Correlation Between POT and Bich Chi
Can any of the company-specific risk be diversified away by investing in both POT and Bich Chi 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 POT and Bich Chi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PostTelecommunication Equipment and Bich Chi Food, you can compare the effects of market volatilities on POT and Bich Chi 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 POT with a short position of Bich Chi. Check out your portfolio center. Please also check ongoing floating volatility patterns of POT and Bich Chi.
Diversification Opportunities for POT and Bich Chi
Excellent diversification
The 3 months correlation between POT and Bich is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding PostTelecommunication Equipmen and Bich Chi Food in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bich Chi Food and POT 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 PostTelecommunication Equipment are associated (or correlated) with Bich Chi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bich Chi Food has no effect on the direction of POT i.e., POT and Bich Chi go up and down completely randomly.
Pair Corralation between POT and Bich Chi
Assuming the 90 days trading horizon POT is expected to generate 5.53 times less return on investment than Bich Chi. In addition to that, POT is 1.38 times more volatile than Bich Chi Food. It trades about 0.01 of its total potential returns per unit of risk. Bich Chi Food is currently generating about 0.06 per unit of volatility. If you would invest 2,793,397 in Bich Chi Food on October 4, 2024 and sell it today you would earn a total of 1,256,603 from holding Bich Chi Food or generate 44.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 86.46% |
Values | Daily Returns |
PostTelecommunication Equipmen vs. Bich Chi Food
Performance |
Timeline |
PostTelecommunication |
Bich Chi Food |
POT and Bich Chi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with POT and Bich Chi
The main advantage of trading using opposite POT and Bich Chi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if POT position performs unexpectedly, Bich Chi 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 Bich Chi will offset losses from the drop in Bich Chi's long position.The idea behind PostTelecommunication Equipment and Bich Chi Food pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Bich Chi vs. FIT INVEST JSC | Bich Chi vs. Damsan JSC | Bich Chi vs. An Phat Plastic | Bich Chi vs. APG Securities Joint |
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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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