Correlation Between Neonode and Ferrovial

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

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

Diversification Opportunities for Neonode and Ferrovial

0.0

Correlation Coefficient

Neonode  Ferrovial

Pay attention - limited upside

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

Pair Corralation between Neonode and Ferrovial

If you would invest  855.00  in Neonode on December 30, 2024 and sell it today you would lose (2.00) from holding Neonode or give up 0.23% of portfolio value over 90 days.

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

Neonode  vs.  Ferrovial

Neonode

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Neonode are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of very healthy basic indicators, Neonode is not utilizing all of its potentials. The recent stock price disarray, may contribute to short-term losses for the investors.

Ferrovial

Risk-Adjusted Performance

Very Weak

Over the last 90 days Ferrovial has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, Ferrovial is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

Pair Trading with Neonode and Ferrovial

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

The idea behind Neonode and Ferrovial 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.