Correlation Between Romsdal Sparebank and Polaris Media
Can any of the company-specific risk be diversified away by investing in both Romsdal Sparebank and Polaris Media 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 Romsdal Sparebank and Polaris Media into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Romsdal Sparebank and Polaris Media, you can compare the effects of market volatilities on Romsdal Sparebank and Polaris Media 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 Romsdal Sparebank with a short position of Polaris Media. Check out your portfolio center. Please also check ongoing floating volatility patterns of Romsdal Sparebank and Polaris Media.
Diversification Opportunities for Romsdal Sparebank and Polaris Media
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Romsdal and Polaris is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Romsdal Sparebank and Polaris Media in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Polaris Media and Romsdal Sparebank 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 Romsdal Sparebank are associated (or correlated) with Polaris Media. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Polaris Media has no effect on the direction of Romsdal Sparebank i.e., Romsdal Sparebank and Polaris Media go up and down completely randomly.
Pair Corralation between Romsdal Sparebank and Polaris Media
Assuming the 90 days trading horizon Romsdal Sparebank is expected to generate 1.97 times less return on investment than Polaris Media. But when comparing it to its historical volatility, Romsdal Sparebank is 3.44 times less risky than Polaris Media. It trades about 0.18 of its potential returns per unit of risk. Polaris Media is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 7,250 in Polaris Media on September 5, 2024 and sell it today you would earn a total of 1,250 from holding Polaris Media or generate 17.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.46% |
Values | Daily Returns |
Romsdal Sparebank vs. Polaris Media
Performance |
Timeline |
Romsdal Sparebank |
Polaris Media |
Romsdal Sparebank and Polaris Media Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Romsdal Sparebank and Polaris Media
The main advantage of trading using opposite Romsdal Sparebank and Polaris Media positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Romsdal Sparebank position performs unexpectedly, Polaris Media 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 Polaris Media will offset losses from the drop in Polaris Media's long position.Romsdal Sparebank vs. Veidekke ASA | Romsdal Sparebank vs. Sparebank 1 Ringerike | Romsdal Sparebank vs. DnB ASA | Romsdal Sparebank vs. Norsk Hydro 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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