Correlation Between LG DAX and JPMorgan ETFs

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

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

Diversification Opportunities for LG DAX and JPMorgan ETFs

-0.6

Correlation Coefficient

LG DAX  JPMorgan ETFs

Excellent diversification

The 3 months correlation between DES2 and JPMorgan is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding LG DAX Daily and JPMorgan ETFs ICAV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JPMorgan ETFs ICAV and LG DAX 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 LG DAX Daily are associated (or correlated) with JPMorgan ETFs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JPMorgan ETFs ICAV has no effect on the direction of LG DAX i.e., LG DAX and JPMorgan ETFs go up and down completely randomly.

Pair Corralation between LG DAX and JPMorgan ETFs

Assuming the 90 days trading horizon LG DAX Daily is expected to under-perform the JPMorgan ETFs. In addition to that, LG DAX is 3.99 times more volatile than JPMorgan ETFs ICAV. It trades about -0.04 of its total potential returns per unit of risk. JPMorgan ETFs ICAV is currently generating about 0.28 per unit of volatility. If you would invest  9,974  in JPMorgan ETFs ICAV on September 29, 2024 and sell it today you would earn a total of  663.00  from holding JPMorgan ETFs ICAV or generate 6.65% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Weak
Accuracy	98.41%
Values	Daily Returns

LG DAX Daily  vs.  JPMorgan ETFs ICAV

LG DAX Daily

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days LG DAX Daily has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, LG DAX is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

JPMorgan ETFs ICAV

Risk-Adjusted Performance

21 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in JPMorgan ETFs ICAV are ranked lower than 21 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, JPMorgan ETFs may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Pair Trading with LG DAX and JPMorgan ETFs

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

The idea behind LG DAX Daily and JPMorgan ETFs ICAV 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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.