Correlation Between Tempo Inti and Integra Indocabinet
Can any of the company-specific risk be diversified away by investing in both Tempo Inti and Integra Indocabinet 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 Tempo Inti and Integra Indocabinet into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tempo Inti Media and Integra Indocabinet Tbk, you can compare the effects of market volatilities on Tempo Inti and Integra Indocabinet 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 Tempo Inti with a short position of Integra Indocabinet. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tempo Inti and Integra Indocabinet.
Diversification Opportunities for Tempo Inti and Integra Indocabinet
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Tempo and Integra is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Tempo Inti Media and Integra Indocabinet Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Integra Indocabinet Tbk and Tempo Inti 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 Tempo Inti Media are associated (or correlated) with Integra Indocabinet. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Integra Indocabinet Tbk has no effect on the direction of Tempo Inti i.e., Tempo Inti and Integra Indocabinet go up and down completely randomly.
Pair Corralation between Tempo Inti and Integra Indocabinet
Assuming the 90 days trading horizon Tempo Inti Media is expected to generate 1.88 times more return on investment than Integra Indocabinet. However, Tempo Inti is 1.88 times more volatile than Integra Indocabinet Tbk. It trades about 0.04 of its potential returns per unit of risk. Integra Indocabinet Tbk is currently generating about 0.01 per unit of risk. If you would invest 11,500 in Tempo Inti Media on September 29, 2024 and sell it today you would earn a total of 4,800 from holding Tempo Inti Media or generate 41.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.79% |
Values | Daily Returns |
Tempo Inti Media vs. Integra Indocabinet Tbk
Performance |
Timeline |
Tempo Inti Media |
Integra Indocabinet Tbk |
Tempo Inti and Integra Indocabinet Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tempo Inti and Integra Indocabinet
The main advantage of trading using opposite Tempo Inti and Integra Indocabinet positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tempo Inti position performs unexpectedly, Integra Indocabinet 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 Integra Indocabinet will offset losses from the drop in Integra Indocabinet's long position.Tempo Inti vs. Tower Bersama Infrastructure | Tempo Inti vs. Merdeka Copper Gold | Tempo Inti vs. Japfa Comfeed Indonesia | Tempo Inti vs. Indofood Cbp Sukses |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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