Correlation Between Visual Photonics and Episil Holding
Can any of the company-specific risk be diversified away by investing in both Visual Photonics and Episil Holding 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 Visual Photonics and Episil Holding into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Visual Photonics Epitaxy and Episil Holding, you can compare the effects of market volatilities on Visual Photonics and Episil Holding 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 Visual Photonics with a short position of Episil Holding. Check out your portfolio center. Please also check ongoing floating volatility patterns of Visual Photonics and Episil Holding.
Diversification Opportunities for Visual Photonics and Episil Holding
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Visual and Episil is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Visual Photonics Epitaxy and Episil Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Episil Holding and Visual Photonics 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 Visual Photonics Epitaxy are associated (or correlated) with Episil Holding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Episil Holding has no effect on the direction of Visual Photonics i.e., Visual Photonics and Episil Holding go up and down completely randomly.
Pair Corralation between Visual Photonics and Episil Holding
Assuming the 90 days trading horizon Visual Photonics Epitaxy is expected to generate 0.86 times more return on investment than Episil Holding. However, Visual Photonics Epitaxy is 1.16 times less risky than Episil Holding. It trades about -0.05 of its potential returns per unit of risk. Episil Holding is currently generating about -0.04 per unit of risk. If you would invest 16,900 in Visual Photonics Epitaxy on October 24, 2024 and sell it today you would lose (700.00) from holding Visual Photonics Epitaxy or give up 4.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Visual Photonics Epitaxy vs. Episil Holding
Performance |
Timeline |
Visual Photonics Epitaxy |
Episil Holding |
Visual Photonics and Episil Holding Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Visual Photonics and Episil Holding
The main advantage of trading using opposite Visual Photonics and Episil Holding positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Visual Photonics position performs unexpectedly, Episil Holding 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 Episil Holding will offset losses from the drop in Episil Holding's long position.Visual Photonics vs. WIN Semiconductors | Visual Photonics vs. Advanced Wireless Semiconductor | Visual Photonics vs. Elan Microelectronics Corp | Visual Photonics vs. King Yuan Electronics |
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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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