Correlation Between MOGU and 1 800

Can any of the company-specific risk be diversified away by investing in both MOGU and 1 800 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 MOGU and 1 800 into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between MOGU Inc and 1 800 FLOWERSCOM, you can compare the effects of market volatilities on MOGU and 1 800 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 MOGU with a short position of 1 800. Check out your portfolio center. Please also check ongoing floating volatility patterns of MOGU and 1 800.

Diversification Opportunities for MOGU and 1 800

-0.34

Correlation Coefficient

MOGU  1 800

Very good diversification

The 3 months correlation between MOGU and FLWS is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding MOGU Inc and 1 800 FLOWERSCOM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on 1 800 FLOWERSCOM and MOGU 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 MOGU Inc are associated (or correlated) with 1 800. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of 1 800 FLOWERSCOM has no effect on the direction of MOGU i.e., MOGU and 1 800 go up and down completely randomly.

Pair Corralation between MOGU and 1 800

Given the investment horizon of 90 days MOGU is expected to generate 1.91 times less return on investment than 1 800. In addition to that, MOGU is 1.03 times more volatile than 1 800 FLOWERSCOM. It trades about 0.12 of its total potential returns per unit of risk. 1 800 FLOWERSCOM is currently generating about 0.23 per unit of volatility. If you would invest  727.00  in 1 800 FLOWERSCOM on October 24, 2024 and sell it today you would earn a total of  113.00  from holding 1 800 FLOWERSCOM or generate 15.54% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

MOGU Inc  vs.  1 800 FLOWERSCOM

MOGU Inc

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in MOGU Inc are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively abnormal technical and fundamental indicators, MOGU unveiled solid returns over the last few months and may actually be approaching a breakup point.

1 800 FLOWERSCOM

Risk-Adjusted Performance

3 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in 1 800 FLOWERSCOM are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively unsteady basic indicators, 1 800 may actually be approaching a critical reversion point that can send shares even higher in February 2025.

Pair Trading with MOGU and 1 800

The main advantage of trading using opposite MOGU and 1 800 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MOGU position performs unexpectedly, 1 800 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 1 800 will offset losses from the drop in 1 800's long position.

The idea behind MOGU Inc and 1 800 FLOWERSCOM 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.

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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.