Correlation Between ThredUp and Coupang LLC
Can any of the company-specific risk be diversified away by investing in both ThredUp and Coupang LLC 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 ThredUp and Coupang LLC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ThredUp and Coupang LLC, you can compare the effects of market volatilities on ThredUp and Coupang LLC 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 ThredUp with a short position of Coupang LLC. Check out your portfolio center. Please also check ongoing floating volatility patterns of ThredUp and Coupang LLC.
Diversification Opportunities for ThredUp and Coupang LLC
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between ThredUp and Coupang is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding ThredUp and Coupang LLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Coupang LLC and ThredUp 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 ThredUp are associated (or correlated) with Coupang LLC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Coupang LLC has no effect on the direction of ThredUp i.e., ThredUp and Coupang LLC go up and down completely randomly.
Pair Corralation between ThredUp and Coupang LLC
Given the investment horizon of 90 days ThredUp is expected to generate 4.24 times more return on investment than Coupang LLC. However, ThredUp is 4.24 times more volatile than Coupang LLC. It trades about 0.05 of its potential returns per unit of risk. Coupang LLC is currently generating about 0.05 per unit of risk. If you would invest 198.00 in ThredUp on September 1, 2024 and sell it today you would lose (25.00) from holding ThredUp or give up 12.63% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ThredUp vs. Coupang LLC
Performance |
Timeline |
ThredUp |
Coupang LLC |
ThredUp and Coupang LLC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ThredUp and Coupang LLC
The main advantage of trading using opposite ThredUp and Coupang LLC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ThredUp position performs unexpectedly, Coupang LLC 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 Coupang LLC will offset losses from the drop in Coupang LLC's long position.The idea behind ThredUp and Coupang LLC pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Coupang LLC vs. PDD Holdings | Coupang LLC vs. JD Inc Adr | Coupang LLC vs. Alibaba Group Holding | Coupang LLC vs. Sea |
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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