Correlation Between Canadian Pacific and Ming Shing
Can any of the company-specific risk be diversified away by investing in both Canadian Pacific and Ming Shing 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 Canadian Pacific and Ming Shing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Canadian Pacific Railway and Ming Shing Group, you can compare the effects of market volatilities on Canadian Pacific and Ming Shing 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 Canadian Pacific with a short position of Ming Shing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Canadian Pacific and Ming Shing.
Diversification Opportunities for Canadian Pacific and Ming Shing
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Canadian and Ming is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Canadian Pacific Railway and Ming Shing Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ming Shing Group and Canadian Pacific 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 Canadian Pacific Railway are associated (or correlated) with Ming Shing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ming Shing Group has no effect on the direction of Canadian Pacific i.e., Canadian Pacific and Ming Shing go up and down completely randomly.
Pair Corralation between Canadian Pacific and Ming Shing
Allowing for the 90-day total investment horizon Canadian Pacific Railway is expected to generate 0.13 times more return on investment than Ming Shing. However, Canadian Pacific Railway is 7.61 times less risky than Ming Shing. It trades about 0.02 of its potential returns per unit of risk. Ming Shing Group is currently generating about -0.03 per unit of risk. If you would invest 7,596 in Canadian Pacific Railway on October 12, 2024 and sell it today you would earn a total of 24.00 from holding Canadian Pacific Railway or generate 0.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Canadian Pacific Railway vs. Ming Shing Group
Performance |
Timeline |
Canadian Pacific Railway |
Ming Shing Group |
Canadian Pacific and Ming Shing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Canadian Pacific and Ming Shing
The main advantage of trading using opposite Canadian Pacific and Ming Shing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Canadian Pacific position performs unexpectedly, Ming Shing 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 Shing will offset losses from the drop in Ming Shing's long position.Canadian Pacific vs. Union Pacific | Canadian Pacific vs. CSX Corporation | Canadian Pacific vs. Norfolk Southern | Canadian Pacific vs. Westinghouse Air Brake |
Ming Shing vs. Bankwell Financial Group | Ming Shing vs. Park National | Ming Shing vs. Arq Inc | Ming Shing vs. Malaga Financial |
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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