Correlation Between Mesa Laboratories and STRATA Skin
Can any of the company-specific risk be diversified away by investing in both Mesa Laboratories and STRATA Skin 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 Mesa Laboratories and STRATA Skin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mesa Laboratories and STRATA Skin Sciences, you can compare the effects of market volatilities on Mesa Laboratories and STRATA Skin 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 Mesa Laboratories with a short position of STRATA Skin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mesa Laboratories and STRATA Skin.
Diversification Opportunities for Mesa Laboratories and STRATA Skin
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Mesa and STRATA is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Mesa Laboratories and STRATA Skin Sciences in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on STRATA Skin Sciences and Mesa Laboratories 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 Mesa Laboratories are associated (or correlated) with STRATA Skin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of STRATA Skin Sciences has no effect on the direction of Mesa Laboratories i.e., Mesa Laboratories and STRATA Skin go up and down completely randomly.
Pair Corralation between Mesa Laboratories and STRATA Skin
Given the investment horizon of 90 days Mesa Laboratories is expected to generate 0.52 times more return on investment than STRATA Skin. However, Mesa Laboratories is 1.91 times less risky than STRATA Skin. It trades about 0.0 of its potential returns per unit of risk. STRATA Skin Sciences is currently generating about -0.02 per unit of risk. If you would invest 17,234 in Mesa Laboratories on November 9, 2024 and sell it today you would lose (3,061) from holding Mesa Laboratories or give up 17.76% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Mesa Laboratories vs. STRATA Skin Sciences
Performance |
| Timeline |
| Mesa Laboratories |
| STRATA Skin Sciences |
Mesa Laboratories and STRATA Skin Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Mesa Laboratories and STRATA Skin
The main advantage of trading using opposite Mesa Laboratories and STRATA Skin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mesa Laboratories position performs unexpectedly, STRATA Skin 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 STRATA Skin will offset losses from the drop in STRATA Skin's long position.| Mesa Laboratories vs. Novanta | Mesa Laboratories vs. Itron Inc | Mesa Laboratories vs. Fortive Corp | Mesa Laboratories vs. Vishay Precision Group |
| STRATA Skin vs. Axogen Inc | STRATA Skin vs. Ainos Inc | STRATA Skin vs. LENSAR Inc | STRATA Skin vs. Nexalin Technology |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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