Correlation Between Jakarta Int and Japfa Comfeed
Can any of the company-specific risk be diversified away by investing in both Jakarta Int and Japfa Comfeed 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 Jakarta Int and Japfa Comfeed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jakarta Int Hotels and Japfa Comfeed Indonesia, you can compare the effects of market volatilities on Jakarta Int and Japfa Comfeed 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 Jakarta Int with a short position of Japfa Comfeed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jakarta Int and Japfa Comfeed.
Diversification Opportunities for Jakarta Int and Japfa Comfeed
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Jakarta and Japfa is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding Jakarta Int Hotels and Japfa Comfeed Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Japfa Comfeed Indonesia and Jakarta Int 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 Jakarta Int Hotels are associated (or correlated) with Japfa Comfeed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Japfa Comfeed Indonesia has no effect on the direction of Jakarta Int i.e., Jakarta Int and Japfa Comfeed go up and down completely randomly.
Pair Corralation between Jakarta Int and Japfa Comfeed
Assuming the 90 days trading horizon Jakarta Int Hotels is expected to under-perform the Japfa Comfeed. In addition to that, Jakarta Int is 2.86 times more volatile than Japfa Comfeed Indonesia. It trades about -0.13 of its total potential returns per unit of risk. Japfa Comfeed Indonesia is currently generating about 0.04 per unit of volatility. If you would invest 194,000 in Japfa Comfeed Indonesia on December 30, 2024 and sell it today you would earn a total of 7,000 from holding Japfa Comfeed Indonesia or generate 3.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Jakarta Int Hotels vs. Japfa Comfeed Indonesia
Performance |
Timeline |
Jakarta Int Hotels |
Japfa Comfeed Indonesia |
Jakarta Int and Japfa Comfeed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jakarta Int and Japfa Comfeed
The main advantage of trading using opposite Jakarta Int and Japfa Comfeed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jakarta Int position performs unexpectedly, Japfa Comfeed 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 Japfa Comfeed will offset losses from the drop in Japfa Comfeed's long position.Jakarta Int vs. Jaya Real Property | Jakarta Int vs. Mnc Land Tbk | Jakarta Int vs. Kawasan Industri Jababeka | Jakarta Int vs. Duta Pertiwi Tbk |
Japfa Comfeed vs. Charoen Pokphand Indonesia | Japfa Comfeed vs. Kalbe Farma Tbk | Japfa Comfeed vs. Indofood Cbp Sukses | Japfa Comfeed vs. PT Indofood 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Other Complementary Tools
Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance |