Correlation Between JAR and OPEN

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both JAR and OPEN 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 OPEN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JAR and OPEN, you can compare the effects of market volatilities on JAR and OPEN 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 OPEN. Check out your portfolio center. Please also check ongoing floating volatility patterns of JAR and OPEN.

Diversification Opportunities for JAR and OPEN

0.07
  Correlation Coefficient

Significant diversification

The 3 months correlation between JAR and OPEN is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding JAR and OPEN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OPEN 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 OPEN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OPEN has no effect on the direction of JAR i.e., JAR and OPEN go up and down completely randomly.

Pair Corralation between JAR and OPEN

Assuming the 90 days trading horizon JAR is expected to under-perform the OPEN. But the crypto coin apears to be less risky and, when comparing its historical volatility, JAR is 2.09 times less risky than OPEN. The crypto coin trades about -0.24 of its potential returns per unit of risk. The OPEN is currently generating about 0.33 of returns per unit of risk over similar time horizon. If you would invest  0.04  in OPEN on January 25, 2024 and sell it today you would earn a total of  0.03  from holding OPEN or generate 59.16% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

JAR  vs.  OPEN

 Performance 
       Timeline  
JAR 

Risk-Adjusted Performance

11 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in JAR are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, JAR exhibited solid returns over the last few months and may actually be approaching a breakup point.
OPEN 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in OPEN are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, OPEN exhibited solid returns over the last few months and may actually be approaching a breakup point.

JAR and OPEN Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with JAR and OPEN

The main advantage of trading using opposite JAR and OPEN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JAR position performs unexpectedly, OPEN 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 OPEN will offset losses from the drop in OPEN's long position.
The idea behind JAR and OPEN 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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.

Other Complementary Tools

Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets
Global Correlations
Find global opportunities by holding instruments from different markets
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Options Analysis
Analyze and evaluate options and option chains as a potential hedge for your portfolios
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
FinTech Suite
Use AI to screen and filter profitable investment opportunities
Fundamentals Comparison
Compare fundamentals across multiple equities to find investing opportunities