Correlation Between STRATA Skin and Tandem Diabetes
Can any of the company-specific risk be diversified away by investing in both STRATA Skin and Tandem Diabetes 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 STRATA Skin and Tandem Diabetes into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between STRATA Skin Sciences and Tandem Diabetes Care, you can compare the effects of market volatilities on STRATA Skin and Tandem Diabetes 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 STRATA Skin with a short position of Tandem Diabetes. Check out your portfolio center. Please also check ongoing floating volatility patterns of STRATA Skin and Tandem Diabetes.
Diversification Opportunities for STRATA Skin and Tandem Diabetes
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between STRATA and Tandem is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding STRATA Skin Sciences and Tandem Diabetes Care in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tandem Diabetes Care and STRATA Skin 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 STRATA Skin Sciences are associated (or correlated) with Tandem Diabetes. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tandem Diabetes Care has no effect on the direction of STRATA Skin i.e., STRATA Skin and Tandem Diabetes go up and down completely randomly.
Pair Corralation between STRATA Skin and Tandem Diabetes
Given the investment horizon of 90 days STRATA Skin Sciences is expected to under-perform the Tandem Diabetes. In addition to that, STRATA Skin is 1.49 times more volatile than Tandem Diabetes Care. It trades about 0.0 of its total potential returns per unit of risk. Tandem Diabetes Care is currently generating about 0.01 per unit of volatility. If you would invest 4,128 in Tandem Diabetes Care on September 3, 2024 and sell it today you would lose (1,065) from holding Tandem Diabetes Care or give up 25.8% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
STRATA Skin Sciences vs. Tandem Diabetes Care
Performance |
Timeline |
STRATA Skin Sciences |
Tandem Diabetes Care |
STRATA Skin and Tandem Diabetes Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with STRATA Skin and Tandem Diabetes
The main advantage of trading using opposite STRATA Skin and Tandem Diabetes positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if STRATA Skin position performs unexpectedly, Tandem Diabetes 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 Tandem Diabetes will offset losses from the drop in Tandem Diabetes' long position.STRATA Skin vs. Tandem Diabetes Care | STRATA Skin vs. Inspire Medical Systems | STRATA Skin vs. Penumbra | STRATA Skin vs. Insulet |
Tandem Diabetes vs. DexCom Inc | Tandem Diabetes vs. Inspire Medical Systems | Tandem Diabetes vs. Penumbra | Tandem Diabetes vs. Insulet |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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