Correlation Between Union Bank and Atlas Consolidated
Can any of the company-specific risk be diversified away by investing in both Union Bank and Atlas Consolidated 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 Atlas Consolidated 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 Atlas Consolidated Mining, you can compare the effects of market volatilities on Union Bank and Atlas Consolidated 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 Atlas Consolidated. Check out your portfolio center. Please also check ongoing floating volatility patterns of Union Bank and Atlas Consolidated.
Diversification Opportunities for Union Bank and Atlas Consolidated
-0.71 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Union and Atlas is -0.71. Overlapping area represents the amount of risk that can be diversified away by holding Union Bank of and Atlas Consolidated Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Atlas Consolidated Mining 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 Atlas Consolidated. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Atlas Consolidated Mining has no effect on the direction of Union Bank i.e., Union Bank and Atlas Consolidated go up and down completely randomly.
Pair Corralation between Union Bank and Atlas Consolidated
Assuming the 90 days trading horizon Union Bank of is expected to under-perform the Atlas Consolidated. But the stock apears to be less risky and, when comparing its historical volatility, Union Bank of is 1.76 times less risky than Atlas Consolidated. The stock trades about -0.02 of its potential returns per unit of risk. The Atlas Consolidated Mining is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 452.00 in Atlas Consolidated Mining on April 20, 2025 and sell it today you would lose (2.00) from holding Atlas Consolidated Mining or give up 0.44% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Union Bank of vs. Atlas Consolidated Mining
Performance |
Timeline |
Union Bank |
Atlas Consolidated Mining |
Union Bank and Atlas Consolidated Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Union Bank and Atlas Consolidated
The main advantage of trading using opposite Union Bank and Atlas Consolidated positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Union Bank position performs unexpectedly, Atlas Consolidated 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 Atlas Consolidated will offset losses from the drop in Atlas Consolidated's long position.Union Bank vs. Converge Information Communications | Union Bank vs. Apex Mining Co | Union Bank vs. Transpacific Broadband Group | Union Bank vs. Philex Mining Corp |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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