Correlation Between Ally Financial and SLM Corp
Can any of the company-specific risk be diversified away by investing in both Ally Financial and SLM Corp 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 Ally Financial and SLM Corp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ally Financial and SLM Corp, you can compare the effects of market volatilities on Ally Financial and SLM Corp 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 Ally Financial with a short position of SLM Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ally Financial and SLM Corp.
Diversification Opportunities for Ally Financial and SLM Corp
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ally and SLM is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Ally Financial and SLM Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SLM Corp and Ally 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 Ally Financial are associated (or correlated) with SLM Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SLM Corp has no effect on the direction of Ally Financial i.e., Ally Financial and SLM Corp go up and down completely randomly.
Pair Corralation between Ally Financial and SLM Corp
Given the investment horizon of 90 days Ally Financial is expected to generate 5.41 times less return on investment than SLM Corp. But when comparing it to its historical volatility, Ally Financial is 1.34 times less risky than SLM Corp. It trades about 0.04 of its potential returns per unit of risk. SLM Corp is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 2,245 in SLM Corp on September 27, 2024 and sell it today you would earn a total of 569.00 from holding SLM Corp or generate 25.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Ally Financial vs. SLM Corp
Performance |
Timeline |
Ally Financial |
SLM Corp |
Ally Financial and SLM Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ally Financial and SLM Corp
The main advantage of trading using opposite Ally Financial and SLM Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ally Financial position performs unexpectedly, SLM Corp 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 SLM Corp will offset losses from the drop in SLM Corp's long position.The idea behind Ally Financial and SLM Corp 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.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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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