Correlation Between Microsoft and LB Investment
Can any of the company-specific risk be diversified away by investing in both Microsoft and LB Investment 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 LB Investment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and LB Investment, you can compare the effects of market volatilities on Microsoft and LB Investment 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 LB Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and LB Investment.
Diversification Opportunities for Microsoft and LB Investment
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between Microsoft and 309960 is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and LB Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LB Investment 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 LB Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LB Investment has no effect on the direction of Microsoft i.e., Microsoft and LB Investment go up and down completely randomly.
Pair Corralation between Microsoft and LB Investment
Given the investment horizon of 90 days Microsoft is expected to generate 1.24 times more return on investment than LB Investment. However, Microsoft is 1.24 times more volatile than LB Investment. It trades about 0.19 of its potential returns per unit of risk. LB Investment is currently generating about -0.2 per unit of risk. If you would invest 40,554 in Microsoft on September 1, 2024 and sell it today you would earn a total of 1,792 from holding Microsoft or generate 4.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
Microsoft vs. LB Investment
Performance |
Timeline |
Microsoft |
LB Investment |
Microsoft and LB Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and LB Investment
The main advantage of trading using opposite Microsoft and LB Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, LB Investment 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 LB Investment will offset losses from the drop in LB Investment's long position.Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Block Inc | Microsoft vs. Adobe Systems Incorporated |
LB Investment vs. iNtRON Biotechnology | LB Investment vs. BGF Retail Co | LB Investment vs. Daishin Information Communications | LB Investment vs. Shinsegae Information Communication |
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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Other Complementary Tools
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities |