Correlation Between IPath Series and Castle Biosciences
Can any of the company-specific risk be diversified away by investing in both IPath Series 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 IPath Series and Castle Biosciences into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iPath Series B and Castle Biosciences, you can compare the effects of market volatilities on IPath Series 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 IPath Series with a short position of Castle Biosciences. Check out your portfolio center. Please also check ongoing floating volatility patterns of IPath Series and Castle Biosciences.
Diversification Opportunities for IPath Series and Castle Biosciences
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between IPath and Castle is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding iPath Series B and Castle Biosciences in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Castle Biosciences and IPath Series 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 iPath Series B 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 IPath Series i.e., IPath Series and Castle Biosciences go up and down completely randomly.
Pair Corralation between IPath Series and Castle Biosciences
Considering the 90-day investment horizon iPath Series B is expected to under-perform the Castle Biosciences. In addition to that, IPath Series is 1.32 times more volatile than Castle Biosciences. It trades about -0.05 of its total potential returns per unit of risk. Castle Biosciences is currently generating about 0.08 per unit of volatility. If you would invest 1,857 in Castle Biosciences on February 3, 2025 and sell it today you would earn a total of 78.00 from holding Castle Biosciences or generate 4.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
iPath Series B vs. Castle Biosciences
Performance |
Timeline |
iPath Series B |
Castle Biosciences |
IPath Series and Castle Biosciences Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IPath Series and Castle Biosciences
The main advantage of trading using opposite IPath Series and Castle Biosciences positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IPath Series 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.IPath Series vs. ProShares VIX Mid Term | IPath Series vs. ProShares VIX Short Term | IPath Series vs. iPath Series B | IPath Series vs. ProShares Short VIX |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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