Correlation Between Spark Networks and Trivago NV
Can any of the company-specific risk be diversified away by investing in both Spark Networks and Trivago NV 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 Spark Networks and Trivago NV into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Spark Networks SE and Trivago NV, you can compare the effects of market volatilities on Spark Networks and Trivago NV 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 Spark Networks with a short position of Trivago NV. Check out your portfolio center. Please also check ongoing floating volatility patterns of Spark Networks and Trivago NV.
Diversification Opportunities for Spark Networks and Trivago NV
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Spark and Trivago is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Spark Networks SE and Trivago NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Trivago NV and Spark Networks 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 Spark Networks SE are associated (or correlated) with Trivago NV. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Trivago NV has no effect on the direction of Spark Networks i.e., Spark Networks and Trivago NV go up and down completely randomly.
Pair Corralation between Spark Networks and Trivago NV
Considering the 90-day investment horizon Spark Networks SE is expected to under-perform the Trivago NV. In addition to that, Spark Networks is 3.16 times more volatile than Trivago NV. It trades about -0.04 of its total potential returns per unit of risk. Trivago NV is currently generating about 0.0 per unit of volatility. If you would invest 352.00 in Trivago NV on November 4, 2024 and sell it today you would lose (69.00) from holding Trivago NV or give up 19.6% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 22.63% |
| Values | Daily Returns |
Spark Networks SE vs. Trivago NV
Performance |
| Timeline |
| Spark Networks SE |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
| Trivago NV |
Spark Networks and Trivago NV Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Spark Networks and Trivago NV
The main advantage of trading using opposite Spark Networks and Trivago NV positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Spark Networks position performs unexpectedly, Trivago NV 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 Trivago NV will offset losses from the drop in Trivago NV's long position.| Spark Networks vs. Locafy Limited | Spark Networks vs. Metalpha Technology Holding | Spark Networks vs. TuanChe ADR | Spark Networks vs. Thryv Holdings |
| Trivago NV vs. Upexi Inc | Trivago NV vs. Cheetah Mobile | Trivago NV vs. Comscore | Trivago NV vs. EverQuote Class A |
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 File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
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