Correlation Between Daou Data and Taegu Broadcasting
Can any of the company-specific risk be diversified away by investing in both Daou Data and Taegu Broadcasting 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 Daou Data and Taegu Broadcasting into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daou Data Corp and Taegu Broadcasting, you can compare the effects of market volatilities on Daou Data and Taegu Broadcasting 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 Daou Data with a short position of Taegu Broadcasting. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daou Data and Taegu Broadcasting.
Diversification Opportunities for Daou Data and Taegu Broadcasting
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Daou and Taegu is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Daou Data Corp and Taegu Broadcasting in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Taegu Broadcasting and Daou Data 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 Daou Data Corp are associated (or correlated) with Taegu Broadcasting. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Taegu Broadcasting has no effect on the direction of Daou Data i.e., Daou Data and Taegu Broadcasting go up and down completely randomly.
Pair Corralation between Daou Data and Taegu Broadcasting
Assuming the 90 days trading horizon Daou Data Corp is expected to under-perform the Taegu Broadcasting. But the stock apears to be less risky and, when comparing its historical volatility, Daou Data Corp is 1.23 times less risky than Taegu Broadcasting. The stock trades about -0.02 of its potential returns per unit of risk. The Taegu Broadcasting is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 70,300 in Taegu Broadcasting on September 12, 2024 and sell it today you would earn a total of 21,200 from holding Taegu Broadcasting or generate 30.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Daou Data Corp vs. Taegu Broadcasting
Performance |
Timeline |
Daou Data Corp |
Taegu Broadcasting |
Daou Data and Taegu Broadcasting Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daou Data and Taegu Broadcasting
The main advantage of trading using opposite Daou Data and Taegu Broadcasting positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daou Data position performs unexpectedly, Taegu Broadcasting 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 Taegu Broadcasting will offset losses from the drop in Taegu Broadcasting's long position.Daou Data vs. KB Financial Group | Daou Data vs. Shinhan Financial Group | Daou Data vs. Hana Financial | Daou Data vs. Woori Financial Group |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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