Correlation Between CN YANGTPWR and Microbot Medical
Can any of the company-specific risk be diversified away by investing in both CN YANGTPWR and Microbot Medical 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 CN YANGTPWR and Microbot Medical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CN YANGTPWR GDR and Microbot Medical, you can compare the effects of market volatilities on CN YANGTPWR and Microbot Medical 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 CN YANGTPWR with a short position of Microbot Medical. Check out your portfolio center. Please also check ongoing floating volatility patterns of CN YANGTPWR and Microbot Medical.
Diversification Opportunities for CN YANGTPWR and Microbot Medical
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between CYZB and Microbot is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding CN YANGTPWR GDR and Microbot Medical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Microbot Medical and CN YANGTPWR 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 CN YANGTPWR GDR are associated (or correlated) with Microbot Medical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Microbot Medical has no effect on the direction of CN YANGTPWR i.e., CN YANGTPWR and Microbot Medical go up and down completely randomly.
Pair Corralation between CN YANGTPWR and Microbot Medical
Assuming the 90 days trading horizon CN YANGTPWR is expected to generate 4.81 times less return on investment than Microbot Medical. But when comparing it to its historical volatility, CN YANGTPWR GDR is 2.55 times less risky than Microbot Medical. It trades about 0.05 of its potential returns per unit of risk. Microbot Medical is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 88.00 in Microbot Medical on August 29, 2024 and sell it today you would earn a total of 5.00 from holding Microbot Medical or generate 5.68% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
CN YANGTPWR GDR vs. Microbot Medical
Performance |
| Timeline |
| CN YANGTPWR GDR |
| Microbot Medical |
CN YANGTPWR and Microbot Medical Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with CN YANGTPWR and Microbot Medical
The main advantage of trading using opposite CN YANGTPWR and Microbot Medical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CN YANGTPWR position performs unexpectedly, Microbot Medical 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 Microbot Medical will offset losses from the drop in Microbot Medical's long position.| CN YANGTPWR vs. Verizon Communications | CN YANGTPWR vs. United Natural Foods | CN YANGTPWR vs. SBA Communications Corp | CN YANGTPWR vs. Iridium Communications |
| Microbot Medical vs. Apple Inc | Microbot Medical vs. Apple Inc | Microbot Medical vs. Apple Inc | Microbot Medical vs. Apple 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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