Correlation Between SPDR Russell and ZKB Silver
Can any of the company-specific risk be diversified away by investing in both SPDR Russell and ZKB Silver 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 SPDR Russell and ZKB Silver into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SPDR Russell 2000 and ZKB Silver ETF, you can compare the effects of market volatilities on SPDR Russell and ZKB Silver 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 SPDR Russell with a short position of ZKB Silver. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPDR Russell and ZKB Silver.
Diversification Opportunities for SPDR Russell and ZKB Silver
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SPDR and ZKB is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding SPDR Russell 2000 and ZKB Silver ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ZKB Silver ETF and SPDR Russell 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 SPDR Russell 2000 are associated (or correlated) with ZKB Silver. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ZKB Silver ETF has no effect on the direction of SPDR Russell i.e., SPDR Russell and ZKB Silver go up and down completely randomly.
Pair Corralation between SPDR Russell and ZKB Silver
Assuming the 90 days trading horizon SPDR Russell 2000 is expected to under-perform the ZKB Silver. But the etf apears to be less risky and, when comparing its historical volatility, SPDR Russell 2000 is 1.86 times less risky than ZKB Silver. The etf trades about -0.3 of its potential returns per unit of risk. The ZKB Silver ETF is currently generating about -0.06 of returns per unit of risk over similar time horizon. If you would invest 15,350 in ZKB Silver ETF on September 29, 2024 and sell it today you would lose (368.00) from holding ZKB Silver ETF or give up 2.4% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.0% |
Values | Daily Returns |
SPDR Russell 2000 vs. ZKB Silver ETF
Performance |
Timeline |
SPDR Russell 2000 |
ZKB Silver ETF |
SPDR Russell and ZKB Silver Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SPDR Russell and ZKB Silver
The main advantage of trading using opposite SPDR Russell and ZKB Silver positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPDR Russell position performs unexpectedly, ZKB Silver 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 ZKB Silver will offset losses from the drop in ZKB Silver's long position.SPDR Russell vs. UBSFund Solutions MSCI | SPDR Russell vs. Vanguard SP 500 | SPDR Russell vs. iShares VII PLC | SPDR Russell vs. iShares Core SP |
ZKB Silver vs. UBSFund Solutions MSCI | ZKB Silver vs. Vanguard SP 500 | ZKB Silver vs. iShares VII PLC | ZKB Silver vs. iShares Core SP |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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