Correlation Between Power Assets and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Power Assets 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 Power Assets and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Power Assets Holdings and Dow Jones Industrial, you can compare the effects of market volatilities on Power Assets 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 Power Assets with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Power Assets and Dow Jones.
Diversification Opportunities for Power Assets and Dow Jones
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Power and Dow is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Power Assets Holdings 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 Power Assets 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 Power Assets Holdings 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 Power Assets i.e., Power Assets and Dow Jones go up and down completely randomly.
Pair Corralation between Power Assets and Dow Jones
Assuming the 90 days horizon Power Assets Holdings is expected to generate 5.17 times more return on investment than Dow Jones. However, Power Assets is 5.17 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 0.08 per unit of risk. If you would invest 147.00 in Power Assets Holdings on September 27, 2024 and sell it today you would earn a total of 498.00 from holding Power Assets Holdings or generate 338.78% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 98.55% |
| Values | Daily Returns |
Power Assets Holdings vs. Dow Jones Industrial
Performance |
| Timeline |
Power Assets and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
Power Assets Holdings
Pair trading matchups for Power Assets
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Power Assets and Dow Jones
The main advantage of trading using opposite Power Assets and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Assets 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.| Power Assets vs. Orsted AS | Power Assets vs. EDP Renovveis SA | Power Assets vs. CGN Power Co | Power Assets vs. Huaneng Power International |
| Dow Jones vs. 51Talk Online Education | Dow Jones vs. World Houseware Limited | Dow Jones vs. Beauty Health Co | Dow Jones vs. Acme United |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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