Correlation Between Credit Clear and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Credit Clear 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 Credit Clear and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Credit Clear and Dow Jones Industrial, you can compare the effects of market volatilities on Credit Clear 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 Credit Clear with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Credit Clear and Dow Jones.
Diversification Opportunities for Credit Clear and Dow Jones
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Credit and Dow is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Credit Clear 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 Credit Clear 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 Credit Clear 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 Credit Clear i.e., Credit Clear and Dow Jones go up and down completely randomly.
Pair Corralation between Credit Clear and Dow Jones
Assuming the 90 days trading horizon Credit Clear is expected to generate 3.92 times more return on investment than Dow Jones. However, Credit Clear is 3.92 times more volatile than Dow Jones Industrial. It trades about 0.1 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.11 per unit of risk. If you would invest 28.00 in Credit Clear on September 16, 2024 and sell it today you would earn a total of 5.00 from holding Credit Clear or generate 17.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.48% |
Values | Daily Returns |
Credit Clear vs. Dow Jones Industrial
Performance |
Timeline |
Credit Clear and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Credit Clear
Pair trading matchups for Credit Clear
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Credit Clear and Dow Jones
The main advantage of trading using opposite Credit Clear and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Credit Clear 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.Credit Clear vs. Aneka Tambang Tbk | Credit Clear vs. BHP Group Limited | Credit Clear vs. Commonwealth Bank | Credit Clear vs. Commonwealth Bank of |
Dow Jones vs. Ironveld Plc | Dow Jones vs. CECO Environmental Corp | Dow Jones vs. Mid Atlantic Home Health | Dow Jones vs. United Homes Group |
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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