Correlation Between AVer Information and Hi Sharp
Can any of the company-specific risk be diversified away by investing in both AVer Information and Hi Sharp 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 AVer Information and Hi Sharp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AVer Information and Hi Sharp Electronics, you can compare the effects of market volatilities on AVer Information and Hi Sharp 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 AVer Information with a short position of Hi Sharp. Check out your portfolio center. Please also check ongoing floating volatility patterns of AVer Information and Hi Sharp.
Diversification Opportunities for AVer Information and Hi Sharp
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between AVer and 3128 is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding AVer Information and Hi Sharp Electronics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hi Sharp Electronics and AVer Information 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 AVer Information are associated (or correlated) with Hi Sharp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hi Sharp Electronics has no effect on the direction of AVer Information i.e., AVer Information and Hi Sharp go up and down completely randomly.
Pair Corralation between AVer Information and Hi Sharp
Assuming the 90 days trading horizon AVer Information is expected to under-perform the Hi Sharp. But the stock apears to be less risky and, when comparing its historical volatility, AVer Information is 1.45 times less risky than Hi Sharp. The stock trades about -0.14 of its potential returns per unit of risk. The Hi Sharp Electronics is currently generating about -0.05 of returns per unit of risk over similar time horizon. If you would invest 2,940 in Hi Sharp Electronics on September 29, 2024 and sell it today you would lose (190.00) from holding Hi Sharp Electronics or give up 6.46% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
AVer Information vs. Hi Sharp Electronics
Performance |
Timeline |
AVer Information |
Hi Sharp Electronics |
AVer Information and Hi Sharp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AVer Information and Hi Sharp
The main advantage of trading using opposite AVer Information and Hi Sharp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AVer Information position performs unexpectedly, Hi Sharp 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 Hi Sharp will offset losses from the drop in Hi Sharp's long position.AVer Information vs. Century Wind Power | AVer Information vs. Green World Fintech | AVer Information vs. Ingentec | AVer Information vs. Chaheng Precision Co |
Hi Sharp vs. Taiwan Secom Co | Hi Sharp vs. Vivotek | Hi Sharp vs. Taiwan Shin Kong | Hi Sharp vs. Taiwan Fu Hsing |
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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