Correlation Between Microsoft and KB HOME
Can any of the company-specific risk be diversified away by investing in both Microsoft and KB HOME 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 KB HOME into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and KB HOME, you can compare the effects of market volatilities on Microsoft and KB HOME 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 KB HOME. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and KB HOME.
Diversification Opportunities for Microsoft and KB HOME
Very good diversification
The 3 months correlation between Microsoft and KBH is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and KB HOME in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KB HOME 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 KB HOME. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KB HOME has no effect on the direction of Microsoft i.e., Microsoft and KB HOME go up and down completely randomly.
Pair Corralation between Microsoft and KB HOME
Assuming the 90 days trading horizon Microsoft is expected to generate 0.53 times more return on investment than KB HOME. However, Microsoft is 1.87 times less risky than KB HOME. It trades about 0.39 of its potential returns per unit of risk. KB HOME is currently generating about -0.25 per unit of risk. If you would invest 39,352 in Microsoft on September 19, 2024 and sell it today you would earn a total of 3,728 from holding Microsoft or generate 9.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Microsoft vs. KB HOME
Performance |
Timeline |
Microsoft |
KB HOME |
Microsoft and KB HOME Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and KB HOME
The main advantage of trading using opposite Microsoft and KB HOME positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, KB HOME 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 KB HOME will offset losses from the drop in KB HOME's long position.Microsoft vs. MUTUIONLINE | Microsoft vs. Evolution Mining Limited | Microsoft vs. BE Semiconductor Industries | Microsoft vs. PACIFIC ONLINE |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Other Complementary Tools
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments |