Correlation Between QURATE RETAIL and INTERSHOP Communications
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By analyzing existing cross correlation between QURATE RETAIL INC and INTERSHOP Communications Aktiengesellschaft, you can compare the effects of market volatilities on QURATE RETAIL and INTERSHOP Communications 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 QURATE RETAIL with a short position of INTERSHOP Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of QURATE RETAIL and INTERSHOP Communications.
Diversification Opportunities for QURATE RETAIL and INTERSHOP Communications
-0.74 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between QURATE and INTERSHOP is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding QURATE RETAIL INC and INTERSHOP Communications Aktie in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on INTERSHOP Communications and QURATE 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 QURATE RETAIL INC are associated (or correlated) with INTERSHOP Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of INTERSHOP Communications has no effect on the direction of QURATE RETAIL i.e., QURATE RETAIL and INTERSHOP Communications go up and down completely randomly.
Pair Corralation between QURATE RETAIL and INTERSHOP Communications
Assuming the 90 days trading horizon QURATE RETAIL INC is expected to under-perform the INTERSHOP Communications. In addition to that, QURATE RETAIL is 1.42 times more volatile than INTERSHOP Communications Aktiengesellschaft. It trades about 0.0 of its total potential returns per unit of risk. INTERSHOP Communications Aktiengesellschaft is currently generating about 0.02 per unit of volatility. If you would invest 168.00 in INTERSHOP Communications Aktiengesellschaft on September 15, 2024 and sell it today you would earn a total of 3.00 from holding INTERSHOP Communications Aktiengesellschaft or generate 1.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
QURATE RETAIL INC vs. INTERSHOP Communications Aktie
Performance |
Timeline |
QURATE RETAIL INC |
INTERSHOP Communications |
QURATE RETAIL and INTERSHOP Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with QURATE RETAIL and INTERSHOP Communications
The main advantage of trading using opposite QURATE RETAIL and INTERSHOP Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if QURATE RETAIL position performs unexpectedly, INTERSHOP Communications 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 INTERSHOP Communications will offset losses from the drop in INTERSHOP Communications' long position.QURATE RETAIL vs. Tencent Holdings | QURATE RETAIL vs. Baidu Inc | QURATE RETAIL vs. Alibaba Group Holdings | QURATE RETAIL vs. BYD Company Limited |
INTERSHOP Communications vs. Superior Plus Corp | INTERSHOP Communications vs. SIVERS SEMICONDUCTORS AB | INTERSHOP Communications vs. Norsk Hydro ASA | INTERSHOP Communications vs. Reliance Steel Aluminum |
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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