Hedge funds experienced a slow year, and a decline in profits is expected to squeeze bonuses for senior and mid-level investment professionals by large extent even though higher management fee revenue from assets under management. This low performance is forecasted to affect the hedge funds growth and also assets under management in the year 2019.
According to the eVestment Hedge Fund Asset Flows report, investors uplifted an added investment $6.68 billion from funds around the world. As the hedge industry did not make it up to the mark year in 2018, the investors are less likely to invest in the hedge funds this year. Also, the recruitment of senior investments professionals is expected to reduce in number. As there are no separate formulaic portfolios for the single-manager large hedge funds, so the bonus compensation may go down significantly. Furthermore, the bonuses at mid-level professionals are expected to be down.
Compensation for junior investment professionals in larger firms is not going to be much affected. Bonuses may see a slight cut down if there is a negative incentive. If the incentive fee is definite, bonuses are projected to go up by a few percents.
The secrets to hedge fund management is often driven by large investments in research and development and are sympathetic to the need to protect the investment. Investors need transparent and secure ways to invest in the hedge fund significantly. In some critical respects, managers want opacity. Therefore, standard data from the broker to the investor must be created. The fund administrators must standardize the risk assessment units as part of the screening. Preqin, a UK-based financial data, and information providing company predict that the hedge fund industry is growing fast at a CAGR of 31 percent and by 2023, is expected to reach a market value of $4.7 trillion.
While hedge funds offer an appropriate solution for the algorithmic B2B market, the Robo-advisors entry into the hedge fund industry has made algorithmic trade easily reach individual investors with self-managed portfolios. These automated trade solutions select individual stocks on the basis of personal risk profiles.