Correlation Between FirstCash and SLM Corp
Can any of the company-specific risk be diversified away by investing in both FirstCash 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 FirstCash and SLM Corp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FirstCash and SLM Corp Pb, you can compare the effects of market volatilities on FirstCash 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 FirstCash with a short position of SLM Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of FirstCash and SLM Corp.
Diversification Opportunities for FirstCash and SLM Corp
Very good diversification
The 3 months correlation between FirstCash and SLM is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding FirstCash and SLM Corp Pb in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SLM Corp Pb and FirstCash 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 FirstCash 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 Pb has no effect on the direction of FirstCash i.e., FirstCash and SLM Corp go up and down completely randomly.
Pair Corralation between FirstCash and SLM Corp
Given the investment horizon of 90 days FirstCash is expected to under-perform the SLM Corp. In addition to that, FirstCash is 2.13 times more volatile than SLM Corp Pb. It trades about 0.0 of its total potential returns per unit of risk. SLM Corp Pb is currently generating about 0.08 per unit of volatility. If you would invest 7,272 in SLM Corp Pb on May 3, 2025 and sell it today you would earn a total of 278.00 from holding SLM Corp Pb or generate 3.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
FirstCash vs. SLM Corp Pb
Performance |
Timeline |
FirstCash |
SLM Corp Pb |
FirstCash and SLM Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FirstCash and SLM Corp
The main advantage of trading using opposite FirstCash and SLM Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FirstCash 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 FirstCash and SLM Corp Pb 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.SLM Corp vs. Federal Agricultural Mortgage | SLM Corp vs. Orix Corp Ads | SLM Corp vs. Atlanticus Holdings Corp | SLM Corp vs. Nelnet Inc |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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