Correlation Between Union Bank and Central Reinsurance
Can any of the company-specific risk be diversified away by investing in both Union Bank and Central Reinsurance 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 Central Reinsurance 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 Central Reinsurance Corp, you can compare the effects of market volatilities on Union Bank and Central Reinsurance 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 Central Reinsurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Union Bank and Central Reinsurance.
Diversification Opportunities for Union Bank and Central Reinsurance
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Union and Central is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Union Bank of and Central Reinsurance Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Central Reinsurance Corp 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 Central Reinsurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Central Reinsurance Corp has no effect on the direction of Union Bank i.e., Union Bank and Central Reinsurance go up and down completely randomly.
Pair Corralation between Union Bank and Central Reinsurance
Assuming the 90 days trading horizon Union Bank of is expected to under-perform the Central Reinsurance. But the stock apears to be less risky and, when comparing its historical volatility, Union Bank of is 1.13 times less risky than Central Reinsurance. The stock trades about -0.16 of its potential returns per unit of risk. The Central Reinsurance Corp is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 2,565 in Central Reinsurance Corp on September 21, 2024 and sell it today you would lose (5.00) from holding Central Reinsurance Corp or give up 0.19% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Union Bank of vs. Central Reinsurance Corp
Performance |
Timeline |
Union Bank |
Central Reinsurance Corp |
Union Bank and Central Reinsurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Union Bank and Central Reinsurance
The main advantage of trading using opposite Union Bank and Central Reinsurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Union Bank position performs unexpectedly, Central Reinsurance 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 Central Reinsurance will offset losses from the drop in Central Reinsurance's long position.Union Bank vs. Central Reinsurance Corp | Union Bank vs. Huaku Development Co | Union Bank vs. Fubon Financial Holding | Union Bank 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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