Correlation Between East Coast and Exotic Food
Can any of the company-specific risk be diversified away by investing in both East Coast and Exotic Food 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 East Coast and Exotic Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between East Coast Furnitech and Exotic Food Public, you can compare the effects of market volatilities on East Coast and Exotic Food 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 East Coast with a short position of Exotic Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of East Coast and Exotic Food.
Diversification Opportunities for East Coast and Exotic Food
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between East and Exotic is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding East Coast Furnitech and Exotic Food Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Exotic Food Public and East Coast 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 East Coast Furnitech are associated (or correlated) with Exotic Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Exotic Food Public has no effect on the direction of East Coast i.e., East Coast and Exotic Food go up and down completely randomly.
Pair Corralation between East Coast and Exotic Food
Assuming the 90 days trading horizon East Coast Furnitech is expected to generate 13.77 times more return on investment than Exotic Food. However, East Coast is 13.77 times more volatile than Exotic Food Public. It trades about 0.03 of its potential returns per unit of risk. Exotic Food Public is currently generating about 0.04 per unit of risk. If you would invest 170.00 in East Coast Furnitech on November 5, 2024 and sell it today you would lose (144.00) from holding East Coast Furnitech or give up 84.71% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
East Coast Furnitech vs. Exotic Food Public
Performance |
| Timeline |
| East Coast Furnitech |
| Exotic Food Public |
East Coast and Exotic Food Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with East Coast and Exotic Food
The main advantage of trading using opposite East Coast and Exotic Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if East Coast position performs unexpectedly, Exotic Food 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 Exotic Food will offset losses from the drop in Exotic Food's long position.| East Coast vs. G Capital Public | East Coast vs. E for L | East Coast vs. Filter Vision Public | East Coast vs. Chewathai Public |
| Exotic Food vs. Mega Lifesciences Public | Exotic Food vs. Com7 PCL | Exotic Food vs. Thai Union Group | Exotic Food vs. Jay Mart Public |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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