Correlation Between Microsoft and CHIBA BANK
Can any of the company-specific risk be diversified away by investing in both Microsoft and CHIBA BANK 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 CHIBA BANK into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and CHIBA BANK, you can compare the effects of market volatilities on Microsoft and CHIBA BANK 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 CHIBA BANK. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and CHIBA BANK.
Diversification Opportunities for Microsoft and CHIBA BANK
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Microsoft and CHIBA is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and CHIBA BANK in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CHIBA BANK 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 CHIBA BANK. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CHIBA BANK has no effect on the direction of Microsoft i.e., Microsoft and CHIBA BANK go up and down completely randomly.
Pair Corralation between Microsoft and CHIBA BANK
Assuming the 90 days trading horizon Microsoft is expected to generate 0.45 times more return on investment than CHIBA BANK. However, Microsoft is 2.25 times less risky than CHIBA BANK. It trades about -0.01 of its potential returns per unit of risk. CHIBA BANK is currently generating about -0.01 per unit of risk. If you would invest 42,027 in Microsoft on September 29, 2024 and sell it today you would lose (987.00) from holding Microsoft or give up 2.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. CHIBA BANK
Performance |
Timeline |
Microsoft |
CHIBA BANK |
Microsoft and CHIBA BANK Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and CHIBA BANK
The main advantage of trading using opposite Microsoft and CHIBA BANK positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, CHIBA BANK 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 CHIBA BANK will offset losses from the drop in CHIBA BANK's long position.Microsoft vs. X FAB Silicon Foundries | Microsoft vs. SEKISUI CHEMICAL | Microsoft vs. 24SEVENOFFICE GROUP AB | Microsoft vs. International Consolidated Airlines |
CHIBA BANK vs. Hyster Yale Materials Handling | CHIBA BANK vs. FUTURE GAMING GRP | CHIBA BANK vs. Penn National Gaming | CHIBA BANK vs. GigaMedia |
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Other Complementary Tools
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
Stocks Directory Find actively traded stocks across global markets | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |