Correlation Between SPTSX Dividend and Enbridge Pref

Can any of the company-specific risk be diversified away by investing in both SPTSX Dividend and Enbridge Pref 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 SPTSX Dividend and Enbridge Pref into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between SPTSX Dividend Aristocrats and Enbridge Pref 1, you can compare the effects of market volatilities on SPTSX Dividend and Enbridge Pref 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 Enbridge Pref. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPTSX Dividend and Enbridge Pref.

Diversification Opportunities for SPTSX Dividend and Enbridge Pref

0.77

Correlation Coefficient

SPTSX Dividend  Enbridge Pref

Poor diversification

The 3 months correlation between SPTSX and Enbridge is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding SPTSX Dividend Aristocrats and Enbridge Pref 1 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Enbridge Pref 1 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 Enbridge Pref. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Enbridge Pref 1 has no effect on the direction of SPTSX Dividend i.e., SPTSX Dividend and Enbridge Pref go up and down completely randomly.

Pair Corralation between SPTSX Dividend and Enbridge Pref

Assuming the 90 days trading horizon SPTSX Dividend Aristocrats is expected to under-perform the Enbridge Pref. In addition to that, SPTSX Dividend is 1.85 times more volatile than Enbridge Pref 1. It trades about -0.3 of its total potential returns per unit of risk. Enbridge Pref 1 is currently generating about -0.04 per unit of volatility. If you would invest  2,380  in Enbridge Pref 1 on September 25, 2024 and sell it today you would lose (6.00) from holding Enbridge Pref 1 or give up 0.25% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

SPTSX Dividend Aristocrats  vs.  Enbridge Pref 1

Pair Trading with SPTSX Dividend and Enbridge Pref

The main advantage of trading using opposite SPTSX Dividend and Enbridge Pref positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPTSX Dividend position performs unexpectedly, Enbridge Pref 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 Enbridge Pref will offset losses from the drop in Enbridge Pref's long position.

The idea behind SPTSX Dividend Aristocrats and Enbridge Pref 1 pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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.