Correlation Between FEMALE HEALTH and UNIQA INSURANCE
Can any of the company-specific risk be diversified away by investing in both FEMALE HEALTH and UNIQA INSURANCE 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 FEMALE HEALTH and UNIQA INSURANCE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FEMALE HEALTH and UNIQA INSURANCE GR, you can compare the effects of market volatilities on FEMALE HEALTH and UNIQA INSURANCE 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 FEMALE HEALTH with a short position of UNIQA INSURANCE. Check out your portfolio center. Please also check ongoing floating volatility patterns of FEMALE HEALTH and UNIQA INSURANCE.
Diversification Opportunities for FEMALE HEALTH and UNIQA INSURANCE
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between FEMALE and UNIQA is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding FEMALE HEALTH and UNIQA INSURANCE GR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UNIQA INSURANCE GR and FEMALE HEALTH 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 FEMALE HEALTH are associated (or correlated) with UNIQA INSURANCE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UNIQA INSURANCE GR has no effect on the direction of FEMALE HEALTH i.e., FEMALE HEALTH and UNIQA INSURANCE go up and down completely randomly.
Pair Corralation between FEMALE HEALTH and UNIQA INSURANCE
Assuming the 90 days trading horizon FEMALE HEALTH is expected to generate 12.08 times more return on investment than UNIQA INSURANCE. However, FEMALE HEALTH is 12.08 times more volatile than UNIQA INSURANCE GR. It trades about 0.32 of its potential returns per unit of risk. UNIQA INSURANCE GR is currently generating about 0.62 per unit of risk. If you would invest 62.00 in FEMALE HEALTH on October 22, 2024 and sell it today you would earn a total of 16.00 from holding FEMALE HEALTH or generate 25.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
FEMALE HEALTH vs. UNIQA INSURANCE GR
Performance |
Timeline |
FEMALE HEALTH |
UNIQA INSURANCE GR |
FEMALE HEALTH and UNIQA INSURANCE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FEMALE HEALTH and UNIQA INSURANCE
The main advantage of trading using opposite FEMALE HEALTH and UNIQA INSURANCE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FEMALE HEALTH position performs unexpectedly, UNIQA INSURANCE 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 UNIQA INSURANCE will offset losses from the drop in UNIQA INSURANCE's long position.FEMALE HEALTH vs. Tencent Music Entertainment | FEMALE HEALTH vs. Highlight Communications AG | FEMALE HEALTH vs. Hemisphere Energy Corp | FEMALE HEALTH vs. Tradegate AG Wertpapierhandelsbank |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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