Correlation Between Sharing Economy and Fuse Science

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

By analyzing existing cross correlation between Sharing Economy International and Fuse Science, you can compare the effects of market volatilities on Sharing Economy and Fuse Science 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 Sharing Economy with a short position of Fuse Science. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sharing Economy and Fuse Science.

Diversification Opportunities for Sharing Economy and Fuse Science

0.0

Correlation Coefficient

Sharing Economy  Fuse Science

Pay attention - limited upside

The 3 months correlation between Sharing and Fuse is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Sharing Economy International and Fuse Science in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fuse Science and Sharing Economy 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 Sharing Economy International are associated (or correlated) with Fuse Science. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fuse Science has no effect on the direction of Sharing Economy i.e., Sharing Economy and Fuse Science go up and down completely randomly.

Pair Corralation between Sharing Economy and Fuse Science

If you would invest  0.28  in Fuse Science on May 13, 2025 and sell it today you would earn a total of  0.05  from holding Fuse Science or generate 17.86% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	0.0%
Values	Daily Returns

Sharing Economy International  vs.  Fuse Science

Sharing Economy Inte

Risk-Adjusted Performance

Weakest

Over the last 90 days Sharing Economy International has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fairly strong forward indicators, Sharing Economy is not utilizing all of its potentials. The latest stock price confusion, may contribute to short-horizon losses for the traders.

Fuse Science

Risk-Adjusted Performance

Fair

Compared to the overall equity markets, risk-adjusted returns on investments in Fuse Science are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Even with relatively weak basic indicators, Fuse Science reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Sharing Economy and Fuse Science

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

The idea behind Sharing Economy International and Fuse Science 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.

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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.