Correlation Between Indah Kiat and Putra Rajawali
Can any of the company-specific risk be diversified away by investing in both Indah Kiat and Putra Rajawali 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 Indah Kiat and Putra Rajawali into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Indah Kiat Pulp and Putra Rajawali Kencana, you can compare the effects of market volatilities on Indah Kiat and Putra Rajawali 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 Indah Kiat with a short position of Putra Rajawali. Check out your portfolio center. Please also check ongoing floating volatility patterns of Indah Kiat and Putra Rajawali.
Diversification Opportunities for Indah Kiat and Putra Rajawali
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Indah and Putra is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Indah Kiat Pulp and Putra Rajawali Kencana in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putra Rajawali Kencana and Indah Kiat 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 Indah Kiat Pulp are associated (or correlated) with Putra Rajawali. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Putra Rajawali Kencana has no effect on the direction of Indah Kiat i.e., Indah Kiat and Putra Rajawali go up and down completely randomly.
Pair Corralation between Indah Kiat and Putra Rajawali
Assuming the 90 days trading horizon Indah Kiat Pulp is expected to generate 0.31 times more return on investment than Putra Rajawali. However, Indah Kiat Pulp is 3.26 times less risky than Putra Rajawali. It trades about -0.15 of its potential returns per unit of risk. Putra Rajawali Kencana is currently generating about -0.09 per unit of risk. If you would invest 827,500 in Indah Kiat Pulp on September 15, 2024 and sell it today you would lose (112,500) from holding Indah Kiat Pulp or give up 13.6% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Indah Kiat Pulp vs. Putra Rajawali Kencana
Performance |
Timeline |
Indah Kiat Pulp |
Putra Rajawali Kencana |
Indah Kiat and Putra Rajawali Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Indah Kiat and Putra Rajawali
The main advantage of trading using opposite Indah Kiat and Putra Rajawali positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Indah Kiat position performs unexpectedly, Putra Rajawali 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 Putra Rajawali will offset losses from the drop in Putra Rajawali's long position.Indah Kiat vs. Kedaung Indah Can | Indah Kiat vs. Kabelindo Murni Tbk | Indah Kiat vs. Champion Pacific Indonesia | Indah Kiat vs. Bhuwanatala Indah Permai |
Putra Rajawali vs. PT Trimuda Nuansa | Putra Rajawali vs. Yelooo Integra Datanet | Putra Rajawali vs. Transcoal Pacific Tbk | Putra Rajawali vs. Weha Transportasi Indonesia |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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