Correlation Between PARKEN Sport and GEELY AUTOMOBILE
Can any of the company-specific risk be diversified away by investing in both PARKEN Sport and GEELY AUTOMOBILE 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 PARKEN Sport and GEELY AUTOMOBILE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PARKEN Sport Entertainment and GEELY AUTOMOBILE, you can compare the effects of market volatilities on PARKEN Sport and GEELY AUTOMOBILE 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 PARKEN Sport with a short position of GEELY AUTOMOBILE. Check out your portfolio center. Please also check ongoing floating volatility patterns of PARKEN Sport and GEELY AUTOMOBILE.
Diversification Opportunities for PARKEN Sport and GEELY AUTOMOBILE
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between PARKEN and GEELY is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding PARKEN Sport Entertainment and GEELY AUTOMOBILE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GEELY AUTOMOBILE and PARKEN Sport 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 PARKEN Sport Entertainment are associated (or correlated) with GEELY AUTOMOBILE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GEELY AUTOMOBILE has no effect on the direction of PARKEN Sport i.e., PARKEN Sport and GEELY AUTOMOBILE go up and down completely randomly.
Pair Corralation between PARKEN Sport and GEELY AUTOMOBILE
Assuming the 90 days horizon PARKEN Sport is expected to generate 1.45 times less return on investment than GEELY AUTOMOBILE. But when comparing it to its historical volatility, PARKEN Sport Entertainment is 1.6 times less risky than GEELY AUTOMOBILE. It trades about 0.08 of its potential returns per unit of risk. GEELY AUTOMOBILE is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 189.00 in GEELY AUTOMOBILE on December 20, 2024 and sell it today you would earn a total of 22.00 from holding GEELY AUTOMOBILE or generate 11.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.33% |
Values | Daily Returns |
PARKEN Sport Entertainment vs. GEELY AUTOMOBILE
Performance |
Timeline |
PARKEN Sport Enterta |
GEELY AUTOMOBILE |
PARKEN Sport and GEELY AUTOMOBILE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PARKEN Sport and GEELY AUTOMOBILE
The main advantage of trading using opposite PARKEN Sport and GEELY AUTOMOBILE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PARKEN Sport position performs unexpectedly, GEELY AUTOMOBILE 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 GEELY AUTOMOBILE will offset losses from the drop in GEELY AUTOMOBILE's long position.PARKEN Sport vs. CLOVER HEALTH INV | PARKEN Sport vs. NTG Nordic Transport | PARKEN Sport vs. COSCO SHIPPING Energy | PARKEN Sport vs. USWE SPORTS AB |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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