Correlation Between Union Insurance and Yuanta Financial
Can any of the company-specific risk be diversified away by investing in both Union Insurance and Yuanta Financial 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 Yuanta Financial 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 Yuanta Financial Holdings, you can compare the effects of market volatilities on Union Insurance and Yuanta Financial 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 Yuanta Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Union Insurance and Yuanta Financial.
Diversification Opportunities for Union Insurance and Yuanta Financial
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Union and Yuanta is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Union Insurance Co and Yuanta Financial Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yuanta Financial Holdings 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 Yuanta Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yuanta Financial Holdings has no effect on the direction of Union Insurance i.e., Union Insurance and Yuanta Financial go up and down completely randomly.
Pair Corralation between Union Insurance and Yuanta Financial
Assuming the 90 days trading horizon Union Insurance Co is expected to generate 0.86 times more return on investment than Yuanta Financial. However, Union Insurance Co is 1.16 times less risky than Yuanta Financial. It trades about 0.02 of its potential returns per unit of risk. Yuanta Financial Holdings is currently generating about 0.01 per unit of risk. If you would invest 3,150 in Union Insurance Co on December 30, 2024 and sell it today you would earn a total of 30.00 from holding Union Insurance Co or generate 0.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Union Insurance Co vs. Yuanta Financial Holdings
Performance |
Timeline |
Union Insurance |
Yuanta Financial Holdings |
Union Insurance and Yuanta Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Union Insurance and Yuanta Financial
The main advantage of trading using opposite Union Insurance and Yuanta Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Union Insurance position performs unexpectedly, Yuanta Financial 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 Yuanta Financial will offset losses from the drop in Yuanta Financial's long position.Union Insurance vs. Shinkong Insurance Co | Union Insurance vs. Central Reinsurance Corp | Union Insurance vs. Taiwan Fire Marine | Union Insurance vs. Taichung Commercial Bank |
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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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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