Correlation Between FactSet Research and Borealis Foods

Can any of the company-specific risk be diversified away by investing in both FactSet Research and Borealis Foods at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining FactSet Research and Borealis Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between FactSet Research Systems and Borealis Foods, you can compare the effects of market volatilities on FactSet Research and Borealis Foods and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in FactSet Research with a short position of Borealis Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of FactSet Research and Borealis Foods.

Diversification Opportunities for FactSet Research and Borealis Foods

-0.02

Correlation Coefficient

FactSet Research  Borealis Foods

Good diversification

The 3 months correlation between FactSet and Borealis is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding FactSet Research Systems and Borealis Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Borealis Foods and FactSet Research is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on FactSet Research Systems are associated (or correlated) with Borealis Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Borealis Foods has no effect on the direction of FactSet Research i.e., FactSet Research and Borealis Foods go up and down completely randomly.

Pair Corralation between FactSet Research and Borealis Foods

Considering the 90-day investment horizon FactSet Research Systems is expected to under-perform the Borealis Foods. But the stock apears to be less risky and, when comparing its historical volatility, FactSet Research Systems is 5.18 times less risky than Borealis Foods. The stock trades about -0.25 of its potential returns per unit of risk. The Borealis Foods is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest  8.41  in Borealis Foods on October 12, 2024 and sell it today you would earn a total of  1.14  from holding Borealis Foods or generate 13.56% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

FactSet Research Systems  vs.  Borealis Foods

FactSet Research Systems

Risk-Adjusted Performance

0 of 100

Weak

Over the last 90 days FactSet Research Systems has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable fundamental indicators, FactSet Research is not utilizing all of its potentials. The current stock price uproar, may contribute to short-horizon losses for the private investors.

Borealis Foods

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Borealis Foods are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of fairly abnormal basic indicators, Borealis Foods showed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with FactSet Research and Borealis Foods

The main advantage of trading using opposite FactSet Research and Borealis Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FactSet Research position performs unexpectedly, Borealis Foods can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Borealis Foods will offset losses from the drop in Borealis Foods' long position.

The idea behind FactSet Research Systems and Borealis Foods pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.