Correlation Between Procter Gamble and MicroSectors FANG
Can any of the company-specific risk be diversified away by investing in both Procter Gamble and MicroSectors FANG 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 Procter Gamble and MicroSectors FANG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Procter Gamble and MicroSectors FANG ETN, you can compare the effects of market volatilities on Procter Gamble and MicroSectors FANG 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 Procter Gamble with a short position of MicroSectors FANG. Check out your portfolio center. Please also check ongoing floating volatility patterns of Procter Gamble and MicroSectors FANG.
Diversification Opportunities for Procter Gamble and MicroSectors FANG
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Procter and MicroSectors is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Procter Gamble and MicroSectors FANG ETN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MicroSectors FANG ETN and Procter Gamble 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 Procter Gamble are associated (or correlated) with MicroSectors FANG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MicroSectors FANG ETN has no effect on the direction of Procter Gamble i.e., Procter Gamble and MicroSectors FANG go up and down completely randomly.
Pair Corralation between Procter Gamble and MicroSectors FANG
Allowing for the 90-day total investment horizon Procter Gamble is expected to generate 112.15 times less return on investment than MicroSectors FANG. But when comparing it to its historical volatility, Procter Gamble is 1.25 times less risky than MicroSectors FANG. It trades about 0.0 of its potential returns per unit of risk. MicroSectors FANG ETN is currently generating about 0.31 of returns per unit of risk over similar time horizon. If you would invest 5,244 in MicroSectors FANG ETN on April 24, 2025 and sell it today you would earn a total of 1,341 from holding MicroSectors FANG ETN or generate 25.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Procter Gamble vs. MicroSectors FANG ETN
Performance |
Timeline |
Procter Gamble |
MicroSectors FANG ETN |
Procter Gamble and MicroSectors FANG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Procter Gamble and MicroSectors FANG
The main advantage of trading using opposite Procter Gamble and MicroSectors FANG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Procter Gamble position performs unexpectedly, MicroSectors FANG 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 MicroSectors FANG will offset losses from the drop in MicroSectors FANG's long position.Procter Gamble vs. The Clorox | Procter Gamble vs. Colgate Palmolive | Procter Gamble vs. Unilever PLC ADR | Procter Gamble vs. Church Dwight |
MicroSectors FANG vs. Franklin Templeton ETF | MicroSectors FANG vs. Tidal Trust II | MicroSectors FANG vs. Tidal Trust II | MicroSectors FANG vs. iShares Dividend and |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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