Correlation Between KARRAT and JAR

Can any of the company-specific risk be diversified away by investing in both KARRAT 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 KARRAT and JAR into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between KARRAT and JAR, you can compare the effects of market volatilities on KARRAT 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 KARRAT with a short position of JAR. Check out your portfolio center. Please also check ongoing floating volatility patterns of KARRAT and JAR.

Diversification Opportunities for KARRAT and JAR

0.07

Correlation Coefficient

KARRAT  JAR

Significant diversification

The 3 months correlation between KARRAT and JAR is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding KARRAT and JAR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JAR and KARRAT 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 KARRAT 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 KARRAT i.e., KARRAT and JAR go up and down completely randomly.

Pair Corralation between KARRAT and JAR

Assuming the 90 days trading horizon KARRAT is expected to generate 3.76 times more return on investment than JAR. However, KARRAT is 3.76 times more volatile than JAR. It trades about 0.27 of its potential returns per unit of risk. JAR is currently generating about 0.04 per unit of risk. If you would invest  57.00  in KARRAT on March 8, 2024 and sell it today you would earn a total of  51.00  from holding KARRAT or generate 89.47% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	95.65%
Values	Daily Returns

KARRAT  vs.  JAR

KARRAT

Risk-Adjusted Performance

10 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in KARRAT are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. Despite somewhat unsteady basic indicators, KARRAT sustained solid returns over the last few months and may actually be approaching a breakup point.

JAR

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days JAR has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, JAR is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Pair Trading with KARRAT and JAR

The main advantage of trading using opposite KARRAT and JAR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KARRAT 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 KARRAT 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.

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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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.