Correlation Between JAR and MLN
Can any of the company-specific risk be diversified away by investing in both JAR and MLN 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 JAR and MLN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JAR and MLN, you can compare the effects of market volatilities on JAR and MLN 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 JAR with a short position of MLN. Check out your portfolio center. Please also check ongoing floating volatility patterns of JAR and MLN.
Diversification Opportunities for JAR and MLN
Very poor diversification
The 3 months correlation between JAR and MLN is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding JAR and MLN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MLN and JAR 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 JAR are associated (or correlated) with MLN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MLN has no effect on the direction of JAR i.e., JAR and MLN go up and down completely randomly.
Pair Corralation between JAR and MLN
Assuming the 90 days trading horizon JAR is expected to under-perform the MLN. But the crypto coin apears to be less risky and, when comparing its historical volatility, JAR is 1.99 times less risky than MLN. The crypto coin trades about -0.01 of its potential returns per unit of risk. The MLN is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 2,443 in MLN on February 7, 2024 and sell it today you would lose (221.00) from holding MLN or give up 9.05% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
JAR vs. MLN
Performance |
Timeline |
JAR |
MLN |
JAR and MLN Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JAR and MLN
The main advantage of trading using opposite JAR and MLN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JAR position performs unexpectedly, MLN 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 MLN will offset losses from the drop in MLN's long position.The idea behind JAR and MLN 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Other Complementary Tools
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets |