Correlation Between Kao Fong and AzureWave Technologies
Can any of the company-specific risk be diversified away by investing in both Kao Fong and AzureWave Technologies 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 Kao Fong and AzureWave Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kao Fong Machinery and AzureWave Technologies, you can compare the effects of market volatilities on Kao Fong and AzureWave Technologies 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 Kao Fong with a short position of AzureWave Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kao Fong and AzureWave Technologies.
Diversification Opportunities for Kao Fong and AzureWave Technologies
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Kao and AzureWave is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Kao Fong Machinery and AzureWave Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AzureWave Technologies and Kao Fong 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 Kao Fong Machinery are associated (or correlated) with AzureWave Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AzureWave Technologies has no effect on the direction of Kao Fong i.e., Kao Fong and AzureWave Technologies go up and down completely randomly.
Pair Corralation between Kao Fong and AzureWave Technologies
Assuming the 90 days trading horizon Kao Fong is expected to generate 2.05 times less return on investment than AzureWave Technologies. In addition to that, Kao Fong is 1.12 times more volatile than AzureWave Technologies. It trades about 0.07 of its total potential returns per unit of risk. AzureWave Technologies is currently generating about 0.16 per unit of volatility. If you would invest 4,450 in AzureWave Technologies on October 7, 2024 and sell it today you would earn a total of 1,800 from holding AzureWave Technologies or generate 40.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kao Fong Machinery vs. AzureWave Technologies
Performance |
Timeline |
Kao Fong Machinery |
AzureWave Technologies |
Kao Fong and AzureWave Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kao Fong and AzureWave Technologies
The main advantage of trading using opposite Kao Fong and AzureWave Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kao Fong position performs unexpectedly, AzureWave Technologies 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 AzureWave Technologies will offset losses from the drop in AzureWave Technologies' long position.Kao Fong vs. Airtac International Group | Kao Fong vs. TECO Electric Machinery | Kao Fong vs. Chung Hsin Electric Machinery | Kao Fong vs. King Slide Works |
AzureWave Technologies vs. Holy Stone Enterprise | AzureWave Technologies vs. Walsin Technology Corp | AzureWave Technologies vs. Yageo Corp | AzureWave Technologies vs. HannStar Board Corp |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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