Correlation Between Sumber Alfaria and Jakarta Int
Can any of the company-specific risk be diversified away by investing in both Sumber Alfaria and Jakarta Int 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 Sumber Alfaria and Jakarta Int into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sumber Alfaria Trijaya and Jakarta Int Hotels, you can compare the effects of market volatilities on Sumber Alfaria and Jakarta Int 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 Sumber Alfaria with a short position of Jakarta Int. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sumber Alfaria and Jakarta Int.
Diversification Opportunities for Sumber Alfaria and Jakarta Int
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Sumber and Jakarta is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Sumber Alfaria Trijaya and Jakarta Int Hotels in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jakarta Int Hotels and Sumber Alfaria 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 Sumber Alfaria Trijaya are associated (or correlated) with Jakarta Int. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jakarta Int Hotels has no effect on the direction of Sumber Alfaria i.e., Sumber Alfaria and Jakarta Int go up and down completely randomly.
Pair Corralation between Sumber Alfaria and Jakarta Int
Assuming the 90 days trading horizon Sumber Alfaria Trijaya is expected to generate 0.51 times more return on investment than Jakarta Int. However, Sumber Alfaria Trijaya is 1.97 times less risky than Jakarta Int. It trades about -0.15 of its potential returns per unit of risk. Jakarta Int Hotels is currently generating about -0.13 per unit of risk. If you would invest 285,000 in Sumber Alfaria Trijaya on December 30, 2024 and sell it today you would lose (80,000) from holding Sumber Alfaria Trijaya or give up 28.07% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sumber Alfaria Trijaya vs. Jakarta Int Hotels
Performance |
Timeline |
Sumber Alfaria Trijaya |
Jakarta Int Hotels |
Sumber Alfaria and Jakarta Int Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sumber Alfaria and Jakarta Int
The main advantage of trading using opposite Sumber Alfaria and Jakarta Int positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sumber Alfaria position performs unexpectedly, Jakarta Int 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 Jakarta Int will offset losses from the drop in Jakarta Int's long position.Sumber Alfaria vs. Elang Mahkota Teknologi | Sumber Alfaria vs. Ace Hardware Indonesia | Sumber Alfaria vs. BFI Finance Indonesia | Sumber Alfaria vs. Tower Bersama Infrastructure |
Jakarta Int vs. Jaya Real Property | Jakarta Int vs. Mnc Land Tbk | Jakarta Int vs. Kawasan Industri Jababeka | Jakarta Int vs. Duta Pertiwi Tbk |
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 Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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