Correlation Between OURGAME INTHOLDL and VIENNA INSURANCE
Can any of the company-specific risk be diversified away by investing in both OURGAME INTHOLDL and VIENNA 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 OURGAME INTHOLDL and VIENNA INSURANCE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between OURGAME INTHOLDL 00005 and VIENNA INSURANCE GR, you can compare the effects of market volatilities on OURGAME INTHOLDL and VIENNA 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 OURGAME INTHOLDL with a short position of VIENNA INSURANCE. Check out your portfolio center. Please also check ongoing floating volatility patterns of OURGAME INTHOLDL and VIENNA INSURANCE.
Diversification Opportunities for OURGAME INTHOLDL and VIENNA INSURANCE
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between OURGAME and VIENNA is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding OURGAME INTHOLDL 00005 and VIENNA INSURANCE GR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on VIENNA INSURANCE and OURGAME INTHOLDL 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 OURGAME INTHOLDL 00005 are associated (or correlated) with VIENNA INSURANCE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of VIENNA INSURANCE has no effect on the direction of OURGAME INTHOLDL i.e., OURGAME INTHOLDL and VIENNA INSURANCE go up and down completely randomly.
Pair Corralation between OURGAME INTHOLDL and VIENNA INSURANCE
Assuming the 90 days horizon OURGAME INTHOLDL 00005 is expected to generate 11.52 times more return on investment than VIENNA INSURANCE. However, OURGAME INTHOLDL is 11.52 times more volatile than VIENNA INSURANCE GR. It trades about 0.03 of its potential returns per unit of risk. VIENNA INSURANCE GR is currently generating about 0.08 per unit of risk. If you would invest 3.75 in OURGAME INTHOLDL 00005 on October 26, 2024 and sell it today you would lose (2.15) from holding OURGAME INTHOLDL 00005 or give up 57.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 99.8% |
Values | Daily Returns |
OURGAME INTHOLDL 00005 vs. VIENNA INSURANCE GR
Performance |
Timeline |
OURGAME INTHOLDL 00005 |
VIENNA INSURANCE |
OURGAME INTHOLDL and VIENNA INSURANCE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with OURGAME INTHOLDL and VIENNA INSURANCE
The main advantage of trading using opposite OURGAME INTHOLDL and VIENNA INSURANCE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if OURGAME INTHOLDL position performs unexpectedly, VIENNA 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 VIENNA INSURANCE will offset losses from the drop in VIENNA INSURANCE's long position.OURGAME INTHOLDL vs. NEXON Co | OURGAME INTHOLDL vs. NEXON Co | OURGAME INTHOLDL vs. Take Two Interactive Software | OURGAME INTHOLDL vs. Aristocrat Leisure Limited |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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