Correlation Between Samsung Electronics and Norsk Hydro
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Norsk Hydro 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 Samsung Electronics and Norsk Hydro into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samsung Electronics Co and Norsk Hydro ASA, you can compare the effects of market volatilities on Samsung Electronics and Norsk Hydro 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 Samsung Electronics with a short position of Norsk Hydro. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Norsk Hydro.
Diversification Opportunities for Samsung Electronics and Norsk Hydro
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Samsung and Norsk is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Norsk Hydro ASA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Norsk Hydro ASA and Samsung Electronics 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 Samsung Electronics Co are associated (or correlated) with Norsk Hydro. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Norsk Hydro ASA has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Norsk Hydro go up and down completely randomly.
Pair Corralation between Samsung Electronics and Norsk Hydro
Assuming the 90 days horizon Samsung Electronics Co is expected to under-perform the Norsk Hydro. But the stock apears to be less risky and, when comparing its historical volatility, Samsung Electronics Co is 1.28 times less risky than Norsk Hydro. The stock trades about -0.19 of its potential returns per unit of risk. The Norsk Hydro ASA is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 492.00 in Norsk Hydro ASA on August 31, 2024 and sell it today you would earn a total of 78.00 from holding Norsk Hydro ASA or generate 15.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Norsk Hydro ASA
Performance |
Timeline |
Samsung Electronics |
Norsk Hydro ASA |
Samsung Electronics and Norsk Hydro Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Norsk Hydro
The main advantage of trading using opposite Samsung Electronics and Norsk Hydro positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Norsk Hydro 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 Norsk Hydro will offset losses from the drop in Norsk Hydro's long position.Samsung Electronics vs. Fukuyama Transporting Co | Samsung Electronics vs. KAUFMAN ET BROAD | Samsung Electronics vs. The Hanover Insurance | Samsung Electronics vs. Goosehead Insurance |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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