Correlation Between Chiangmai Frozen and Bualuang Office
Can any of the company-specific risk be diversified away by investing in both Chiangmai Frozen and Bualuang Office 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 Bualuang Office 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 Bualuang Office Leasehold, you can compare the effects of market volatilities on Chiangmai Frozen and Bualuang Office 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 Bualuang Office. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chiangmai Frozen and Bualuang Office.
Diversification Opportunities for Chiangmai Frozen and Bualuang Office
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Chiangmai and Bualuang is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Chiangmai Frozen Foods and Bualuang Office Leasehold in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bualuang Office Leasehold 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 Bualuang Office. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bualuang Office Leasehold has no effect on the direction of Chiangmai Frozen i.e., Chiangmai Frozen and Bualuang Office go up and down completely randomly.
Pair Corralation between Chiangmai Frozen and Bualuang Office
Assuming the 90 days horizon Chiangmai Frozen Foods is expected to generate 9.92 times more return on investment than Bualuang Office. However, Chiangmai Frozen is 9.92 times more volatile than Bualuang Office Leasehold. It trades about 0.04 of its potential returns per unit of risk. Bualuang Office Leasehold is currently generating about -0.06 per unit of risk. If you would invest 264.00 in Chiangmai Frozen Foods on October 11, 2024 and sell it today you would lose (74.00) from holding Chiangmai Frozen Foods or give up 28.03% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.04% |
Values | Daily Returns |
Chiangmai Frozen Foods vs. Bualuang Office Leasehold
Performance |
Timeline |
Chiangmai Frozen Foods |
Bualuang Office Leasehold |
Chiangmai Frozen and Bualuang Office Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chiangmai Frozen and Bualuang Office
The main advantage of trading using opposite Chiangmai Frozen and Bualuang Office positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chiangmai Frozen position performs unexpectedly, Bualuang Office 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 Bualuang Office will offset losses from the drop in Bualuang Office's long position.Chiangmai Frozen vs. Thai Vegetable Oil | Chiangmai Frozen vs. SP Syndicate Public | Chiangmai Frozen vs. Haad Thip Public | Chiangmai Frozen vs. The Erawan Group |
Bualuang Office vs. Symphony Communication Public | Bualuang Office vs. Halcyon Technology Public | Bualuang Office vs. Vintcom Technology PCL | Bualuang Office vs. Chiangmai Frozen Foods |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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