Correlation Between PT Lippo and Carefree
Can any of the company-specific risk be diversified away by investing in both PT Lippo and Carefree 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 PT Lippo and Carefree into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Lippo Karawaci and Carefree Group, you can compare the effects of market volatilities on PT Lippo and Carefree 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 PT Lippo with a short position of Carefree. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Lippo and Carefree.
Diversification Opportunities for PT Lippo and Carefree
No risk reduction
The 3 months correlation between PTLKF and Carefree is 1.0. Overlapping area represents the amount of risk that can be diversified away by holding PT Lippo Karawaci and Carefree Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Carefree Group and PT Lippo 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 PT Lippo Karawaci are associated (or correlated) with Carefree. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Carefree Group has no effect on the direction of PT Lippo i.e., PT Lippo and Carefree go up and down completely randomly.
Pair Corralation between PT Lippo and Carefree
If you would invest 1.50 in Carefree Group on September 25, 2024 and sell it today you would earn a total of 0.00 from holding Carefree Group or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 90.91% |
Values | Daily Returns |
PT Lippo Karawaci vs. Carefree Group
Performance |
Timeline |
PT Lippo Karawaci |
Carefree Group |
PT Lippo and Carefree Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Lippo and Carefree
The main advantage of trading using opposite PT Lippo and Carefree positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Lippo position performs unexpectedly, Carefree 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 Carefree will offset losses from the drop in Carefree's long position.PT Lippo vs. Paltalk | PT Lippo vs. Freedom Holding Corp | PT Lippo vs. NetSol Technologies | PT Lippo vs. Q2 Holdings |
Carefree vs. Absolute Health and | Carefree vs. Supurva Healthcare Group | Carefree vs. Alpha Wastewater | Carefree vs. China Health Management |
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 Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
Other Complementary Tools
Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity |