Correlation Between British Land and VICI Properties
Can any of the company-specific risk be diversified away by investing in both British Land and VICI Properties 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 British Land and VICI Properties into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between British Land and VICI Properties, you can compare the effects of market volatilities on British Land and VICI Properties 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 British Land with a short position of VICI Properties. Check out your portfolio center. Please also check ongoing floating volatility patterns of British Land and VICI Properties.
Diversification Opportunities for British Land and VICI Properties
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between British and VICI is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding British Land and VICI Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on VICI Properties and British Land 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 British Land are associated (or correlated) with VICI Properties. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of VICI Properties has no effect on the direction of British Land i.e., British Land and VICI Properties go up and down completely randomly.
Pair Corralation between British Land and VICI Properties
Assuming the 90 days horizon British Land is expected to under-perform the VICI Properties. In addition to that, British Land is 1.5 times more volatile than VICI Properties. It trades about -0.38 of its total potential returns per unit of risk. VICI Properties is currently generating about -0.07 per unit of volatility. If you would invest 3,281 in VICI Properties on August 25, 2024 and sell it today you would lose (58.00) from holding VICI Properties or give up 1.77% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
British Land vs. VICI Properties
Performance |
| Timeline |
| British Land |
| VICI Properties |
British Land and VICI Properties Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with British Land and VICI Properties
The main advantage of trading using opposite British Land and VICI Properties positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if British Land position performs unexpectedly, VICI Properties 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 VICI Properties will offset losses from the drop in VICI Properties' long position.| British Land vs. Global Net Lease, | British Land vs. VICI Properties | British Land vs. British Land | British Land vs. Highlands REIT |
| VICI Properties vs. Broadstone Net Lease | VICI Properties vs. Armada Hflr Pr | VICI Properties vs. Brightspire Capital | VICI Properties vs. Safehold |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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