Correlation Between SPTSX Dividend and Fidelity Canadian
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By analyzing existing cross correlation between SPTSX Dividend Aristocrats and Fidelity Canadian Value, you can compare the effects of market volatilities on SPTSX Dividend and Fidelity Canadian 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 SPTSX Dividend with a short position of Fidelity Canadian. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPTSX Dividend and Fidelity Canadian.
Diversification Opportunities for SPTSX Dividend and Fidelity Canadian
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between SPTSX and Fidelity is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding SPTSX Dividend Aristocrats and Fidelity Canadian Value in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Canadian Value and SPTSX Dividend 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 SPTSX Dividend Aristocrats are associated (or correlated) with Fidelity Canadian. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Canadian Value has no effect on the direction of SPTSX Dividend i.e., SPTSX Dividend and Fidelity Canadian go up and down completely randomly.
Pair Corralation between SPTSX Dividend and Fidelity Canadian
Assuming the 90 days trading horizon SPTSX Dividend Aristocrats is expected to under-perform the Fidelity Canadian. But the index apears to be less risky and, when comparing its historical volatility, SPTSX Dividend Aristocrats is 1.38 times less risky than Fidelity Canadian. The index trades about -0.02 of its potential returns per unit of risk. The Fidelity Canadian Value is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 1,477 in Fidelity Canadian Value on December 30, 2024 and sell it today you would earn a total of 36.00 from holding Fidelity Canadian Value or generate 2.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SPTSX Dividend Aristocrats vs. Fidelity Canadian Value
Performance |
Timeline |
SPTSX Dividend and Fidelity Canadian Volatility Contrast
Predicted Return Density |
Returns |
SPTSX Dividend Aristocrats
Pair trading matchups for SPTSX Dividend
Fidelity Canadian Value
Pair trading matchups for Fidelity Canadian
Pair Trading with SPTSX Dividend and Fidelity Canadian
The main advantage of trading using opposite SPTSX Dividend and Fidelity Canadian positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPTSX Dividend position performs unexpectedly, Fidelity Canadian 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 Fidelity Canadian will offset losses from the drop in Fidelity Canadian's long position.SPTSX Dividend vs. iA Financial | SPTSX Dividend vs. E L Financial Corp | SPTSX Dividend vs. Air Canada | SPTSX Dividend vs. Altair Resources |
Fidelity Canadian vs. Fidelity Value ETF | Fidelity Canadian vs. Fidelity Canadian High | Fidelity Canadian vs. Fidelity Canadian High | Fidelity Canadian vs. Fidelity High Quality |
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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