Correlation Between Saraswanti Anugerah and Gunung Raja
Can any of the company-specific risk be diversified away by investing in both Saraswanti Anugerah and Gunung Raja 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 Saraswanti Anugerah and Gunung Raja into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Saraswanti Anugerah Makmur and Gunung Raja Paksi, you can compare the effects of market volatilities on Saraswanti Anugerah and Gunung Raja 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 Saraswanti Anugerah with a short position of Gunung Raja. Check out your portfolio center. Please also check ongoing floating volatility patterns of Saraswanti Anugerah and Gunung Raja.
Diversification Opportunities for Saraswanti Anugerah and Gunung Raja
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between Saraswanti and Gunung is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding Saraswanti Anugerah Makmur and Gunung Raja Paksi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gunung Raja Paksi and Saraswanti Anugerah 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 Saraswanti Anugerah Makmur are associated (or correlated) with Gunung Raja. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gunung Raja Paksi has no effect on the direction of Saraswanti Anugerah i.e., Saraswanti Anugerah and Gunung Raja go up and down completely randomly.
Pair Corralation between Saraswanti Anugerah and Gunung Raja
Assuming the 90 days trading horizon Saraswanti Anugerah Makmur is expected to under-perform the Gunung Raja. But the stock apears to be less risky and, when comparing its historical volatility, Saraswanti Anugerah Makmur is 12.85 times less risky than Gunung Raja. The stock trades about -0.03 of its potential returns per unit of risk. The Gunung Raja Paksi is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 26,291 in Gunung Raja Paksi on September 5, 2024 and sell it today you would lose (5,091) from holding Gunung Raja Paksi or give up 19.36% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.41% |
Values | Daily Returns |
Saraswanti Anugerah Makmur vs. Gunung Raja Paksi
Performance |
Timeline |
Saraswanti Anugerah |
Gunung Raja Paksi |
Saraswanti Anugerah and Gunung Raja Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Saraswanti Anugerah and Gunung Raja
The main advantage of trading using opposite Saraswanti Anugerah and Gunung Raja positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Saraswanti Anugerah position performs unexpectedly, Gunung Raja 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 Gunung Raja will offset losses from the drop in Gunung Raja's long position.Saraswanti Anugerah vs. Panca Budi Idaman | Saraswanti Anugerah vs. Gunung Raja Paksi | Saraswanti Anugerah vs. Aneka Gas Industri | Saraswanti Anugerah vs. Mark Dynamics Indonesia |
Gunung Raja vs. Gunawan Dianjaya Steel | Gunung Raja vs. Steel Pipe Industry | Gunung Raja vs. Ifishdeco PT | Gunung Raja vs. Saraswanti Anugerah Makmur |
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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