Correlation Between Ethereum and Hwang Chang
Can any of the company-specific risk be diversified away by investing in both Ethereum and Hwang Chang 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 Ethereum and Hwang Chang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ethereum and Hwang Chang General, you can compare the effects of market volatilities on Ethereum and Hwang Chang 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 Ethereum with a short position of Hwang Chang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ethereum and Hwang Chang.
Diversification Opportunities for Ethereum and Hwang Chang
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Ethereum and Hwang is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding Ethereum and Hwang Chang General in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hwang Chang General and Ethereum 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 Ethereum are associated (or correlated) with Hwang Chang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hwang Chang General has no effect on the direction of Ethereum i.e., Ethereum and Hwang Chang go up and down completely randomly.
Pair Corralation between Ethereum and Hwang Chang
Assuming the 90 days trading horizon Ethereum is expected to generate 1.04 times more return on investment than Hwang Chang. However, Ethereum is 1.04 times more volatile than Hwang Chang General. It trades about 0.19 of its potential returns per unit of risk. Hwang Chang General is currently generating about -0.03 per unit of risk. If you would invest 238,440 in Ethereum on October 9, 2024 and sell it today you would earn a total of 129,385 from holding Ethereum or generate 54.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 98.41% |
Values | Daily Returns |
Ethereum vs. Hwang Chang General
Performance |
Timeline |
Ethereum |
Hwang Chang General |
Ethereum and Hwang Chang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ethereum and Hwang Chang
The main advantage of trading using opposite Ethereum and Hwang Chang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ethereum position performs unexpectedly, Hwang Chang 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 Hwang Chang will offset losses from the drop in Hwang Chang's long position.The idea behind Ethereum and Hwang Chang General pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Hwang Chang vs. Radium Life Tech | Hwang Chang vs. Hung Sheng Construction | Hwang Chang vs. Da Cin Construction Co | Hwang Chang vs. Huang Hsiang Construction |
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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