Correlation Between Northland Power and Sumitomo Mitsui
Can any of the company-specific risk be diversified away by investing in both Northland Power and Sumitomo Mitsui 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 Northland Power and Sumitomo Mitsui into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Northland Power and Sumitomo Mitsui Construction, you can compare the effects of market volatilities on Northland Power and Sumitomo Mitsui 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 Northland Power with a short position of Sumitomo Mitsui. Check out your portfolio center. Please also check ongoing floating volatility patterns of Northland Power and Sumitomo Mitsui.
Diversification Opportunities for Northland Power and Sumitomo Mitsui
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Northland and Sumitomo is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Northland Power and Sumitomo Mitsui Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sumitomo Mitsui Cons and Northland Power 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 Northland Power are associated (or correlated) with Sumitomo Mitsui. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sumitomo Mitsui Cons has no effect on the direction of Northland Power i.e., Northland Power and Sumitomo Mitsui go up and down completely randomly.
Pair Corralation between Northland Power and Sumitomo Mitsui
Assuming the 90 days horizon Northland Power is expected to under-perform the Sumitomo Mitsui. In addition to that, Northland Power is 1.23 times more volatile than Sumitomo Mitsui Construction. It trades about -0.14 of its total potential returns per unit of risk. Sumitomo Mitsui Construction is currently generating about 0.12 per unit of volatility. If you would invest 228.00 in Sumitomo Mitsui Construction on October 7, 2024 and sell it today you would earn a total of 20.00 from holding Sumitomo Mitsui Construction or generate 8.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Northland Power vs. Sumitomo Mitsui Construction
Performance |
Timeline |
Northland Power |
Sumitomo Mitsui Cons |
Northland Power and Sumitomo Mitsui Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Northland Power and Sumitomo Mitsui
The main advantage of trading using opposite Northland Power and Sumitomo Mitsui positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Northland Power position performs unexpectedly, Sumitomo Mitsui 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 Sumitomo Mitsui will offset losses from the drop in Sumitomo Mitsui's long position.Northland Power vs. KIMBALL ELECTRONICS | Northland Power vs. AOI Electronics Co | Northland Power vs. STMICROELECTRONICS | Northland Power vs. Applied Materials |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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