Correlation Between Computer and Thai Beverage
Can any of the company-specific risk be diversified away by investing in both Computer and Thai Beverage 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 Computer and Thai Beverage into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Computer And Technologies and Thai Beverage Public, you can compare the effects of market volatilities on Computer and Thai Beverage 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 Computer with a short position of Thai Beverage. Check out your portfolio center. Please also check ongoing floating volatility patterns of Computer and Thai Beverage.
Diversification Opportunities for Computer and Thai Beverage
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Computer and Thai is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Computer And Technologies and Thai Beverage Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Thai Beverage Public and Computer 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 Computer And Technologies are associated (or correlated) with Thai Beverage. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Thai Beverage Public has no effect on the direction of Computer i.e., Computer and Thai Beverage go up and down completely randomly.
Pair Corralation between Computer and Thai Beverage
Assuming the 90 days horizon Computer And Technologies is expected to generate 0.95 times more return on investment than Thai Beverage. However, Computer And Technologies is 1.05 times less risky than Thai Beverage. It trades about 0.1 of its potential returns per unit of risk. Thai Beverage Public is currently generating about 0.01 per unit of risk. If you would invest 14.00 in Computer And Technologies on April 21, 2025 and sell it today you would earn a total of 3.00 from holding Computer And Technologies or generate 21.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Computer And Technologies vs. Thai Beverage Public
Performance |
Timeline |
Computer And Technologies |
Thai Beverage Public |
Computer and Thai Beverage Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Computer and Thai Beverage
The main advantage of trading using opposite Computer and Thai Beverage positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Computer position performs unexpectedly, Thai Beverage 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 Thai Beverage will offset losses from the drop in Thai Beverage's long position.Computer vs. TITANIUM TRANSPORTGROUP | Computer vs. COLUMBIA SPORTSWEAR | Computer vs. TOWNSQUARE MEDIA INC | Computer vs. Ming Le Sports |
Thai Beverage vs. Melco Resorts Entertainment | Thai Beverage vs. PROSIEBENSAT1 MEDIADR4 | Thai Beverage vs. ARROW ELECTRONICS | Thai Beverage vs. LPKF Laser Electronics |
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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