Correlation Between Lippo General and Ace Hardware
Can any of the company-specific risk be diversified away by investing in both Lippo General and Ace Hardware 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 Lippo General and Ace Hardware into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lippo General Insurance and Ace Hardware Indonesia, you can compare the effects of market volatilities on Lippo General and Ace Hardware 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 Lippo General with a short position of Ace Hardware. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lippo General and Ace Hardware.
Diversification Opportunities for Lippo General and Ace Hardware
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Lippo and Ace is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Lippo General Insurance and Ace Hardware Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ace Hardware Indonesia and Lippo General 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 Lippo General Insurance are associated (or correlated) with Ace Hardware. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ace Hardware Indonesia has no effect on the direction of Lippo General i.e., Lippo General and Ace Hardware go up and down completely randomly.
Pair Corralation between Lippo General and Ace Hardware
Assuming the 90 days trading horizon Lippo General Insurance is expected to generate 0.94 times more return on investment than Ace Hardware. However, Lippo General Insurance is 1.07 times less risky than Ace Hardware. It trades about 0.11 of its potential returns per unit of risk. Ace Hardware Indonesia is currently generating about -0.22 per unit of risk. If you would invest 32,200 in Lippo General Insurance on December 29, 2024 and sell it today you would earn a total of 5,800 from holding Lippo General Insurance or generate 18.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lippo General Insurance vs. Ace Hardware Indonesia
Performance |
Timeline |
Lippo General Insurance |
Ace Hardware Indonesia |
Lippo General and Ace Hardware Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lippo General and Ace Hardware
The main advantage of trading using opposite Lippo General and Ace Hardware positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lippo General position performs unexpectedly, Ace Hardware 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 Ace Hardware will offset losses from the drop in Ace Hardware's long position.Lippo General vs. Maskapai Reasuransi Indonesia | Lippo General vs. Lenox Pasifik Investama | Lippo General vs. Paninvest Tbk | Lippo General vs. Bank Mayapada Internasional |
Ace Hardware vs. Japfa Comfeed Indonesia | Ace Hardware vs. Charoen Pokphand Indonesia | Ace Hardware vs. Erajaya Swasembada Tbk | Ace Hardware vs. Indofood Cbp Sukses |
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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