Correlation Between Indointernet Tbk and PT Multi
Can any of the company-specific risk be diversified away by investing in both Indointernet Tbk and PT Multi 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 Indointernet Tbk and PT Multi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Indointernet Tbk PT and PT Multi Garam, you can compare the effects of market volatilities on Indointernet Tbk and PT Multi 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 Indointernet Tbk with a short position of PT Multi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Indointernet Tbk and PT Multi.
Diversification Opportunities for Indointernet Tbk and PT Multi
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Indointernet and FOLK is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding Indointernet Tbk PT and PT Multi Garam in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Multi Garam and Indointernet Tbk 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 Indointernet Tbk PT are associated (or correlated) with PT Multi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Multi Garam has no effect on the direction of Indointernet Tbk i.e., Indointernet Tbk and PT Multi go up and down completely randomly.
Pair Corralation between Indointernet Tbk and PT Multi
Assuming the 90 days trading horizon Indointernet Tbk PT is expected to under-perform the PT Multi. But the stock apears to be less risky and, when comparing its historical volatility, Indointernet Tbk PT is 2.9 times less risky than PT Multi. The stock trades about -0.17 of its potential returns per unit of risk. The PT Multi Garam is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 5,200 in PT Multi Garam on September 14, 2024 and sell it today you would lose (200.00) from holding PT Multi Garam or give up 3.85% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Indointernet Tbk PT vs. PT Multi Garam
Performance |
Timeline |
Indointernet Tbk |
PT Multi Garam |
Indointernet Tbk and PT Multi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Indointernet Tbk and PT Multi
The main advantage of trading using opposite Indointernet Tbk and PT Multi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Indointernet Tbk position performs unexpectedly, PT Multi 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 Multi will offset losses from the drop in PT Multi's long position.Indointernet Tbk vs. DCI Indonesia Tbk | Indointernet Tbk vs. Digital Mediatama Maxima | Indointernet Tbk vs. Multipolar Technology Tbk | Indointernet Tbk vs. Bank Net Indonesia |
PT Multi vs. Victoria Insurance Tbk | PT Multi vs. Nanotech Indonesia Global | PT Multi vs. Indointernet Tbk PT | PT Multi vs. Tera Data Indonusa |
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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