Correlation Between Nafoods Group and South Books
Can any of the company-specific risk be diversified away by investing in both Nafoods Group and South Books 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 Nafoods Group and South Books into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nafoods Group JSC and South Books Educational, you can compare the effects of market volatilities on Nafoods Group and South Books 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 Nafoods Group with a short position of South Books. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nafoods Group and South Books.
Diversification Opportunities for Nafoods Group and South Books
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Nafoods and South is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Nafoods Group JSC and South Books Educational in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on South Books Educational and Nafoods Group 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 Nafoods Group JSC are associated (or correlated) with South Books. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of South Books Educational has no effect on the direction of Nafoods Group i.e., Nafoods Group and South Books go up and down completely randomly.
Pair Corralation between Nafoods Group and South Books
Assuming the 90 days trading horizon Nafoods Group JSC is expected to generate 0.53 times more return on investment than South Books. However, Nafoods Group JSC is 1.89 times less risky than South Books. It trades about 0.08 of its potential returns per unit of risk. South Books Educational is currently generating about 0.03 per unit of risk. If you would invest 981,818 in Nafoods Group JSC on October 10, 2024 and sell it today you would earn a total of 938,182 from holding Nafoods Group JSC or generate 95.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 51.32% |
Values | Daily Returns |
Nafoods Group JSC vs. South Books Educational
Performance |
Timeline |
Nafoods Group JSC |
South Books Educational |
Nafoods Group and South Books Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nafoods Group and South Books
The main advantage of trading using opposite Nafoods Group and South Books positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nafoods Group position performs unexpectedly, South Books 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 South Books will offset losses from the drop in South Books' long position.Nafoods Group vs. Petrovietnam Drilling Mud | Nafoods Group vs. Vietnam National Reinsurance | Nafoods Group vs. Vincom Retail JSC | Nafoods Group vs. Song Hong Aluminum |
South Books vs. Danang Education Investment | South Books vs. PetroVietnam Transportation Corp | South Books vs. Bich Chi Food | South Books vs. Nafoods Group JSC |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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