Correlation Between CHINA TONTINE and CITY OFFICE
Can any of the company-specific risk be diversified away by investing in both CHINA TONTINE 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 CHINA TONTINE and CITY OFFICE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CHINA TONTINE WINES and CITY OFFICE REIT, you can compare the effects of market volatilities on CHINA TONTINE 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 CHINA TONTINE with a short position of CITY OFFICE. Check out your portfolio center. Please also check ongoing floating volatility patterns of CHINA TONTINE and CITY OFFICE.
Diversification Opportunities for CHINA TONTINE and CITY OFFICE
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between CHINA and CITY is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding CHINA TONTINE WINES 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 CHINA TONTINE 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 CHINA TONTINE WINES 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 CHINA TONTINE i.e., CHINA TONTINE and CITY OFFICE go up and down completely randomly.
Pair Corralation between CHINA TONTINE and CITY OFFICE
Assuming the 90 days trading horizon CHINA TONTINE WINES is expected to generate 12.11 times more return on investment than CITY OFFICE. However, CHINA TONTINE is 12.11 times more volatile than CITY OFFICE REIT. It trades about 0.04 of its potential returns per unit of risk. CITY OFFICE REIT is currently generating about 0.0 per unit of risk. If you would invest 0.70 in CHINA TONTINE WINES on September 28, 2024 and sell it today you would earn a total of 6.30 from holding CHINA TONTINE WINES or generate 900.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
CHINA TONTINE WINES vs. CITY OFFICE REIT
Performance |
Timeline |
CHINA TONTINE WINES |
CITY OFFICE REIT |
CHINA TONTINE and CITY OFFICE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CHINA TONTINE and CITY OFFICE
The main advantage of trading using opposite CHINA TONTINE and CITY OFFICE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CHINA TONTINE 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.CHINA TONTINE vs. Diageo plc | CHINA TONTINE vs. Pernod Ricard SA | CHINA TONTINE vs. Hawesko Holding AG | CHINA TONTINE vs. ANDREW PELLER LTD |
CITY OFFICE vs. BII Railway Transportation | CITY OFFICE vs. GOLD ROAD RES | CITY OFFICE vs. CHINA TONTINE WINES | CITY OFFICE vs. BROADWIND ENRGY |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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