The investment objective of the Scheme is to generate long term capital growth by investing in securities of the Nifty Non-Cyclical Consumer Index (TRI) in the same proportion / weightage with an aim to provide returns before expenses that track the total return of Nifty Non-Cyclical Consumer Index, subject to tracking errors. However, there can be no assurance or guarantee that the investment objective of the scheme will be achieved.
Minimum Investment 500.0
Minimum Top-up 500.0
Investment Returns
Since Launch in May 22, 2024
-1.37
%
3 M
6 M
1 Y
3 Y
10 Y
Inception
Sharp Ratio
0.0 %
Expense Ratio
1.07%
Volatility
0.0 %
Fund House
Groww Mutual Fund
Fund Manager
Mr. Aakash Chauhan, Mr. Nikhil Satam, Mr. Shashi Kumar
• In respect of each purchase/switch-in of units, an Exit load of 1% is payable if units are redeemed/switched-out within 30 days from the date of allotment
• No Exit Load is payable if units are redeemed / switched-out after 30 days from the date of allotment.
No Entry / Exit Load shall be levied on Units allotted on Re-investment of Income Distribution cum Capital Withdrawal.
In respect of Systematic Transactions such as SIP, STP, etc. Exit Load, if any, prevailing on the date of registration / enrolment shall be levied.
Indicative Investment Horizon
5 Years and above
Asset Allocation
Fund's historical return comparison with other asset classes
Fund Performance
Fund's historical return comparison with other asset classes
Rolling returns are the annualized returns of the scheme taken for a specified period
(rolling returns period) on every day/week/month and taken till the last day of the
duration. In this chart we are showing the annualized returns over the rolling returns
period on every day from the start date and comparing it with the benchmark. Rolling
returns is the best measure of a fund's performance. Trailing returns have a recency
bias and point to point returns are specific to the period in consideration. Rolling
returns, on the other hand, measures the fund's absolute and relative performance across
all timescales, without bias.