Correlation Between Taokaenoi Food and City Sports
Can any of the company-specific risk be diversified away by investing in both Taokaenoi Food and City Sports 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 Taokaenoi Food and City Sports into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Taokaenoi Food Marketing and City Sports and, you can compare the effects of market volatilities on Taokaenoi Food and City Sports 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 Taokaenoi Food with a short position of City Sports. Check out your portfolio center. Please also check ongoing floating volatility patterns of Taokaenoi Food and City Sports.
Diversification Opportunities for Taokaenoi Food and City Sports
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Taokaenoi and City is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding Taokaenoi Food Marketing and City Sports and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on City Sports and Taokaenoi 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 Taokaenoi Food Marketing are associated (or correlated) with City Sports. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of City Sports has no effect on the direction of Taokaenoi Food i.e., Taokaenoi Food and City Sports go up and down completely randomly.
Pair Corralation between Taokaenoi Food and City Sports
Assuming the 90 days trading horizon Taokaenoi Food Marketing is expected to under-perform the City Sports. In addition to that, Taokaenoi Food is 3.82 times more volatile than City Sports and. It trades about -0.3 of its total potential returns per unit of risk. City Sports and is currently generating about 0.99 per unit of volatility. If you would invest 8,200 in City Sports and on September 24, 2024 and sell it today you would earn a total of 650.00 from holding City Sports and or generate 7.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Taokaenoi Food Marketing vs. City Sports and
Performance |
Timeline |
Taokaenoi Food Marketing |
City Sports |
Taokaenoi Food and City Sports Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Taokaenoi Food and City Sports
The main advantage of trading using opposite Taokaenoi Food and City Sports positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Taokaenoi Food position performs unexpectedly, City Sports 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 City Sports will offset losses from the drop in City Sports' long position.Taokaenoi Food vs. CP ALL Public | Taokaenoi Food vs. Carabao Group Public | Taokaenoi Food vs. Thai Union Group | Taokaenoi Food vs. Minor International Public |
City Sports vs. CP ALL Public | City Sports vs. Bangkok Dusit Medical | City Sports vs. Airports of Thailand | City Sports vs. Kasikornbank 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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