Correlation Between Melhus Sparebank and Jaeren Sparebank
Can any of the company-specific risk be diversified away by investing in both Melhus Sparebank and Jaeren Sparebank 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 Melhus Sparebank and Jaeren Sparebank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Melhus Sparebank and Jaeren Sparebank, you can compare the effects of market volatilities on Melhus Sparebank and Jaeren Sparebank 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 Melhus Sparebank with a short position of Jaeren Sparebank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Melhus Sparebank and Jaeren Sparebank.
Diversification Opportunities for Melhus Sparebank and Jaeren Sparebank
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Melhus and Jaeren is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Melhus Sparebank and Jaeren Sparebank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jaeren Sparebank and Melhus 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 Melhus Sparebank are associated (or correlated) with Jaeren Sparebank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jaeren Sparebank has no effect on the direction of Melhus Sparebank i.e., Melhus Sparebank and Jaeren Sparebank go up and down completely randomly.
Pair Corralation between Melhus Sparebank and Jaeren Sparebank
Assuming the 90 days trading horizon Melhus Sparebank is expected to under-perform the Jaeren Sparebank. But the stock apears to be less risky and, when comparing its historical volatility, Melhus Sparebank is 1.46 times less risky than Jaeren Sparebank. The stock trades about -0.01 of its potential returns per unit of risk. The Jaeren Sparebank is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 30,995 in Jaeren Sparebank on September 4, 2024 and sell it today you would earn a total of 1,400 from holding Jaeren Sparebank or generate 4.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Melhus Sparebank vs. Jaeren Sparebank
Performance |
Timeline |
Melhus Sparebank |
Jaeren Sparebank |
Melhus Sparebank and Jaeren Sparebank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Melhus Sparebank and Jaeren Sparebank
The main advantage of trading using opposite Melhus Sparebank and Jaeren Sparebank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Melhus Sparebank position performs unexpectedly, Jaeren Sparebank 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 Jaeren Sparebank will offset losses from the drop in Jaeren Sparebank's long position.Melhus Sparebank vs. Holand og Setskog | Melhus Sparebank vs. Helgeland Sparebank | Melhus Sparebank vs. Elkem ASA | Melhus Sparebank vs. Integrated Wind Solutions |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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