Correlation Between Jakarta Int and Saratoga Investama
Can any of the company-specific risk be diversified away by investing in both Jakarta Int and Saratoga Investama 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 Saratoga Investama 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 Saratoga Investama Sedaya, you can compare the effects of market volatilities on Jakarta Int and Saratoga Investama 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 Saratoga Investama. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jakarta Int and Saratoga Investama.
Diversification Opportunities for Jakarta Int and Saratoga Investama
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Jakarta and Saratoga is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding Jakarta Int Hotels and Saratoga Investama Sedaya in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Saratoga Investama Sedaya 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 Saratoga Investama. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Saratoga Investama Sedaya has no effect on the direction of Jakarta Int i.e., Jakarta Int and Saratoga Investama go up and down completely randomly.
Pair Corralation between Jakarta Int and Saratoga Investama
Assuming the 90 days trading horizon Jakarta Int Hotels is expected to generate 2.02 times more return on investment than Saratoga Investama. However, Jakarta Int is 2.02 times more volatile than Saratoga Investama Sedaya. It trades about 0.36 of its potential returns per unit of risk. Saratoga Investama Sedaya is currently generating about 0.03 per unit of risk. If you would invest 33,400 in Jakarta Int Hotels on September 4, 2024 and sell it today you would earn a total of 167,600 from holding Jakarta Int Hotels or generate 501.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Jakarta Int Hotels vs. Saratoga Investama Sedaya
Performance |
Timeline |
Jakarta Int Hotels |
Saratoga Investama Sedaya |
Jakarta Int and Saratoga Investama Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jakarta Int and Saratoga Investama
The main advantage of trading using opposite Jakarta Int and Saratoga Investama positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jakarta Int position performs unexpectedly, Saratoga Investama 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 Saratoga Investama will offset losses from the drop in Saratoga Investama'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 |
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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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