Correlation Between AGFiQ Market and Solar Alliance
Can any of the company-specific risk be diversified away by investing in both AGFiQ Market and Solar Alliance 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 AGFiQ Market and Solar Alliance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AGFiQ Market Neutral and Solar Alliance Energy, you can compare the effects of market volatilities on AGFiQ Market and Solar Alliance 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 AGFiQ Market with a short position of Solar Alliance. Check out your portfolio center. Please also check ongoing floating volatility patterns of AGFiQ Market and Solar Alliance.
Diversification Opportunities for AGFiQ Market and Solar Alliance
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between AGFiQ and Solar is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding AGFiQ Market Neutral and Solar Alliance Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Solar Alliance Energy and AGFiQ Market 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 AGFiQ Market Neutral are associated (or correlated) with Solar Alliance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Solar Alliance Energy has no effect on the direction of AGFiQ Market i.e., AGFiQ Market and Solar Alliance go up and down completely randomly.
Pair Corralation between AGFiQ Market and Solar Alliance
Assuming the 90 days trading horizon AGFiQ Market Neutral is expected to under-perform the Solar Alliance. But the etf apears to be less risky and, when comparing its historical volatility, AGFiQ Market Neutral is 17.42 times less risky than Solar Alliance. The etf trades about -0.14 of its potential returns per unit of risk. The Solar Alliance Energy is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 4.00 in Solar Alliance Energy on September 16, 2024 and sell it today you would lose (1.00) from holding Solar Alliance Energy or give up 25.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
AGFiQ Market Neutral vs. Solar Alliance Energy
Performance |
Timeline |
AGFiQ Market Neutral |
Solar Alliance Energy |
AGFiQ Market and Solar Alliance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AGFiQ Market and Solar Alliance
The main advantage of trading using opposite AGFiQ Market and Solar Alliance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AGFiQ Market position performs unexpectedly, Solar Alliance 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 Solar Alliance will offset losses from the drop in Solar Alliance's long position.AGFiQ Market vs. Desjardins Alt LongShort | AGFiQ Market vs. BMO Tactical Dividend | AGFiQ Market vs. NBI Liquid Alternatives | AGFiQ Market vs. BMO Premium Yield |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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