Correlation Between Power Wind and Union Insurance
Can any of the company-specific risk be diversified away by investing in both Power Wind and Union Insurance 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 Union Insurance 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 Union Insurance Co, you can compare the effects of market volatilities on Power Wind and Union Insurance 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 Union Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Power Wind and Union Insurance.
Diversification Opportunities for Power Wind and Union Insurance
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between Power and Union is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Power Wind Health and Union Insurance Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Union Insurance 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 Union Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Union Insurance has no effect on the direction of Power Wind i.e., Power Wind and Union Insurance go up and down completely randomly.
Pair Corralation between Power Wind and Union Insurance
Assuming the 90 days trading horizon Power Wind Health is expected to generate 2.23 times more return on investment than Union Insurance. However, Power Wind is 2.23 times more volatile than Union Insurance Co. It trades about 0.13 of its potential returns per unit of risk. Union Insurance Co is currently generating about 0.02 per unit of risk. If you would invest 11,150 in Power Wind Health on December 29, 2024 and sell it today you would earn a total of 1,650 from holding Power Wind Health or generate 14.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Power Wind Health vs. Union Insurance Co
Performance |
Timeline |
Power Wind Health |
Union Insurance |
Power Wind and Union Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Power Wind and Union Insurance
The main advantage of trading using opposite Power Wind and Union Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Wind position performs unexpectedly, Union Insurance 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 Union Insurance will offset losses from the drop in Union Insurance'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 |
Union Insurance vs. Shinkong Insurance Co | Union Insurance vs. Central Reinsurance Corp | Union Insurance vs. Taiwan Fire Marine | Union Insurance vs. Taichung Commercial Bank |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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