Correlation Between Mitsubishi Materials and ANGANG STEEL
Can any of the company-specific risk be diversified away by investing in both Mitsubishi Materials and ANGANG STEEL 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 Mitsubishi Materials and ANGANG STEEL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mitsubishi Materials and ANGANG STEEL H , you can compare the effects of market volatilities on Mitsubishi Materials and ANGANG STEEL 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 Mitsubishi Materials with a short position of ANGANG STEEL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mitsubishi Materials and ANGANG STEEL.
Diversification Opportunities for Mitsubishi Materials and ANGANG STEEL
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Mitsubishi and ANGANG is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Mitsubishi Materials and ANGANG STEEL H in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ANGANG STEEL H and Mitsubishi Materials 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 Mitsubishi Materials are associated (or correlated) with ANGANG STEEL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ANGANG STEEL H has no effect on the direction of Mitsubishi Materials i.e., Mitsubishi Materials and ANGANG STEEL go up and down completely randomly.
Pair Corralation between Mitsubishi Materials and ANGANG STEEL
Assuming the 90 days trading horizon Mitsubishi Materials is expected to generate 0.7 times more return on investment than ANGANG STEEL. However, Mitsubishi Materials is 1.44 times less risky than ANGANG STEEL. It trades about -0.12 of its potential returns per unit of risk. ANGANG STEEL H is currently generating about -0.09 per unit of risk. If you would invest 1,510 in Mitsubishi Materials on October 11, 2024 and sell it today you would lose (70.00) from holding Mitsubishi Materials or give up 4.64% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Mitsubishi Materials vs. ANGANG STEEL H
Performance |
Timeline |
Mitsubishi Materials |
ANGANG STEEL H |
Mitsubishi Materials and ANGANG STEEL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mitsubishi Materials and ANGANG STEEL
The main advantage of trading using opposite Mitsubishi Materials and ANGANG STEEL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mitsubishi Materials position performs unexpectedly, ANGANG STEEL 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 ANGANG STEEL will offset losses from the drop in ANGANG STEEL's long position.Mitsubishi Materials vs. Fevertree Drinks PLC | Mitsubishi Materials vs. SPARTAN STORES | Mitsubishi Materials vs. Thai Beverage Public | Mitsubishi Materials vs. BOSTON BEER A |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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