Correlation Between CENTURIA OFFICE and Bet-at-home
Can any of the company-specific risk be diversified away by investing in both CENTURIA OFFICE and Bet-at-home 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 CENTURIA OFFICE and Bet-at-home into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CENTURIA OFFICE REIT and bet at home AG, you can compare the effects of market volatilities on CENTURIA OFFICE and Bet-at-home 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 CENTURIA OFFICE with a short position of Bet-at-home. Check out your portfolio center. Please also check ongoing floating volatility patterns of CENTURIA OFFICE and Bet-at-home.
Diversification Opportunities for CENTURIA OFFICE and Bet-at-home
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CENTURIA and Bet-at-home is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding CENTURIA OFFICE REIT and bet at home AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on bet at home and CENTURIA OFFICE 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 CENTURIA OFFICE REIT are associated (or correlated) with Bet-at-home. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of bet at home has no effect on the direction of CENTURIA OFFICE i.e., CENTURIA OFFICE and Bet-at-home go up and down completely randomly.
Pair Corralation between CENTURIA OFFICE and Bet-at-home
Assuming the 90 days horizon CENTURIA OFFICE REIT is expected to under-perform the Bet-at-home. But the stock apears to be less risky and, when comparing its historical volatility, CENTURIA OFFICE REIT is 2.21 times less risky than Bet-at-home. The stock trades about -0.02 of its potential returns per unit of risk. The bet at home AG is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 307.00 in bet at home AG on September 24, 2024 and sell it today you would lose (57.00) from holding bet at home AG or give up 18.57% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CENTURIA OFFICE REIT vs. bet at home AG
Performance |
Timeline |
CENTURIA OFFICE REIT |
bet at home |
CENTURIA OFFICE and Bet-at-home Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CENTURIA OFFICE and Bet-at-home
The main advantage of trading using opposite CENTURIA OFFICE and Bet-at-home positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CENTURIA OFFICE position performs unexpectedly, Bet-at-home 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 Bet-at-home will offset losses from the drop in Bet-at-home's long position.CENTURIA OFFICE vs. Apple Inc | CENTURIA OFFICE vs. Apple Inc | CENTURIA OFFICE vs. Apple Inc | CENTURIA OFFICE vs. Apple Inc |
Bet-at-home vs. Apple Inc | Bet-at-home vs. Apple Inc | Bet-at-home vs. Apple Inc | Bet-at-home vs. Microsoft |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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