Correlation Between Union Bank and First Insurance
Can any of the company-specific risk be diversified away by investing in both Union Bank and First 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 Union Bank and First Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Union Bank of and First Insurance Co, you can compare the effects of market volatilities on Union Bank and First 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 Union Bank with a short position of First Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Union Bank and First Insurance.
Diversification Opportunities for Union Bank and First Insurance
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Union and First is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Union Bank of and First Insurance Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Insurance and Union Bank 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 Bank of are associated (or correlated) with First Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Insurance has no effect on the direction of Union Bank i.e., Union Bank and First Insurance go up and down completely randomly.
Pair Corralation between Union Bank and First Insurance
Assuming the 90 days trading horizon Union Bank is expected to generate 4.66 times less return on investment than First Insurance. But when comparing it to its historical volatility, Union Bank of is 1.25 times less risky than First Insurance. It trades about 0.09 of its potential returns per unit of risk. First Insurance Co is currently generating about 0.35 of returns per unit of risk over similar time horizon. If you would invest 2,300 in First Insurance Co on August 29, 2024 and sell it today you would earn a total of 185.00 from holding First Insurance Co or generate 8.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Union Bank of vs. First Insurance Co
Performance |
Timeline |
Union Bank |
First Insurance |
Union Bank and First Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Union Bank and First Insurance
The main advantage of trading using opposite Union Bank and First Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Union Bank position performs unexpectedly, First 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 First Insurance will offset losses from the drop in First Insurance's long position.Union Bank vs. Taiwan Business Bank | Union Bank vs. Chang Hwa Commercial | Union Bank vs. EnTie Commercial Bank | Union Bank vs. Bank of Kaohsiung |
First Insurance vs. EnTie Commercial Bank | First Insurance vs. Union Bank of | First Insurance vs. Bank of Kaohsiung | First Insurance vs. Taiwan Business 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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