Correlation Between Thu Duc and POST TELECOMMU
Can any of the company-specific risk be diversified away by investing in both Thu Duc and POST TELECOMMU 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 Thu Duc and POST TELECOMMU into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Thu Duc TradingImport and POST TELECOMMU, you can compare the effects of market volatilities on Thu Duc and POST TELECOMMU 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 Thu Duc with a short position of POST TELECOMMU. Check out your portfolio center. Please also check ongoing floating volatility patterns of Thu Duc and POST TELECOMMU.
Diversification Opportunities for Thu Duc and POST TELECOMMU
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between Thu and POST is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Thu Duc TradingImport and POST TELECOMMU in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on POST TELECOMMU and Thu Duc 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 Thu Duc TradingImport are associated (or correlated) with POST TELECOMMU. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of POST TELECOMMU has no effect on the direction of Thu Duc i.e., Thu Duc and POST TELECOMMU go up and down completely randomly.
Pair Corralation between Thu Duc and POST TELECOMMU
Assuming the 90 days trading horizon Thu Duc is expected to generate 1.3 times less return on investment than POST TELECOMMU. But when comparing it to its historical volatility, Thu Duc TradingImport is 1.45 times less risky than POST TELECOMMU. It trades about 0.3 of its potential returns per unit of risk. POST TELECOMMU is currently generating about 0.27 of returns per unit of risk over similar time horizon. If you would invest 3,100,000 in POST TELECOMMU on October 14, 2024 and sell it today you would earn a total of 460,000 from holding POST TELECOMMU or generate 14.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 55.0% |
Values | Daily Returns |
Thu Duc TradingImport vs. POST TELECOMMU
Performance |
Timeline |
Thu Duc TradingImport |
POST TELECOMMU |
Thu Duc and POST TELECOMMU Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Thu Duc and POST TELECOMMU
The main advantage of trading using opposite Thu Duc and POST TELECOMMU positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Thu Duc position performs unexpectedly, POST TELECOMMU 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 POST TELECOMMU will offset losses from the drop in POST TELECOMMU's long position.Thu Duc vs. Van Dien Fused | Thu Duc vs. Alphanam ME | Thu Duc vs. Hochiminh City Metal | Thu Duc vs. Atesco Industrial Cartering |
POST TELECOMMU vs. PetroVietnam Drilling Well | POST TELECOMMU vs. Ba Ria Thermal | POST TELECOMMU vs. Fecon Mining JSC | POST TELECOMMU vs. PetroVietnam Transportation Corp |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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