Correlation Between SAB Biotherapeutics and Sutro Biopharma
Can any of the company-specific risk be diversified away by investing in both SAB Biotherapeutics and Sutro Biopharma 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 SAB Biotherapeutics and Sutro Biopharma into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SAB Biotherapeutics and Sutro Biopharma, you can compare the effects of market volatilities on SAB Biotherapeutics and Sutro Biopharma 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 SAB Biotherapeutics with a short position of Sutro Biopharma. Check out your portfolio center. Please also check ongoing floating volatility patterns of SAB Biotherapeutics and Sutro Biopharma.
Diversification Opportunities for SAB Biotherapeutics and Sutro Biopharma
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between SAB and Sutro is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding SAB Biotherapeutics and Sutro Biopharma in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sutro Biopharma and SAB Biotherapeutics 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 SAB Biotherapeutics are associated (or correlated) with Sutro Biopharma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sutro Biopharma has no effect on the direction of SAB Biotherapeutics i.e., SAB Biotherapeutics and Sutro Biopharma go up and down completely randomly.
Pair Corralation between SAB Biotherapeutics and Sutro Biopharma
Assuming the 90 days horizon SAB Biotherapeutics is expected to generate 3.28 times more return on investment than Sutro Biopharma. However, SAB Biotherapeutics is 3.28 times more volatile than Sutro Biopharma. It trades about 0.03 of its potential returns per unit of risk. Sutro Biopharma is currently generating about -0.19 per unit of risk. If you would invest 8.00 in SAB Biotherapeutics on December 27, 2024 and sell it today you would lose (5.01) from holding SAB Biotherapeutics or give up 62.62% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 91.67% |
Values | Daily Returns |
SAB Biotherapeutics vs. Sutro Biopharma
Performance |
Timeline |
SAB Biotherapeutics |
Sutro Biopharma |
SAB Biotherapeutics and Sutro Biopharma Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SAB Biotherapeutics and Sutro Biopharma
The main advantage of trading using opposite SAB Biotherapeutics and Sutro Biopharma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SAB Biotherapeutics position performs unexpectedly, Sutro Biopharma 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 Sutro Biopharma will offset losses from the drop in Sutro Biopharma's long position.SAB Biotherapeutics vs. SAB Biotherapeutics | SAB Biotherapeutics vs. Jasper Therapeutics | SAB Biotherapeutics vs. NRx Pharmaceuticals | SAB Biotherapeutics vs. Surrozen Warrant |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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