Correlation Between Mantle and LUNC
Can any of the company-specific risk be diversified away by investing in both Mantle and LUNC 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 Mantle and LUNC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mantle and LUNC, you can compare the effects of market volatilities on Mantle and LUNC 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 Mantle with a short position of LUNC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mantle and LUNC.
Diversification Opportunities for Mantle and LUNC
Poor diversification
The 3 months correlation between Mantle and LUNC is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Mantle and LUNC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LUNC and Mantle 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 Mantle are associated (or correlated) with LUNC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LUNC has no effect on the direction of Mantle i.e., Mantle and LUNC go up and down completely randomly.
Pair Corralation between Mantle and LUNC
Assuming the 90 days trading horizon Mantle is expected to generate 0.96 times more return on investment than LUNC. However, Mantle is 1.04 times less risky than LUNC. It trades about -0.13 of its potential returns per unit of risk. LUNC is currently generating about -0.17 per unit of risk. If you would invest 125.00 in Mantle on December 30, 2024 and sell it today you would lose (45.00) from holding Mantle or give up 36.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Mantle vs. LUNC
Performance |
Timeline |
Mantle |
LUNC |
Mantle and LUNC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mantle and LUNC
The main advantage of trading using opposite Mantle and LUNC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mantle position performs unexpectedly, LUNC 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 LUNC will offset losses from the drop in LUNC's long position.The idea behind Mantle and LUNC 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 Anywhere module to track or share privately all of your investments from the convenience of any device.
Other Complementary Tools
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories |