Correlation Between Quaker Chemical and Alliance Data
Can any of the company-specific risk be diversified away by investing in both Quaker Chemical and Alliance Data 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 Quaker Chemical and Alliance Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Quaker Chemical and Alliance Data Systems, you can compare the effects of market volatilities on Quaker Chemical and Alliance Data 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 Quaker Chemical with a short position of Alliance Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Quaker Chemical and Alliance Data.
Diversification Opportunities for Quaker Chemical and Alliance Data
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Quaker and Alliance is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Quaker Chemical and Alliance Data Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alliance Data Systems and Quaker Chemical 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 Quaker Chemical are associated (or correlated) with Alliance Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alliance Data Systems has no effect on the direction of Quaker Chemical i.e., Quaker Chemical and Alliance Data go up and down completely randomly.
Pair Corralation between Quaker Chemical and Alliance Data
Assuming the 90 days horizon Quaker Chemical is expected to under-perform the Alliance Data. But the stock apears to be less risky and, when comparing its historical volatility, Quaker Chemical is 1.44 times less risky than Alliance Data. The stock trades about -0.02 of its potential returns per unit of risk. The Alliance Data Systems is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 3,488 in Alliance Data Systems on October 14, 2024 and sell it today you would earn a total of 2,120 from holding Alliance Data Systems or generate 60.78% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Quaker Chemical vs. Alliance Data Systems
Performance |
| Timeline |
| Quaker Chemical |
| Alliance Data Systems |
Quaker Chemical and Alliance Data Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Quaker Chemical and Alliance Data
The main advantage of trading using opposite Quaker Chemical and Alliance Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Quaker Chemical position performs unexpectedly, Alliance Data 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 Alliance Data will offset losses from the drop in Alliance Data's long position.| Quaker Chemical vs. Take Two Interactive Software | Quaker Chemical vs. Easy Software AG | Quaker Chemical vs. Yuexiu Transport Infrastructure | Quaker Chemical vs. Kingdee International Software |
| Alliance Data vs. KINGBOARD CHEMICAL | Alliance Data vs. Nippon Light Metal | Alliance Data vs. Quaker Chemical | Alliance Data vs. X FAB Silicon Foundries |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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