Correlation Between Microsoft and UMWELTBANK

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

By analyzing existing cross correlation between Microsoft and UMWELTBANK, you can compare the effects of market volatilities on Microsoft and UMWELTBANK 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 UMWELTBANK. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and UMWELTBANK.

Diversification Opportunities for Microsoft and UMWELTBANK

0.72

Correlation Coefficient

Microsoft  UMWELTBANK

Poor diversification

The 3 months correlation between Microsoft and UMWELTBANK is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and UMWELTBANK in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UMWELTBANK 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 UMWELTBANK. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UMWELTBANK has no effect on the direction of Microsoft i.e., Microsoft and UMWELTBANK go up and down completely randomly.

Pair Corralation between Microsoft and UMWELTBANK

Assuming the 90 days trading horizon Microsoft is expected to generate 0.95 times more return on investment than UMWELTBANK. However, Microsoft is 1.05 times less risky than UMWELTBANK. It trades about 0.0 of its potential returns per unit of risk. UMWELTBANK is currently generating about -0.03 per unit of risk. If you would invest  42,361  in Microsoft on September 27, 2024 and sell it today you would lose (516.00) from holding Microsoft or give up 1.22% of portfolio value over 90 days.

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

Microsoft  vs.  UMWELTBANK

Microsoft

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Microsoft are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, Microsoft may actually be approaching a critical reversion point that can send shares even higher in January 2025.

UMWELTBANK

Risk-Adjusted Performance

16 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in UMWELTBANK are ranked lower than 16 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain forward-looking signals, UMWELTBANK unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Microsoft and UMWELTBANK

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

The idea behind Microsoft and UMWELTBANK 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.