Correlation Between Saratoga Investama and Diagnos Laboratorium
Can any of the company-specific risk be diversified away by investing in both Saratoga Investama and Diagnos Laboratorium 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 Saratoga Investama and Diagnos Laboratorium into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Saratoga Investama Sedaya and Diagnos Laboratorium Utama, you can compare the effects of market volatilities on Saratoga Investama and Diagnos Laboratorium 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 Saratoga Investama with a short position of Diagnos Laboratorium. Check out your portfolio center. Please also check ongoing floating volatility patterns of Saratoga Investama and Diagnos Laboratorium.
Diversification Opportunities for Saratoga Investama and Diagnos Laboratorium
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Saratoga and Diagnos is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Saratoga Investama Sedaya and Diagnos Laboratorium Utama in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Diagnos Laboratorium and Saratoga Investama 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 Saratoga Investama Sedaya are associated (or correlated) with Diagnos Laboratorium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Diagnos Laboratorium has no effect on the direction of Saratoga Investama i.e., Saratoga Investama and Diagnos Laboratorium go up and down completely randomly.
Pair Corralation between Saratoga Investama and Diagnos Laboratorium
Assuming the 90 days trading horizon Saratoga Investama Sedaya is expected to generate 1.14 times more return on investment than Diagnos Laboratorium. However, Saratoga Investama is 1.14 times more volatile than Diagnos Laboratorium Utama. It trades about -0.01 of its potential returns per unit of risk. Diagnos Laboratorium Utama is currently generating about -0.12 per unit of risk. If you would invest 251,000 in Saratoga Investama Sedaya on September 17, 2024 and sell it today you would lose (16,000) from holding Saratoga Investama Sedaya or give up 6.37% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Saratoga Investama Sedaya vs. Diagnos Laboratorium Utama
Performance |
Timeline |
Saratoga Investama Sedaya |
Diagnos Laboratorium |
Saratoga Investama and Diagnos Laboratorium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Saratoga Investama and Diagnos Laboratorium
The main advantage of trading using opposite Saratoga Investama and Diagnos Laboratorium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Saratoga Investama position performs unexpectedly, Diagnos Laboratorium 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 Diagnos Laboratorium will offset losses from the drop in Diagnos Laboratorium's long position.Saratoga Investama vs. Paninvest Tbk | Saratoga Investama vs. Maskapai Reasuransi Indonesia | Saratoga Investama vs. Panin Sekuritas Tbk | Saratoga Investama vs. Wahana Ottomitra Multiartha |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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