Correlation Between Arrow Financial and IPG Photonics
Can any of the company-specific risk be diversified away by investing in both Arrow Financial 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 Arrow Financial and IPG Photonics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Arrow Financial and IPG Photonics, you can compare the effects of market volatilities on Arrow Financial 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 Arrow Financial with a short position of IPG Photonics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Arrow Financial and IPG Photonics.
Diversification Opportunities for Arrow Financial and IPG Photonics
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Arrow and IPG is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Arrow Financial and IPG Photonics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on IPG Photonics and Arrow Financial 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 Arrow Financial 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 Arrow Financial i.e., Arrow Financial and IPG Photonics go up and down completely randomly.
Pair Corralation between Arrow Financial and IPG Photonics
Given the investment horizon of 90 days Arrow Financial is expected to generate 1.54 times more return on investment than IPG Photonics. However, Arrow Financial is 1.54 times more volatile than IPG Photonics. It trades about 0.2 of its potential returns per unit of risk. IPG Photonics is currently generating about -0.1 per unit of risk. If you would invest 2,882 in Arrow Financial on September 2, 2024 and sell it today you would earn a total of 416.00 from holding Arrow Financial or generate 14.43% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Arrow Financial vs. IPG Photonics
Performance |
| Timeline |
| Arrow Financial |
| IPG Photonics |
Arrow Financial and IPG Photonics Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Arrow Financial and IPG Photonics
The main advantage of trading using opposite Arrow Financial and IPG Photonics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Arrow Financial 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.| Arrow Financial vs. Affinity Bancshares | Arrow Financial vs. Auburn National Bancorporation | Arrow Financial vs. BayCom Corp | Arrow Financial vs. Community West Bancshares |
| IPG Photonics vs. Teradyne | IPG Photonics vs. Ultra Clean Holdings | IPG Photonics vs. Onto Innovation | IPG Photonics vs. Entegris |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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