Correlation Between Union Auction and AIRA Capital
Can any of the company-specific risk be diversified away by investing in both Union Auction and AIRA Capital 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 Auction and AIRA Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Union Auction Public and AIRA Capital Public, you can compare the effects of market volatilities on Union Auction and AIRA Capital 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 Auction with a short position of AIRA Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Union Auction and AIRA Capital.
Diversification Opportunities for Union Auction and AIRA Capital
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Union and AIRA is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Union Auction Public and AIRA Capital Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AIRA Capital Public and Union Auction 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 Auction Public are associated (or correlated) with AIRA Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AIRA Capital Public has no effect on the direction of Union Auction i.e., Union Auction and AIRA Capital go up and down completely randomly.
Pair Corralation between Union Auction and AIRA Capital
Assuming the 90 days trading horizon Union Auction Public is expected to under-perform the AIRA Capital. But the stock apears to be less risky and, when comparing its historical volatility, Union Auction Public is 61.63 times less risky than AIRA Capital. The stock trades about -0.07 of its potential returns per unit of risk. The AIRA Capital Public is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 163.00 in AIRA Capital Public on September 13, 2024 and sell it today you would lose (44.00) from holding AIRA Capital Public or give up 26.99% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Union Auction Public vs. AIRA Capital Public
Performance |
Timeline |
Union Auction Public |
AIRA Capital Public |
Union Auction and AIRA Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Union Auction and AIRA Capital
The main advantage of trading using opposite Union Auction and AIRA Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Union Auction position performs unexpectedly, AIRA Capital 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 AIRA Capital will offset losses from the drop in AIRA Capital's long position.Union Auction vs. PTG Energy PCL | Union Auction vs. TQM PORATION | Union Auction vs. PTT Exploration and | Union Auction vs. PTT Public |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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