Correlation Between Quantitative and Jpmorgan Research

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

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

Diversification Opportunities for Quantitative and Jpmorgan Research

0.81

Correlation Coefficient

Quantitative  Jpmorgan Research

Very poor diversification

The 3 months correlation between Quantitative and Jpmorgan is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Quantitative Longshort Equity and Jpmorgan Research Market in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jpmorgan Research Market and Quantitative 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 Quantitative Longshort Equity are associated (or correlated) with Jpmorgan Research. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jpmorgan Research Market has no effect on the direction of Quantitative i.e., Quantitative and Jpmorgan Research go up and down completely randomly.

Pair Corralation between Quantitative and Jpmorgan Research

Assuming the 90 days horizon Quantitative Longshort Equity is expected to under-perform the Jpmorgan Research. In addition to that, Quantitative is 3.25 times more volatile than Jpmorgan Research Market. It trades about -0.03 of its total potential returns per unit of risk. Jpmorgan Research Market is currently generating about 0.0 per unit of volatility. If you would invest  1,574  in Jpmorgan Research Market on October 24, 2024 and sell it today you would earn a total of  1.00  from holding Jpmorgan Research Market or generate 0.06% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	100.0%
Values	Daily Returns

Quantitative Longshort Equity  vs.  Jpmorgan Research Market

Quantitative Longshort

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Quantitative Longshort Equity has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Quantitative is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Jpmorgan Research Market

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Jpmorgan Research Market has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Jpmorgan Research is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Quantitative and Jpmorgan Research

The main advantage of trading using opposite Quantitative and Jpmorgan Research positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Quantitative position performs unexpectedly, Jpmorgan Research 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 Jpmorgan Research will offset losses from the drop in Jpmorgan Research's long position.

The idea behind Quantitative Longshort Equity and Jpmorgan Research Market 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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.