Correlation Between LRN and JAR
Can any of the company-specific risk be diversified away by investing in both LRN and JAR 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 LRN and JAR into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LRN and JAR, you can compare the effects of market volatilities on LRN and JAR 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 LRN with a short position of JAR. Check out your portfolio center. Please also check ongoing floating volatility patterns of LRN and JAR.
Diversification Opportunities for LRN and JAR
Weak diversification
The 3 months correlation between LRN and JAR is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding LRN and JAR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JAR and LRN 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 LRN are associated (or correlated) with JAR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JAR has no effect on the direction of LRN i.e., LRN and JAR go up and down completely randomly.
Pair Corralation between LRN and JAR
Assuming the 90 days trading horizon LRN is expected to generate 2.46 times more return on investment than JAR. However, LRN is 2.46 times more volatile than JAR. It trades about 0.1 of its potential returns per unit of risk. JAR is currently generating about 0.16 per unit of risk. If you would invest 0.22 in LRN on August 30, 2024 and sell it today you would earn a total of 0.03 from holding LRN or generate 12.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
LRN vs. JAR
Performance |
Timeline |
LRN |
JAR |
LRN and JAR Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LRN and JAR
The main advantage of trading using opposite LRN and JAR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LRN position performs unexpectedly, JAR 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 JAR will offset losses from the drop in JAR's long position.The idea behind LRN and JAR 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
Other Complementary Tools
CEOs Directory Screen CEOs from public companies around the world | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity |