Correlation Between Manila Electric and First Philippine
Can any of the company-specific risk be diversified away by investing in both Manila Electric 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 Manila Electric and First Philippine into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Manila Electric Co and First Philippine Holdings, you can compare the effects of market volatilities on Manila Electric 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 Manila Electric with a short position of First Philippine. Check out your portfolio center. Please also check ongoing floating volatility patterns of Manila Electric and First Philippine.
Diversification Opportunities for Manila Electric and First Philippine
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Manila and First is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Manila Electric Co 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 Manila Electric 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 Manila Electric Co 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 Manila Electric i.e., Manila Electric and First Philippine go up and down completely randomly.
Pair Corralation between Manila Electric and First Philippine
Assuming the 90 days trading horizon Manila Electric Co is expected to generate 1.45 times more return on investment than First Philippine. However, Manila Electric is 1.45 times more volatile than First Philippine Holdings. It trades about 0.15 of its potential returns per unit of risk. First Philippine Holdings is currently generating about -0.03 per unit of risk. If you would invest 47,464 in Manila Electric Co on December 27, 2024 and sell it today you would earn a total of 7,336 from holding Manila Electric Co or generate 15.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Manila Electric Co vs. First Philippine Holdings
Performance |
Timeline |
Manila Electric |
First Philippine Holdings |
Manila Electric and First Philippine Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Manila Electric and First Philippine
The main advantage of trading using opposite Manila Electric and First Philippine positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Manila Electric 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.Manila Electric vs. Union Bank of | Manila Electric vs. Megawide Construction Corp | Manila Electric vs. Semirara Mining Corp | Manila Electric vs. Transpacific Broadband Group |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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