Correlation Between Manila Electric and ArthaLand Corp
Can any of the company-specific risk be diversified away by investing in both Manila Electric and ArthaLand Corp 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 ArthaLand Corp 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 ArthaLand Corp, you can compare the effects of market volatilities on Manila Electric and ArthaLand Corp 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 ArthaLand Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Manila Electric and ArthaLand Corp.
Diversification Opportunities for Manila Electric and ArthaLand Corp
-0.22 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Manila and ArthaLand is -0.22. Overlapping area represents the amount of risk that can be diversified away by holding Manila Electric Co and ArthaLand Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ArthaLand Corp 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 ArthaLand Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ArthaLand Corp has no effect on the direction of Manila Electric i.e., Manila Electric and ArthaLand Corp go up and down completely randomly.
Pair Corralation between Manila Electric and ArthaLand Corp
Assuming the 90 days trading horizon Manila Electric Co is expected to under-perform the ArthaLand Corp. But the stock apears to be less risky and, when comparing its historical volatility, Manila Electric Co is 2.45 times less risky than ArthaLand Corp. The stock trades about -0.03 of its potential returns per unit of risk. The ArthaLand Corp is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 34.00 in ArthaLand Corp on April 24, 2025 and sell it today you would earn a total of 11.00 from holding ArthaLand Corp or generate 32.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 91.67% |
Values | Daily Returns |
Manila Electric Co vs. ArthaLand Corp
Performance |
Timeline |
Manila Electric |
ArthaLand Corp |
Manila Electric and ArthaLand Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Manila Electric and ArthaLand Corp
The main advantage of trading using opposite Manila Electric and ArthaLand Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Manila Electric position performs unexpectedly, ArthaLand Corp 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 ArthaLand Corp will offset losses from the drop in ArthaLand Corp's long position.Manila Electric vs. Robinsons Retail Holdings | Manila Electric vs. Cebu Air | Manila Electric vs. Philippine Savings Bank | Manila Electric vs. Filinvest REIT 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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