Correlation Between Fonar and Castle Biosciences
Can any of the company-specific risk be diversified away by investing in both Fonar and Castle Biosciences 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 Fonar and Castle Biosciences into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fonar and Castle Biosciences, you can compare the effects of market volatilities on Fonar and Castle Biosciences 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 Fonar with a short position of Castle Biosciences. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fonar and Castle Biosciences.
Diversification Opportunities for Fonar and Castle Biosciences
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Fonar and Castle is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Fonar and Castle Biosciences in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Castle Biosciences and Fonar 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 Fonar are associated (or correlated) with Castle Biosciences. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Castle Biosciences has no effect on the direction of Fonar i.e., Fonar and Castle Biosciences go up and down completely randomly.
Pair Corralation between Fonar and Castle Biosciences
Given the investment horizon of 90 days Fonar is expected to under-perform the Castle Biosciences. But the stock apears to be less risky and, when comparing its historical volatility, Fonar is 1.82 times less risky than Castle Biosciences. The stock trades about -0.02 of its potential returns per unit of risk. The Castle Biosciences is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 1,948 in Castle Biosciences on August 24, 2024 and sell it today you would earn a total of 940.00 from holding Castle Biosciences or generate 48.25% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Fonar vs. Castle Biosciences
Performance |
| Timeline |
| Fonar |
| Castle Biosciences |
Fonar and Castle Biosciences Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Fonar and Castle Biosciences
The main advantage of trading using opposite Fonar and Castle Biosciences positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fonar position performs unexpectedly, Castle Biosciences 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 Castle Biosciences will offset losses from the drop in Castle Biosciences' long position.| Fonar vs. Burning Rock Biotech | Fonar vs. Sera Prognostics | Fonar vs. Exagen Inc | Fonar vs. Castle Biosciences |
| Castle Biosciences vs. Caredx Inc | Castle Biosciences vs. Twist Bioscience Corp | Castle Biosciences vs. Biodesix | Castle Biosciences vs. Natera Inc |
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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