Correlation Between Algorand and KODEX SP500TR
Can any of the company-specific risk be diversified away by investing in both Algorand and KODEX SP500TR 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 KODEX SP500TR into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Algorand and KODEX SP500TR, you can compare the effects of market volatilities on Algorand and KODEX SP500TR 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 KODEX SP500TR. Check out your portfolio center. Please also check ongoing floating volatility patterns of Algorand and KODEX SP500TR.
Diversification Opportunities for Algorand and KODEX SP500TR
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Algorand and KODEX is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and KODEX SP500TR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KODEX SP500TR 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 KODEX SP500TR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KODEX SP500TR has no effect on the direction of Algorand i.e., Algorand and KODEX SP500TR go up and down completely randomly.
Pair Corralation between Algorand and KODEX SP500TR
Assuming the 90 days trading horizon Algorand is expected to generate 9.76 times more return on investment than KODEX SP500TR. However, Algorand is 9.76 times more volatile than KODEX SP500TR. It trades about 0.05 of its potential returns per unit of risk. KODEX SP500TR is currently generating about 0.16 per unit of risk. If you would invest 24.00 in Algorand on October 12, 2024 and sell it today you would earn a total of 10.00 from holding Algorand or generate 41.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 61.88% |
Values | Daily Returns |
Algorand vs. KODEX SP500TR
Performance |
Timeline |
Algorand |
KODEX SP500TR |
Algorand and KODEX SP500TR Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Algorand and KODEX SP500TR
The main advantage of trading using opposite Algorand and KODEX SP500TR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Algorand position performs unexpectedly, KODEX SP500TR 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 KODEX SP500TR will offset losses from the drop in KODEX SP500TR's long position.The idea behind Algorand and KODEX SP500TR 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.KODEX SP500TR vs. KODEX 200LONGKOSDAQ150SHORT Futures | KODEX SP500TR vs. KODEX K Renewable Energy | KODEX SP500TR vs. KODEX Metaverse Nasdaq | KODEX SP500TR vs. KODEX KOSPI LargeCap |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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