Correlation Between CI GAMES and Ur Energy
Can any of the company-specific risk be diversified away by investing in both CI GAMES and Ur Energy 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 CI GAMES and Ur Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CI GAMES SA and Ur Energy, you can compare the effects of market volatilities on CI GAMES and Ur Energy 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 CI GAMES with a short position of Ur Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of CI GAMES and Ur Energy.
Diversification Opportunities for CI GAMES and Ur Energy
Good diversification
The 3 months correlation between CI7 and U9T is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding CI GAMES SA and Ur Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ur Energy and CI GAMES 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 CI GAMES SA are associated (or correlated) with Ur Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ur Energy has no effect on the direction of CI GAMES i.e., CI GAMES and Ur Energy go up and down completely randomly.
Pair Corralation between CI GAMES and Ur Energy
Assuming the 90 days horizon CI GAMES SA is expected to under-perform the Ur Energy. But the stock apears to be less risky and, when comparing its historical volatility, CI GAMES SA is 1.25 times less risky than Ur Energy. The stock trades about -0.06 of its potential returns per unit of risk. The Ur Energy is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 128.00 in Ur Energy on September 29, 2024 and sell it today you would lose (19.00) from holding Ur Energy or give up 14.84% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
CI GAMES SA vs. Ur Energy
Performance |
Timeline |
CI GAMES SA |
Ur Energy |
CI GAMES and Ur Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CI GAMES and Ur Energy
The main advantage of trading using opposite CI GAMES and Ur Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CI GAMES position performs unexpectedly, Ur Energy 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 Ur Energy will offset losses from the drop in Ur Energy's long position.The idea behind CI GAMES SA and Ur Energy 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.Ur Energy vs. Caltagirone SpA | Ur Energy vs. COSMOSTEEL HLDGS | Ur Energy vs. The Trade Desk | Ur Energy vs. QURATE RETAIL INC |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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