Correlation Between NTG Nordic and Peak Minerals
Can any of the company-specific risk be diversified away by investing in both NTG Nordic and Peak Minerals 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 Peak Minerals 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 Peak Minerals Limited, you can compare the effects of market volatilities on NTG Nordic and Peak Minerals 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 Peak Minerals. Check out your portfolio center. Please also check ongoing floating volatility patterns of NTG Nordic and Peak Minerals.
Diversification Opportunities for NTG Nordic and Peak Minerals
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between NTG and Peak is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding NTG Nordic Transport and Peak Minerals Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Peak Minerals Limited 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 Peak Minerals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Peak Minerals Limited has no effect on the direction of NTG Nordic i.e., NTG Nordic and Peak Minerals go up and down completely randomly.
Pair Corralation between NTG Nordic and Peak Minerals
Assuming the 90 days trading horizon NTG Nordic Transport is expected to under-perform the Peak Minerals. But the stock apears to be less risky and, when comparing its historical volatility, NTG Nordic Transport is 11.0 times less risky than Peak Minerals. The stock trades about -0.24 of its potential returns per unit of risk. The Peak Minerals Limited is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 0.30 in Peak Minerals Limited on October 22, 2024 and sell it today you would earn a total of 0.20 from holding Peak Minerals Limited or generate 66.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NTG Nordic Transport vs. Peak Minerals Limited
Performance |
Timeline |
NTG Nordic Transport |
Peak Minerals Limited |
NTG Nordic and Peak Minerals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NTG Nordic and Peak Minerals
The main advantage of trading using opposite NTG Nordic and Peak Minerals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NTG Nordic position performs unexpectedly, Peak Minerals 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 Peak Minerals will offset losses from the drop in Peak Minerals' long position.NTG Nordic vs. CARSALESCOM | NTG Nordic vs. Salesforce | NTG Nordic vs. CLOVER HEALTH INV | NTG Nordic vs. Universal Health Realty |
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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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