Correlation Between Shin Ruenn and Cameo Communications
Can any of the company-specific risk be diversified away by investing in both Shin Ruenn and Cameo Communications 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 Shin Ruenn and Cameo Communications into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shin Ruenn Development and Cameo Communications, you can compare the effects of market volatilities on Shin Ruenn and Cameo Communications 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 Shin Ruenn with a short position of Cameo Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shin Ruenn and Cameo Communications.
Diversification Opportunities for Shin Ruenn and Cameo Communications
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Shin and Cameo is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Shin Ruenn Development and Cameo Communications in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cameo Communications and Shin Ruenn 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 Shin Ruenn Development are associated (or correlated) with Cameo Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cameo Communications has no effect on the direction of Shin Ruenn i.e., Shin Ruenn and Cameo Communications go up and down completely randomly.
Pair Corralation between Shin Ruenn and Cameo Communications
Assuming the 90 days trading horizon Shin Ruenn Development is expected to generate 0.91 times more return on investment than Cameo Communications. However, Shin Ruenn Development is 1.1 times less risky than Cameo Communications. It trades about 0.06 of its potential returns per unit of risk. Cameo Communications is currently generating about 0.01 per unit of risk. If you would invest 3,490 in Shin Ruenn Development on October 26, 2024 and sell it today you would earn a total of 2,330 from holding Shin Ruenn Development or generate 66.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Shin Ruenn Development vs. Cameo Communications
Performance |
Timeline |
Shin Ruenn Development |
Cameo Communications |
Shin Ruenn and Cameo Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shin Ruenn and Cameo Communications
The main advantage of trading using opposite Shin Ruenn and Cameo Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shin Ruenn position performs unexpectedly, Cameo Communications 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 Cameo Communications will offset losses from the drop in Cameo Communications' long position.Shin Ruenn vs. Tainet Communication System | Shin Ruenn vs. De Licacy Industrial | Shin Ruenn vs. Mobiletron Electronics Co | Shin Ruenn vs. Yi Jinn Industrial |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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