Correlation Between First Asset and Franklin Bissett
Can any of the company-specific risk be diversified away by investing in both First Asset and Franklin Bissett 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 First Asset and Franklin Bissett into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Asset Energy and Franklin Bissett Corporate, you can compare the effects of market volatilities on First Asset and Franklin Bissett 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 First Asset with a short position of Franklin Bissett. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Asset and Franklin Bissett.
Diversification Opportunities for First Asset and Franklin Bissett
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between First and Franklin is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding First Asset Energy and Franklin Bissett Corporate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin Bissett Cor and First Asset 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 First Asset Energy are associated (or correlated) with Franklin Bissett. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin Bissett Cor has no effect on the direction of First Asset i.e., First Asset and Franklin Bissett go up and down completely randomly.
Pair Corralation between First Asset and Franklin Bissett
Assuming the 90 days trading horizon First Asset is expected to generate 1.35 times less return on investment than Franklin Bissett. In addition to that, First Asset is 3.18 times more volatile than Franklin Bissett Corporate. It trades about 0.02 of its total potential returns per unit of risk. Franklin Bissett Corporate is currently generating about 0.07 per unit of volatility. If you would invest 1,587 in Franklin Bissett Corporate on October 21, 2024 and sell it today you would earn a total of 203.00 from holding Franklin Bissett Corporate or generate 12.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
First Asset Energy vs. Franklin Bissett Corporate
Performance |
Timeline |
First Asset Energy |
Franklin Bissett Cor |
First Asset and Franklin Bissett Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Asset and Franklin Bissett
The main advantage of trading using opposite First Asset and Franklin Bissett positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Asset position performs unexpectedly, Franklin Bissett 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 Franklin Bissett will offset losses from the drop in Franklin Bissett's long position.First Asset vs. CI Gold Giants | First Asset vs. First Asset Tech | First Asset vs. CI Canada Lifeco | First Asset vs. Harvest Healthcare Leaders |
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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 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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