Correlation Between KION Group and PARKEN Sport
Can any of the company-specific risk be diversified away by investing in both KION Group and PARKEN Sport 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 KION Group and PARKEN Sport into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KION Group AG and PARKEN Sport Entertainment, you can compare the effects of market volatilities on KION Group and PARKEN Sport 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 KION Group with a short position of PARKEN Sport. Check out your portfolio center. Please also check ongoing floating volatility patterns of KION Group and PARKEN Sport.
Diversification Opportunities for KION Group and PARKEN Sport
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between KION and PARKEN is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding KION Group AG and PARKEN Sport Entertainment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PARKEN Sport Enterta and KION Group 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 KION Group AG are associated (or correlated) with PARKEN Sport. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PARKEN Sport Enterta has no effect on the direction of KION Group i.e., KION Group and PARKEN Sport go up and down completely randomly.
Pair Corralation between KION Group and PARKEN Sport
Assuming the 90 days horizon KION Group is expected to generate 5.22 times less return on investment than PARKEN Sport. But when comparing it to its historical volatility, KION Group AG is 1.16 times less risky than PARKEN Sport. It trades about 0.01 of its potential returns per unit of risk. PARKEN Sport Entertainment is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 1,640 in PARKEN Sport Entertainment on September 13, 2024 and sell it today you would earn a total of 40.00 from holding PARKEN Sport Entertainment or generate 2.44% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
KION Group AG vs. PARKEN Sport Entertainment
Performance |
| Timeline |
| KION Group AG |
| PARKEN Sport Enterta |
KION Group and PARKEN Sport Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with KION Group and PARKEN Sport
The main advantage of trading using opposite KION Group and PARKEN Sport positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KION Group position performs unexpectedly, PARKEN Sport 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 PARKEN Sport will offset losses from the drop in PARKEN Sport's long position.| KION Group vs. PARKEN Sport Entertainment | KION Group vs. Transport International Holdings | KION Group vs. BJs Restaurants | KION Group vs. SWISS WATER DECAFFCOFFEE |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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