Correlation Between NTG Nordic and Flowers Foods
Can any of the company-specific risk be diversified away by investing in both NTG Nordic and Flowers Foods 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 Flowers Foods 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 Flowers Foods, you can compare the effects of market volatilities on NTG Nordic and Flowers Foods 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 Flowers Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of NTG Nordic and Flowers Foods.
Diversification Opportunities for NTG Nordic and Flowers Foods
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between NTG and Flowers is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding NTG Nordic Transport and Flowers Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Flowers Foods 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 Flowers Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Flowers Foods has no effect on the direction of NTG Nordic i.e., NTG Nordic and Flowers Foods go up and down completely randomly.
Pair Corralation between NTG Nordic and Flowers Foods
Assuming the 90 days trading horizon NTG Nordic Transport is expected to under-perform the Flowers Foods. But the stock apears to be less risky and, when comparing its historical volatility, NTG Nordic Transport is 1.55 times less risky than Flowers Foods. The stock trades about -0.36 of its potential returns per unit of risk. The Flowers Foods is currently generating about -0.06 of returns per unit of risk over similar time horizon. If you would invest 2,060 in Flowers Foods on October 10, 2024 and sell it today you would lose (40.00) from holding Flowers Foods or give up 1.94% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NTG Nordic Transport vs. Flowers Foods
Performance |
Timeline |
NTG Nordic Transport |
Flowers Foods |
NTG Nordic and Flowers Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NTG Nordic and Flowers Foods
The main advantage of trading using opposite NTG Nordic and Flowers Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NTG Nordic position performs unexpectedly, Flowers Foods 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 Flowers Foods will offset losses from the drop in Flowers Foods' long position.NTG Nordic vs. Superior Plus Corp | NTG Nordic vs. NMI Holdings | NTG Nordic vs. SIVERS SEMICONDUCTORS AB | NTG Nordic vs. Talanx AG |
Flowers Foods vs. PLAYTIKA HOLDING DL 01 | Flowers Foods vs. RETAIL FOOD GROUP | Flowers Foods vs. BJs Wholesale Club | Flowers Foods vs. VIAPLAY GROUP AB |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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