Correlation Between Algorand and Whitehaven Coal
Can any of the company-specific risk be diversified away by investing in both Algorand and Whitehaven Coal 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 Algorand and Whitehaven Coal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Algorand and Whitehaven Coal, you can compare the effects of market volatilities on Algorand and Whitehaven Coal 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 Algorand with a short position of Whitehaven Coal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Algorand and Whitehaven Coal.
Diversification Opportunities for Algorand and Whitehaven Coal
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Algorand and Whitehaven is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and Whitehaven Coal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Whitehaven Coal and Algorand 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 Algorand are associated (or correlated) with Whitehaven Coal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Whitehaven Coal has no effect on the direction of Algorand i.e., Algorand and Whitehaven Coal go up and down completely randomly.
Pair Corralation between Algorand and Whitehaven Coal
Assuming the 90 days trading horizon Algorand is expected to under-perform the Whitehaven Coal. In addition to that, Algorand is 2.52 times more volatile than Whitehaven Coal. It trades about -0.12 of its total potential returns per unit of risk. Whitehaven Coal is currently generating about -0.03 per unit of volatility. If you would invest 591.00 in Whitehaven Coal on December 25, 2024 and sell it today you would lose (32.00) from holding Whitehaven Coal or give up 5.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.24% |
Values | Daily Returns |
Algorand vs. Whitehaven Coal
Performance |
Timeline |
Algorand |
Whitehaven Coal |
Algorand and Whitehaven Coal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Algorand and Whitehaven Coal
The main advantage of trading using opposite Algorand and Whitehaven Coal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Algorand position performs unexpectedly, Whitehaven Coal 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 Whitehaven Coal will offset losses from the drop in Whitehaven Coal's long position.The idea behind Algorand and Whitehaven Coal 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.Whitehaven Coal vs. Aussie Broadband | Whitehaven Coal vs. Group 6 Metals | Whitehaven Coal vs. Australian Unity Office | Whitehaven Coal vs. 29Metals |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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