Correlation Between ASE Industrial and IPG Photonics
Can any of the company-specific risk be diversified away by investing in both ASE Industrial and IPG Photonics 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 ASE Industrial and IPG Photonics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ASE Industrial Holding and IPG Photonics, you can compare the effects of market volatilities on ASE Industrial and IPG Photonics 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 ASE Industrial with a short position of IPG Photonics. Check out your portfolio center. Please also check ongoing floating volatility patterns of ASE Industrial and IPG Photonics.
Diversification Opportunities for ASE Industrial and IPG Photonics
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between ASE and IPG is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding ASE Industrial Holding and IPG Photonics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on IPG Photonics and ASE Industrial 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 ASE Industrial Holding are associated (or correlated) with IPG Photonics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of IPG Photonics has no effect on the direction of ASE Industrial i.e., ASE Industrial and IPG Photonics go up and down completely randomly.
Pair Corralation between ASE Industrial and IPG Photonics
Considering the 90-day investment horizon ASE Industrial Holding is expected to generate 1.18 times more return on investment than IPG Photonics. However, ASE Industrial is 1.18 times more volatile than IPG Photonics. It trades about -0.01 of its potential returns per unit of risk. IPG Photonics is currently generating about -0.14 per unit of risk. If you would invest 1,001 in ASE Industrial Holding on December 17, 2024 and sell it today you would lose (35.00) from holding ASE Industrial Holding or give up 3.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ASE Industrial Holding vs. IPG Photonics
Performance |
Timeline |
ASE Industrial Holding |
IPG Photonics |
ASE Industrial and IPG Photonics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ASE Industrial and IPG Photonics
The main advantage of trading using opposite ASE Industrial and IPG Photonics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ASE Industrial position performs unexpectedly, IPG Photonics 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 IPG Photonics will offset losses from the drop in IPG Photonics' long position.ASE Industrial vs. United Microelectronics | ASE Industrial vs. Amkor Technology | ASE Industrial vs. Himax Technologies | ASE Industrial vs. Chunghwa Telecom Co |
IPG Photonics vs. Teradyne | IPG Photonics vs. Ultra Clean Holdings | IPG Photonics vs. Onto Innovation | IPG Photonics vs. Cohu Inc |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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