Things are moving fast in the financial world as newer technologies surface and disrupt the investment ecosystem every few years. Blockchain and cryptocurrencies, although highly volatile, are having a considerable impact on the market and don’t seem to waver any time soon. This means that the demand for effective portfolio analytics will only become more acute as we move forward.
Analyzing an investment portfolio helps Fund managers understand the existing asset groups and help them in making decisions that provide the best returns. It also helps managers in understanding the risks and the required steps to minimize them.
So, what exactly is portfolio analytics?
In simple words, it’s the analysis of risks and returns in an investment portfolio. However, there’s a lot of complicated work involved, work that takes about a week (if not weeks) for a man to complete, for each client.
With comprehensive analytics, a fund manager can find both real-time and historical data saving time to focus on other equally important tasks like asset allocation. It gives you an advantage over your competitors and helps you close more clients in less time.
This need for comprehensive analytics demanded the creation of a technological solution that will ease some burden off the shoulders of Fund Managers. Valuefy’s team of engineers, prompted by this need, came with an effective solution in the form of ValueAT.
With Valuefy’s ValueAT, you can create better portfolios with ease and agility. It provides you with comprehensive analytics with a focus on attribution, performance benchmarking, and risk management. It also empowers you with style analysis, portfolio slice and dice, and limit monitoring. With ValueAT by your side, you would not only analyze the portfolios effectively but do so in seconds instead of weeks.
With it’s Zero Manual intervention, there are no more data hassles for you.
How does ValueAT work?
The data from the portfolio and market is fed into the ValueAT database via the ETL process with a maker checker in place to perform data quality checks. The portfolio data like Transactions, Holdings, NAV, and AUM are sourced from custodian feed files and internal data warehouse.
The market data like prices, Index constituents, Yield Curve Matrix, and Instrument masters are sourced from exchange files and data feed files. ValueAT can also source the market data from the external provider warehouse or Thomson Reuters market data system.
Once the data is fed into ValueAT, the Data Preparation engine manages the model portfolio while also creating synthetic and composite indices. It also creates carved-out/in portfolio as well.
Once all this heavy-lifting is done by ValueAT, you can study the visual interpretation of the data and point out the opportunities and risks to your clients. That’s why portfolio analytics is not just for the hotshot bankers on Wall Street, it’s important for all asset & fund managers, including you.