Correlation Between ANT and COMPASS PATHW
Can any of the company-specific risk be diversified away by investing in both ANT and COMPASS PATHW 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 ANT and COMPASS PATHW into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ANT and COMPASS PATHW SPADR, you can compare the effects of market volatilities on ANT and COMPASS PATHW 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 ANT with a short position of COMPASS PATHW. Check out your portfolio center. Please also check ongoing floating volatility patterns of ANT and COMPASS PATHW.
Diversification Opportunities for ANT and COMPASS PATHW
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between ANT and COMPASS is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding ANT and COMPASS PATHW SPADR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on COMPASS PATHW SPADR and ANT 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 ANT are associated (or correlated) with COMPASS PATHW. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of COMPASS PATHW SPADR has no effect on the direction of ANT i.e., ANT and COMPASS PATHW go up and down completely randomly.
Pair Corralation between ANT and COMPASS PATHW
Assuming the 90 days trading horizon ANT is expected to generate 2.61 times more return on investment than COMPASS PATHW. However, ANT is 2.61 times more volatile than COMPASS PATHW SPADR. It trades about 0.08 of its potential returns per unit of risk. COMPASS PATHW SPADR is currently generating about 0.02 per unit of risk. If you would invest 145.00 in ANT on October 10, 2024 and sell it today you would earn a total of 2.00 from holding ANT or generate 1.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 81.82% |
Values | Daily Returns |
ANT vs. COMPASS PATHW SPADR
Performance |
Timeline |
ANT |
COMPASS PATHW SPADR |
ANT and COMPASS PATHW Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ANT and COMPASS PATHW
The main advantage of trading using opposite ANT and COMPASS PATHW positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ANT position performs unexpectedly, COMPASS PATHW 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 COMPASS PATHW will offset losses from the drop in COMPASS PATHW's long position.The idea behind ANT and COMPASS PATHW SPADR pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.COMPASS PATHW vs. BC IRON | COMPASS PATHW vs. EIDESVIK OFFSHORE NK | COMPASS PATHW vs. Xiwang Special Steel | COMPASS PATHW vs. Solstad Offshore ASA |
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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