Correlation Between ZKB Palladium and IShares NASDAQ
Can any of the company-specific risk be diversified away by investing in both ZKB Palladium and IShares NASDAQ 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 ZKB Palladium and IShares NASDAQ into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ZKB Palladium ETF and iShares NASDAQ 100, you can compare the effects of market volatilities on ZKB Palladium and IShares NASDAQ 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 ZKB Palladium with a short position of IShares NASDAQ. Check out your portfolio center. Please also check ongoing floating volatility patterns of ZKB Palladium and IShares NASDAQ.
Diversification Opportunities for ZKB Palladium and IShares NASDAQ
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between ZKB and IShares is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding ZKB Palladium ETF and iShares NASDAQ 100 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares NASDAQ 100 and ZKB Palladium 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 ZKB Palladium ETF are associated (or correlated) with IShares NASDAQ. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares NASDAQ 100 has no effect on the direction of ZKB Palladium i.e., ZKB Palladium and IShares NASDAQ go up and down completely randomly.
Pair Corralation between ZKB Palladium and IShares NASDAQ
Assuming the 90 days trading horizon ZKB Palladium ETF is expected to under-perform the IShares NASDAQ. In addition to that, ZKB Palladium is 1.86 times more volatile than iShares NASDAQ 100. It trades about -0.11 of its total potential returns per unit of risk. iShares NASDAQ 100 is currently generating about 0.19 per unit of volatility. If you would invest 118,220 in iShares NASDAQ 100 on September 28, 2024 and sell it today you would earn a total of 4,340 from holding iShares NASDAQ 100 or generate 3.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ZKB Palladium ETF vs. iShares NASDAQ 100
Performance |
Timeline |
ZKB Palladium ETF |
iShares NASDAQ 100 |
ZKB Palladium and IShares NASDAQ Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ZKB Palladium and IShares NASDAQ
The main advantage of trading using opposite ZKB Palladium and IShares NASDAQ positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ZKB Palladium position performs unexpectedly, IShares NASDAQ 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 IShares NASDAQ will offset losses from the drop in IShares NASDAQ's long position.ZKB Palladium vs. UBSFund Solutions MSCI | ZKB Palladium vs. Vanguard SP 500 | ZKB Palladium vs. iShares VII PLC | ZKB Palladium vs. iShares Core SP |
IShares NASDAQ vs. UBSFund Solutions MSCI | IShares NASDAQ vs. Vanguard SP 500 | IShares NASDAQ vs. iShares VII PLC | IShares NASDAQ 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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