Correlation Between BMO Dividend and NYSE Composite

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

By analyzing existing cross correlation between BMO Dividend ETF and NYSE Composite, you can compare the effects of market volatilities on BMO Dividend and NYSE Composite 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 BMO Dividend with a short position of NYSE Composite. Check out your portfolio center. Please also check ongoing floating volatility patterns of BMO Dividend and NYSE Composite.

Diversification Opportunities for BMO Dividend and NYSE Composite

0.84

Correlation Coefficient

BMO Dividend  NYSE Composite

Very poor diversification

The 3 months correlation between BMO and NYSE is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding BMO Dividend ETF and NYSE Composite in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NYSE Composite and BMO 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 BMO Dividend ETF are associated (or correlated) with NYSE Composite. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NYSE Composite has no effect on the direction of BMO Dividend i.e., BMO Dividend and NYSE Composite go up and down completely randomly.

Pair Corralation between BMO Dividend and NYSE Composite

Assuming the 90 days trading horizon BMO Dividend ETF is expected to generate 1.17 times more return on investment than NYSE Composite. However, BMO Dividend is 1.17 times more volatile than NYSE Composite. It trades about 0.08 of its potential returns per unit of risk. NYSE Composite is currently generating about -0.01 per unit of risk. If you would invest  3,010  in BMO Dividend ETF on March 7, 2024 and sell it today you would earn a total of  37.00  from holding BMO Dividend ETF or generate 1.23% return on investment over 90 days.

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

BMO Dividend ETF  vs.  NYSE Composite

Pair Trading with BMO Dividend and NYSE Composite

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

The idea behind BMO Dividend ETF and NYSE Composite 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.

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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.