Correlation Between Near and Gas
Can any of the company-specific risk be diversified away by investing in both Near and Gas 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 Near and Gas into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Near and Gas, you can compare the effects of market volatilities on Near and Gas 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 Near with a short position of Gas. Check out your portfolio center. Please also check ongoing floating volatility patterns of Near and Gas.
Diversification Opportunities for Near and Gas
Very poor diversification
The 3 months correlation between Near and Gas is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Near and Gas in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gas and Near 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 Near are associated (or correlated) with Gas. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gas has no effect on the direction of Near i.e., Near and Gas go up and down completely randomly.
Pair Corralation between Near and Gas
Assuming the 90 days trading horizon Near is expected to generate 1.06 times more return on investment than Gas. However, Near is 1.06 times more volatile than Gas. It trades about 0.19 of its potential returns per unit of risk. Gas is currently generating about 0.18 per unit of risk. If you would invest 472.00 in Near on August 24, 2024 and sell it today you would earn a total of 113.00 from holding Near or generate 23.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Near vs. Gas
Performance |
Timeline |
Near |
Gas |
Near and Gas Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Near and Gas
The main advantage of trading using opposite Near and Gas positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Near position performs unexpectedly, Gas 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 Gas will offset losses from the drop in Gas' long position.The idea behind Near and Gas 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 Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
Other Complementary Tools
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes |