Hedge fund investments use several different strategies to achieve returns in both domestic and international markets. They are often aggressively managed and trade in land, real estate, stocks, derivatives, currencies, etc. markets.
The most lucrative hedge funds also have a diverse portfolio—which means investors need to analyze large amounts of data to make investment decisions.
It is relatively easy to start a hedge fund with little capital. However, it is quite a bit more challenging to run a profitable business: many companies fold each year. If you want staying power with consistently high returns for your customers, you should have a good hedge fund management model.
A profitable business model should account for team size, investment partners, and the company’s unique cost structure.
A good portfolio strategy earning active returns should also use all other available market data. These include inter-day stock prices, stock opening and closing prices, high and low daily stock prices, 50- and 200-day moving averages, daily trading volume, and available historical data.
To develop an investment strategy, you should first research hedge fund performance to determine which of their strategies are currently doing well and why that might be the case. Similarly, you will need a lot of data for this. Collect and analyze the amount of money invested in marketing, management fee percentages, the fund’s revenue model, and investor satisfaction data.
There is a plethora of data that may prove useful in a good hedge fund management model. For example, compare the average amount of money managed by failed hedge funds to the amount managed by successful funds. This will indicate what the minimum hedge fund size you need to succeed.
Hedge funds often utilize leverage or derivatives, raising their risk exposures. They also engage in complex trading strategies in novel asset classes.
In addition, hedge funds typically require investors to lock up money for a period of years, making it difficult to attract investors.
“The Eurekahedge AI Hedge Fund Index is an equally weighted index of 21 constituent funds. The index is designed to provide a broad measure of the performance of underlying hedge fund managers who utilize artificial intelligence and machine learning theory in their trading processes. If we compare it with the Eurekahedge Hedge Fund Index we will get an excess return of over 100% in favor of the AI fund over the last 10 years.”
Agrud Technologies’s dataset – ‘MUTUAL FUND & ETF DATA AND FACTSHEETS ACROSS GLOBAL MARKETS’ provides Stock & Market Data that can be used in Hedge Fund Management
DecaData’s dataset – ‘DecaData- Orion- Video Game sales panel’ provides C2C E-Commerce Data, Retail & Commerce Data and Sports & Entertainment Data that can be used in Hedge Fund Management
Growbydata Ad Intelligence provides solution in a SKU level to get an accurate retailers price data and beat the competition while protecting the clients’ data.
Enforce MAP includes powerful reports to keep track of MAP price violation at a SKU level.
Risk & Treasury Management (iRTM) solution has a insurance software called Intellect SEEC that covers the distribution, underwriting and claims for non-life insurers.