Correlation Between ETFS FANG and ETFS Physical
Can any of the company-specific risk be diversified away by investing in both ETFS FANG and ETFS Physical 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 ETFS FANG and ETFS Physical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ETFS FANG ETF and ETFS Physical Silver, you can compare the effects of market volatilities on ETFS FANG and ETFS Physical 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 ETFS FANG with a short position of ETFS Physical. Check out your portfolio center. Please also check ongoing floating volatility patterns of ETFS FANG and ETFS Physical.
Diversification Opportunities for ETFS FANG and ETFS Physical
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between ETFS and ETFS is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding ETFS FANG ETF and ETFS Physical Silver in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ETFS Physical Silver and ETFS FANG 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 ETFS FANG ETF are associated (or correlated) with ETFS Physical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ETFS Physical Silver has no effect on the direction of ETFS FANG i.e., ETFS FANG and ETFS Physical go up and down completely randomly.
Pair Corralation between ETFS FANG and ETFS Physical
Assuming the 90 days trading horizon ETFS FANG ETF is expected to under-perform the ETFS Physical. In addition to that, ETFS FANG is 1.3 times more volatile than ETFS Physical Silver. It trades about -0.05 of its total potential returns per unit of risk. ETFS Physical Silver is currently generating about 0.25 per unit of volatility. If you would invest 4,507 in ETFS Physical Silver on November 27, 2024 and sell it today you would earn a total of 233.00 from holding ETFS Physical Silver or generate 5.17% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 95.24% |
| Values | Daily Returns |
ETFS FANG ETF vs. ETFS Physical Silver
Performance |
| Timeline |
| ETFS FANG ETF |
| ETFS Physical Silver |
ETFS FANG and ETFS Physical Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with ETFS FANG and ETFS Physical
The main advantage of trading using opposite ETFS FANG and ETFS Physical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ETFS FANG position performs unexpectedly, ETFS Physical 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 ETFS Physical will offset losses from the drop in ETFS Physical's long position.| ETFS FANG vs. ETFS Battery Tech | ETFS FANG vs. ETFS Ultra Long | ETFS FANG vs. ETFS Ultra Short | ETFS FANG vs. ETFS SP Biotech |
| ETFS Physical vs. Betashares Asia Technology | ETFS Physical vs. CD Private Equity | ETFS Physical vs. BetaShares Australia 200 | ETFS Physical vs. Australian High Interest |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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