Manager
|
Sandeep Tandon, Ankit Pande, Vasav Sahgal, Sanjeev Sharma
|
|
Plans Available
|
Regular Plan and Direct Plan. (The Regular and Direct plan will have a common portfolio)
|
|
Options Available
|
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.
|
|
Applicable NAV
|
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.
|
|
Risk Factors
|
For detailed scheme/securities related risk factors, please refer to the Scheme
Information Document
|
|
Investment strategy
|
The underlying theme driving the relative allocation will be quant Money Managers
Limited (qMML) research’s 'quantamental' investment strategies. QMML believes that
a quantitative approach to money management would yield optimal results when combined
with the value of human judgement as rules or factors can behave differently when
the entire market environment changes, such as our predictive analytics tools suggest.
Thus, the quantamental approach seeks to find the harmony between objectivity and
subjectivity.
In order to provide the best possible returns and capital preservation, the quantamental
approach goes beyond purely factor-based, smart beta or algorithmic strategies.
We believe a rules-based mechanical approach needs to be combined with the value
of years of human judgement and experience to yield 'adaptive alpha' - the outperformance
generated by an ability to adapt investment rules/factors to novel market phases.
Thus, we augment traditional quantitative and qualitative methods alongwith ‘sentiments
data’ - a deep knowledge of market structure dynamics, micro level stock selection
and inflexion point identification between bouts of greed and fear through analysis
of the larger, ever-changing macro environment.
Quantamental combines the innate human ability to adapt, adding to the alpha generated
by discipline and identification of underlying factors - adaptive alpha, providing
the edge needed to manage volatility and utilize periodic market imbalances to the
portfolio's advantage. qMML may, from time to time, review and modify the Scheme’s
investment strategy if such changes are considered to be in the best interests of
the unitholders and if market conditions warrant it. No assurance can be given that
the fund manager will be able to identify or execute such strategies.
The fund will invest in stocks from a universe of NIFTY 500 TRI selected on the
basis of a quantamental models. Quantitative methods will be used for (i) screening
mechanism to choose best picks and make the stock selection universe smaller, (ii)
Deciding on the portfolio weightage for better return as the investment will focus
on company’s size and liquidity. The qualitative model which will be used for stock
selection will be based on two broad parameters viz., Stock Price movement & Financial/
valuation aspects. The model will use aspects like: • Stock Price related parameters
– This would include stock specific aspects like relative strength, liquidity and
volatility, Historic Performance (based on quarterly and annual relative and absolute
price movement). • Financial/ Valuation parameters – This would include aspects
based on a company’s Balance sheet, cash flow statement & profit & loss account.
The parameters are Sales growth (Historical), Earning before Interest and tax (EBIT)
& Free Cash flows. (Historical), Dividend yield, Price to book ratio (PB), Return
ratios, etc.
|
Statutory Details: Sponsor:quant Capital Finance & Investments
Private Limited
Investment Manager:quant Money Managers Limited. CIN: U74899MH1995PLC324387
For Further Details :- https://quantmutual.com/downloads/factsheet
|