Correlation Between Metro Retail and First Philippine
Can any of the company-specific risk be diversified away by investing in both Metro Retail and First Philippine 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 Metro Retail and First Philippine into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Metro Retail Stores and First Philippine Holdings, you can compare the effects of market volatilities on Metro Retail and First Philippine 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 Metro Retail with a short position of First Philippine. Check out your portfolio center. Please also check ongoing floating volatility patterns of Metro Retail and First Philippine.
Diversification Opportunities for Metro Retail and First Philippine
-0.74 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Metro and First is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding Metro Retail Stores and First Philippine Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Philippine Holdings and Metro Retail 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 Metro Retail Stores are associated (or correlated) with First Philippine. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Philippine Holdings has no effect on the direction of Metro Retail i.e., Metro Retail and First Philippine go up and down completely randomly.
Pair Corralation between Metro Retail and First Philippine
Assuming the 90 days trading horizon Metro Retail is expected to generate 15.76 times less return on investment than First Philippine. In addition to that, Metro Retail is 1.28 times more volatile than First Philippine Holdings. It trades about 0.0 of its total potential returns per unit of risk. First Philippine Holdings is currently generating about 0.05 per unit of volatility. If you would invest 5,818 in First Philippine Holdings on April 20, 2025 and sell it today you would earn a total of 1,982 from holding First Philippine Holdings or generate 34.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 97.48% |
Values | Daily Returns |
Metro Retail Stores vs. First Philippine Holdings
Performance |
Timeline |
Metro Retail Stores |
First Philippine Holdings |
Metro Retail and First Philippine Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Metro Retail and First Philippine
The main advantage of trading using opposite Metro Retail and First Philippine positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Metro Retail position performs unexpectedly, First Philippine 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 First Philippine will offset losses from the drop in First Philippine's long position.Metro Retail vs. Dizon Copper Silver | Metro Retail vs. GT Capital Holdings | Metro Retail vs. Allhome Corp | Metro Retail vs. Jollibee Foods Corp |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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