Correlation Between XS Financial and Regional Management
Can any of the company-specific risk be diversified away by investing in both XS Financial and Regional Management 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 XS Financial and Regional Management into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between XS Financial and Regional Management Corp, you can compare the effects of market volatilities on XS Financial and Regional Management 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 XS Financial with a short position of Regional Management. Check out your portfolio center. Please also check ongoing floating volatility patterns of XS Financial and Regional Management.
Diversification Opportunities for XS Financial and Regional Management
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between XSHLF and Regional is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding XS Financial and Regional Management Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Regional Management Corp and XS 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 XS Financial are associated (or correlated) with Regional Management. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Regional Management Corp has no effect on the direction of XS Financial i.e., XS Financial and Regional Management go up and down completely randomly.
Pair Corralation between XS Financial and Regional Management
Assuming the 90 days horizon XS Financial is expected to under-perform the Regional Management. In addition to that, XS Financial is 5.08 times more volatile than Regional Management Corp. It trades about -0.02 of its total potential returns per unit of risk. Regional Management Corp is currently generating about 0.26 per unit of volatility. If you would invest 2,290 in Regional Management Corp on February 15, 2024 and sell it today you would earn a total of 713.00 from holding Regional Management Corp or generate 31.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 97.62% |
Values | Daily Returns |
XS Financial vs. Regional Management Corp
Performance |
Timeline |
XS Financial |
Regional Management Corp |
XS Financial and Regional Management Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with XS Financial and Regional Management
The main advantage of trading using opposite XS Financial and Regional Management positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if XS Financial position performs unexpectedly, Regional Management 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 Regional Management will offset losses from the drop in Regional Management's long position.XS Financial vs. Visa Class A | XS Financial vs. Mastercard | XS Financial vs. American Express | XS Financial vs. PayPal Holdings |
Regional Management vs. Visa Class A | Regional Management vs. PayPal Holdings | Regional Management vs. Mastercard |
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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