Correlation Between Jakarta Int and Bank Tabungan
Can any of the company-specific risk be diversified away by investing in both Jakarta Int and Bank Tabungan 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 Bank Tabungan 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 Bank Tabungan Negara, you can compare the effects of market volatilities on Jakarta Int and Bank Tabungan 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 Bank Tabungan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jakarta Int and Bank Tabungan.
Diversification Opportunities for Jakarta Int and Bank Tabungan
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Jakarta and Bank is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Jakarta Int Hotels and Bank Tabungan Negara in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Tabungan Negara 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 Bank Tabungan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Tabungan Negara has no effect on the direction of Jakarta Int i.e., Jakarta Int and Bank Tabungan go up and down completely randomly.
Pair Corralation between Jakarta Int and Bank Tabungan
Assuming the 90 days trading horizon Jakarta Int Hotels is expected to under-perform the Bank Tabungan. In addition to that, Jakarta Int is 4.17 times more volatile than Bank Tabungan Negara. It trades about -0.2 of its total potential returns per unit of risk. Bank Tabungan Negara is currently generating about -0.31 per unit of volatility. If you would invest 122,000 in Bank Tabungan Negara on December 2, 2024 and sell it today you would lose (37,000) from holding Bank Tabungan Negara or give up 30.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Jakarta Int Hotels vs. Bank Tabungan Negara
Performance |
Timeline |
Jakarta Int Hotels |
Bank Tabungan Negara |
Jakarta Int and Bank Tabungan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jakarta Int and Bank Tabungan
The main advantage of trading using opposite Jakarta Int and Bank Tabungan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jakarta Int position performs unexpectedly, Bank Tabungan 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 Bank Tabungan will offset losses from the drop in Bank Tabungan'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 |
Bank Tabungan vs. Bank Negara Indonesia | Bank Tabungan vs. Bank Mandiri Persero | Bank Tabungan vs. Bank Jabar | Bank Tabungan vs. Jasa Marga 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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