Correlation Between Citra Putra and Arkha Jayanti
Can any of the company-specific risk be diversified away by investing in both Citra Putra and Arkha Jayanti 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 Citra Putra and Arkha Jayanti into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citra Putra Realty and Arkha Jayanti Persada, you can compare the effects of market volatilities on Citra Putra and Arkha Jayanti 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 Citra Putra with a short position of Arkha Jayanti. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citra Putra and Arkha Jayanti.
Diversification Opportunities for Citra Putra and Arkha Jayanti
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Citra and Arkha is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Citra Putra Realty and Arkha Jayanti Persada in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Arkha Jayanti Persada and Citra Putra 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 Citra Putra Realty are associated (or correlated) with Arkha Jayanti. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Arkha Jayanti Persada has no effect on the direction of Citra Putra i.e., Citra Putra and Arkha Jayanti go up and down completely randomly.
Pair Corralation between Citra Putra and Arkha Jayanti
Assuming the 90 days trading horizon Citra Putra Realty is expected to generate 0.4 times more return on investment than Arkha Jayanti. However, Citra Putra Realty is 2.49 times less risky than Arkha Jayanti. It trades about -0.27 of its potential returns per unit of risk. Arkha Jayanti Persada is currently generating about -0.79 per unit of risk. If you would invest 36,000 in Citra Putra Realty on February 7, 2024 and sell it today you would lose (3,000) from holding Citra Putra Realty or give up 8.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 93.33% |
Values | Daily Returns |
Citra Putra Realty vs. Arkha Jayanti Persada
Performance |
Timeline |
Citra Putra Realty |
Arkha Jayanti Persada |
Citra Putra and Arkha Jayanti Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Citra Putra and Arkha Jayanti
The main advantage of trading using opposite Citra Putra and Arkha Jayanti positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citra Putra position performs unexpectedly, Arkha Jayanti 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 Arkha Jayanti will offset losses from the drop in Arkha Jayanti's long position.Citra Putra vs. Andalan Sakti PrimaindoPT | Citra Putra vs. Bumi Benowo Sukses | Citra Putra vs. Bima Sakti Pertiwi | Citra Putra vs. Agro Yasa Lestari |
Arkha Jayanti vs. Berkah Prima Perkasa | Arkha Jayanti vs. Jasnita Telekomindo Tbk | Arkha Jayanti vs. Darmi Bersaudara Tbk | Arkha Jayanti vs. Agro Yasa Lestari |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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