Correlation Between Great Computer and Voltronic Power
Can any of the company-specific risk be diversified away by investing in both Great Computer and Voltronic Power 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 Great Computer and Voltronic Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Great Computer and Voltronic Power Technology, you can compare the effects of market volatilities on Great Computer and Voltronic Power 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 Great Computer with a short position of Voltronic Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Great Computer and Voltronic Power.
Diversification Opportunities for Great Computer and Voltronic Power
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Great and Voltronic is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Great Computer and Voltronic Power Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Voltronic Power Tech and Great 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 Great Computer are associated (or correlated) with Voltronic Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Voltronic Power Tech has no effect on the direction of Great Computer i.e., Great Computer and Voltronic Power go up and down completely randomly.
Pair Corralation between Great Computer and Voltronic Power
Assuming the 90 days trading horizon Great Computer is expected to generate 1.4 times more return on investment than Voltronic Power. However, Great Computer is 1.4 times more volatile than Voltronic Power Technology. It trades about 0.14 of its potential returns per unit of risk. Voltronic Power Technology is currently generating about -0.04 per unit of risk. If you would invest 1,475 in Great Computer on September 3, 2024 and sell it today you would earn a total of 525.00 from holding Great Computer or generate 35.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Great Computer vs. Voltronic Power Technology
Performance |
Timeline |
Great Computer |
Voltronic Power Tech |
Great Computer and Voltronic Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Great Computer and Voltronic Power
The main advantage of trading using opposite Great Computer and Voltronic Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Great Computer position performs unexpectedly, Voltronic Power 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 Voltronic Power will offset losses from the drop in Voltronic Power's long position.Great Computer vs. Airtac International Group | Great Computer vs. TECO Electric Machinery | Great Computer vs. Chung Hsin Electric Machinery | Great Computer vs. Ruentex Development 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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