Correlation Between NTG Nordic and ACCSYS TECHPLC
Can any of the company-specific risk be diversified away by investing in both NTG Nordic and ACCSYS TECHPLC 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 NTG Nordic and ACCSYS TECHPLC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NTG Nordic Transport and ACCSYS TECHPLC EO, you can compare the effects of market volatilities on NTG Nordic and ACCSYS TECHPLC 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 NTG Nordic with a short position of ACCSYS TECHPLC. Check out your portfolio center. Please also check ongoing floating volatility patterns of NTG Nordic and ACCSYS TECHPLC.
Diversification Opportunities for NTG Nordic and ACCSYS TECHPLC
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between NTG and ACCSYS is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding NTG Nordic Transport and ACCSYS TECHPLC EO in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ACCSYS TECHPLC EO and NTG Nordic 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 NTG Nordic Transport are associated (or correlated) with ACCSYS TECHPLC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ACCSYS TECHPLC EO has no effect on the direction of NTG Nordic i.e., NTG Nordic and ACCSYS TECHPLC go up and down completely randomly.
Pair Corralation between NTG Nordic and ACCSYS TECHPLC
Assuming the 90 days trading horizon NTG Nordic Transport is expected to generate 1.01 times more return on investment than ACCSYS TECHPLC. However, NTG Nordic is 1.01 times more volatile than ACCSYS TECHPLC EO. It trades about 0.02 of its potential returns per unit of risk. ACCSYS TECHPLC EO is currently generating about -0.01 per unit of risk. If you would invest 3,190 in NTG Nordic Transport on September 20, 2024 and sell it today you would earn a total of 280.00 from holding NTG Nordic Transport or generate 8.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NTG Nordic Transport vs. ACCSYS TECHPLC EO
Performance |
Timeline |
NTG Nordic Transport |
ACCSYS TECHPLC EO |
NTG Nordic and ACCSYS TECHPLC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NTG Nordic and ACCSYS TECHPLC
The main advantage of trading using opposite NTG Nordic and ACCSYS TECHPLC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NTG Nordic position performs unexpectedly, ACCSYS TECHPLC 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 ACCSYS TECHPLC will offset losses from the drop in ACCSYS TECHPLC's long position.NTG Nordic vs. Superior Plus Corp | NTG Nordic vs. SIVERS SEMICONDUCTORS AB | NTG Nordic vs. NorAm Drilling AS | NTG Nordic vs. Norsk Hydro ASA |
ACCSYS TECHPLC vs. Columbia Sportswear | ACCSYS TECHPLC vs. Iridium Communications | ACCSYS TECHPLC vs. PARKEN Sport Entertainment | ACCSYS TECHPLC vs. NTG Nordic Transport |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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