Correlation Between KRAKATAU STEEL and Science Applications
Can any of the company-specific risk be diversified away by investing in both KRAKATAU STEEL and Science Applications 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 KRAKATAU STEEL and Science Applications into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KRAKATAU STEEL B and Science Applications International, you can compare the effects of market volatilities on KRAKATAU STEEL and Science Applications 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 KRAKATAU STEEL with a short position of Science Applications. Check out your portfolio center. Please also check ongoing floating volatility patterns of KRAKATAU STEEL and Science Applications.
Diversification Opportunities for KRAKATAU STEEL and Science Applications
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between KRAKATAU and Science is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding KRAKATAU STEEL B and Science Applications Internati in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Science Applications and KRAKATAU STEEL 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 KRAKATAU STEEL B are associated (or correlated) with Science Applications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Science Applications has no effect on the direction of KRAKATAU STEEL i.e., KRAKATAU STEEL and Science Applications go up and down completely randomly.
Pair Corralation between KRAKATAU STEEL and Science Applications
Assuming the 90 days trading horizon KRAKATAU STEEL B is expected to generate 3.89 times more return on investment than Science Applications. However, KRAKATAU STEEL is 3.89 times more volatile than Science Applications International. It trades about 0.02 of its potential returns per unit of risk. Science Applications International is currently generating about 0.02 per unit of risk. If you would invest 2.70 in KRAKATAU STEEL B on September 26, 2024 and sell it today you would lose (2.10) from holding KRAKATAU STEEL B or give up 77.78% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
KRAKATAU STEEL B vs. Science Applications Internati
Performance |
Timeline |
KRAKATAU STEEL B |
Science Applications |
KRAKATAU STEEL and Science Applications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KRAKATAU STEEL and Science Applications
The main advantage of trading using opposite KRAKATAU STEEL and Science Applications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KRAKATAU STEEL position performs unexpectedly, Science Applications 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 Science Applications will offset losses from the drop in Science Applications' long position.KRAKATAU STEEL vs. Apple Inc | KRAKATAU STEEL vs. Apple Inc | KRAKATAU STEEL vs. Microsoft | KRAKATAU STEEL vs. Microsoft |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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