Correlation Between Apollo Global and Crown Asia
Can any of the company-specific risk be diversified away by investing in both Apollo Global and Crown Asia 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 Apollo Global and Crown Asia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Apollo Global Capital and Crown Asia Chemicals, you can compare the effects of market volatilities on Apollo Global and Crown Asia 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 Apollo Global with a short position of Crown Asia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Apollo Global and Crown Asia.
Diversification Opportunities for Apollo Global and Crown Asia
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Apollo and Crown is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Apollo Global Capital and Crown Asia Chemicals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Crown Asia Chemicals and Apollo Global 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 Apollo Global Capital are associated (or correlated) with Crown Asia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Crown Asia Chemicals has no effect on the direction of Apollo Global i.e., Apollo Global and Crown Asia go up and down completely randomly.
Pair Corralation between Apollo Global and Crown Asia
Assuming the 90 days trading horizon Apollo Global Capital is expected to under-perform the Crown Asia. In addition to that, Apollo Global is 1.42 times more volatile than Crown Asia Chemicals. It trades about -0.32 of its total potential returns per unit of risk. Crown Asia Chemicals is currently generating about 0.01 per unit of volatility. If you would invest 182.00 in Crown Asia Chemicals on September 13, 2024 and sell it today you would earn a total of 0.00 from holding Crown Asia Chemicals or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Apollo Global Capital vs. Crown Asia Chemicals
Performance |
Timeline |
Apollo Global Capital |
Crown Asia Chemicals |
Apollo Global and Crown Asia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Apollo Global and Crown Asia
The main advantage of trading using opposite Apollo Global and Crown Asia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Apollo Global position performs unexpectedly, Crown Asia 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 Crown Asia will offset losses from the drop in Crown Asia's long position.Apollo Global vs. Century Pacific Food | Apollo Global vs. Semirara Mining Corp | Apollo Global vs. STI Education Systems | Apollo Global vs. Alliance Select Foods |
Crown Asia vs. DL Industries | Crown Asia vs. Allhome Corp | Crown Asia vs. LFM Properties Corp | Crown Asia vs. Altus Property Ventures |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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