Correlation Between AOYAMA TRADING and Marriott International
Can any of the company-specific risk be diversified away by investing in both AOYAMA TRADING and Marriott International 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 AOYAMA TRADING and Marriott International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AOYAMA TRADING and Marriott International, you can compare the effects of market volatilities on AOYAMA TRADING and Marriott International 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 AOYAMA TRADING with a short position of Marriott International. Check out your portfolio center. Please also check ongoing floating volatility patterns of AOYAMA TRADING and Marriott International.
Diversification Opportunities for AOYAMA TRADING and Marriott International
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between AOYAMA and Marriott is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding AOYAMA TRADING and Marriott International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Marriott International and AOYAMA TRADING 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 AOYAMA TRADING are associated (or correlated) with Marriott International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Marriott International has no effect on the direction of AOYAMA TRADING i.e., AOYAMA TRADING and Marriott International go up and down completely randomly.
Pair Corralation between AOYAMA TRADING and Marriott International
Assuming the 90 days horizon AOYAMA TRADING is expected to generate 3.22 times more return on investment than Marriott International. However, AOYAMA TRADING is 3.22 times more volatile than Marriott International. It trades about 0.09 of its potential returns per unit of risk. Marriott International is currently generating about 0.08 per unit of risk. If you would invest 317.00 in AOYAMA TRADING on September 1, 2024 and sell it today you would earn a total of 1,083 from holding AOYAMA TRADING or generate 341.64% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
AOYAMA TRADING vs. Marriott International
Performance |
| Timeline |
| AOYAMA TRADING |
| Marriott International |
AOYAMA TRADING and Marriott International Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with AOYAMA TRADING and Marriott International
The main advantage of trading using opposite AOYAMA TRADING and Marriott International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AOYAMA TRADING position performs unexpectedly, Marriott International 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 Marriott International will offset losses from the drop in Marriott International's long position.| AOYAMA TRADING vs. Diamyd Medical AB | AOYAMA TRADING vs. AVITA Medical | AOYAMA TRADING vs. PennyMac Mortgage Investment | AOYAMA TRADING vs. IMAGIN MEDICAL INC |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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