Correlation Between Fauji Foods and Synthetic Products
Can any of the company-specific risk be diversified away by investing in both Fauji Foods and Synthetic Products 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 Fauji Foods and Synthetic Products into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fauji Foods and Synthetic Products Enterprises, you can compare the effects of market volatilities on Fauji Foods and Synthetic Products 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 Fauji Foods with a short position of Synthetic Products. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fauji Foods and Synthetic Products.
Diversification Opportunities for Fauji Foods and Synthetic Products
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Fauji and Synthetic is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Fauji Foods and Synthetic Products Enterprises in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Synthetic Products and Fauji Foods 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 Fauji Foods are associated (or correlated) with Synthetic Products. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Synthetic Products has no effect on the direction of Fauji Foods i.e., Fauji Foods and Synthetic Products go up and down completely randomly.
Pair Corralation between Fauji Foods and Synthetic Products
Assuming the 90 days trading horizon Fauji Foods is expected to generate 2.44 times less return on investment than Synthetic Products. But when comparing it to its historical volatility, Fauji Foods is 1.92 times less risky than Synthetic Products. It trades about 0.16 of its potential returns per unit of risk. Synthetic Products Enterprises is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 1,471 in Synthetic Products Enterprises on September 14, 2024 and sell it today you would earn a total of 3,051 from holding Synthetic Products Enterprises or generate 207.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fauji Foods vs. Synthetic Products Enterprises
Performance |
Timeline |
Fauji Foods |
Synthetic Products |
Fauji Foods and Synthetic Products Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fauji Foods and Synthetic Products
The main advantage of trading using opposite Fauji Foods and Synthetic Products positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fauji Foods position performs unexpectedly, Synthetic Products 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 Synthetic Products will offset losses from the drop in Synthetic Products' long position.Fauji Foods vs. EFU General Insurance | Fauji Foods vs. United Insurance | Fauji Foods vs. East West Insurance | Fauji Foods vs. Faysal Bank |
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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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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