Correlation Between Synthetic Products and National Foods
Can any of the company-specific risk be diversified away by investing in both Synthetic Products and National 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 Synthetic Products and National Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Synthetic Products Enterprises and National Foods, you can compare the effects of market volatilities on Synthetic Products and National 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 Synthetic Products with a short position of National Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Synthetic Products and National Foods.
Diversification Opportunities for Synthetic Products and National Foods
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Synthetic and National is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Synthetic Products Enterprises and National Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Foods and Synthetic Products 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 Synthetic Products Enterprises are associated (or correlated) with National Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Foods has no effect on the direction of Synthetic Products i.e., Synthetic Products and National Foods go up and down completely randomly.
Pair Corralation between Synthetic Products and National Foods
Assuming the 90 days trading horizon Synthetic Products Enterprises is expected to generate 2.31 times more return on investment than National Foods. However, Synthetic Products is 2.31 times more volatile than National Foods. It trades about 0.11 of its potential returns per unit of risk. National Foods is currently generating about 0.04 per unit of risk. If you would invest 3,900 in Synthetic Products Enterprises on October 9, 2024 and sell it today you would earn a total of 333.00 from holding Synthetic Products Enterprises or generate 8.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Synthetic Products Enterprises vs. National Foods
Performance |
Timeline |
Synthetic Products |
National Foods |
Synthetic Products and National Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Synthetic Products and National Foods
The main advantage of trading using opposite Synthetic Products and National Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Synthetic Products position performs unexpectedly, National 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 National Foods will offset losses from the drop in National Foods' long position.Synthetic Products vs. IGI Life Insurance | Synthetic Products vs. TPL Insurance | Synthetic Products vs. Century Insurance | Synthetic Products vs. Jubilee Life Insurance |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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