Correlation Between Chiangmai Frozen and City Sports
Can any of the company-specific risk be diversified away by investing in both Chiangmai Frozen 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 Chiangmai Frozen and City Sports into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chiangmai Frozen Foods and City Sports and, you can compare the effects of market volatilities on Chiangmai Frozen 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 Chiangmai Frozen with a short position of City Sports. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chiangmai Frozen and City Sports.
Diversification Opportunities for Chiangmai Frozen and City Sports
-0.9 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Chiangmai and City is -0.9. Overlapping area represents the amount of risk that can be diversified away by holding Chiangmai Frozen Foods and City Sports and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on City Sports and Chiangmai Frozen 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 Chiangmai Frozen Foods 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 Chiangmai Frozen i.e., Chiangmai Frozen and City Sports go up and down completely randomly.
Pair Corralation between Chiangmai Frozen and City Sports
Assuming the 90 days horizon Chiangmai Frozen is expected to generate 1.03 times less return on investment than City Sports. In addition to that, Chiangmai Frozen is 1.0 times more volatile than City Sports and. It trades about 0.05 of its total potential returns per unit of risk. City Sports and is currently generating about 0.05 per unit of volatility. If you would invest 6,831 in City Sports and on October 6, 2024 and sell it today you would earn a total of 2,144 from holding City Sports and or generate 31.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Chiangmai Frozen Foods vs. City Sports and
Performance |
Timeline |
Chiangmai Frozen Foods |
City Sports |
Chiangmai Frozen and City Sports Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chiangmai Frozen and City Sports
The main advantage of trading using opposite Chiangmai Frozen and City Sports positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chiangmai Frozen 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.Chiangmai Frozen vs. Chumporn Palm Oil | Chiangmai Frozen vs. GFPT Public | Chiangmai Frozen vs. Crown Seal Public | Chiangmai Frozen vs. Dynasty Ceramic Public |
City Sports vs. Chiangmai Frozen Foods | City Sports vs. Dynasty Ceramic Public | City Sports vs. Castle Peak Holdings | City Sports vs. CPL Group 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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