Correlation Between Jakarta Int and Central Proteina
Can any of the company-specific risk be diversified away by investing in both Jakarta Int and Central Proteina 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 Central Proteina 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 Central Proteina Prima, you can compare the effects of market volatilities on Jakarta Int and Central Proteina 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 Central Proteina. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jakarta Int and Central Proteina.
Diversification Opportunities for Jakarta Int and Central Proteina
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between Jakarta and Central is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding Jakarta Int Hotels and Central Proteina Prima in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Central Proteina Prima 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 Central Proteina. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Central Proteina Prima has no effect on the direction of Jakarta Int i.e., Jakarta Int and Central Proteina go up and down completely randomly.
Pair Corralation between Jakarta Int and Central Proteina
Assuming the 90 days trading horizon Jakarta Int Hotels is expected to generate 8.8 times more return on investment than Central Proteina. However, Jakarta Int is 8.8 times more volatile than Central Proteina Prima. It trades about 0.4 of its potential returns per unit of risk. Central Proteina Prima is currently generating about 0.0 per unit of risk. If you would invest 33,800 in Jakarta Int Hotels on September 3, 2024 and sell it today you would earn a total of 211,200 from holding Jakarta Int Hotels or generate 624.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Jakarta Int Hotels vs. Central Proteina Prima
Performance |
Timeline |
Jakarta Int Hotels |
Central Proteina Prima |
Jakarta Int and Central Proteina Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jakarta Int and Central Proteina
The main advantage of trading using opposite Jakarta Int and Central Proteina positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jakarta Int position performs unexpectedly, Central Proteina 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 Central Proteina will offset losses from the drop in Central Proteina's long position.Jakarta Int vs. Mitra Pinasthika Mustika | Jakarta Int vs. Asuransi Harta Aman | Jakarta Int vs. Indosterling Technomedia Tbk | Jakarta Int vs. Indosat Tbk |
Central Proteina vs. Bakrie Brothers Tbk | Central Proteina vs. Bakrieland Development Tbk | Central Proteina vs. Darma Henwa Tbk | Central Proteina vs. Bakrie Sumatera Plantations |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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