Correlation Between PEPTONIC MEDICAL and SCANSOURCE (SC3SG)
Can any of the company-specific risk be diversified away by investing in both PEPTONIC MEDICAL and SCANSOURCE (SC3SG) 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 PEPTONIC MEDICAL and SCANSOURCE (SC3SG) into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PEPTONIC MEDICAL and SCANSOURCE, you can compare the effects of market volatilities on PEPTONIC MEDICAL and SCANSOURCE (SC3SG) 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 PEPTONIC MEDICAL with a short position of SCANSOURCE (SC3SG). Check out your portfolio center. Please also check ongoing floating volatility patterns of PEPTONIC MEDICAL and SCANSOURCE (SC3SG).
Diversification Opportunities for PEPTONIC MEDICAL and SCANSOURCE (SC3SG)
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between PEPTONIC and SCANSOURCE is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding PEPTONIC MEDICAL and SCANSOURCE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SCANSOURCE (SC3SG) and PEPTONIC MEDICAL 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 PEPTONIC MEDICAL are associated (or correlated) with SCANSOURCE (SC3SG). Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SCANSOURCE (SC3SG) has no effect on the direction of PEPTONIC MEDICAL i.e., PEPTONIC MEDICAL and SCANSOURCE (SC3SG) go up and down completely randomly.
Pair Corralation between PEPTONIC MEDICAL and SCANSOURCE (SC3SG)
Assuming the 90 days horizon PEPTONIC MEDICAL is expected to generate 27.69 times more return on investment than SCANSOURCE (SC3SG). However, PEPTONIC MEDICAL is 27.69 times more volatile than SCANSOURCE. It trades about 0.06 of its potential returns per unit of risk. SCANSOURCE is currently generating about 0.06 per unit of risk. If you would invest 0.65 in PEPTONIC MEDICAL on October 9, 2024 and sell it today you would lose (0.63) from holding PEPTONIC MEDICAL or give up 96.92% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
PEPTONIC MEDICAL vs. SCANSOURCE
Performance |
Timeline |
PEPTONIC MEDICAL |
SCANSOURCE (SC3SG) |
PEPTONIC MEDICAL and SCANSOURCE (SC3SG) Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PEPTONIC MEDICAL and SCANSOURCE (SC3SG)
The main advantage of trading using opposite PEPTONIC MEDICAL and SCANSOURCE (SC3SG) positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PEPTONIC MEDICAL position performs unexpectedly, SCANSOURCE (SC3SG) 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 SCANSOURCE (SC3SG) will offset losses from the drop in SCANSOURCE (SC3SG)'s long position.PEPTONIC MEDICAL vs. Tower Semiconductor | PEPTONIC MEDICAL vs. BE Semiconductor Industries | PEPTONIC MEDICAL vs. GameStop Corp | PEPTONIC MEDICAL vs. Penn National Gaming |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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