Correlation Between WIG 30 and OMX Copenhagen
Specify exactly 2 symbols:
By analyzing existing cross correlation between WIG 30 and OMX Copenhagen All, you can compare the effects of market volatilities on WIG 30 and OMX Copenhagen 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 WIG 30 with a short position of OMX Copenhagen. Check out your portfolio center. Please also check ongoing floating volatility patterns of WIG 30 and OMX Copenhagen.
Diversification Opportunities for WIG 30 and OMX Copenhagen
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between WIG and OMX is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding WIG 30 and OMX Copenhagen All in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OMX Copenhagen All and WIG 30 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 WIG 30 are associated (or correlated) with OMX Copenhagen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OMX Copenhagen All has no effect on the direction of WIG 30 i.e., WIG 30 and OMX Copenhagen go up and down completely randomly.
Pair Corralation between WIG 30 and OMX Copenhagen
Assuming the 90 days trading horizon WIG 30 is expected to generate 1.09 times more return on investment than OMX Copenhagen. However, WIG 30 is 1.09 times more volatile than OMX Copenhagen All. It trades about -0.12 of its potential returns per unit of risk. OMX Copenhagen All is currently generating about -0.16 per unit of risk. If you would invest 309,581 in WIG 30 on September 1, 2024 and sell it today you would lose (28,701) from holding WIG 30 or give up 9.27% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.45% |
Values | Daily Returns |
WIG 30 vs. OMX Copenhagen All
Performance |
Timeline |
WIG 30 and OMX Copenhagen Volatility Contrast
Predicted Return Density |
Returns |
WIG 30
Pair trading matchups for WIG 30
OMX Copenhagen All
Pair trading matchups for OMX Copenhagen
Pair Trading with WIG 30 and OMX Copenhagen
The main advantage of trading using opposite WIG 30 and OMX Copenhagen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WIG 30 position performs unexpectedly, OMX Copenhagen 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 OMX Copenhagen will offset losses from the drop in OMX Copenhagen's long position.WIG 30 vs. ING Bank lski | WIG 30 vs. LSI Software SA | WIG 30 vs. Quantum Software SA | WIG 30 vs. GreenX Metals |
OMX Copenhagen vs. Lollands Bank | OMX Copenhagen vs. Scandinavian Medical Solutions | OMX Copenhagen vs. Skjern Bank AS | OMX Copenhagen vs. Danske Andelskassers Bank |
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 Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Other Complementary Tools
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios |