Correlation Between Scientific Games and United States
Can any of the company-specific risk be diversified away by investing in both Scientific Games and United States 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 Scientific Games and United States into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Scientific Games and United States Cellular, you can compare the effects of market volatilities on Scientific Games and United States 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 Scientific Games with a short position of United States. Check out your portfolio center. Please also check ongoing floating volatility patterns of Scientific Games and United States.
Diversification Opportunities for Scientific Games and United States
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Scientific and United is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Scientific Games and United States Cellular in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United States Cellular and Scientific Games 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 Scientific Games are associated (or correlated) with United States. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United States Cellular has no effect on the direction of Scientific Games i.e., Scientific Games and United States go up and down completely randomly.
Pair Corralation between Scientific Games and United States
Assuming the 90 days horizon Scientific Games is expected to generate 3.86 times less return on investment than United States. But when comparing it to its historical volatility, Scientific Games is 2.46 times less risky than United States. It trades about 0.06 of its potential returns per unit of risk. United States Cellular is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 1,310 in United States Cellular on October 24, 2024 and sell it today you would earn a total of 4,840 from holding United States Cellular or generate 369.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Scientific Games vs. United States Cellular
Performance |
Timeline |
Scientific Games |
United States Cellular |
Scientific Games and United States Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Scientific Games and United States
The main advantage of trading using opposite Scientific Games and United States positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Scientific Games position performs unexpectedly, United States 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 United States will offset losses from the drop in United States' long position.Scientific Games vs. AOI Electronics Co | Scientific Games vs. Nanjing Panda Electronics | Scientific Games vs. Maple Leaf Foods | Scientific Games vs. Richardson Electronics |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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