Correlation Between Synchrony Financial and Blackstone
Can any of the company-specific risk be diversified away by investing in both Synchrony Financial and Blackstone 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 Synchrony Financial and Blackstone into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Synchrony Financial and Blackstone Group, you can compare the effects of market volatilities on Synchrony Financial and Blackstone 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 Synchrony Financial with a short position of Blackstone. Check out your portfolio center. Please also check ongoing floating volatility patterns of Synchrony Financial and Blackstone.
Diversification Opportunities for Synchrony Financial and Blackstone
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Synchrony and Blackstone is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Synchrony Financial and Blackstone Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Blackstone Group and Synchrony Financial 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 Synchrony Financial are associated (or correlated) with Blackstone. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Blackstone Group has no effect on the direction of Synchrony Financial i.e., Synchrony Financial and Blackstone go up and down completely randomly.
Pair Corralation between Synchrony Financial and Blackstone
Considering the 90-day investment horizon Synchrony Financial is expected to under-perform the Blackstone. But the stock apears to be less risky and, when comparing its historical volatility, Synchrony Financial is 1.06 times less risky than Blackstone. The stock trades about -0.15 of its potential returns per unit of risk. The Blackstone Group is currently generating about -0.14 of returns per unit of risk over similar time horizon. If you would invest 17,059 in Blackstone Group on December 30, 2024 and sell it today you would lose (3,248) from holding Blackstone Group or give up 19.04% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Synchrony Financial vs. Blackstone Group
Performance |
Timeline |
Synchrony Financial |
Blackstone Group |
Synchrony Financial and Blackstone Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Synchrony Financial and Blackstone
The main advantage of trading using opposite Synchrony Financial and Blackstone positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Synchrony Financial position performs unexpectedly, Blackstone 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 Blackstone will offset losses from the drop in Blackstone's long position.Synchrony Financial vs. Capital One Financial | Synchrony Financial vs. American Express | Synchrony Financial vs. Ally Financial | Synchrony Financial vs. Mastercard |
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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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