Correlation Between Event Hospitality and G8 Education
Can any of the company-specific risk be diversified away by investing in both Event Hospitality and G8 Education 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 Event Hospitality and G8 Education into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Event Hospitality and and G8 Education, you can compare the effects of market volatilities on Event Hospitality and G8 Education 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 Event Hospitality with a short position of G8 Education. Check out your portfolio center. Please also check ongoing floating volatility patterns of Event Hospitality and G8 Education.
Diversification Opportunities for Event Hospitality and G8 Education
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Event and GEM is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Event Hospitality and and G8 Education in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on G8 Education and Event Hospitality 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 Event Hospitality and are associated (or correlated) with G8 Education. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of G8 Education has no effect on the direction of Event Hospitality i.e., Event Hospitality and G8 Education go up and down completely randomly.
Pair Corralation between Event Hospitality and G8 Education
Assuming the 90 days trading horizon Event Hospitality and is expected to under-perform the G8 Education. But the stock apears to be less risky and, when comparing its historical volatility, Event Hospitality and is 1.09 times less risky than G8 Education. The stock trades about -0.01 of its potential returns per unit of risk. The G8 Education is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 101.00 in G8 Education on August 29, 2024 and sell it today you would earn a total of 33.00 from holding G8 Education or generate 32.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Event Hospitality and vs. G8 Education
Performance |
Timeline |
Event Hospitality |
G8 Education |
Event Hospitality and G8 Education Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Event Hospitality and G8 Education
The main advantage of trading using opposite Event Hospitality and G8 Education positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Event Hospitality position performs unexpectedly, G8 Education 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 G8 Education will offset losses from the drop in G8 Education's long position.Event Hospitality vs. PVW Resources | Event Hospitality vs. Woolworths | Event Hospitality vs. Wesfarmers | Event Hospitality vs. Coles Group |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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