Correlation Between North American and Dividend Growth
Can any of the company-specific risk be diversified away by investing in both North American and Dividend Growth 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 North American and Dividend Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between North American Financial and Dividend Growth Split, you can compare the effects of market volatilities on North American and Dividend Growth 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 North American with a short position of Dividend Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of North American and Dividend Growth.
Diversification Opportunities for North American and Dividend Growth
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between North and Dividend is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding North American Financial and Dividend Growth Split in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dividend Growth Split and North American 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 North American Financial are associated (or correlated) with Dividend Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dividend Growth Split has no effect on the direction of North American i.e., North American and Dividend Growth go up and down completely randomly.
Pair Corralation between North American and Dividend Growth
Assuming the 90 days trading horizon North American Financial is expected to generate 0.56 times more return on investment than Dividend Growth. However, North American Financial is 1.79 times less risky than Dividend Growth. It trades about 0.24 of its potential returns per unit of risk. Dividend Growth Split is currently generating about 0.09 per unit of risk. If you would invest 1,016 in North American Financial on September 3, 2024 and sell it today you would earn a total of 39.00 from holding North American Financial or generate 3.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
North American Financial vs. Dividend Growth Split
Performance |
Timeline |
North American Financial |
Dividend Growth Split |
North American and Dividend Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with North American and Dividend Growth
The main advantage of trading using opposite North American and Dividend Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if North American position performs unexpectedly, Dividend Growth 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 Dividend Growth will offset losses from the drop in Dividend Growth's long position.North American vs. Financial 15 Split | North American vs. Dividend 15 Split | North American vs. Dividend Growth Split | North American vs. Dividend 15 Split |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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