Correlation Between KB Financial and Argo Blockchain
Can any of the company-specific risk be diversified away by investing in both KB Financial and Argo Blockchain 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 KB Financial and Argo Blockchain into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KB Financial Group and Argo Blockchain PLC, you can compare the effects of market volatilities on KB Financial and Argo Blockchain 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 KB Financial with a short position of Argo Blockchain. Check out your portfolio center. Please also check ongoing floating volatility patterns of KB Financial and Argo Blockchain.
Diversification Opportunities for KB Financial and Argo Blockchain
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between KB Financial and Argo is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding KB Financial Group and Argo Blockchain PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Argo Blockchain PLC and KB Financial 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 KB Financial Group are associated (or correlated) with Argo Blockchain. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Argo Blockchain PLC has no effect on the direction of KB Financial i.e., KB Financial and Argo Blockchain go up and down completely randomly.
Pair Corralation between KB Financial and Argo Blockchain
Allowing for the 90-day total investment horizon KB Financial is expected to generate 2.19 times less return on investment than Argo Blockchain. But when comparing it to its historical volatility, KB Financial Group is 7.19 times less risky than Argo Blockchain. It trades about 0.27 of its potential returns per unit of risk. Argo Blockchain PLC is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 35.00 in Argo Blockchain PLC on April 22, 2025 and sell it today you would earn a total of 5.00 from holding Argo Blockchain PLC or generate 14.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
KB Financial Group vs. Argo Blockchain PLC
Performance |
Timeline |
KB Financial Group |
Argo Blockchain PLC |
KB Financial and Argo Blockchain Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KB Financial and Argo Blockchain
The main advantage of trading using opposite KB Financial and Argo Blockchain positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KB Financial position performs unexpectedly, Argo Blockchain 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 Argo Blockchain will offset losses from the drop in Argo Blockchain's long position.KB Financial vs. Shinhan Financial Group | KB Financial vs. Woori Financial Group | KB Financial vs. Korea Electric Power | KB Financial vs. Orix Corp Ads |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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