Correlation Between Integra Indocabinet and PP Presisi
Can any of the company-specific risk be diversified away by investing in both Integra Indocabinet and PP Presisi 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 Integra Indocabinet and PP Presisi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Integra Indocabinet Tbk and PP Presisi Tbk, you can compare the effects of market volatilities on Integra Indocabinet and PP Presisi 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 Integra Indocabinet with a short position of PP Presisi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Integra Indocabinet and PP Presisi.
Diversification Opportunities for Integra Indocabinet and PP Presisi
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Integra and PPRE is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Integra Indocabinet Tbk and PP Presisi Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PP Presisi Tbk and Integra Indocabinet 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 Integra Indocabinet Tbk are associated (or correlated) with PP Presisi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PP Presisi Tbk has no effect on the direction of Integra Indocabinet i.e., Integra Indocabinet and PP Presisi go up and down completely randomly.
Pair Corralation between Integra Indocabinet and PP Presisi
Assuming the 90 days trading horizon Integra Indocabinet Tbk is expected to generate 1.48 times more return on investment than PP Presisi. However, Integra Indocabinet is 1.48 times more volatile than PP Presisi Tbk. It trades about 0.16 of its potential returns per unit of risk. PP Presisi Tbk is currently generating about -0.17 per unit of risk. If you would invest 23,600 in Integra Indocabinet Tbk on September 13, 2024 and sell it today you would earn a total of 11,200 from holding Integra Indocabinet Tbk or generate 47.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Integra Indocabinet Tbk vs. PP Presisi Tbk
Performance |
Timeline |
Integra Indocabinet Tbk |
PP Presisi Tbk |
Integra Indocabinet and PP Presisi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Integra Indocabinet and PP Presisi
The main advantage of trading using opposite Integra Indocabinet and PP Presisi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Integra Indocabinet position performs unexpectedly, PP Presisi 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 PP Presisi will offset losses from the drop in PP Presisi's long position.Integra Indocabinet vs. Pembangunan Graha Lestari | Integra Indocabinet vs. Pembangunan Jaya Ancol | Integra Indocabinet vs. Hotel Sahid Jaya | Integra Indocabinet vs. Mitrabara Adiperdana PT |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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