Correlation Between CapitaLand Investment and PGE Corp
Can any of the company-specific risk be diversified away by investing in both CapitaLand Investment and PGE 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 CapitaLand Investment and PGE Corp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CapitaLand Investment Limited and PGE Corp, you can compare the effects of market volatilities on CapitaLand Investment and PGE 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 CapitaLand Investment with a short position of PGE Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of CapitaLand Investment and PGE Corp.
Diversification Opportunities for CapitaLand Investment and PGE Corp
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between CapitaLand and PGE is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding CapitaLand Investment Limited and PGE Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PGE Corp and CapitaLand Investment 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 CapitaLand Investment Limited are associated (or correlated) with PGE Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PGE Corp has no effect on the direction of CapitaLand Investment i.e., CapitaLand Investment and PGE Corp go up and down completely randomly.
Pair Corralation between CapitaLand Investment and PGE Corp
Assuming the 90 days horizon CapitaLand Investment Limited is expected to under-perform the PGE Corp. But the pink sheet apears to be less risky and, when comparing its historical volatility, CapitaLand Investment Limited is 1.13 times less risky than PGE Corp. The pink sheet trades about -0.13 of its potential returns per unit of risk. The PGE Corp is currently generating about -0.11 of returns per unit of risk over similar time horizon. If you would invest 2,018 in PGE Corp on December 26, 2024 and sell it today you would lose (312.00) from holding PGE Corp or give up 15.46% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CapitaLand Investment Limited vs. PGE Corp
Performance |
Timeline |
CapitaLand Investment |
PGE Corp |
CapitaLand Investment and PGE Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CapitaLand Investment and PGE Corp
The main advantage of trading using opposite CapitaLand Investment and PGE Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CapitaLand Investment position performs unexpectedly, PGE 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 PGE Corp will offset losses from the drop in PGE Corp's long position.CapitaLand Investment vs. IRSA Inversiones Y | CapitaLand Investment vs. Anywhere Real Estate | CapitaLand Investment vs. Newmark Group | CapitaLand Investment vs. Wharf Real Estate |
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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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