Correlation Between Coty and Natura Co
Can any of the company-specific risk be diversified away by investing in both Coty and Natura Co 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 Coty and Natura Co into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Coty Inc and Natura Co Holding, you can compare the effects of market volatilities on Coty and Natura Co 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 Coty with a short position of Natura Co. Check out your portfolio center. Please also check ongoing floating volatility patterns of Coty and Natura Co.
Diversification Opportunities for Coty and Natura Co
Modest diversification
The 3 months correlation between Coty and Natura is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Coty Inc and Natura Co Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Natura Co Holding and Coty 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 Coty Inc are associated (or correlated) with Natura Co. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Natura Co Holding has no effect on the direction of Coty i.e., Coty and Natura Co go up and down completely randomly.
Pair Corralation between Coty and Natura Co
Assuming the 90 days trading horizon Coty Inc is expected to under-perform the Natura Co. But the stock apears to be less risky and, when comparing its historical volatility, Coty Inc is 1.01 times less risky than Natura Co. The stock trades about -0.07 of its potential returns per unit of risk. The Natura Co Holding is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 1,364 in Natura Co Holding on September 21, 2024 and sell it today you would lose (52.00) from holding Natura Co Holding or give up 3.81% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Coty Inc vs. Natura Co Holding
Performance |
Timeline |
Coty Inc |
Natura Co Holding |
Coty and Natura Co Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Coty and Natura Co
The main advantage of trading using opposite Coty and Natura Co positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Coty position performs unexpectedly, Natura Co 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 Natura Co will offset losses from the drop in Natura Co's long position.The idea behind Coty Inc and Natura Co Holding pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Natura Co vs. Unilever PLC | Natura Co vs. Colgate Palmolive | Natura Co vs. Coty Inc | Natura Co vs. Bombril SA |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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