Correlation Between Osisko Metals and China Eastern
Can any of the company-specific risk be diversified away by investing in both Osisko Metals and China Eastern 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 Osisko Metals and China Eastern into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Osisko Metals and China Eastern Airlines, you can compare the effects of market volatilities on Osisko Metals and China Eastern 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 Osisko Metals with a short position of China Eastern. Check out your portfolio center. Please also check ongoing floating volatility patterns of Osisko Metals and China Eastern.
Diversification Opportunities for Osisko Metals and China Eastern
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Osisko and China is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Osisko Metals and China Eastern Airlines in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Eastern Airlines and Osisko Metals 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 Osisko Metals are associated (or correlated) with China Eastern. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Eastern Airlines has no effect on the direction of Osisko Metals i.e., Osisko Metals and China Eastern go up and down completely randomly.
Pair Corralation between Osisko Metals and China Eastern
Assuming the 90 days trading horizon Osisko Metals is expected to generate 1.36 times more return on investment than China Eastern. However, Osisko Metals is 1.36 times more volatile than China Eastern Airlines. It trades about 0.49 of its potential returns per unit of risk. China Eastern Airlines is currently generating about -0.13 per unit of risk. If you would invest 17.00 in Osisko Metals on October 10, 2024 and sell it today you would earn a total of 6.00 from holding Osisko Metals or generate 35.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Osisko Metals vs. China Eastern Airlines
Performance |
Timeline |
Osisko Metals |
China Eastern Airlines |
Osisko Metals and China Eastern Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Osisko Metals and China Eastern
The main advantage of trading using opposite Osisko Metals and China Eastern positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Osisko Metals position performs unexpectedly, China Eastern 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 China Eastern will offset losses from the drop in China Eastern's long position.Osisko Metals vs. Plastic Omnium | Osisko Metals vs. Materialise NV | Osisko Metals vs. COSTCO WHOLESALE CDR | Osisko Metals vs. RETAIL FOOD GROUP |
China Eastern vs. NAGOYA RAILROAD | China Eastern vs. Gaztransport Technigaz SA | China Eastern vs. TITANIUM TRANSPORTGROUP | China Eastern vs. SALESFORCE INC CDR |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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