Correlation Between GigaMedia and TOHOKU EL
Can any of the company-specific risk be diversified away by investing in both GigaMedia and TOHOKU EL 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 GigaMedia and TOHOKU EL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GigaMedia and TOHOKU EL PWR, you can compare the effects of market volatilities on GigaMedia and TOHOKU EL 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 GigaMedia with a short position of TOHOKU EL. Check out your portfolio center. Please also check ongoing floating volatility patterns of GigaMedia and TOHOKU EL.
Diversification Opportunities for GigaMedia and TOHOKU EL
Pay attention - limited upside
The 3 months correlation between GigaMedia and TOHOKU is -0.82. Overlapping area represents the amount of risk that can be diversified away by holding GigaMedia and TOHOKU EL PWR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TOHOKU EL PWR and GigaMedia 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 GigaMedia are associated (or correlated) with TOHOKU EL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TOHOKU EL PWR has no effect on the direction of GigaMedia i.e., GigaMedia and TOHOKU EL go up and down completely randomly.
Pair Corralation between GigaMedia and TOHOKU EL
Assuming the 90 days trading horizon GigaMedia is expected to generate 0.2 times more return on investment than TOHOKU EL. However, GigaMedia is 4.95 times less risky than TOHOKU EL. It trades about -0.11 of its potential returns per unit of risk. TOHOKU EL PWR is currently generating about -0.08 per unit of risk. If you would invest 135.00 in GigaMedia on September 12, 2024 and sell it today you would lose (2.00) from holding GigaMedia or give up 1.48% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
GigaMedia vs. TOHOKU EL PWR
Performance |
Timeline |
GigaMedia |
TOHOKU EL PWR |
GigaMedia and TOHOKU EL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GigaMedia and TOHOKU EL
The main advantage of trading using opposite GigaMedia and TOHOKU EL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GigaMedia position performs unexpectedly, TOHOKU EL 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 TOHOKU EL will offset losses from the drop in TOHOKU EL's long position.The idea behind GigaMedia and TOHOKU EL PWR pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.TOHOKU EL vs. GigaMedia | TOHOKU EL vs. Cass Information Systems | TOHOKU EL vs. MICRONIC MYDATA | TOHOKU EL vs. Penn National Gaming |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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