Correlation Between Jakarta Int and Sona Topas
Can any of the company-specific risk be diversified away by investing in both Jakarta Int and Sona Topas 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 Sona Topas 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 Sona Topas Tourism, you can compare the effects of market volatilities on Jakarta Int and Sona Topas 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 Sona Topas. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jakarta Int and Sona Topas.
Diversification Opportunities for Jakarta Int and Sona Topas
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Jakarta and Sona is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Jakarta Int Hotels and Sona Topas Tourism in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sona Topas Tourism 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 Sona Topas. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sona Topas Tourism has no effect on the direction of Jakarta Int i.e., Jakarta Int and Sona Topas go up and down completely randomly.
Pair Corralation between Jakarta Int and Sona Topas
Assuming the 90 days trading horizon Jakarta Int Hotels is expected to under-perform the Sona Topas. But the stock apears to be less risky and, when comparing its historical volatility, Jakarta Int Hotels is 1.45 times less risky than Sona Topas. The stock trades about -0.2 of its potential returns per unit of risk. The Sona Topas Tourism is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 602,500 in Sona Topas Tourism on December 2, 2024 and sell it today you would lose (292,500) from holding Sona Topas Tourism or give up 48.55% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Jakarta Int Hotels vs. Sona Topas Tourism
Performance |
Timeline |
Jakarta Int Hotels |
Sona Topas Tourism |
Jakarta Int and Sona Topas Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jakarta Int and Sona Topas
The main advantage of trading using opposite Jakarta Int and Sona Topas positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jakarta Int position performs unexpectedly, Sona Topas 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 Sona Topas will offset losses from the drop in Sona Topas' 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 |
Sona Topas vs. Kedawung Setia Industrial | Sona Topas vs. PT Charlie Hospital | Sona Topas vs. Metro Healthcare Indonesia | Sona Topas vs. Eastparc Hotel 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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