Correlation Between Salesforce and Honeywell International
Can any of the company-specific risk be diversified away by investing in both Salesforce and Honeywell International 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 Salesforce and Honeywell International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between salesforce inc and Honeywell International, you can compare the effects of market volatilities on Salesforce and Honeywell International 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 Salesforce with a short position of Honeywell International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Salesforce and Honeywell International.
Diversification Opportunities for Salesforce and Honeywell International
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Salesforce and Honeywell is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding salesforce inc and Honeywell International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Honeywell International and Salesforce 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 salesforce inc are associated (or correlated) with Honeywell International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Honeywell International has no effect on the direction of Salesforce i.e., Salesforce and Honeywell International go up and down completely randomly.
Pair Corralation between Salesforce and Honeywell International
Assuming the 90 days trading horizon salesforce inc is expected to generate 1.17 times more return on investment than Honeywell International. However, Salesforce is 1.17 times more volatile than Honeywell International. It trades about 0.12 of its potential returns per unit of risk. Honeywell International is currently generating about 0.04 per unit of risk. If you would invest 3,072 in salesforce inc on September 12, 2024 and sell it today you would earn a total of 6,477 from holding salesforce inc or generate 210.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 76.15% |
Values | Daily Returns |
salesforce inc vs. Honeywell International
Performance |
Timeline |
salesforce inc |
Honeywell International |
Salesforce and Honeywell International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Salesforce and Honeywell International
The main advantage of trading using opposite Salesforce and Honeywell International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Salesforce position performs unexpectedly, Honeywell International 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 Honeywell International will offset losses from the drop in Honeywell International's long position.Salesforce vs. Fundo Investimento Imobiliario | Salesforce vs. LESTE FDO INV | Salesforce vs. Fras le SA | Salesforce vs. Western Digital |
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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.
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