Correlation Between PARKEN Sport and NTG Nordic
Can any of the company-specific risk be diversified away by investing in both PARKEN Sport and NTG Nordic 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 NTG Nordic 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 NTG Nordic Transport, you can compare the effects of market volatilities on PARKEN Sport and NTG Nordic 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 NTG Nordic. Check out your portfolio center. Please also check ongoing floating volatility patterns of PARKEN Sport and NTG Nordic.
Diversification Opportunities for PARKEN Sport and NTG Nordic
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between PARKEN and NTG is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding PARKEN Sport Entertainment and NTG Nordic Transport in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NTG Nordic Transport 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 NTG Nordic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NTG Nordic Transport has no effect on the direction of PARKEN Sport i.e., PARKEN Sport and NTG Nordic go up and down completely randomly.
Pair Corralation between PARKEN Sport and NTG Nordic
Assuming the 90 days horizon PARKEN Sport is expected to generate 1.27 times less return on investment than NTG Nordic. But when comparing it to its historical volatility, PARKEN Sport Entertainment is 1.03 times less risky than NTG Nordic. It trades about 0.04 of its potential returns per unit of risk. NTG Nordic Transport is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 3,580 in NTG Nordic Transport on August 31, 2024 and sell it today you would earn a total of 235.00 from holding NTG Nordic Transport or generate 6.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PARKEN Sport Entertainment vs. NTG Nordic Transport
Performance |
Timeline |
PARKEN Sport Enterta |
NTG Nordic Transport |
PARKEN Sport and NTG Nordic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PARKEN Sport and NTG Nordic
The main advantage of trading using opposite PARKEN Sport and NTG Nordic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PARKEN Sport position performs unexpectedly, NTG Nordic 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 NTG Nordic will offset losses from the drop in NTG Nordic's long position.PARKEN Sport vs. PennantPark Investment | PARKEN Sport vs. Japan Tobacco | PARKEN Sport vs. BORR DRILLING NEW | PARKEN Sport vs. Virtus Investment Partners |
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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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