Correlation Between National Retail and Sixt Leasing
Can any of the company-specific risk be diversified away by investing in both National Retail and Sixt Leasing 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 National Retail and Sixt Leasing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between National Retail Properties and Sixt Leasing SE, you can compare the effects of market volatilities on National Retail and Sixt Leasing 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 National Retail with a short position of Sixt Leasing. Check out your portfolio center. Please also check ongoing floating volatility patterns of National Retail and Sixt Leasing.
Diversification Opportunities for National Retail and Sixt Leasing
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between National and Sixt is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding National Retail Properties and Sixt Leasing SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sixt Leasing SE and National Retail 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 National Retail Properties are associated (or correlated) with Sixt Leasing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sixt Leasing SE has no effect on the direction of National Retail i.e., National Retail and Sixt Leasing go up and down completely randomly.
Pair Corralation between National Retail and Sixt Leasing
Assuming the 90 days trading horizon National Retail Properties is expected to generate 1.18 times more return on investment than Sixt Leasing. However, National Retail is 1.18 times more volatile than Sixt Leasing SE. It trades about -0.01 of its potential returns per unit of risk. Sixt Leasing SE is currently generating about -0.14 per unit of risk. If you would invest 4,249 in National Retail Properties on August 28, 2024 and sell it today you would lose (69.00) from holding National Retail Properties or give up 1.62% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
National Retail Properties vs. Sixt Leasing SE
Performance |
| Timeline |
| National Retail Prop |
| Sixt Leasing SE |
National Retail and Sixt Leasing Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with National Retail and Sixt Leasing
The main advantage of trading using opposite National Retail and Sixt Leasing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if National Retail position performs unexpectedly, Sixt Leasing 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 Sixt Leasing will offset losses from the drop in Sixt Leasing's long position.| National Retail vs. Apple Inc | National Retail vs. Apple Inc | National Retail vs. Apple Inc | National Retail vs. Apple Inc |
| Sixt Leasing vs. Apple Inc | Sixt Leasing vs. Apple Inc | Sixt Leasing vs. Apple Inc | Sixt Leasing vs. Apple 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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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