Correlation Between UNIQA Insurance and Data Modul
Can any of the company-specific risk be diversified away by investing in both UNIQA Insurance and Data Modul 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 UNIQA Insurance and Data Modul into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between UNIQA Insurance Group and Data Modul AG, you can compare the effects of market volatilities on UNIQA Insurance and Data Modul 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 UNIQA Insurance with a short position of Data Modul. Check out your portfolio center. Please also check ongoing floating volatility patterns of UNIQA Insurance and Data Modul.
Diversification Opportunities for UNIQA Insurance and Data Modul
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between UNIQA and Data is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding UNIQA Insurance Group and Data Modul AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Data Modul AG and UNIQA Insurance 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 UNIQA Insurance Group are associated (or correlated) with Data Modul. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Data Modul AG has no effect on the direction of UNIQA Insurance i.e., UNIQA Insurance and Data Modul go up and down completely randomly.
Pair Corralation between UNIQA Insurance and Data Modul
Assuming the 90 days trading horizon UNIQA Insurance Group is expected to generate 0.49 times more return on investment than Data Modul. However, UNIQA Insurance Group is 2.05 times less risky than Data Modul. It trades about 0.34 of its potential returns per unit of risk. Data Modul AG is currently generating about -0.01 per unit of risk. If you would invest 777.00 in UNIQA Insurance Group on December 22, 2024 and sell it today you would earn a total of 199.00 from holding UNIQA Insurance Group or generate 25.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
UNIQA Insurance Group vs. Data Modul AG
Performance |
Timeline |
UNIQA Insurance Group |
Data Modul AG |
UNIQA Insurance and Data Modul Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with UNIQA Insurance and Data Modul
The main advantage of trading using opposite UNIQA Insurance and Data Modul positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if UNIQA Insurance position performs unexpectedly, Data Modul 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 Data Modul will offset losses from the drop in Data Modul's long position.UNIQA Insurance vs. Computer And Technologies | UNIQA Insurance vs. SOLSTAD OFFSHORE NK | UNIQA Insurance vs. MYFAIR GOLD P | UNIQA Insurance vs. WT OFFSHORE |
Data Modul vs. PANIN INSURANCE | Data Modul vs. EEDUCATION ALBERT AB | Data Modul vs. MSAD INSURANCE | Data Modul vs. Universal Insurance Holdings |
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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