Correlation Between Microsoft and LG DAX

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

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

Diversification Opportunities for Microsoft and LG DAX

-0.73

Correlation Coefficient

Microsoft  LG DAX

Pay attention - limited upside

The 3 months correlation between Microsoft and DES2 is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and LG DAX Daily in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG DAX Daily and Microsoft 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 Microsoft are associated (or correlated) with LG DAX. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LG DAX Daily has no effect on the direction of Microsoft i.e., Microsoft and LG DAX go up and down completely randomly.

Pair Corralation between Microsoft and LG DAX

Given the investment horizon of 90 days Microsoft is expected to generate 0.83 times more return on investment than LG DAX. However, Microsoft is 1.2 times less risky than LG DAX. It trades about 0.18 of its potential returns per unit of risk. LG DAX Daily is currently generating about -0.18 per unit of risk. If you would invest  41,700  in Microsoft on September 23, 2024 and sell it today you would earn a total of  1,960  from holding Microsoft or generate 4.7% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Weak
Accuracy	95.45%
Values	Daily Returns

Microsoft  vs.  LG DAX Daily

Microsoft

Risk-Adjusted Performance

1 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Microsoft are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable technical and fundamental indicators, Microsoft is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.

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 latest fragile performance, the Etf's basic indicators remain stable and the current disturbance on Wall Street may also be a sign of long-run gains for the Exchange Traded Fund stockholders.

Pair Trading with Microsoft and LG DAX

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

The idea behind Microsoft and LG DAX Daily 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.