Correlation Between Standard Foods and Lungyen Life
Can any of the company-specific risk be diversified away by investing in both Standard Foods and Lungyen Life 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 Standard Foods and Lungyen Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Standard Foods Corp and Lungyen Life Service, you can compare the effects of market volatilities on Standard Foods and Lungyen Life 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 Standard Foods with a short position of Lungyen Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of Standard Foods and Lungyen Life.
Diversification Opportunities for Standard Foods and Lungyen Life
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Standard and Lungyen is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Standard Foods Corp and Lungyen Life Service in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lungyen Life Service and Standard 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 Standard Foods Corp are associated (or correlated) with Lungyen Life. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lungyen Life Service has no effect on the direction of Standard Foods i.e., Standard Foods and Lungyen Life go up and down completely randomly.
Pair Corralation between Standard Foods and Lungyen Life
Assuming the 90 days trading horizon Standard Foods Corp is expected to under-perform the Lungyen Life. But the stock apears to be less risky and, when comparing its historical volatility, Standard Foods Corp is 2.58 times less risky than Lungyen Life. The stock trades about -0.16 of its potential returns per unit of risk. The Lungyen Life Service is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 4,710 in Lungyen Life Service on October 4, 2024 and sell it today you would earn a total of 830.00 from holding Lungyen Life Service or generate 17.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Standard Foods Corp vs. Lungyen Life Service
Performance |
Timeline |
Standard Foods Corp |
Lungyen Life Service |
Standard Foods and Lungyen Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Standard Foods and Lungyen Life
The main advantage of trading using opposite Standard Foods and Lungyen Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Standard Foods position performs unexpectedly, Lungyen Life 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 Lungyen Life will offset losses from the drop in Lungyen Life's long position.Standard Foods vs. Uni President Enterprises Corp | Standard Foods vs. TTET Union Corp | Standard Foods vs. Charoen Pokphand Enterprise | Standard Foods vs. Great Wall Enterprise |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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