Correlation Between KEISEI EL and Microsoft
Can any of the company-specific risk be diversified away by investing in both KEISEI EL and Microsoft 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 KEISEI EL and Microsoft into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KEISEI EL RAILWAY and Microsoft, you can compare the effects of market volatilities on KEISEI EL and Microsoft 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 KEISEI EL with a short position of Microsoft. Check out your portfolio center. Please also check ongoing floating volatility patterns of KEISEI EL and Microsoft.
Diversification Opportunities for KEISEI EL and Microsoft
Modest diversification
The 3 months correlation between KEISEI and Microsoft is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding KEISEI EL RAILWAY and Microsoft in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Microsoft and KEISEI EL 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 KEISEI EL RAILWAY are associated (or correlated) with Microsoft. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Microsoft has no effect on the direction of KEISEI EL i.e., KEISEI EL and Microsoft go up and down completely randomly.
Pair Corralation between KEISEI EL and Microsoft
Assuming the 90 days trading horizon KEISEI EL RAILWAY is expected to under-perform the Microsoft. In addition to that, KEISEI EL is 10.89 times more volatile than Microsoft. It trades about -0.23 of its total potential returns per unit of risk. Microsoft is currently generating about 0.19 per unit of volatility. If you would invest 39,845 in Microsoft on September 25, 2024 and sell it today you would earn a total of 2,120 from holding Microsoft or generate 5.32% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
KEISEI EL RAILWAY vs. Microsoft
Performance |
| Timeline |
| KEISEI EL RAILWAY |
| Microsoft |
KEISEI EL and Microsoft Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with KEISEI EL and Microsoft
The main advantage of trading using opposite KEISEI EL and Microsoft positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KEISEI EL position performs unexpectedly, Microsoft 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 Microsoft will offset losses from the drop in Microsoft's long position.The idea behind KEISEI EL RAILWAY and Microsoft 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.| Microsoft vs. American Public Education | Microsoft vs. G8 EDUCATION | Microsoft vs. TAL Education Group | Microsoft vs. ETFS Coffee ETC |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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