Correlation Between 1inch and NLG

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

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

Diversification Opportunities for 1inch and NLG

0.36

Correlation Coefficient

1inch  NLG

Weak diversification

The 3 months correlation between 1inch and NLG is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding 1inch and NLG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NLG and 1inch 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 1inch are associated (or correlated) with NLG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NLG has no effect on the direction of 1inch i.e., 1inch and NLG go up and down completely randomly.

Pair Corralation between 1inch and NLG

If you would invest  22.00  in 1inch on September 2, 2024 and sell it today you would earn a total of  22.00  from holding 1inch or generate 100.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	1.52%
Values	Daily Returns

1inch  vs.  NLG

1inch

Risk-Adjusted Performance

16 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in 1inch are ranked lower than 16 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, 1inch exhibited solid returns over the last few months and may actually be approaching a breakup point.

NLG

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days NLG has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound technical and fundamental indicators, NLG is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Pair Trading with 1inch and NLG

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

The idea behind 1inch and NLG 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.