Correlation Between SC and Near
Can any of the company-specific risk be diversified away by investing in both SC and Near 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 SC and Near into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SC and Near, you can compare the effects of market volatilities on SC and Near 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 SC with a short position of Near. Check out your portfolio center. Please also check ongoing floating volatility patterns of SC and Near.
Diversification Opportunities for SC and Near
Almost no diversification
The 3 months correlation between SC and Near is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding SC and Near in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Near and SC 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 SC are associated (or correlated) with Near. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Near has no effect on the direction of SC i.e., SC and Near go up and down completely randomly.
Pair Corralation between SC and Near
Assuming the 90 days horizon SC is expected to generate 1.07 times less return on investment than Near. But when comparing it to its historical volatility, SC is 1.19 times less risky than Near. It trades about 0.22 of its potential returns per unit of risk. Near is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 389.00 in Near on September 3, 2024 and sell it today you would earn a total of 312.00 from holding Near or generate 80.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SC vs. Near
Performance |
Timeline |
SC |
Near |
SC and Near Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SC and Near
The main advantage of trading using opposite SC and Near positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SC position performs unexpectedly, Near 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 Near will offset losses from the drop in Near's long position.The idea behind SC and Near 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 CEOs Directory module to screen CEOs from public companies around the world.
Other Complementary Tools
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine |