Correlation Between Fator IFIX and Kimberly Clark
Can any of the company-specific risk be diversified away by investing in both Fator IFIX and Kimberly Clark 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 Fator IFIX and Kimberly Clark into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fator IFIX Fundo and Kimberly Clark, you can compare the effects of market volatilities on Fator IFIX and Kimberly Clark 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 Fator IFIX with a short position of Kimberly Clark. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fator IFIX and Kimberly Clark.
Diversification Opportunities for Fator IFIX and Kimberly Clark
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Fator and Kimberly is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Fator IFIX Fundo and Kimberly Clark in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kimberly Clark and Fator IFIX 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 Fator IFIX Fundo are associated (or correlated) with Kimberly Clark. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kimberly Clark has no effect on the direction of Fator IFIX i.e., Fator IFIX and Kimberly Clark go up and down completely randomly.
Pair Corralation between Fator IFIX and Kimberly Clark
Assuming the 90 days trading horizon Fator IFIX Fundo is expected to under-perform the Kimberly Clark. In addition to that, Fator IFIX is 1.44 times more volatile than Kimberly Clark. It trades about -0.11 of its total potential returns per unit of risk. Kimberly Clark is currently generating about -0.05 per unit of volatility. If you would invest 78,123 in Kimberly Clark on October 26, 2024 and sell it today you would lose (3,203) from holding Kimberly Clark or give up 4.1% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.31% |
Values | Daily Returns |
Fator IFIX Fundo vs. Kimberly Clark
Performance |
Timeline |
Fator IFIX Fundo |
Kimberly Clark |
Fator IFIX and Kimberly Clark Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fator IFIX and Kimberly Clark
The main advantage of trading using opposite Fator IFIX and Kimberly Clark positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fator IFIX position performs unexpectedly, Kimberly Clark 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 Kimberly Clark will offset losses from the drop in Kimberly Clark's long position.Fator IFIX vs. Fator Verit Fundo | Fator IFIX vs. FDO INV IMOB | Fator IFIX vs. SUPREMO FUNDO DE | Fator IFIX vs. Real Estate Investment |
Kimberly Clark vs. Nordon Indstrias Metalrgicas | Kimberly Clark vs. JB Hunt Transport | Kimberly Clark vs. Burlington Stores, | Kimberly Clark vs. Fidelity National Information |
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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