Correlation Between AVer Information and Hunt Electronic
Can any of the company-specific risk be diversified away by investing in both AVer Information and Hunt Electronic 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 Hunt Electronic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AVer Information and Hunt Electronic Co, you can compare the effects of market volatilities on AVer Information and Hunt Electronic 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 Hunt Electronic. Check out your portfolio center. Please also check ongoing floating volatility patterns of AVer Information and Hunt Electronic.
Diversification Opportunities for AVer Information and Hunt Electronic
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between AVer and Hunt is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding AVer Information and Hunt Electronic Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hunt Electronic 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 Hunt Electronic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hunt Electronic has no effect on the direction of AVer Information i.e., AVer Information and Hunt Electronic go up and down completely randomly.
Pair Corralation between AVer Information and Hunt Electronic
Assuming the 90 days trading horizon AVer Information is expected to generate 0.46 times more return on investment than Hunt Electronic. However, AVer Information is 2.15 times less risky than Hunt Electronic. It trades about -0.14 of its potential returns per unit of risk. Hunt Electronic Co is currently generating about -0.1 per unit of risk. If you would invest 4,920 in AVer Information on September 30, 2024 and sell it today you would lose (570.00) from holding AVer Information or give up 11.59% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
AVer Information vs. Hunt Electronic Co
Performance |
Timeline |
AVer Information |
Hunt Electronic |
AVer Information and Hunt Electronic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AVer Information and Hunt Electronic
The main advantage of trading using opposite AVer Information and Hunt Electronic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AVer Information position performs unexpectedly, Hunt Electronic 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 Hunt Electronic will offset losses from the drop in Hunt Electronic'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 |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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