Correlation Between Sanyo Chemical and Sumitomo Mitsui
Can any of the company-specific risk be diversified away by investing in both Sanyo Chemical 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 Sanyo Chemical and Sumitomo Mitsui into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sanyo Chemical Industries and Sumitomo Mitsui Construction, you can compare the effects of market volatilities on Sanyo Chemical 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 Sanyo Chemical with a short position of Sumitomo Mitsui. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sanyo Chemical and Sumitomo Mitsui.
Diversification Opportunities for Sanyo Chemical and Sumitomo Mitsui
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sanyo and Sumitomo is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Sanyo Chemical Industries 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 Sanyo Chemical 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 Sanyo Chemical Industries 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 Sanyo Chemical i.e., Sanyo Chemical and Sumitomo Mitsui go up and down completely randomly.
Pair Corralation between Sanyo Chemical and Sumitomo Mitsui
Assuming the 90 days horizon Sanyo Chemical Industries is expected to generate 0.88 times more return on investment than Sumitomo Mitsui. However, Sanyo Chemical Industries is 1.14 times less risky than Sumitomo Mitsui. It trades about -0.01 of its potential returns per unit of risk. Sumitomo Mitsui Construction is currently generating about -0.01 per unit of risk. If you would invest 2,800 in Sanyo Chemical Industries on September 15, 2024 and sell it today you would lose (280.00) from holding Sanyo Chemical Industries or give up 10.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Sanyo Chemical Industries vs. Sumitomo Mitsui Construction
Performance |
Timeline |
Sanyo Chemical Industries |
Sumitomo Mitsui Cons |
Sanyo Chemical and Sumitomo Mitsui Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sanyo Chemical and Sumitomo Mitsui
The main advantage of trading using opposite Sanyo Chemical and Sumitomo Mitsui positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sanyo Chemical 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.Sanyo Chemical vs. NURAN WIRELESS INC | Sanyo Chemical vs. ASURE SOFTWARE | Sanyo Chemical vs. CPU SOFTWAREHOUSE | Sanyo Chemical vs. VITEC SOFTWARE GROUP |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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