Correlation Between Canadian Pacific and LB Foster
Can any of the company-specific risk be diversified away by investing in both Canadian Pacific and LB Foster 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 LB Foster 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 LB Foster, you can compare the effects of market volatilities on Canadian Pacific and LB Foster 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 LB Foster. Check out your portfolio center. Please also check ongoing floating volatility patterns of Canadian Pacific and LB Foster.
Diversification Opportunities for Canadian Pacific and LB Foster
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Canadian and FSTR is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Canadian Pacific Railway and LB Foster in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LB Foster 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 LB Foster. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LB Foster has no effect on the direction of Canadian Pacific i.e., Canadian Pacific and LB Foster go up and down completely randomly.
Pair Corralation between Canadian Pacific and LB Foster
Allowing for the 90-day total investment horizon Canadian Pacific Railway is expected to generate 0.69 times more return on investment than LB Foster. However, Canadian Pacific Railway is 1.46 times less risky than LB Foster. It trades about 0.04 of its potential returns per unit of risk. LB Foster is currently generating about -0.04 per unit of risk. If you would invest 7,521 in Canadian Pacific Railway on November 27, 2024 and sell it today you would earn a total of 227.00 from holding Canadian Pacific Railway or generate 3.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Canadian Pacific Railway vs. LB Foster
Performance |
Timeline |
Canadian Pacific Railway |
LB Foster |
Canadian Pacific and LB Foster Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Canadian Pacific and LB Foster
The main advantage of trading using opposite Canadian Pacific and LB Foster positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Canadian Pacific position performs unexpectedly, LB Foster 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 LB Foster will offset losses from the drop in LB Foster's long position.Canadian Pacific vs. Union Pacific | Canadian Pacific vs. CSX Corporation | Canadian Pacific vs. Norfolk Southern | Canadian Pacific vs. Westinghouse Air Brake |
LB Foster vs. Trinity Industries | LB Foster vs. Freightcar America | LB Foster vs. Westinghouse Air Brake | LB Foster vs. Norfolk Southern |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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