Correlation Between Arcticzymes Technologies and Sparebank
Can any of the company-specific risk be diversified away by investing in both Arcticzymes Technologies and 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 Arcticzymes Technologies and Sparebank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Arcticzymes Technologies ASA and Sparebank 1 SMN, you can compare the effects of market volatilities on Arcticzymes Technologies and 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 Arcticzymes Technologies with a short position of Sparebank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Arcticzymes Technologies and Sparebank.
Diversification Opportunities for Arcticzymes Technologies and Sparebank
-0.66 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Arcticzymes and Sparebank is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding Arcticzymes Technologies ASA and Sparebank 1 SMN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sparebank 1 SMN and Arcticzymes Technologies 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 Arcticzymes Technologies ASA are associated (or correlated) with Sparebank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sparebank 1 SMN has no effect on the direction of Arcticzymes Technologies i.e., Arcticzymes Technologies and Sparebank go up and down completely randomly.
Pair Corralation between Arcticzymes Technologies and Sparebank
Assuming the 90 days trading horizon Arcticzymes Technologies ASA is expected to under-perform the Sparebank. In addition to that, Arcticzymes Technologies is 3.9 times more volatile than Sparebank 1 SMN. It trades about -0.16 of its total potential returns per unit of risk. Sparebank 1 SMN is currently generating about 0.09 per unit of volatility. If you would invest 15,650 in Sparebank 1 SMN on September 2, 2024 and sell it today you would earn a total of 760.00 from holding Sparebank 1 SMN or generate 4.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Arcticzymes Technologies ASA vs. Sparebank 1 SMN
Performance |
Timeline |
Arcticzymes Technologies |
Sparebank 1 SMN |
Arcticzymes Technologies and Sparebank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Arcticzymes Technologies and Sparebank
The main advantage of trading using opposite Arcticzymes Technologies and Sparebank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Arcticzymes Technologies position performs unexpectedly, 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 Sparebank will offset losses from the drop in Sparebank's long position.Arcticzymes Technologies vs. Carasent ASA | Arcticzymes Technologies vs. Bergenbio ASA | Arcticzymes Technologies vs. Photocure | Arcticzymes Technologies vs. Kitron 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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