Correlation Between Manila Electric and Sun Life
Can any of the company-specific risk be diversified away by investing in both Manila Electric and Sun Life 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 Sun Life 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 Sun Life Financial, you can compare the effects of market volatilities on Manila Electric and Sun Life 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 Sun Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of Manila Electric and Sun Life.
Diversification Opportunities for Manila Electric and Sun Life
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Manila and Sun is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Manila Electric Co and Sun Life Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sun Life Financial 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 Sun Life. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sun Life Financial has no effect on the direction of Manila Electric i.e., Manila Electric and Sun Life go up and down completely randomly.
Pair Corralation between Manila Electric and Sun Life
Assuming the 90 days trading horizon Manila Electric is expected to generate 17.54 times less return on investment than Sun Life. But when comparing it to its historical volatility, Manila Electric Co is 2.34 times less risky than Sun Life. It trades about 0.01 of its potential returns per unit of risk. Sun Life Financial is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 296,978 in Sun Life Financial on October 24, 2024 and sell it today you would earn a total of 33,422 from holding Sun Life Financial or generate 11.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 79.31% |
Values | Daily Returns |
Manila Electric Co vs. Sun Life Financial
Performance |
Timeline |
Manila Electric |
Sun Life Financial |
Manila Electric and Sun Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Manila Electric and Sun Life
The main advantage of trading using opposite Manila Electric and Sun Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Manila Electric position performs unexpectedly, Sun Life 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 Sun Life will offset losses from the drop in Sun Life's long position.Manila Electric vs. Figaro Coffee Group | Manila Electric vs. Lepanto Consolidated Mining | Manila Electric vs. Union Bank of | Manila Electric vs. Allhome Corp |
Sun Life vs. Semirara Mining Corp | Sun Life vs. Century Pacific Food | Sun Life vs. Jollibee Foods Corp | Sun Life vs. Lepanto Consolidated Mining |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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