Correlation Between FAT Brands and Fortress Biotech
Can any of the company-specific risk be diversified away by investing in both FAT Brands and Fortress Biotech 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 FAT Brands and Fortress Biotech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FAT Brands and Fortress Biotech Pref, you can compare the effects of market volatilities on FAT Brands and Fortress Biotech 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 FAT Brands with a short position of Fortress Biotech. Check out your portfolio center. Please also check ongoing floating volatility patterns of FAT Brands and Fortress Biotech.
Diversification Opportunities for FAT Brands and Fortress Biotech
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between FAT and Fortress is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding FAT Brands and Fortress Biotech Pref in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fortress Biotech Pref and FAT Brands 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 FAT Brands are associated (or correlated) with Fortress Biotech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fortress Biotech Pref has no effect on the direction of FAT Brands i.e., FAT Brands and Fortress Biotech go up and down completely randomly.
Pair Corralation between FAT Brands and Fortress Biotech
Assuming the 90 days horizon FAT Brands is expected to generate 0.43 times more return on investment than Fortress Biotech. However, FAT Brands is 2.31 times less risky than Fortress Biotech. It trades about 0.11 of its potential returns per unit of risk. Fortress Biotech Pref is currently generating about -0.38 per unit of risk. If you would invest 932.00 in FAT Brands on August 28, 2024 and sell it today you would earn a total of 22.00 from holding FAT Brands or generate 2.36% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
FAT Brands vs. Fortress Biotech Pref
Performance |
| Timeline |
| FAT Brands |
| Fortress Biotech Pref |
FAT Brands and Fortress Biotech Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with FAT Brands and Fortress Biotech
The main advantage of trading using opposite FAT Brands and Fortress Biotech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FAT Brands position performs unexpectedly, Fortress Biotech 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 Fortress Biotech will offset losses from the drop in Fortress Biotech's long position.The idea behind FAT Brands and Fortress Biotech Pref 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.| Fortress Biotech vs. Checkpoint Therapeutics | Fortress Biotech vs. Mustang Bio | Fortress Biotech vs. Reviva Pharmaceuticals Holdings | Fortress Biotech vs. Kodiak Sciences |
Check out your portfolio center.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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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