Correlation Between Sankyo and International Game
Can any of the company-specific risk be diversified away by investing in both Sankyo and International Game 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 Sankyo and International Game into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sankyo Co and International Game Technology, you can compare the effects of market volatilities on Sankyo and International Game 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 Sankyo with a short position of International Game. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sankyo and International Game.
Diversification Opportunities for Sankyo and International Game
-0.03 | Correlation Coefficient |
Good diversification
The 3 months correlation between Sankyo and International is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding Sankyo Co and International Game Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on International Game and Sankyo 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 Sankyo Co are associated (or correlated) with International Game. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of International Game has no effect on the direction of Sankyo i.e., Sankyo and International Game go up and down completely randomly.
Pair Corralation between Sankyo and International Game
Assuming the 90 days horizon Sankyo Co is expected to generate 1.02 times more return on investment than International Game. However, Sankyo is 1.02 times more volatile than International Game Technology. It trades about 0.05 of its potential returns per unit of risk. International Game Technology is currently generating about 0.0 per unit of risk. If you would invest 756.00 in Sankyo Co on September 23, 2024 and sell it today you would earn a total of 484.00 from holding Sankyo Co or generate 64.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sankyo Co vs. International Game Technology
Performance |
Timeline |
Sankyo |
International Game |
Sankyo and International Game Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sankyo and International Game
The main advantage of trading using opposite Sankyo and International Game positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sankyo position performs unexpectedly, International Game 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 International Game will offset losses from the drop in International Game's long position.Sankyo vs. Flutter Entertainment PLC | Sankyo vs. Evolution AB | Sankyo vs. Churchill Downs Incorporated | Sankyo vs. Churchill Downs Incorporated |
International Game vs. Flutter Entertainment PLC | International Game vs. Evolution AB | International Game vs. Churchill Downs Incorporated | International Game vs. Churchill Downs Incorporated |
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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