Correlation Between Power and Exchange Income
Can any of the company-specific risk be diversified away by investing in both Power and Exchange Income 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 Power and Exchange Income into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Power and Exchange Income, you can compare the effects of market volatilities on Power and Exchange Income 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 Power with a short position of Exchange Income. Check out your portfolio center. Please also check ongoing floating volatility patterns of Power and Exchange Income.
Diversification Opportunities for Power and Exchange Income
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Power and Exchange is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Power and Exchange Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Exchange Income and Power 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 Power are associated (or correlated) with Exchange Income. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Exchange Income has no effect on the direction of Power i.e., Power and Exchange Income go up and down completely randomly.
Pair Corralation between Power and Exchange Income
Assuming the 90 days trading horizon Power is expected to generate 1.83 times less return on investment than Exchange Income. But when comparing it to its historical volatility, Power is 1.37 times less risky than Exchange Income. It trades about 0.22 of its potential returns per unit of risk. Exchange Income is currently generating about 0.29 of returns per unit of risk over similar time horizon. If you would invest 5,716 in Exchange Income on May 18, 2025 and sell it today you would earn a total of 1,571 from holding Exchange Income or generate 27.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Power vs. Exchange Income
Performance |
Timeline |
Power |
Exchange Income |
Power and Exchange Income Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Power and Exchange Income
The main advantage of trading using opposite Power and Exchange Income positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power position performs unexpectedly, Exchange Income 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 Exchange Income will offset losses from the drop in Exchange Income's long position.Power vs. Great West Lifeco | Power vs. Manulife Financial Corp | Power vs. Sun Life Financial | Power vs. Fortis Inc |
Exchange Income vs. Capital Power | Exchange Income vs. Keyera Corp | Exchange Income vs. Parkland Fuel | Exchange Income vs. TFI International |
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 Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Other Complementary Tools
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |