Correlation Between Star Alliance and Angkor Resources
Can any of the company-specific risk be diversified away by investing in both Star Alliance and Angkor Resources 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 Star Alliance and Angkor Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Star Alliance International and Angkor Resources Corp, you can compare the effects of market volatilities on Star Alliance and Angkor Resources 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 Star Alliance with a short position of Angkor Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Star Alliance and Angkor Resources.
Diversification Opportunities for Star Alliance and Angkor Resources
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Star and Angkor is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Star Alliance International and Angkor Resources Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Angkor Resources Corp and Star Alliance 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 Star Alliance International are associated (or correlated) with Angkor Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Angkor Resources Corp has no effect on the direction of Star Alliance i.e., Star Alliance and Angkor Resources go up and down completely randomly.
Pair Corralation between Star Alliance and Angkor Resources
Given the investment horizon of 90 days Star Alliance International is expected to generate 3.54 times more return on investment than Angkor Resources. However, Star Alliance is 3.54 times more volatile than Angkor Resources Corp. It trades about 0.02 of its potential returns per unit of risk. Angkor Resources Corp is currently generating about -0.11 per unit of risk. If you would invest 0.08 in Star Alliance International on October 8, 2024 and sell it today you would lose (0.01) from holding Star Alliance International or give up 12.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Star Alliance International vs. Angkor Resources Corp
Performance |
Timeline |
Star Alliance Intern |
Angkor Resources Corp |
Star Alliance and Angkor Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Star Alliance and Angkor Resources
The main advantage of trading using opposite Star Alliance and Angkor Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Star Alliance position performs unexpectedly, Angkor Resources 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 Angkor Resources will offset losses from the drop in Angkor Resources' long position.Star Alliance vs. Newmont Goldcorp Corp | Star Alliance vs. Zijin Mining Group | Star Alliance vs. Agnico Eagle Mines | Star Alliance vs. Barrick Gold 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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