Correlation Between Carindale Property and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Carindale Property and Dow Jones 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 Carindale Property and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Carindale Property Trust and Dow Jones Industrial, you can compare the effects of market volatilities on Carindale Property and Dow Jones 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 Carindale Property with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Carindale Property and Dow Jones.
Diversification Opportunities for Carindale Property and Dow Jones
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Carindale and Dow is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Carindale Property Trust and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Carindale Property 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 Carindale Property Trust are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Carindale Property i.e., Carindale Property and Dow Jones go up and down completely randomly.
Pair Corralation between Carindale Property and Dow Jones
Assuming the 90 days trading horizon Carindale Property Trust is expected to generate 1.45 times more return on investment than Dow Jones. However, Carindale Property is 1.45 times more volatile than Dow Jones Industrial. It trades about 0.07 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.05 per unit of risk. If you would invest 458.00 in Carindale Property Trust on September 28, 2024 and sell it today you would earn a total of 21.00 from holding Carindale Property Trust or generate 4.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Carindale Property Trust vs. Dow Jones Industrial
Performance |
Timeline |
Carindale Property and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Carindale Property Trust
Pair trading matchups for Carindale Property
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Carindale Property and Dow Jones
The main advantage of trading using opposite Carindale Property and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Carindale Property position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Carindale Property vs. Scentre Group | Carindale Property vs. Vicinity Centres Re | Carindale Property vs. Charter Hall Retail | Carindale Property vs. Cromwell Property Group |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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