Correlation Between Gaming Innovation and Kongsberg Gruppen
Can any of the company-specific risk be diversified away by investing in both Gaming Innovation and Kongsberg Gruppen 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 Gaming Innovation and Kongsberg Gruppen into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gaming Innovation Group and Kongsberg Gruppen ASA, you can compare the effects of market volatilities on Gaming Innovation and Kongsberg Gruppen 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 Gaming Innovation with a short position of Kongsberg Gruppen. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gaming Innovation and Kongsberg Gruppen.
Diversification Opportunities for Gaming Innovation and Kongsberg Gruppen
-0.84 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Gaming and Kongsberg is -0.84. Overlapping area represents the amount of risk that can be diversified away by holding Gaming Innovation Group and Kongsberg Gruppen ASA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kongsberg Gruppen ASA and Gaming Innovation 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 Gaming Innovation Group are associated (or correlated) with Kongsberg Gruppen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kongsberg Gruppen ASA has no effect on the direction of Gaming Innovation i.e., Gaming Innovation and Kongsberg Gruppen go up and down completely randomly.
Pair Corralation between Gaming Innovation and Kongsberg Gruppen
Assuming the 90 days trading horizon Gaming Innovation Group is expected to under-perform the Kongsberg Gruppen. In addition to that, Gaming Innovation is 1.14 times more volatile than Kongsberg Gruppen ASA. It trades about -0.17 of its total potential returns per unit of risk. Kongsberg Gruppen ASA is currently generating about 0.13 per unit of volatility. If you would invest 109,398 in Kongsberg Gruppen ASA on September 14, 2024 and sell it today you would earn a total of 20,402 from holding Kongsberg Gruppen ASA or generate 18.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 81.25% |
Values | Daily Returns |
Gaming Innovation Group vs. Kongsberg Gruppen ASA
Performance |
Timeline |
Gaming Innovation |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Kongsberg Gruppen ASA |
Gaming Innovation and Kongsberg Gruppen Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gaming Innovation and Kongsberg Gruppen
The main advantage of trading using opposite Gaming Innovation and Kongsberg Gruppen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gaming Innovation position performs unexpectedly, Kongsberg Gruppen 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 Kongsberg Gruppen will offset losses from the drop in Kongsberg Gruppen's long position.Gaming Innovation vs. Idex ASA | Gaming Innovation vs. Kitron ASA | Gaming Innovation vs. Betsson AB | Gaming Innovation vs. Kongsberg Gruppen ASA |
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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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