Correlation Between Valkyrie Bitcoin and SPDR FTSE
Can any of the company-specific risk be diversified away by investing in both Valkyrie Bitcoin and SPDR FTSE 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 Valkyrie Bitcoin and SPDR FTSE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Valkyrie Bitcoin Miners and SPDR FTSE International, you can compare the effects of market volatilities on Valkyrie Bitcoin and SPDR FTSE 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 Valkyrie Bitcoin with a short position of SPDR FTSE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Valkyrie Bitcoin and SPDR FTSE.
Diversification Opportunities for Valkyrie Bitcoin and SPDR FTSE
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Valkyrie and SPDR is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding Valkyrie Bitcoin Miners and SPDR FTSE International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR FTSE International and Valkyrie Bitcoin 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 Valkyrie Bitcoin Miners are associated (or correlated) with SPDR FTSE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR FTSE International has no effect on the direction of Valkyrie Bitcoin i.e., Valkyrie Bitcoin and SPDR FTSE go up and down completely randomly.
Pair Corralation between Valkyrie Bitcoin and SPDR FTSE
Given the investment horizon of 90 days Valkyrie Bitcoin Miners is expected to under-perform the SPDR FTSE. In addition to that, Valkyrie Bitcoin is 8.85 times more volatile than SPDR FTSE International. It trades about -0.12 of its total potential returns per unit of risk. SPDR FTSE International is currently generating about 0.11 per unit of volatility. If you would invest 3,599 in SPDR FTSE International on December 28, 2024 and sell it today you would earn a total of 144.00 from holding SPDR FTSE International or generate 4.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Valkyrie Bitcoin Miners vs. SPDR FTSE International
Performance |
Timeline |
Valkyrie Bitcoin Miners |
SPDR FTSE International |
Valkyrie Bitcoin and SPDR FTSE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Valkyrie Bitcoin and SPDR FTSE
The main advantage of trading using opposite Valkyrie Bitcoin and SPDR FTSE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Valkyrie Bitcoin position performs unexpectedly, SPDR FTSE 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 SPDR FTSE will offset losses from the drop in SPDR FTSE's long position.Valkyrie Bitcoin vs. Grayscale Bitcoin Trust | Valkyrie Bitcoin vs. ProShares Bitcoin Strategy | Valkyrie Bitcoin vs. Amplify Transformational Data | Valkyrie Bitcoin vs. Siren Nasdaq NexGen |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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