Correlation Between ABL and JAR
Can any of the company-specific risk be diversified away by investing in both ABL 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 ABL and JAR into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ABL and JAR, you can compare the effects of market volatilities on ABL 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 ABL with a short position of JAR. Check out your portfolio center. Please also check ongoing floating volatility patterns of ABL and JAR.
Diversification Opportunities for ABL and JAR
Poor diversification
The 3 months correlation between ABL and JAR is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding ABL and JAR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JAR and ABL 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 ABL 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 ABL i.e., ABL and JAR go up and down completely randomly.
Pair Corralation between ABL and JAR
If you would invest 0.23 in JAR on September 1, 2024 and sell it today you would earn a total of 0.16 from holding JAR or generate 67.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 1.54% |
Values | Daily Returns |
ABL vs. JAR
Performance |
Timeline |
ABL |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
JAR |
ABL and JAR Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ABL and JAR
The main advantage of trading using opposite ABL and JAR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ABL 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 ABL 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 Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Other Complementary Tools
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |