Correlation Between Crown Holdings and Scientific Games
Can any of the company-specific risk be diversified away by investing in both Crown Holdings and Scientific Games 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 Crown Holdings and Scientific Games into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Crown Holdings and Scientific Games, you can compare the effects of market volatilities on Crown Holdings and Scientific Games 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 Crown Holdings with a short position of Scientific Games. Check out your portfolio center. Please also check ongoing floating volatility patterns of Crown Holdings and Scientific Games.
Diversification Opportunities for Crown Holdings and Scientific Games
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Crown and Scientific is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Crown Holdings and Scientific Games in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Scientific Games and Crown Holdings 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 Crown Holdings are associated (or correlated) with Scientific Games. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Scientific Games has no effect on the direction of Crown Holdings i.e., Crown Holdings and Scientific Games go up and down completely randomly.
Pair Corralation between Crown Holdings and Scientific Games
Assuming the 90 days horizon Crown Holdings is expected to under-perform the Scientific Games. But the stock apears to be less risky and, when comparing its historical volatility, Crown Holdings is 1.65 times less risky than Scientific Games. The stock trades about -0.55 of its potential returns per unit of risk. The Scientific Games is currently generating about -0.32 of returns per unit of risk over similar time horizon. If you would invest 8,850 in Scientific Games on October 11, 2024 and sell it today you would lose (700.00) from holding Scientific Games or give up 7.91% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 94.44% |
Values | Daily Returns |
Crown Holdings vs. Scientific Games
Performance |
Timeline |
Crown Holdings |
Scientific Games |
Crown Holdings and Scientific Games Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Crown Holdings and Scientific Games
The main advantage of trading using opposite Crown Holdings and Scientific Games positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Crown Holdings position performs unexpectedly, Scientific Games 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 Scientific Games will offset losses from the drop in Scientific Games' long position.Crown Holdings vs. Scientific Games | Crown Holdings vs. HK Electric Investments | Crown Holdings vs. DETALION GAMES SA | Crown Holdings vs. Hochschild Mining plc |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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