In a universe of over 5000+ mutual funds to choose from, selecting the right funds becomes paramount. We employ data driven solutions to identify funds on more than just performance oriented parameters but also on their asset allocation, consistency of performance, underlying risk drivers, performance and risk relative to similar funds, concentration and correlations factors etc. We map this against the broader data on the current market state and macro factors, arriving at our initial fund universe.
We arrive at a shortlist of 5-6 funds within every fund category, creating our initial fund universe from which we recommend optimum funds for our investors based on their unique goals.
Our fund universe goes through a constant monitoring and ranking process to weed out underperforming, overtly risky funds and replace them with better performers. A key criteria for eligibility for our fund universe is that a fund needs to have minimum of a four year track record. Newer funds are tracked and monitored and if our analytics engine along with our in-house experts come to a consensus of the high potential of a given fund, it is then considered for our fund universe.
Our analytics engine constantly monitors more than just quantitative parameters. Monitoring the fundamentals of the underlying assets within the funds also forms a core part of our fund ranking and selection. This allows us to recommend a diverse set of funds right down to their underlying holdings for investors looking for a specific style factor or risk factor in their portfolio
