Correlation Between Plaza Retail and Helios Fairfax
Can any of the company-specific risk be diversified away by investing in both Plaza Retail and Helios Fairfax 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 Helios Fairfax 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 Helios Fairfax Partners, you can compare the effects of market volatilities on Plaza Retail and Helios Fairfax 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 Helios Fairfax. Check out your portfolio center. Please also check ongoing floating volatility patterns of Plaza Retail and Helios Fairfax.
Diversification Opportunities for Plaza Retail and Helios Fairfax
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Plaza and Helios is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Plaza Retail REIT and Helios Fairfax Partners in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Helios Fairfax Partners 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 Helios Fairfax. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Helios Fairfax Partners has no effect on the direction of Plaza Retail i.e., Plaza Retail and Helios Fairfax go up and down completely randomly.
Pair Corralation between Plaza Retail and Helios Fairfax
Assuming the 90 days trading horizon Plaza Retail REIT is expected to under-perform the Helios Fairfax. But the stock apears to be less risky and, when comparing its historical volatility, Plaza Retail REIT is 3.87 times less risky than Helios Fairfax. The stock trades about -0.03 of its potential returns per unit of risk. The Helios Fairfax Partners is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 301.00 in Helios Fairfax Partners on October 24, 2024 and sell it today you would lose (62.00) from holding Helios Fairfax Partners or give up 20.6% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.8% |
Values | Daily Returns |
Plaza Retail REIT vs. Helios Fairfax Partners
Performance |
Timeline |
Plaza Retail REIT |
Helios Fairfax Partners |
Plaza Retail and Helios Fairfax Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Plaza Retail and Helios Fairfax
The main advantage of trading using opposite Plaza Retail and Helios Fairfax positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Plaza Retail position performs unexpectedly, Helios Fairfax 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 Helios Fairfax will offset losses from the drop in Helios Fairfax's long position.Plaza Retail vs. Automotive Properties Real | Plaza Retail vs. BTB Real Estate | Plaza Retail vs. CT Real Estate | Plaza Retail vs. Choice Properties Real |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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