Correlation Between Gudang Garam and Argha Karya
Can any of the company-specific risk be diversified away by investing in both Gudang Garam and Argha Karya 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 Gudang Garam and Argha Karya into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gudang Garam Tbk and Argha Karya Prima, you can compare the effects of market volatilities on Gudang Garam and Argha Karya 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 Gudang Garam with a short position of Argha Karya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gudang Garam and Argha Karya.
Diversification Opportunities for Gudang Garam and Argha Karya
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Gudang and Argha is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Gudang Garam Tbk and Argha Karya Prima in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Argha Karya Prima and Gudang Garam 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 Gudang Garam Tbk are associated (or correlated) with Argha Karya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Argha Karya Prima has no effect on the direction of Gudang Garam i.e., Gudang Garam and Argha Karya go up and down completely randomly.
Pair Corralation between Gudang Garam and Argha Karya
Assuming the 90 days trading horizon Gudang Garam Tbk is expected to under-perform the Argha Karya. But the stock apears to be less risky and, when comparing its historical volatility, Gudang Garam Tbk is 2.48 times less risky than Argha Karya. The stock trades about -0.14 of its potential returns per unit of risk. The Argha Karya Prima is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 68,000 in Argha Karya Prima on September 13, 2024 and sell it today you would lose (8,000) from holding Argha Karya Prima or give up 11.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Gudang Garam Tbk vs. Argha Karya Prima
Performance |
Timeline |
Gudang Garam Tbk |
Argha Karya Prima |
Gudang Garam and Argha Karya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gudang Garam and Argha Karya
The main advantage of trading using opposite Gudang Garam and Argha Karya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gudang Garam position performs unexpectedly, Argha Karya 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 Argha Karya will offset losses from the drop in Argha Karya's long position.Gudang Garam vs. Hanjaya Mandala Sampoerna | Gudang Garam vs. Unilever Indonesia Tbk | Gudang Garam vs. PT Indofood Sukses | Gudang Garam vs. United Tractors Tbk |
Argha Karya vs. Asiaplast Industries Tbk | Argha Karya vs. Alumindo Light Metal | Argha Karya vs. Berlina Tbk | Argha Karya vs. Anugerah Kagum Karya |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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