Correlation Between Cboe UK and Alstria Office

Can any of the company-specific risk be diversified away by investing in both Cboe UK and Alstria Office 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 Cboe UK and Alstria Office into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Cboe UK Consumer and alstria office REIT AG, you can compare the effects of market volatilities on Cboe UK and Alstria Office 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 Cboe UK with a short position of Alstria Office. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cboe UK and Alstria Office.

Diversification Opportunities for Cboe UK and Alstria Office

0.89

Correlation Coefficient

Cboe UK  Alstria Office

Very poor diversification

The 3 months correlation between Cboe and Alstria is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Cboe UK Consumer and alstria office REIT AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on alstria office REIT and Cboe UK 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 Cboe UK Consumer are associated (or correlated) with Alstria Office. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of alstria office REIT has no effect on the direction of Cboe UK i.e., Cboe UK and Alstria Office go up and down completely randomly.

Pair Corralation between Cboe UK and Alstria Office

Assuming the 90 days trading horizon Cboe UK is expected to generate 3.3 times less return on investment than Alstria Office. But when comparing it to its historical volatility, Cboe UK Consumer is 1.86 times less risky than Alstria Office. It trades about 0.14 of its potential returns per unit of risk. alstria office REIT AG is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest  584.00  in alstria office REIT AG on September 25, 2024 and sell it today you would earn a total of  183.00  from holding alstria office REIT AG or generate 31.34% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	98.46%
Values	Daily Returns

Cboe UK Consumer  vs.  alstria office REIT AG

Pair Trading with Cboe UK and Alstria Office

The main advantage of trading using opposite Cboe UK and Alstria Office positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cboe UK position performs unexpectedly, Alstria Office 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 Alstria Office will offset losses from the drop in Alstria Office's long position.

The idea behind Cboe UK Consumer and alstria office REIT AG 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.

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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.