Correlation Between Microsoft and AURUBIS
Can any of the company-specific risk be diversified away by investing in both Microsoft and AURUBIS 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 AURUBIS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and AURUBIS, you can compare the effects of market volatilities on Microsoft and AURUBIS 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 AURUBIS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and AURUBIS.
Diversification Opportunities for Microsoft and AURUBIS
Pay attention - limited upside
The 3 months correlation between Microsoft and AURUBIS is -0.85. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and AURUBIS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AURUBIS 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 AURUBIS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AURUBIS has no effect on the direction of Microsoft i.e., Microsoft and AURUBIS go up and down completely randomly.
Pair Corralation between Microsoft and AURUBIS
Assuming the 90 days trading horizon Microsoft is expected to under-perform the AURUBIS. But the stock apears to be less risky and, when comparing its historical volatility, Microsoft is 1.38 times less risky than AURUBIS. The stock trades about -0.16 of its potential returns per unit of risk. The AURUBIS is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 7,725 in AURUBIS on December 23, 2024 and sell it today you would earn a total of 1,230 from holding AURUBIS or generate 15.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. AURUBIS
Performance |
Timeline |
Microsoft |
AURUBIS |
Microsoft and AURUBIS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and AURUBIS
The main advantage of trading using opposite Microsoft and AURUBIS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, AURUBIS 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 AURUBIS will offset losses from the drop in AURUBIS's long position.The idea behind Microsoft and AURUBIS 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.AURUBIS vs. Nok Airlines PCL | AURUBIS vs. Air Lease | AURUBIS vs. CarsalesCom | AURUBIS vs. MARKET VECTR RETAIL |
Check out your portfolio center.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.
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