Correlation Between Jollibee Foods and First Philippine
Can any of the company-specific risk be diversified away by investing in both Jollibee Foods 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 Jollibee Foods and First Philippine into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jollibee Foods Corp and First Philippine Holdings, you can compare the effects of market volatilities on Jollibee Foods 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 Jollibee Foods with a short position of First Philippine. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jollibee Foods and First Philippine.
Diversification Opportunities for Jollibee Foods and First Philippine
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Jollibee and First is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Jollibee Foods Corp 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 Jollibee Foods 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 Jollibee Foods Corp 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 Jollibee Foods i.e., Jollibee Foods and First Philippine go up and down completely randomly.
Pair Corralation between Jollibee Foods and First Philippine
Assuming the 90 days trading horizon Jollibee Foods Corp is expected to under-perform the First Philippine. In addition to that, Jollibee Foods is 2.16 times more volatile than First Philippine Holdings. It trades about -0.08 of its total potential returns per unit of risk. First Philippine Holdings is currently generating about -0.06 per unit of volatility. If you would invest 6,000 in First Philippine Holdings on December 30, 2024 and sell it today you would lose (280.00) from holding First Philippine Holdings or give up 4.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Jollibee Foods Corp vs. First Philippine Holdings
Performance |
Timeline |
Jollibee Foods Corp |
First Philippine Holdings |
Jollibee Foods and First Philippine Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jollibee Foods and First Philippine
The main advantage of trading using opposite Jollibee Foods and First Philippine positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jollibee Foods 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.Jollibee Foods vs. Prime Media Holdings | Jollibee Foods vs. Philippine Business Bank | Jollibee Foods vs. Robinsons Retail Holdings | Jollibee Foods vs. Converge Information Communications |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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