Correlation Between Binh Thanh and VietinBank Securities
Can any of the company-specific risk be diversified away by investing in both Binh Thanh and VietinBank Securities 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 Binh Thanh and VietinBank Securities into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Binh Thanh Import and VietinBank Securities JSC, you can compare the effects of market volatilities on Binh Thanh and VietinBank Securities 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 Binh Thanh with a short position of VietinBank Securities. Check out your portfolio center. Please also check ongoing floating volatility patterns of Binh Thanh and VietinBank Securities.
Diversification Opportunities for Binh Thanh and VietinBank Securities
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Binh and VietinBank is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Binh Thanh Import and VietinBank Securities JSC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on VietinBank Securities JSC and Binh Thanh 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 Binh Thanh Import are associated (or correlated) with VietinBank Securities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of VietinBank Securities JSC has no effect on the direction of Binh Thanh i.e., Binh Thanh and VietinBank Securities go up and down completely randomly.
Pair Corralation between Binh Thanh and VietinBank Securities
Assuming the 90 days trading horizon Binh Thanh is expected to generate 2.99 times less return on investment than VietinBank Securities. In addition to that, Binh Thanh is 1.06 times more volatile than VietinBank Securities JSC. It trades about 0.03 of its total potential returns per unit of risk. VietinBank Securities JSC is currently generating about 0.09 per unit of volatility. If you would invest 1,265,000 in VietinBank Securities JSC on September 20, 2024 and sell it today you would earn a total of 2,290,000 from holding VietinBank Securities JSC or generate 181.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Binh Thanh Import vs. VietinBank Securities JSC
Performance |
Timeline |
Binh Thanh Import |
VietinBank Securities JSC |
Binh Thanh and VietinBank Securities Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Binh Thanh and VietinBank Securities
The main advantage of trading using opposite Binh Thanh and VietinBank Securities positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Binh Thanh position performs unexpectedly, VietinBank Securities 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 VietinBank Securities will offset losses from the drop in VietinBank Securities' long position.Binh Thanh vs. Ha Noi Education | Binh Thanh vs. BIDV Insurance Corp | Binh Thanh vs. Hai An Transport | Binh Thanh vs. Vietnam JSCmmercial Bank |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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