Correlation Between Kawasan Industri and PT Sreeya
Can any of the company-specific risk be diversified away by investing in both Kawasan Industri and PT Sreeya 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 Kawasan Industri and PT Sreeya into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kawasan Industri Jababeka and PT Sreeya Sewu, you can compare the effects of market volatilities on Kawasan Industri and PT Sreeya 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 Kawasan Industri with a short position of PT Sreeya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kawasan Industri and PT Sreeya.
Diversification Opportunities for Kawasan Industri and PT Sreeya
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Kawasan and SIPD is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding Kawasan Industri Jababeka and PT Sreeya Sewu in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Sreeya Sewu and Kawasan Industri 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 Kawasan Industri Jababeka are associated (or correlated) with PT Sreeya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Sreeya Sewu has no effect on the direction of Kawasan Industri i.e., Kawasan Industri and PT Sreeya go up and down completely randomly.
Pair Corralation between Kawasan Industri and PT Sreeya
Assuming the 90 days trading horizon Kawasan Industri Jababeka is expected to generate 0.67 times more return on investment than PT Sreeya. However, Kawasan Industri Jababeka is 1.49 times less risky than PT Sreeya. It trades about 0.23 of its potential returns per unit of risk. PT Sreeya Sewu is currently generating about -0.05 per unit of risk. If you would invest 15,200 in Kawasan Industri Jababeka on September 3, 2024 and sell it today you would earn a total of 4,300 from holding Kawasan Industri Jababeka or generate 28.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kawasan Industri Jababeka vs. PT Sreeya Sewu
Performance |
Timeline |
Kawasan Industri Jababeka |
PT Sreeya Sewu |
Kawasan Industri and PT Sreeya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kawasan Industri and PT Sreeya
The main advantage of trading using opposite Kawasan Industri and PT Sreeya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kawasan Industri position performs unexpectedly, PT Sreeya 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 PT Sreeya will offset losses from the drop in PT Sreeya's long position.Kawasan Industri vs. Bakrieland Development Tbk | Kawasan Industri vs. Ciputra Development Tbk | Kawasan Industri vs. Sentul City Tbk | Kawasan Industri vs. Solusi Bangun Indonesia |
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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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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