Correlation Between VistaREIT and Philippine National
Can any of the company-specific risk be diversified away by investing in both VistaREIT and Philippine National 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 VistaREIT and Philippine National into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between VistaREIT and Philippine National Bank, you can compare the effects of market volatilities on VistaREIT and Philippine National 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 VistaREIT with a short position of Philippine National. Check out your portfolio center. Please also check ongoing floating volatility patterns of VistaREIT and Philippine National.
Diversification Opportunities for VistaREIT and Philippine National
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between VistaREIT and Philippine is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding VistaREIT and Philippine National Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Philippine National Bank and VistaREIT 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 VistaREIT are associated (or correlated) with Philippine National. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Philippine National Bank has no effect on the direction of VistaREIT i.e., VistaREIT and Philippine National go up and down completely randomly.
Pair Corralation between VistaREIT and Philippine National
Assuming the 90 days trading horizon VistaREIT is expected to generate 1.51 times less return on investment than Philippine National. But when comparing it to its historical volatility, VistaREIT is 2.21 times less risky than Philippine National. It trades about 0.13 of its potential returns per unit of risk. Philippine National Bank is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 2,195 in Philippine National Bank on September 23, 2024 and sell it today you would earn a total of 445.00 from holding Philippine National Bank or generate 20.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
VistaREIT vs. Philippine National Bank
Performance |
Timeline |
VistaREIT |
Philippine National Bank |
VistaREIT and Philippine National Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with VistaREIT and Philippine National
The main advantage of trading using opposite VistaREIT and Philippine National positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if VistaREIT position performs unexpectedly, Philippine National 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 Philippine National will offset losses from the drop in Philippine National's long position.VistaREIT vs. Bright Kindle Resources | VistaREIT vs. Medco Holdings | VistaREIT vs. First Abacus Financial | VistaREIT vs. Metro Retail Stores |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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