Correlation Between CCL Industries and AOYAMA TRADING
Can any of the company-specific risk be diversified away by investing in both CCL Industries and AOYAMA TRADING 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 CCL Industries and AOYAMA TRADING into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CCL Industries and AOYAMA TRADING, you can compare the effects of market volatilities on CCL Industries and AOYAMA TRADING 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 CCL Industries with a short position of AOYAMA TRADING. Check out your portfolio center. Please also check ongoing floating volatility patterns of CCL Industries and AOYAMA TRADING.
Diversification Opportunities for CCL Industries and AOYAMA TRADING
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between CCL and AOYAMA is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding CCL Industries and AOYAMA TRADING in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AOYAMA TRADING and CCL Industries 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 CCL Industries are associated (or correlated) with AOYAMA TRADING. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AOYAMA TRADING has no effect on the direction of CCL Industries i.e., CCL Industries and AOYAMA TRADING go up and down completely randomly.
Pair Corralation between CCL Industries and AOYAMA TRADING
Assuming the 90 days horizon CCL Industries is expected to generate 0.87 times more return on investment than AOYAMA TRADING. However, CCL Industries is 1.15 times less risky than AOYAMA TRADING. It trades about -0.1 of its potential returns per unit of risk. AOYAMA TRADING is currently generating about -0.12 per unit of risk. If you would invest 4,971 in CCL Industries on October 11, 2024 and sell it today you would lose (111.00) from holding CCL Industries or give up 2.23% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CCL Industries vs. AOYAMA TRADING
Performance |
Timeline |
CCL Industries |
AOYAMA TRADING |
CCL Industries and AOYAMA TRADING Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CCL Industries and AOYAMA TRADING
The main advantage of trading using opposite CCL Industries and AOYAMA TRADING positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CCL Industries position performs unexpectedly, AOYAMA TRADING 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 AOYAMA TRADING will offset losses from the drop in AOYAMA TRADING's long position.CCL Industries vs. AOYAMA TRADING | CCL Industries vs. MEDCAW INVESTMENTS LS 01 | CCL Industries vs. GungHo Online Entertainment | CCL Industries vs. Japan Asia Investment |
AOYAMA TRADING vs. Entravision Communications | AOYAMA TRADING vs. TELECOM ITALIA | AOYAMA TRADING vs. Chunghwa Telecom Co | AOYAMA TRADING vs. Telecom Argentina SA |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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