Correlation Between Standard Foods and Lian Hwa
Can any of the company-specific risk be diversified away by investing in both Standard Foods and Lian Hwa 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 Lian Hwa 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 Lian Hwa Foods, you can compare the effects of market volatilities on Standard Foods and Lian Hwa 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 Lian Hwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Standard Foods and Lian Hwa.
Diversification Opportunities for Standard Foods and Lian Hwa
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Standard and Lian is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Standard Foods Corp and Lian Hwa Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lian Hwa Foods 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 Lian Hwa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lian Hwa Foods has no effect on the direction of Standard Foods i.e., Standard Foods and Lian Hwa go up and down completely randomly.
Pair Corralation between Standard Foods and Lian Hwa
Assuming the 90 days trading horizon Standard Foods Corp is expected to under-perform the Lian Hwa. But the stock apears to be less risky and, when comparing its historical volatility, Standard Foods Corp is 3.95 times less risky than Lian Hwa. The stock trades about -0.09 of its potential returns per unit of risk. The Lian Hwa Foods is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 13,800 in Lian Hwa Foods on December 30, 2024 and sell it today you would lose (700.00) from holding Lian Hwa Foods or give up 5.07% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Standard Foods Corp vs. Lian Hwa Foods
Performance |
Timeline |
Standard Foods Corp |
Lian Hwa Foods |
Standard Foods and Lian Hwa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Standard Foods and Lian Hwa
The main advantage of trading using opposite Standard Foods and Lian Hwa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Standard Foods position performs unexpectedly, Lian Hwa 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 Lian Hwa will offset losses from the drop in Lian Hwa's long position.Standard Foods vs. Uni President Enterprises Corp | Standard Foods vs. TTET Union Corp | Standard Foods vs. President Chain Store | Standard Foods vs. Charoen Pokphand 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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