Correlation Between Chiangmai Frozen and Bangkok Expressway
Can any of the company-specific risk be diversified away by investing in both Chiangmai Frozen and Bangkok Expressway 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 Bangkok Expressway 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 Bangkok Expressway and, you can compare the effects of market volatilities on Chiangmai Frozen and Bangkok Expressway 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 Bangkok Expressway. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chiangmai Frozen and Bangkok Expressway.
Diversification Opportunities for Chiangmai Frozen and Bangkok Expressway
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Chiangmai and Bangkok is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Chiangmai Frozen Foods and Bangkok Expressway and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bangkok Expressway and 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 Bangkok Expressway. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bangkok Expressway and has no effect on the direction of Chiangmai Frozen i.e., Chiangmai Frozen and Bangkok Expressway go up and down completely randomly.
Pair Corralation between Chiangmai Frozen and Bangkok Expressway
Assuming the 90 days horizon Chiangmai Frozen Foods is expected to generate 48.81 times more return on investment than Bangkok Expressway. However, Chiangmai Frozen is 48.81 times more volatile than Bangkok Expressway and. It trades about 0.06 of its potential returns per unit of risk. Bangkok Expressway and is currently generating about -0.02 per unit of risk. If you would invest 208.00 in Chiangmai Frozen Foods on August 31, 2024 and sell it today you would lose (6.00) from holding Chiangmai Frozen Foods or give up 2.88% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Chiangmai Frozen Foods vs. Bangkok Expressway and
Performance |
Timeline |
Chiangmai Frozen Foods |
Bangkok Expressway and |
Chiangmai Frozen and Bangkok Expressway Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chiangmai Frozen and Bangkok Expressway
The main advantage of trading using opposite Chiangmai Frozen and Bangkok Expressway positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chiangmai Frozen position performs unexpectedly, Bangkok Expressway 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 Bangkok Expressway will offset losses from the drop in Bangkok Expressway's 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 |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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