Correlation Between Financial and Dividend Growth
Can any of the company-specific risk be diversified away by investing in both Financial 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 Financial and Dividend Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Financial 15 Split and Dividend Growth Split, you can compare the effects of market volatilities on Financial 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 Financial with a short position of Dividend Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Financial and Dividend Growth.
Diversification Opportunities for Financial and Dividend Growth
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Financial and Dividend is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Financial 15 Split 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 Financial 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 Financial 15 Split 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 Financial i.e., Financial and Dividend Growth go up and down completely randomly.
Pair Corralation between Financial and Dividend Growth
Assuming the 90 days trading horizon Financial 15 Split is expected to generate 1.73 times more return on investment than Dividend Growth. However, Financial is 1.73 times more volatile than Dividend Growth Split. It trades about 0.5 of its potential returns per unit of risk. Dividend Growth Split is currently generating about 0.21 per unit of risk. If you would invest 884.00 in Financial 15 Split on August 27, 2024 and sell it today you would earn a total of 139.00 from holding Financial 15 Split or generate 15.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Financial 15 Split vs. Dividend Growth Split
Performance |
Timeline |
Financial 15 Split |
Dividend Growth Split |
Financial and Dividend Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Financial and Dividend Growth
The main advantage of trading using opposite Financial and Dividend Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Financial 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.Financial vs. Dividend 15 Split | Financial vs. Dividend Growth Split | Financial vs. North American Financial | Financial vs. Life Banc Split |
Dividend Growth vs. Life Banc Split | Dividend Growth vs. North American Financial | Dividend Growth vs. Financial 15 Split | Dividend Growth vs. Dividend 15 Split |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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