Correlation Between ASE Industrial and Air Products
Can any of the company-specific risk be diversified away by investing in both ASE Industrial and Air Products 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 Air Products 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 Air Products and, you can compare the effects of market volatilities on ASE Industrial and Air Products 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 Air Products. Check out your portfolio center. Please also check ongoing floating volatility patterns of ASE Industrial and Air Products.
Diversification Opportunities for ASE Industrial and Air Products
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between ASE and Air is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding ASE Industrial Holding and Air Products and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Air Products 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 Air Products. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Air Products has no effect on the direction of ASE Industrial i.e., ASE Industrial and Air Products go up and down completely randomly.
Pair Corralation between ASE Industrial and Air Products
Considering the 90-day investment horizon ASE Industrial Holding is expected to under-perform the Air Products. In addition to that, ASE Industrial is 1.39 times more volatile than Air Products and. It trades about -0.01 of its total potential returns per unit of risk. Air Products and is currently generating about 0.11 per unit of volatility. If you would invest 26,685 in Air Products and on September 2, 2024 and sell it today you would earn a total of 6,748 from holding Air Products and or generate 25.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ASE Industrial Holding vs. Air Products and
Performance |
Timeline |
ASE Industrial Holding |
Air Products |
ASE Industrial and Air Products Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ASE Industrial and Air Products
The main advantage of trading using opposite ASE Industrial and Air Products positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ASE Industrial position performs unexpectedly, Air Products 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 Air Products will offset losses from the drop in Air Products' long position.ASE Industrial vs. NXP Semiconductors NV | ASE Industrial vs. GSI Technology | ASE Industrial vs. MaxLinear | ASE Industrial vs. Texas Instruments Incorporated |
Air Products vs. PPG Industries | Air Products vs. Sherwin Williams Co | Air Products vs. Ecolab Inc | Air Products vs. Albemarle Corp |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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