The investment objective of the Scheme is to enhance returns over a portfolio of debt instruments with a moderate exposure in equity and equity related instruments. By investing in debt securities, the Scheme will aim at generating regular returns, while enhancement of return is intended through investing in equity and equity related securities. The Scheme may also use various derivative and hedging products from time to time, in the manner permitted by SEBI.
There is no assurance that the investment objective of the Schemes will be realised.
This fund has moderate ups and downs compared to equity funds and can give better returns than fixed income instruments as it invests both in debt and equity. Investment in this fund can be made for a horizon of at least 3 years or more
Minimum Purchase Application Amount
Rs. 100.0 (plus in multiples of Rs. 100.0)
Entry Load
Not applicable
Exit Load
• For redemption / switch out of upto 8% of the initial investment amount (limit) purchased or switched in within 1 year from the date of allotment: Nil. • If units redeemed or switched out are in excess of the limit within 1 year months from the date of allotment: 1% • If units are redeemed or switched out on or after 1 year from the date of allotment: NIL
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.