Correlation Between BaoMinh Insurance and Picomat Plastic
Can any of the company-specific risk be diversified away by investing in both BaoMinh Insurance and Picomat Plastic 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 BaoMinh Insurance and Picomat Plastic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BaoMinh Insurance Corp and Picomat Plastic JSC, you can compare the effects of market volatilities on BaoMinh Insurance and Picomat Plastic 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 BaoMinh Insurance with a short position of Picomat Plastic. Check out your portfolio center. Please also check ongoing floating volatility patterns of BaoMinh Insurance and Picomat Plastic.
Diversification Opportunities for BaoMinh Insurance and Picomat Plastic
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between BaoMinh and Picomat is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding BaoMinh Insurance Corp and Picomat Plastic JSC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Picomat Plastic JSC and BaoMinh Insurance 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 BaoMinh Insurance Corp are associated (or correlated) with Picomat Plastic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Picomat Plastic JSC has no effect on the direction of BaoMinh Insurance i.e., BaoMinh Insurance and Picomat Plastic go up and down completely randomly.
Pair Corralation between BaoMinh Insurance and Picomat Plastic
Assuming the 90 days trading horizon BaoMinh Insurance is expected to generate 3.17 times less return on investment than Picomat Plastic. But when comparing it to its historical volatility, BaoMinh Insurance Corp is 1.46 times less risky than Picomat Plastic. It trades about 0.04 of its potential returns per unit of risk. Picomat Plastic JSC is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 480,000 in Picomat Plastic JSC on September 14, 2024 and sell it today you would earn a total of 780,000 from holding Picomat Plastic JSC or generate 162.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 99.59% |
Values | Daily Returns |
BaoMinh Insurance Corp vs. Picomat Plastic JSC
Performance |
Timeline |
BaoMinh Insurance Corp |
Picomat Plastic JSC |
BaoMinh Insurance and Picomat Plastic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BaoMinh Insurance and Picomat Plastic
The main advantage of trading using opposite BaoMinh Insurance and Picomat Plastic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BaoMinh Insurance position performs unexpectedly, Picomat Plastic 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 Picomat Plastic will offset losses from the drop in Picomat Plastic's long position.BaoMinh Insurance vs. Transport and Industry | BaoMinh Insurance vs. BIDV Insurance Corp | BaoMinh Insurance vs. Post and Telecommunications | BaoMinh Insurance vs. Hochiminh City Metal |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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