Correlation Between Whirlpool and Apple
Can any of the company-specific risk be diversified away by investing in both Whirlpool and Apple 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 Whirlpool and Apple into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Whirlpool SA and Apple Inc, you can compare the effects of market volatilities on Whirlpool and Apple 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 Whirlpool with a short position of Apple. Check out your portfolio center. Please also check ongoing floating volatility patterns of Whirlpool and Apple.
Diversification Opportunities for Whirlpool and Apple
Excellent diversification
The 3 months correlation between Whirlpool and Apple is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Whirlpool SA and Apple Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Apple Inc and Whirlpool 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 Whirlpool SA are associated (or correlated) with Apple. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Apple Inc has no effect on the direction of Whirlpool i.e., Whirlpool and Apple go up and down completely randomly.
Pair Corralation between Whirlpool and Apple
Assuming the 90 days trading horizon Whirlpool is expected to generate 15.5 times less return on investment than Apple. In addition to that, Whirlpool is 1.34 times more volatile than Apple Inc. It trades about 0.01 of its total potential returns per unit of risk. Apple Inc is currently generating about 0.12 per unit of volatility. If you would invest 6,420 in Apple Inc on September 2, 2024 and sell it today you would earn a total of 700.00 from holding Apple Inc or generate 10.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Whirlpool SA vs. Apple Inc
Performance |
Timeline |
Whirlpool SA |
Apple Inc |
Whirlpool and Apple Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Whirlpool and Apple
The main advantage of trading using opposite Whirlpool and Apple positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Whirlpool position performs unexpectedly, Apple 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 Apple will offset losses from the drop in Apple's long position.Whirlpool vs. Whirlpool SA | Whirlpool vs. Indstrias Romi SA | Whirlpool vs. Schulz SA | Whirlpool vs. Marcopolo 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Other Complementary Tools
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Stocks Directory Find actively traded stocks across global markets | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data |