Correlation Between SCG Construction and Vinhomes JSC
Can any of the company-specific risk be diversified away by investing in both SCG Construction and Vinhomes JSC 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 SCG Construction and Vinhomes JSC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SCG Construction JSC and Vinhomes JSC, you can compare the effects of market volatilities on SCG Construction and Vinhomes JSC 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 SCG Construction with a short position of Vinhomes JSC. Check out your portfolio center. Please also check ongoing floating volatility patterns of SCG Construction and Vinhomes JSC.
Diversification Opportunities for SCG Construction and Vinhomes JSC
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between SCG and Vinhomes is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding SCG Construction JSC and Vinhomes JSC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vinhomes JSC and SCG Construction 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 SCG Construction JSC are associated (or correlated) with Vinhomes JSC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vinhomes JSC has no effect on the direction of SCG Construction i.e., SCG Construction and Vinhomes JSC go up and down completely randomly.
Pair Corralation between SCG Construction and Vinhomes JSC
Assuming the 90 days trading horizon SCG Construction JSC is expected to under-perform the Vinhomes JSC. But the stock apears to be less risky and, when comparing its historical volatility, SCG Construction JSC is 5.48 times less risky than Vinhomes JSC. The stock trades about -0.01 of its potential returns per unit of risk. The Vinhomes JSC is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 3,815,000 in Vinhomes JSC on September 30, 2024 and sell it today you would earn a total of 220,000 from holding Vinhomes JSC or generate 5.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 99.22% |
Values | Daily Returns |
SCG Construction JSC vs. Vinhomes JSC
Performance |
Timeline |
SCG Construction JSC |
Vinhomes JSC |
SCG Construction and Vinhomes JSC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SCG Construction and Vinhomes JSC
The main advantage of trading using opposite SCG Construction and Vinhomes JSC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SCG Construction position performs unexpectedly, Vinhomes JSC 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 Vinhomes JSC will offset losses from the drop in Vinhomes JSC's long position.SCG Construction vs. FIT INVEST JSC | SCG Construction vs. Damsan JSC | SCG Construction vs. An Phat Plastic | SCG Construction vs. Alphanam ME |
Vinhomes JSC vs. FIT INVEST JSC | Vinhomes JSC vs. Damsan JSC | Vinhomes JSC vs. An Phat Plastic | Vinhomes JSC vs. Alphanam ME |
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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