Correlation Between Norsk Hydro and Japan Medical
Can any of the company-specific risk be diversified away by investing in both Norsk Hydro and Japan Medical 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 Norsk Hydro and Japan Medical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Norsk Hydro ASA and Japan Medical Dynamic, you can compare the effects of market volatilities on Norsk Hydro and Japan Medical 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 Norsk Hydro with a short position of Japan Medical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Norsk Hydro and Japan Medical.
Diversification Opportunities for Norsk Hydro and Japan Medical
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Norsk and Japan is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Norsk Hydro ASA and Japan Medical Dynamic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Japan Medical Dynamic and Norsk Hydro 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 Norsk Hydro ASA are associated (or correlated) with Japan Medical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Japan Medical Dynamic has no effect on the direction of Norsk Hydro i.e., Norsk Hydro and Japan Medical go up and down completely randomly.
Pair Corralation between Norsk Hydro and Japan Medical
Assuming the 90 days trading horizon Norsk Hydro ASA is expected to generate 2.05 times more return on investment than Japan Medical. However, Norsk Hydro is 2.05 times more volatile than Japan Medical Dynamic. It trades about 0.09 of its potential returns per unit of risk. Japan Medical Dynamic is currently generating about -0.22 per unit of risk. If you would invest 496.00 in Norsk Hydro ASA on September 13, 2024 and sell it today you would earn a total of 70.00 from holding Norsk Hydro ASA or generate 14.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Norsk Hydro ASA vs. Japan Medical Dynamic
Performance |
Timeline |
Norsk Hydro ASA |
Japan Medical Dynamic |
Norsk Hydro and Japan Medical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Norsk Hydro and Japan Medical
The main advantage of trading using opposite Norsk Hydro and Japan Medical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Norsk Hydro position performs unexpectedly, Japan Medical 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 Japan Medical will offset losses from the drop in Japan Medical's long position.Norsk Hydro vs. Goosehead Insurance | Norsk Hydro vs. RETAIL FOOD GROUP | Norsk Hydro vs. COSTCO WHOLESALE CDR | Norsk Hydro vs. SBI Insurance Group |
Japan Medical vs. United States Steel | Japan Medical vs. Host Hotels Resorts | Japan Medical vs. Hyatt Hotels | Japan Medical vs. Khiron Life Sciences |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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