Correlation Between Salesforce and LKQ Corp
Can any of the company-specific risk be diversified away by investing in both Salesforce and LKQ Corp 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 LKQ Corp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Salesforce and LKQ Corp, you can compare the effects of market volatilities on Salesforce and LKQ Corp 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 LKQ Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Salesforce and LKQ Corp.
Diversification Opportunities for Salesforce and LKQ Corp
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Salesforce and LKQ is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Salesforce and LKQ Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LKQ Corp 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 are associated (or correlated) with LKQ Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LKQ Corp has no effect on the direction of Salesforce i.e., Salesforce and LKQ Corp go up and down completely randomly.
Pair Corralation between Salesforce and LKQ Corp
Considering the 90-day investment horizon Salesforce is expected to generate 1.66 times more return on investment than LKQ Corp. However, Salesforce is 1.66 times more volatile than LKQ Corp. It trades about 0.12 of its potential returns per unit of risk. LKQ Corp is currently generating about 0.09 per unit of risk. If you would invest 28,643 in Salesforce on October 24, 2024 and sell it today you would earn a total of 4,619 from holding Salesforce or generate 16.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.33% |
Values | Daily Returns |
Salesforce vs. LKQ Corp
Performance |
Timeline |
Salesforce |
LKQ Corp |
Salesforce and LKQ Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Salesforce and LKQ Corp
The main advantage of trading using opposite Salesforce and LKQ Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Salesforce position performs unexpectedly, LKQ Corp 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 LKQ Corp will offset losses from the drop in LKQ Corp's long position.Salesforce vs. Zoom Video Communications | Salesforce vs. C3 Ai Inc | Salesforce vs. Shopify | Salesforce vs. Workday |
LKQ Corp vs. ATRESMEDIA | LKQ Corp vs. Electronic Arts | LKQ Corp vs. Meiko Electronics Co | LKQ Corp vs. Fuji Media Holdings |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
Other Complementary Tools
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |