Correlation Between TFS FINANCIAL and National Retail
Can any of the company-specific risk be diversified away by investing in both TFS FINANCIAL and National Retail 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 TFS FINANCIAL and National Retail into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TFS FINANCIAL and National Retail Properties, you can compare the effects of market volatilities on TFS FINANCIAL and National Retail 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 TFS FINANCIAL with a short position of National Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of TFS FINANCIAL and National Retail.
Diversification Opportunities for TFS FINANCIAL and National Retail
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between TFS and National is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding TFS FINANCIAL and National Retail Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Retail Prop and TFS 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 TFS FINANCIAL are associated (or correlated) with National Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Retail Prop has no effect on the direction of TFS FINANCIAL i.e., TFS FINANCIAL and National Retail go up and down completely randomly.
Pair Corralation between TFS FINANCIAL and National Retail
Assuming the 90 days trading horizon TFS FINANCIAL is expected to generate 1.28 times more return on investment than National Retail. However, TFS FINANCIAL is 1.28 times more volatile than National Retail Properties. It trades about 0.09 of its potential returns per unit of risk. National Retail Properties is currently generating about -0.04 per unit of risk. If you would invest 1,155 in TFS FINANCIAL on September 19, 2024 and sell it today you would earn a total of 115.00 from holding TFS FINANCIAL or generate 9.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
TFS FINANCIAL vs. National Retail Properties
Performance |
Timeline |
TFS FINANCIAL |
National Retail Prop |
TFS FINANCIAL and National Retail Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TFS FINANCIAL and National Retail
The main advantage of trading using opposite TFS FINANCIAL and National Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TFS FINANCIAL position performs unexpectedly, National Retail 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 National Retail will offset losses from the drop in National Retail's long position.TFS FINANCIAL vs. CPU SOFTWAREHOUSE | TFS FINANCIAL vs. ATOSS SOFTWARE | TFS FINANCIAL vs. Lendlease Group | TFS FINANCIAL vs. DISTRICT METALS |
National Retail vs. Ameriprise Financial | National Retail vs. TFS FINANCIAL | National Retail vs. Austevoll Seafood ASA | National Retail vs. MAVEN WIRELESS SWEDEN |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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