Correlation Between Wool Industry and Public Power
Can any of the company-specific risk be diversified away by investing in both Wool Industry and Public Power 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 Wool Industry and Public Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wool Industry Tria and Public Power, you can compare the effects of market volatilities on Wool Industry and Public Power 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 Wool Industry with a short position of Public Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wool Industry and Public Power.
Diversification Opportunities for Wool Industry and Public Power
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Wool and Public is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Wool Industry Tria and Public Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Public Power and Wool Industry 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 Wool Industry Tria are associated (or correlated) with Public Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Public Power has no effect on the direction of Wool Industry i.e., Wool Industry and Public Power go up and down completely randomly.
Pair Corralation between Wool Industry and Public Power
Assuming the 90 days trading horizon Wool Industry Tria is expected to generate 4.5 times more return on investment than Public Power. However, Wool Industry is 4.5 times more volatile than Public Power. It trades about 0.15 of its potential returns per unit of risk. Public Power is currently generating about 0.12 per unit of risk. If you would invest 500.00 in Wool Industry Tria on April 23, 2025 and sell it today you would earn a total of 265.00 from holding Wool Industry Tria or generate 53.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.41% |
Values | Daily Returns |
Wool Industry Tria vs. Public Power
Performance |
Timeline |
Wool Industry Tria |
Public Power |
Wool Industry and Public Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wool Industry and Public Power
The main advantage of trading using opposite Wool Industry and Public Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wool Industry position performs unexpectedly, Public Power 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 Public Power will offset losses from the drop in Public Power's long position.Wool Industry vs. J B Ladenis | Wool Industry vs. EL D Mouzakis | Wool Industry vs. Lanakam SA | Wool Industry vs. Nafpaktos Textile Industry |
Public Power vs. Mytilineos SA | Public Power vs. Greek Organization of | Public Power vs. Hellenic Telecommunications Organization | Public Power vs. Alpha Services and |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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