Correlation Between Sumitomo Corp and Steel Partners
Can any of the company-specific risk be diversified away by investing in both Sumitomo Corp and Steel Partners 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 Sumitomo Corp and Steel Partners into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sumitomo Corp ADR and Steel Partners Holdings, you can compare the effects of market volatilities on Sumitomo Corp and Steel Partners 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 Sumitomo Corp with a short position of Steel Partners. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sumitomo Corp and Steel Partners.
Diversification Opportunities for Sumitomo Corp and Steel Partners
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between Sumitomo and Steel is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding Sumitomo Corp ADR and Steel Partners Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Steel Partners Holdings and Sumitomo Corp 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 Sumitomo Corp ADR are associated (or correlated) with Steel Partners. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Steel Partners Holdings has no effect on the direction of Sumitomo Corp i.e., Sumitomo Corp and Steel Partners go up and down completely randomly.
Pair Corralation between Sumitomo Corp and Steel Partners
Assuming the 90 days horizon Sumitomo Corp ADR is expected to under-perform the Steel Partners. But the pink sheet apears to be less risky and, when comparing its historical volatility, Sumitomo Corp ADR is 1.41 times less risky than Steel Partners. The pink sheet trades about -0.09 of its potential returns per unit of risk. The Steel Partners Holdings is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 3,900 in Steel Partners Holdings on September 1, 2024 and sell it today you would earn a total of 600.00 from holding Steel Partners Holdings or generate 15.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sumitomo Corp ADR vs. Steel Partners Holdings
Performance |
Timeline |
Sumitomo Corp ADR |
Steel Partners Holdings |
Sumitomo Corp and Steel Partners Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sumitomo Corp and Steel Partners
The main advantage of trading using opposite Sumitomo Corp and Steel Partners positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sumitomo Corp position performs unexpectedly, Steel Partners 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 Steel Partners will offset losses from the drop in Steel Partners' long position.Sumitomo Corp vs. Itochu Corp ADR | Sumitomo Corp vs. Mitsubishi Corp | Sumitomo Corp vs. ITOCHU | Sumitomo Corp vs. Marubeni Corp ADR |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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