Correlation Between Union Insurance and Chernan Metal
Can any of the company-specific risk be diversified away by investing in both Union Insurance and Chernan Metal 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 Chernan Metal 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 Chernan Metal Industrial, you can compare the effects of market volatilities on Union Insurance and Chernan Metal 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 Chernan Metal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Union Insurance and Chernan Metal.
Diversification Opportunities for Union Insurance and Chernan Metal
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Union and Chernan is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Union Insurance Co and Chernan Metal Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chernan Metal Industrial 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 Chernan Metal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chernan Metal Industrial has no effect on the direction of Union Insurance i.e., Union Insurance and Chernan Metal go up and down completely randomly.
Pair Corralation between Union Insurance and Chernan Metal
Assuming the 90 days trading horizon Union Insurance Co is expected to generate 0.51 times more return on investment than Chernan Metal. However, Union Insurance Co is 1.97 times less risky than Chernan Metal. It trades about -0.02 of its potential returns per unit of risk. Chernan Metal Industrial is currently generating about -0.09 per unit of risk. If you would invest 3,225 in Union Insurance Co on September 15, 2024 and sell it today you would lose (55.00) from holding Union Insurance Co or give up 1.71% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Union Insurance Co vs. Chernan Metal Industrial
Performance |
Timeline |
Union Insurance |
Chernan Metal Industrial |
Union Insurance and Chernan Metal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Union Insurance and Chernan Metal
The main advantage of trading using opposite Union Insurance and Chernan Metal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Union Insurance position performs unexpectedly, Chernan Metal 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 Chernan Metal will offset losses from the drop in Chernan Metal'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 |
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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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