Correlation Between Heidelberg Pharma and CITY OFFICE
Can any of the company-specific risk be diversified away by investing in both Heidelberg Pharma and CITY 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 Heidelberg Pharma and CITY OFFICE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Heidelberg Pharma AG and CITY OFFICE REIT, you can compare the effects of market volatilities on Heidelberg Pharma and CITY 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 Heidelberg Pharma with a short position of CITY OFFICE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Heidelberg Pharma and CITY OFFICE.
Diversification Opportunities for Heidelberg Pharma and CITY OFFICE
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between Heidelberg and CITY is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Heidelberg Pharma AG and CITY OFFICE REIT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CITY OFFICE REIT and Heidelberg Pharma 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 Heidelberg Pharma AG are associated (or correlated) with CITY OFFICE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CITY OFFICE REIT has no effect on the direction of Heidelberg Pharma i.e., Heidelberg Pharma and CITY OFFICE go up and down completely randomly.
Pair Corralation between Heidelberg Pharma and CITY OFFICE
Assuming the 90 days trading horizon Heidelberg Pharma AG is expected to under-perform the CITY OFFICE. But the stock apears to be less risky and, when comparing its historical volatility, Heidelberg Pharma AG is 1.36 times less risky than CITY OFFICE. The stock trades about -0.05 of its potential returns per unit of risk. The CITY OFFICE REIT is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 716.00 in CITY OFFICE REIT on October 11, 2024 and sell it today you would lose (196.00) from holding CITY OFFICE REIT or give up 27.37% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 99.8% |
Values | Daily Returns |
Heidelberg Pharma AG vs. CITY OFFICE REIT
Performance |
Timeline |
Heidelberg Pharma |
CITY OFFICE REIT |
Heidelberg Pharma and CITY OFFICE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Heidelberg Pharma and CITY OFFICE
The main advantage of trading using opposite Heidelberg Pharma and CITY OFFICE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Heidelberg Pharma position performs unexpectedly, CITY 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 CITY OFFICE will offset losses from the drop in CITY OFFICE's long position.Heidelberg Pharma vs. CITY OFFICE REIT | Heidelberg Pharma vs. Neinor Homes SA | Heidelberg Pharma vs. Haier Smart Home | Heidelberg Pharma vs. alstria office REIT AG |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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