Correlation Between Microsoft and Hong Yi
Can any of the company-specific risk be diversified away by investing in both Microsoft and Hong Yi 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 Hong Yi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Hong Yi Fiber, you can compare the effects of market volatilities on Microsoft and Hong Yi 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 Hong Yi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Hong Yi.
Diversification Opportunities for Microsoft and Hong Yi
Good diversification
The 3 months correlation between Microsoft and Hong is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Hong Yi Fiber in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hong Yi Fiber 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 Hong Yi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hong Yi Fiber has no effect on the direction of Microsoft i.e., Microsoft and Hong Yi go up and down completely randomly.
Pair Corralation between Microsoft and Hong Yi
Given the investment horizon of 90 days Microsoft is expected to generate 1.66 times more return on investment than Hong Yi. However, Microsoft is 1.66 times more volatile than Hong Yi Fiber. It trades about 0.05 of its potential returns per unit of risk. Hong Yi Fiber is currently generating about -0.13 per unit of risk. If you would invest 40,862 in Microsoft on September 3, 2024 and sell it today you would earn a total of 1,484 from holding Microsoft or generate 3.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Microsoft vs. Hong Yi Fiber
Performance |
Timeline |
Microsoft |
Hong Yi Fiber |
Microsoft and Hong Yi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Hong Yi
The main advantage of trading using opposite Microsoft and Hong Yi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Hong Yi 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 Hong Yi will offset losses from the drop in Hong Yi's long position.Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Block Inc | Microsoft vs. Adobe Systems Incorporated |
Hong Yi vs. Yi Jinn Industrial | Hong Yi vs. Zig Sheng Industrial | Hong Yi vs. Lan Fa Textile | Hong Yi vs. Tainan Spinning Co |
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 Commodity Directory module to find actively traded commodities issued by global exchanges.
Other Complementary Tools
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities | |
Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA |