Correlation Between Retail Estates and Vicinity Centres
Can any of the company-specific risk be diversified away by investing in both Retail Estates and Vicinity Centres 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 Retail Estates and Vicinity Centres into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Retail Estates NV and Vicinity Centres, you can compare the effects of market volatilities on Retail Estates and Vicinity Centres 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 Retail Estates with a short position of Vicinity Centres. Check out your portfolio center. Please also check ongoing floating volatility patterns of Retail Estates and Vicinity Centres.
Diversification Opportunities for Retail Estates and Vicinity Centres
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Retail and Vicinity is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Retail Estates NV and Vicinity Centres in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vicinity Centres and Retail Estates 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 Retail Estates NV are associated (or correlated) with Vicinity Centres. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vicinity Centres has no effect on the direction of Retail Estates i.e., Retail Estates and Vicinity Centres go up and down completely randomly.
Pair Corralation between Retail Estates and Vicinity Centres
Assuming the 90 days horizon Retail Estates NV is expected to under-perform the Vicinity Centres. But the stock apears to be less risky and, when comparing its historical volatility, Retail Estates NV is 1.52 times less risky than Vicinity Centres. The stock trades about -0.2 of its potential returns per unit of risk. The Vicinity Centres is currently generating about -0.11 of returns per unit of risk over similar time horizon. If you would invest 122.00 in Vicinity Centres on September 12, 2024 and sell it today you would lose (4.00) from holding Vicinity Centres or give up 3.28% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Retail Estates NV vs. Vicinity Centres
Performance |
Timeline |
Retail Estates NV |
Vicinity Centres |
Retail Estates and Vicinity Centres Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Retail Estates and Vicinity Centres
The main advantage of trading using opposite Retail Estates and Vicinity Centres positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Retail Estates position performs unexpectedly, Vicinity Centres 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 Vicinity Centres will offset losses from the drop in Vicinity Centres' long position.Retail Estates vs. Vicinity Centres | Retail Estates vs. Superior Plus Corp | Retail Estates vs. NMI Holdings | Retail Estates vs. SIVERS SEMICONDUCTORS AB |
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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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
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