Correlation Between Quaker Chemical and Fast Retailing
Can any of the company-specific risk be diversified away by investing in both Quaker Chemical and Fast Retailing 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 Fast Retailing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Quaker Chemical and Fast Retailing Co, you can compare the effects of market volatilities on Quaker Chemical and Fast Retailing 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 Fast Retailing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Quaker Chemical and Fast Retailing.
Diversification Opportunities for Quaker Chemical and Fast Retailing
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Quaker and Fast is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Quaker Chemical and Fast Retailing Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fast Retailing 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 Fast Retailing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fast Retailing has no effect on the direction of Quaker Chemical i.e., Quaker Chemical and Fast Retailing go up and down completely randomly.
Pair Corralation between Quaker Chemical and Fast Retailing
Assuming the 90 days horizon Quaker Chemical is expected to under-perform the Fast Retailing. In addition to that, Quaker Chemical is 1.19 times more volatile than Fast Retailing Co. It trades about -0.02 of its total potential returns per unit of risk. Fast Retailing Co is currently generating about 0.07 per unit of volatility. If you would invest 18,167 in Fast Retailing Co on October 15, 2024 and sell it today you would earn a total of 11,543 from holding Fast Retailing Co or generate 63.54% 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. Fast Retailing Co
Performance |
Timeline |
Quaker Chemical |
Fast Retailing |
Quaker Chemical and Fast Retailing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Quaker Chemical and Fast Retailing
The main advantage of trading using opposite Quaker Chemical and Fast Retailing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Quaker Chemical position performs unexpectedly, Fast Retailing 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 Fast Retailing will offset losses from the drop in Fast Retailing's long position.Quaker Chemical vs. TRI CHEMICAL LABORATINC | Quaker Chemical vs. Pentair plc | Quaker Chemical vs. DELTA AIR LINES | Quaker Chemical vs. KINGBOARD CHEMICAL |
Fast Retailing vs. Hyatt Hotels | Fast Retailing vs. Waste Management | Fast Retailing vs. Choice Hotels International | Fast Retailing vs. AGF Management Limited |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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