Correlation Between Bank Central and Vecima Networks
Can any of the company-specific risk be diversified away by investing in both Bank Central and Vecima Networks 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 Bank Central and Vecima Networks into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Central Asia and Vecima Networks, you can compare the effects of market volatilities on Bank Central and Vecima Networks 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 Bank Central with a short position of Vecima Networks. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Central and Vecima Networks.
Diversification Opportunities for Bank Central and Vecima Networks
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and Vecima is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Bank Central Asia and Vecima Networks in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vecima Networks and Bank Central 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 Bank Central Asia are associated (or correlated) with Vecima Networks. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vecima Networks has no effect on the direction of Bank Central i.e., Bank Central and Vecima Networks go up and down completely randomly.
Pair Corralation between Bank Central and Vecima Networks
Assuming the 90 days horizon Bank Central Asia is expected to generate 0.99 times more return on investment than Vecima Networks. However, Bank Central Asia is 1.01 times less risky than Vecima Networks. It trades about -0.13 of its potential returns per unit of risk. Vecima Networks is currently generating about -0.45 per unit of risk. If you would invest 1,560 in Bank Central Asia on September 22, 2024 and sell it today you would lose (98.00) from holding Bank Central Asia or give up 6.28% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Central Asia vs. Vecima Networks
Performance |
Timeline |
Bank Central Asia |
Vecima Networks |
Bank Central and Vecima Networks Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Central and Vecima Networks
The main advantage of trading using opposite Bank Central and Vecima Networks positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Central position performs unexpectedly, Vecima Networks 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 Vecima Networks will offset losses from the drop in Vecima Networks' long position.Bank Central vs. Morningstar Unconstrained Allocation | Bank Central vs. Bondbloxx ETF Trust | Bank Central vs. Spring Valley Acquisition | Bank Central vs. Bondbloxx ETF Trust |
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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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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