Correlation Between Hyster-Yale Materials and Ming Le
Can any of the company-specific risk be diversified away by investing in both Hyster-Yale Materials and Ming Le 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 Hyster-Yale Materials and Ming Le into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hyster Yale Materials Handling and Ming Le Sports, you can compare the effects of market volatilities on Hyster-Yale Materials and Ming Le 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 Hyster-Yale Materials with a short position of Ming Le. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hyster-Yale Materials and Ming Le.
Diversification Opportunities for Hyster-Yale Materials and Ming Le
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Hyster-Yale and Ming is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding Hyster Yale Materials Handling and Ming Le Sports in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ming Le Sports and Hyster-Yale 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 Hyster Yale Materials Handling are associated (or correlated) with Ming Le. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ming Le Sports has no effect on the direction of Hyster-Yale Materials i.e., Hyster-Yale Materials and Ming Le go up and down completely randomly.
Pair Corralation between Hyster-Yale Materials and Ming Le
Assuming the 90 days trading horizon Hyster Yale Materials Handling is expected to under-perform the Ming Le. But the stock apears to be less risky and, when comparing its historical volatility, Hyster Yale Materials Handling is 1.49 times less risky than Ming Le. The stock trades about -0.01 of its potential returns per unit of risk. The Ming Le Sports is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 109.00 in Ming Le Sports on September 3, 2024 and sell it today you would earn a total of 30.00 from holding Ming Le Sports or generate 27.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hyster Yale Materials Handling vs. Ming Le Sports
Performance |
Timeline |
Hyster Yale Materials |
Ming Le Sports |
Hyster-Yale Materials and Ming Le Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hyster-Yale Materials and Ming Le
The main advantage of trading using opposite Hyster-Yale Materials and Ming Le positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hyster-Yale Materials position performs unexpectedly, Ming Le 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 Ming Le will offset losses from the drop in Ming Le's long position.Hyster-Yale Materials vs. Superior Plus Corp | Hyster-Yale Materials vs. NMI Holdings | Hyster-Yale Materials vs. Origin Agritech | Hyster-Yale Materials vs. SIVERS SEMICONDUCTORS AB |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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