Correlation Between Oriental Food and Shangri La
Can any of the company-specific risk be diversified away by investing in both Oriental Food and Shangri La 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 Oriental Food and Shangri La into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oriental Food Industries and Shangri La Hotels, you can compare the effects of market volatilities on Oriental Food and Shangri La 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 Oriental Food with a short position of Shangri La. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oriental Food and Shangri La.
Diversification Opportunities for Oriental Food and Shangri La
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Oriental and Shangri is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Oriental Food Industries and Shangri La Hotels in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shangri La Hotels and Oriental Food 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 Oriental Food Industries are associated (or correlated) with Shangri La. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shangri La Hotels has no effect on the direction of Oriental Food i.e., Oriental Food and Shangri La go up and down completely randomly.
Pair Corralation between Oriental Food and Shangri La
Assuming the 90 days trading horizon Oriental Food Industries is expected to under-perform the Shangri La. In addition to that, Oriental Food is 1.68 times more volatile than Shangri La Hotels. It trades about -0.07 of its total potential returns per unit of risk. Shangri La Hotels is currently generating about -0.01 per unit of volatility. If you would invest 204.00 in Shangri La Hotels on October 24, 2024 and sell it today you would lose (2.00) from holding Shangri La Hotels or give up 0.98% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Oriental Food Industries vs. Shangri La Hotels
Performance |
Timeline |
Oriental Food Industries |
Shangri La Hotels |
Oriental Food and Shangri La Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oriental Food and Shangri La
The main advantage of trading using opposite Oriental Food and Shangri La positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oriental Food position performs unexpectedly, Shangri La 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 Shangri La will offset losses from the drop in Shangri La's long position.Oriental Food vs. Diversified Gateway Solutions | Oriental Food vs. CB Industrial Product | Oriental Food vs. Impiana Hotels Bhd | Oriental Food vs. Central Industrial Corp |
Shangri La vs. British American Tobacco | Shangri La vs. Central Industrial Corp | Shangri La vs. BP Plastics Holding | Shangri La vs. Diversified Gateway Solutions |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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