Correlation Between NTG Nordic and INTERCONT HOTELS
Can any of the company-specific risk be diversified away by investing in both NTG Nordic and INTERCONT HOTELS 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 INTERCONT HOTELS 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 INTERCONT HOTELS, you can compare the effects of market volatilities on NTG Nordic and INTERCONT HOTELS 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 INTERCONT HOTELS. Check out your portfolio center. Please also check ongoing floating volatility patterns of NTG Nordic and INTERCONT HOTELS.
Diversification Opportunities for NTG Nordic and INTERCONT HOTELS
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between NTG and INTERCONT is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding NTG Nordic Transport and INTERCONT HOTELS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on INTERCONT HOTELS 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 INTERCONT HOTELS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of INTERCONT HOTELS has no effect on the direction of NTG Nordic i.e., NTG Nordic and INTERCONT HOTELS go up and down completely randomly.
Pair Corralation between NTG Nordic and INTERCONT HOTELS
Assuming the 90 days trading horizon NTG Nordic Transport is expected to under-perform the INTERCONT HOTELS. In addition to that, NTG Nordic is 1.59 times more volatile than INTERCONT HOTELS. It trades about -0.12 of its total potential returns per unit of risk. INTERCONT HOTELS is currently generating about 0.1 per unit of volatility. If you would invest 9,100 in INTERCONT HOTELS on April 24, 2025 and sell it today you would earn a total of 800.00 from holding INTERCONT HOTELS or generate 8.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
NTG Nordic Transport vs. INTERCONT HOTELS
Performance |
Timeline |
NTG Nordic Transport |
INTERCONT HOTELS |
NTG Nordic and INTERCONT HOTELS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NTG Nordic and INTERCONT HOTELS
The main advantage of trading using opposite NTG Nordic and INTERCONT HOTELS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NTG Nordic position performs unexpectedly, INTERCONT HOTELS 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 INTERCONT HOTELS will offset losses from the drop in INTERCONT HOTELS's long position.NTG Nordic vs. AAC TECHNOLOGHLDGADR | NTG Nordic vs. SALESFORCE INC CDR | NTG Nordic vs. SUPERNOVA METALS P | NTG Nordic vs. SIMS METAL MGT |
INTERCONT HOTELS vs. ERSTE GP BNK | INTERCONT HOTELS vs. W R Berkley | INTERCONT HOTELS vs. News Corporation |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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