Correlation Between SSC Technologies and LPL Financial
Can any of the company-specific risk be diversified away by investing in both SSC Technologies and LPL Financial 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 SSC Technologies and LPL Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SSC Technologies Holdings, and LPL Financial Holdings, you can compare the effects of market volatilities on SSC Technologies and LPL Financial 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 SSC Technologies with a short position of LPL Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of SSC Technologies and LPL Financial.
Diversification Opportunities for SSC Technologies and LPL Financial
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between SSC and LPL is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding SSC Technologies Holdings, and LPL Financial Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LPL Financial Holdings and SSC Technologies 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 SSC Technologies Holdings, are associated (or correlated) with LPL Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LPL Financial Holdings has no effect on the direction of SSC Technologies i.e., SSC Technologies and LPL Financial go up and down completely randomly.
Pair Corralation between SSC Technologies and LPL Financial
Assuming the 90 days trading horizon SSC Technologies is expected to generate 128.61 times less return on investment than LPL Financial. But when comparing it to its historical volatility, SSC Technologies Holdings, is 72.62 times less risky than LPL Financial. It trades about 0.13 of its potential returns per unit of risk. LPL Financial Holdings is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 9,583 in LPL Financial Holdings on April 22, 2025 and sell it today you would earn a total of 2,610 from holding LPL Financial Holdings or generate 27.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SSC Technologies Holdings, vs. LPL Financial Holdings
Performance |
Timeline |
SSC Technologies Hol |
LPL Financial Holdings |
SSC Technologies and LPL Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SSC Technologies and LPL Financial
The main advantage of trading using opposite SSC Technologies and LPL Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SSC Technologies position performs unexpectedly, LPL Financial 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 LPL Financial will offset losses from the drop in LPL Financial's long position.SSC Technologies vs. Ares Management | SSC Technologies vs. Palantir Technologies | SSC Technologies vs. Waste Management | SSC Technologies vs. Trane Technologies plc |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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