Correlation Between Scientific Games and Regions Financial

Can any of the company-specific risk be diversified away by investing in both Scientific Games and Regions Financial 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 Regions Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Scientific Games and Regions Financial, you can compare the effects of market volatilities on Scientific Games and Regions Financial 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 Regions Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Scientific Games and Regions Financial.

Diversification Opportunities for Scientific Games and Regions Financial

0.69

Correlation Coefficient

Scientific Games  Regions Financial

Poor diversification

The 3 months correlation between Scientific and Regions is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Scientific Games and Regions Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Regions Financial 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 Regions Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Regions Financial has no effect on the direction of Scientific Games i.e., Scientific Games and Regions Financial go up and down completely randomly.

Pair Corralation between Scientific Games and Regions Financial

Assuming the 90 days horizon Scientific Games is expected to under-perform the Regions Financial. But the stock apears to be less risky and, when comparing its historical volatility, Scientific Games is 1.05 times less risky than Regions Financial. The stock trades about -0.37 of its potential returns per unit of risk. The Regions Financial is currently generating about -0.34 of returns per unit of risk over similar time horizon. If you would invest  2,500  in Regions Financial on October 7, 2024 and sell it today you would lose (240.00) from holding Regions Financial or give up 9.6% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

Scientific Games  vs.  Regions Financial

Scientific Games

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Scientific Games has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, Scientific Games is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

Regions Financial

Risk-Adjusted Performance

6 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Regions Financial are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Regions Financial may actually be approaching a critical reversion point that can send shares even higher in February 2025.

Pair Trading with Scientific Games and Regions Financial

The main advantage of trading using opposite Scientific Games and Regions Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Scientific Games position performs unexpectedly, Regions Financial 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 Regions Financial will offset losses from the drop in Regions Financial's long position.

The idea behind Scientific Games and Regions Financial pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.