Correlation Between ES Ceramics and Farm Price
Can any of the company-specific risk be diversified away by investing in both ES Ceramics and Farm Price 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 ES Ceramics and Farm Price into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ES Ceramics Technology and Farm Price Holdings, you can compare the effects of market volatilities on ES Ceramics and Farm Price 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 ES Ceramics with a short position of Farm Price. Check out your portfolio center. Please also check ongoing floating volatility patterns of ES Ceramics and Farm Price.
Diversification Opportunities for ES Ceramics and Farm Price
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between 0100 and Farm is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding ES Ceramics Technology and Farm Price Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Farm Price Holdings and ES Ceramics 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 ES Ceramics Technology are associated (or correlated) with Farm Price. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Farm Price Holdings has no effect on the direction of ES Ceramics i.e., ES Ceramics and Farm Price go up and down completely randomly.
Pair Corralation between ES Ceramics and Farm Price
Assuming the 90 days trading horizon ES Ceramics Technology is expected to generate 2.36 times more return on investment than Farm Price. However, ES Ceramics is 2.36 times more volatile than Farm Price Holdings. It trades about 0.02 of its potential returns per unit of risk. Farm Price Holdings is currently generating about -0.23 per unit of risk. If you would invest 14.00 in ES Ceramics Technology on October 25, 2024 and sell it today you would earn a total of 0.00 from holding ES Ceramics Technology or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ES Ceramics Technology vs. Farm Price Holdings
Performance |
Timeline |
ES Ceramics Technology |
Farm Price Holdings |
ES Ceramics and Farm Price Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ES Ceramics and Farm Price
The main advantage of trading using opposite ES Ceramics and Farm Price positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ES Ceramics position performs unexpectedly, Farm Price 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 Farm Price will offset losses from the drop in Farm Price's long position.ES Ceramics vs. Kobay Tech Bhd | ES Ceramics vs. CPE Technology Berhad | ES Ceramics vs. Supercomnet Technologies Bhd | ES Ceramics vs. SFP Tech Holdings |
Farm Price vs. Central Industrial Corp | Farm Price vs. SSF Home Group | Farm Price vs. Press Metal Bhd | Farm Price vs. Lysaght Galvanized Steel |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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