Correlation Between Jakarta Int and Bekasi Fajar
Can any of the company-specific risk be diversified away by investing in both Jakarta Int and Bekasi Fajar 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 Bekasi Fajar 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 Bekasi Fajar Industrial, you can compare the effects of market volatilities on Jakarta Int and Bekasi Fajar 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 Bekasi Fajar. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jakarta Int and Bekasi Fajar.
Diversification Opportunities for Jakarta Int and Bekasi Fajar
-0.81 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Jakarta and Bekasi is -0.81. Overlapping area represents the amount of risk that can be diversified away by holding Jakarta Int Hotels and Bekasi Fajar Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bekasi Fajar Industrial 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 Bekasi Fajar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bekasi Fajar Industrial has no effect on the direction of Jakarta Int i.e., Jakarta Int and Bekasi Fajar go up and down completely randomly.
Pair Corralation between Jakarta Int and Bekasi Fajar
Assuming the 90 days trading horizon Jakarta Int Hotels is expected to generate 5.69 times more return on investment than Bekasi Fajar. However, Jakarta Int is 5.69 times more volatile than Bekasi Fajar Industrial. It trades about 0.35 of its potential returns per unit of risk. Bekasi Fajar Industrial is currently generating about -0.29 per unit of risk. If you would invest 95,000 in Jakarta Int Hotels on September 5, 2024 and sell it today you would earn a total of 106,000 from holding Jakarta Int Hotels or generate 111.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 95.45% |
Values | Daily Returns |
Jakarta Int Hotels vs. Bekasi Fajar Industrial
Performance |
Timeline |
Jakarta Int Hotels |
Bekasi Fajar Industrial |
Jakarta Int and Bekasi Fajar Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jakarta Int and Bekasi Fajar
The main advantage of trading using opposite Jakarta Int and Bekasi Fajar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jakarta Int position performs unexpectedly, Bekasi Fajar 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 Bekasi Fajar will offset losses from the drop in Bekasi Fajar's long position.Jakarta Int vs. Asuransi Harta Aman | Jakarta Int vs. Indosterling Technomedia Tbk | Jakarta Int vs. Indosat Tbk | Jakarta Int vs. Bank Negara Indonesia |
Bekasi Fajar vs. Mitra Pinasthika Mustika | Bekasi Fajar vs. Jakarta Int Hotels | Bekasi Fajar vs. Asuransi Harta Aman | Bekasi Fajar vs. Indosterling Technomedia Tbk |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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