Correlation Between Mitsubishi Heavy and Dear Cashmere
Can any of the company-specific risk be diversified away by investing in both Mitsubishi Heavy and Dear Cashmere 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 Heavy and Dear Cashmere into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mitsubishi Heavy Industries and Dear Cashmere Holding, you can compare the effects of market volatilities on Mitsubishi Heavy and Dear Cashmere 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 Heavy with a short position of Dear Cashmere. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mitsubishi Heavy and Dear Cashmere.
Diversification Opportunities for Mitsubishi Heavy and Dear Cashmere
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Mitsubishi and Dear is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Mitsubishi Heavy Industries and Dear Cashmere Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dear Cashmere Holding and Mitsubishi Heavy 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 Heavy Industries are associated (or correlated) with Dear Cashmere. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dear Cashmere Holding has no effect on the direction of Mitsubishi Heavy i.e., Mitsubishi Heavy and Dear Cashmere go up and down completely randomly.
Pair Corralation between Mitsubishi Heavy and Dear Cashmere
Assuming the 90 days horizon Mitsubishi Heavy is expected to generate 2.87 times less return on investment than Dear Cashmere. But when comparing it to its historical volatility, Mitsubishi Heavy Industries is 4.93 times less risky than Dear Cashmere. It trades about 0.16 of its potential returns per unit of risk. Dear Cashmere Holding is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 14.00 in Dear Cashmere Holding on September 13, 2024 and sell it today you would earn a total of 3.00 from holding Dear Cashmere Holding or generate 21.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Mitsubishi Heavy Industries vs. Dear Cashmere Holding
Performance |
Timeline |
Mitsubishi Heavy Ind |
Dear Cashmere Holding |
Mitsubishi Heavy and Dear Cashmere Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mitsubishi Heavy and Dear Cashmere
The main advantage of trading using opposite Mitsubishi Heavy and Dear Cashmere positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mitsubishi Heavy position performs unexpectedly, Dear Cashmere 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 Dear Cashmere will offset losses from the drop in Dear Cashmere's long position.Mitsubishi Heavy vs. Xinjiang Goldwind Science | Mitsubishi Heavy vs. American Superconductor | Mitsubishi Heavy vs. Cummins | Mitsubishi Heavy vs. Aquagold International |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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