Correlation Between ScanSource and American Woodmark
Can any of the company-specific risk be diversified away by investing in both ScanSource and American Woodmark 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 ScanSource and American Woodmark into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ScanSource and American Woodmark, you can compare the effects of market volatilities on ScanSource and American Woodmark 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 ScanSource with a short position of American Woodmark. Check out your portfolio center. Please also check ongoing floating volatility patterns of ScanSource and American Woodmark.
Diversification Opportunities for ScanSource and American Woodmark
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between ScanSource and American is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding ScanSource and American Woodmark in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Woodmark and ScanSource 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 ScanSource are associated (or correlated) with American Woodmark. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Woodmark has no effect on the direction of ScanSource i.e., ScanSource and American Woodmark go up and down completely randomly.
Pair Corralation between ScanSource and American Woodmark
Assuming the 90 days horizon ScanSource is expected to generate 0.98 times more return on investment than American Woodmark. However, ScanSource is 1.02 times less risky than American Woodmark. It trades about 0.06 of its potential returns per unit of risk. American Woodmark is currently generating about 0.03 per unit of risk. If you would invest 4,020 in ScanSource on September 30, 2024 and sell it today you would earn a total of 620.00 from holding ScanSource or generate 15.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ScanSource vs. American Woodmark
Performance |
Timeline |
ScanSource |
American Woodmark |
ScanSource and American Woodmark Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ScanSource and American Woodmark
The main advantage of trading using opposite ScanSource and American Woodmark positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ScanSource position performs unexpectedly, American Woodmark 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 American Woodmark will offset losses from the drop in American Woodmark's long position.ScanSource vs. MULTI CHEM LTD | ScanSource vs. LEGAL GENERAL | ScanSource vs. SPORTING | ScanSource vs. US FOODS HOLDING |
American Woodmark vs. DATANG INTL POW | American Woodmark vs. AWILCO DRILLING PLC | American Woodmark vs. ScanSource | American Woodmark vs. Tsingtao Brewery |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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