Correlation Between Union Insurance and Power Wind
Can any of the company-specific risk be diversified away by investing in both Union Insurance and Power Wind 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 Union Insurance and Power Wind into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Union Insurance Co and Power Wind Health, you can compare the effects of market volatilities on Union Insurance and Power Wind 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 Union Insurance with a short position of Power Wind. Check out your portfolio center. Please also check ongoing floating volatility patterns of Union Insurance and Power Wind.
Diversification Opportunities for Union Insurance and Power Wind
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Union and Power is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Union Insurance Co and Power Wind Health in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Power Wind Health and Union Insurance 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 Union Insurance Co are associated (or correlated) with Power Wind. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Power Wind Health has no effect on the direction of Union Insurance i.e., Union Insurance and Power Wind go up and down completely randomly.
Pair Corralation between Union Insurance and Power Wind
Assuming the 90 days trading horizon Union Insurance Co is expected to generate 0.75 times more return on investment than Power Wind. However, Union Insurance Co is 1.33 times less risky than Power Wind. It trades about -0.01 of its potential returns per unit of risk. Power Wind Health is currently generating about -0.23 per unit of risk. If you would invest 3,225 in Union Insurance Co on September 14, 2024 and sell it today you would lose (35.00) from holding Union Insurance Co or give up 1.09% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Union Insurance Co vs. Power Wind Health
Performance |
Timeline |
Union Insurance |
Power Wind Health |
Union Insurance and Power Wind Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Union Insurance and Power Wind
The main advantage of trading using opposite Union Insurance and Power Wind positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Union Insurance position performs unexpectedly, Power Wind 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 Power Wind will offset losses from the drop in Power Wind's long position.Union Insurance vs. Central Reinsurance Corp | Union Insurance vs. Huaku Development Co | Union Insurance vs. Fubon Financial Holding | Union Insurance vs. Chailease Holding Co |
Power Wind vs. Feng Tay Enterprises | Power Wind vs. Pou Chen Corp | Power Wind vs. Taiwan Paiho | Power Wind vs. Ruentex Development Co |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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