Correlation Between Microsoft and Krakatau Steel
Can any of the company-specific risk be diversified away by investing in both Microsoft and Krakatau Steel 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 Krakatau Steel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Krakatau Steel Persero, you can compare the effects of market volatilities on Microsoft and Krakatau Steel 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 Krakatau Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Krakatau Steel.
Diversification Opportunities for Microsoft and Krakatau Steel
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Microsoft and Krakatau is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Krakatau Steel Persero in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Krakatau Steel Persero 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 Krakatau Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Krakatau Steel Persero has no effect on the direction of Microsoft i.e., Microsoft and Krakatau Steel go up and down completely randomly.
Pair Corralation between Microsoft and Krakatau Steel
Given the investment horizon of 90 days Microsoft is expected to generate 0.62 times more return on investment than Krakatau Steel. However, Microsoft is 1.62 times less risky than Krakatau Steel. It trades about -0.05 of its potential returns per unit of risk. Krakatau Steel Persero is currently generating about -0.36 per unit of risk. If you would invest 42,574 in Microsoft on August 27, 2024 and sell it today you would lose (874.00) from holding Microsoft or give up 2.05% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. Krakatau Steel Persero
Performance |
Timeline |
Microsoft |
Krakatau Steel Persero |
Microsoft and Krakatau Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Krakatau Steel
The main advantage of trading using opposite Microsoft and Krakatau Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Krakatau Steel 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 Krakatau Steel will offset losses from the drop in Krakatau Steel's long position.Microsoft vs. GigaCloud Technology Class | Microsoft vs. Arqit Quantum | Microsoft vs. Cemtrex | Microsoft vs. Paysafe |
Krakatau Steel vs. Timah Persero Tbk | Krakatau Steel vs. Garuda Indonesia Persero | Krakatau Steel vs. Jasa Marga Tbk | Krakatau Steel vs. Semen Indonesia Persero |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Other Complementary Tools
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
Share Portfolio Track or share privately all of your investments from the convenience of any device | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |