Correlation Between Jakarta Int and Bukit Asam
Can any of the company-specific risk be diversified away by investing in both Jakarta Int and Bukit Asam 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 Bukit Asam 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 Bukit Asam Tbk, you can compare the effects of market volatilities on Jakarta Int and Bukit Asam 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 Bukit Asam. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jakarta Int and Bukit Asam.
Diversification Opportunities for Jakarta Int and Bukit Asam
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Jakarta and Bukit is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding Jakarta Int Hotels and Bukit Asam Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bukit Asam Tbk 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 Bukit Asam. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bukit Asam Tbk has no effect on the direction of Jakarta Int i.e., Jakarta Int and Bukit Asam go up and down completely randomly.
Pair Corralation between Jakarta Int and Bukit Asam
Assuming the 90 days trading horizon Jakarta Int Hotels is expected to generate 4.9 times more return on investment than Bukit Asam. However, Jakarta Int is 4.9 times more volatile than Bukit Asam Tbk. It trades about 0.43 of its potential returns per unit of risk. Bukit Asam Tbk is currently generating about -0.02 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 263,200 from holding Jakarta Int Hotels or generate 778.7% 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. Bukit Asam Tbk
Performance |
Timeline |
Jakarta Int Hotels |
Bukit Asam Tbk |
Jakarta Int and Bukit Asam Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jakarta Int and Bukit Asam
The main advantage of trading using opposite Jakarta Int and Bukit Asam positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jakarta Int position performs unexpectedly, Bukit Asam 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 Bukit Asam will offset losses from the drop in Bukit Asam'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 |
Bukit Asam vs. Weha Transportasi Indonesia | Bukit Asam vs. Mitra Pinasthika Mustika | Bukit Asam vs. Jakarta Int Hotels | Bukit Asam vs. Asuransi Harta Aman |
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Other Complementary Tools
Commodity Directory Find actively traded commodities issued by global exchanges | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Money Managers Screen money managers from public funds and ETFs managed around the world | |
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities |