Correlation Between Plaza Retail and American Lithium
Can any of the company-specific risk be diversified away by investing in both Plaza Retail and American Lithium 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 Plaza Retail and American Lithium into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Plaza Retail REIT and American Lithium Corp, you can compare the effects of market volatilities on Plaza Retail and American Lithium 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 Plaza Retail with a short position of American Lithium. Check out your portfolio center. Please also check ongoing floating volatility patterns of Plaza Retail and American Lithium.
Diversification Opportunities for Plaza Retail and American Lithium
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Plaza and American is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Plaza Retail REIT and American Lithium Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Lithium Corp and Plaza Retail 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 Plaza Retail REIT are associated (or correlated) with American Lithium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Lithium Corp has no effect on the direction of Plaza Retail i.e., Plaza Retail and American Lithium go up and down completely randomly.
Pair Corralation between Plaza Retail and American Lithium
Assuming the 90 days trading horizon Plaza Retail is expected to generate 483.0 times less return on investment than American Lithium. But when comparing it to its historical volatility, Plaza Retail REIT is 11.31 times less risky than American Lithium. It trades about 0.0 of its potential returns per unit of risk. American Lithium Corp is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 52.00 in American Lithium Corp on September 4, 2024 and sell it today you would earn a total of 41.00 from holding American Lithium Corp or generate 78.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Plaza Retail REIT vs. American Lithium Corp
Performance |
Timeline |
Plaza Retail REIT |
American Lithium Corp |
Plaza Retail and American Lithium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Plaza Retail and American Lithium
The main advantage of trading using opposite Plaza Retail and American Lithium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Plaza Retail position performs unexpectedly, American Lithium 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 American Lithium will offset losses from the drop in American Lithium's long position.Plaza Retail vs. Slate Office REIT | Plaza Retail vs. Automotive Properties Real | Plaza Retail vs. BTB Real Estate | Plaza Retail vs. CT Real Estate |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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