Correlation Between Dow Jones and Bitwise Crypto
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Bitwise Crypto 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 Dow Jones and Bitwise Crypto into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Bitwise Crypto Industry, you can compare the effects of market volatilities on Dow Jones and Bitwise Crypto 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 Dow Jones with a short position of Bitwise Crypto. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Bitwise Crypto.
Diversification Opportunities for Dow Jones and Bitwise Crypto
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Dow and Bitwise is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Bitwise Crypto Industry in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bitwise Crypto Industry and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Bitwise Crypto. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bitwise Crypto Industry has no effect on the direction of Dow Jones i.e., Dow Jones and Bitwise Crypto go up and down completely randomly.
Pair Corralation between Dow Jones and Bitwise Crypto
Assuming the 90 days trading horizon Dow Jones is expected to generate 4.6 times less return on investment than Bitwise Crypto. But when comparing it to its historical volatility, Dow Jones Industrial is 6.72 times less risky than Bitwise Crypto. It trades about 0.27 of its potential returns per unit of risk. Bitwise Crypto Industry is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 1,654 in Bitwise Crypto Industry on August 30, 2024 and sell it today you would earn a total of 416.00 from holding Bitwise Crypto Industry or generate 25.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Dow Jones Industrial vs. Bitwise Crypto Industry
Performance |
Timeline |
Dow Jones and Bitwise Crypto Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Bitwise Crypto Industry
Pair trading matchups for Bitwise Crypto
Pair Trading with Dow Jones and Bitwise Crypto
The main advantage of trading using opposite Dow Jones and Bitwise Crypto positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Bitwise Crypto 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 Bitwise Crypto will offset losses from the drop in Bitwise Crypto's long position.Dow Jones vs. Skillful Craftsman Education | Dow Jones vs. Acco Brands | Dow Jones vs. Cracker Barrel Old | Dow Jones vs. Coursera |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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