Correlation Between Star Equity and Sera Prognostics
Can any of the company-specific risk be diversified away by investing in both Star Equity and Sera Prognostics 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 Star Equity and Sera Prognostics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Star Equity Holdings and Sera Prognostics, you can compare the effects of market volatilities on Star Equity and Sera Prognostics 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 Star Equity with a short position of Sera Prognostics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Star Equity and Sera Prognostics.
Diversification Opportunities for Star Equity and Sera Prognostics
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Star and Sera is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Star Equity Holdings and Sera Prognostics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sera Prognostics and Star Equity 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 Star Equity Holdings are associated (or correlated) with Sera Prognostics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sera Prognostics has no effect on the direction of Star Equity i.e., Star Equity and Sera Prognostics go up and down completely randomly.
Pair Corralation between Star Equity and Sera Prognostics
Assuming the 90 days horizon Star Equity Holdings is expected to generate 0.12 times more return on investment than Sera Prognostics. However, Star Equity Holdings is 8.35 times less risky than Sera Prognostics. It trades about 0.04 of its potential returns per unit of risk. Sera Prognostics is currently generating about -0.01 per unit of risk. If you would invest 934.00 in Star Equity Holdings on August 26, 2024 and sell it today you would earn a total of 7.00 from holding Star Equity Holdings or generate 0.75% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Star Equity Holdings vs. Sera Prognostics
Performance |
| Timeline |
| Star Equity Holdings |
| Sera Prognostics |
Star Equity and Sera Prognostics Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Star Equity and Sera Prognostics
The main advantage of trading using opposite Star Equity and Sera Prognostics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Star Equity position performs unexpectedly, Sera Prognostics 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 Sera Prognostics will offset losses from the drop in Sera Prognostics' long position.| Star Equity vs. Star Equity Holdings | Star Equity vs. XOMA Corp | Star Equity vs. Fundamental Global | Star Equity vs. Fortress Biotech Pref |
| Sera Prognostics vs. Fonar | Sera Prognostics vs. Burning Rock Biotech | Sera Prognostics vs. Exagen Inc | Sera Prognostics vs. Sotera Health Co |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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