An open-ended index linked growth scheme seeking to track the returns of the Nifty 50 through investments in a basket of stocks drawn from the constituents of the above index.
The objective of the Scheme is to invest in companies whose securities are included in Nifty and subject to tracking errors, to endeavor to achieve the returns of the above index. This would be done by investing in almost all the stocks comprising the Nifty 50 in approximately the same weightage that they represent in Nifty 50. The Scheme will not seek to outperform the Nifty 50 or to under perform it. The objective is that the performance of the NAV of the Scheme should closely track the performance of the Nifty 50 over the same period. However, there is no assurance or guarantee that the investment objective of the scheme would be achieved.
This fund has moderate ups and downs compared to other equity funds but can give sustainable returns in the medium to long run as it tries to replicate the returns of the Index it is benchmarked to. Investment in this fund can be made for a horizon of at least 4 years or more by investor who are happy with passive investing returns.
Minimum Purchase Application Amount
Rs. 100.0 (plus in multiples of Rs. 100.0)
Entry Load
Not applicable
Exit Load
NA
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.