Correlation Between Elitegroup Computer and I Hwa
Can any of the company-specific risk be diversified away by investing in both Elitegroup Computer and I Hwa 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 Elitegroup Computer and I Hwa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Elitegroup Computer Systems and I Hwa Industrial Co, you can compare the effects of market volatilities on Elitegroup Computer and I Hwa 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 Elitegroup Computer with a short position of I Hwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Elitegroup Computer and I Hwa.
Diversification Opportunities for Elitegroup Computer and I Hwa
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Elitegroup and 1456 is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Elitegroup Computer Systems and I Hwa Industrial Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on I Hwa Industrial and Elitegroup Computer 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 Elitegroup Computer Systems are associated (or correlated) with I Hwa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of I Hwa Industrial has no effect on the direction of Elitegroup Computer i.e., Elitegroup Computer and I Hwa go up and down completely randomly.
Pair Corralation between Elitegroup Computer and I Hwa
Assuming the 90 days trading horizon Elitegroup Computer Systems is expected to under-perform the I Hwa. But the stock apears to be less risky and, when comparing its historical volatility, Elitegroup Computer Systems is 1.15 times less risky than I Hwa. The stock trades about -0.01 of its potential returns per unit of risk. The I Hwa Industrial Co is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 1,635 in I Hwa Industrial Co on November 28, 2024 and sell it today you would earn a total of 55.00 from holding I Hwa Industrial Co or generate 3.36% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Elitegroup Computer Systems vs. I Hwa Industrial Co
Performance |
| Timeline |
| Elitegroup Computer |
| I Hwa Industrial |
Elitegroup Computer and I Hwa Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Elitegroup Computer and I Hwa
The main advantage of trading using opposite Elitegroup Computer and I Hwa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Elitegroup Computer position performs unexpectedly, I Hwa 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 I Hwa will offset losses from the drop in I Hwa's long position.| Elitegroup Computer vs. Micro Star International Co | Elitegroup Computer vs. Gigabyte Technology Co | Elitegroup Computer vs. Compal Electronics | Elitegroup Computer vs. VIA Technologies |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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