Correlation Between Power Wind and Wholetech System
Can any of the company-specific risk be diversified away by investing in both Power Wind and Wholetech System 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 Wind and Wholetech System into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Power Wind Health and Wholetech System Hitech, you can compare the effects of market volatilities on Power Wind and Wholetech System 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 Wind with a short position of Wholetech System. Check out your portfolio center. Please also check ongoing floating volatility patterns of Power Wind and Wholetech System.
Diversification Opportunities for Power Wind and Wholetech System
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Power and Wholetech is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Power Wind Health and Wholetech System Hitech in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wholetech System Hitech and Power Wind 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 Wind Health are associated (or correlated) with Wholetech System. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wholetech System Hitech has no effect on the direction of Power Wind i.e., Power Wind and Wholetech System go up and down completely randomly.
Pair Corralation between Power Wind and Wholetech System
Assuming the 90 days trading horizon Power Wind Health is expected to under-perform the Wholetech System. But the stock apears to be less risky and, when comparing its historical volatility, Power Wind Health is 1.42 times less risky than Wholetech System. The stock trades about 0.0 of its potential returns per unit of risk. The Wholetech System Hitech is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 4,032 in Wholetech System Hitech on October 11, 2024 and sell it today you would earn a total of 7,568 from holding Wholetech System Hitech or generate 187.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Power Wind Health vs. Wholetech System Hitech
Performance |
Timeline |
Power Wind Health |
Wholetech System Hitech |
Power Wind and Wholetech System Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Power Wind and Wholetech System
The main advantage of trading using opposite Power Wind and Wholetech System positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Wind position performs unexpectedly, Wholetech System 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 Wholetech System will offset losses from the drop in Wholetech System's long position.Power Wind vs. Sunny Friend Environmental | Power Wind vs. Cleanaway Co | Power Wind vs. Charoen Pokphand Enterprise | Power Wind vs. TTET Union Corp |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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