Correlation Between IPG Photonics and Insteel Industries
Can any of the company-specific risk be diversified away by investing in both IPG Photonics and Insteel Industries 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 IPG Photonics and Insteel Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between IPG Photonics and Insteel Industries, you can compare the effects of market volatilities on IPG Photonics and Insteel Industries 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 IPG Photonics with a short position of Insteel Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of IPG Photonics and Insteel Industries.
Diversification Opportunities for IPG Photonics and Insteel Industries
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between IPG and Insteel is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding IPG Photonics and Insteel Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Insteel Industries and IPG 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 IPG Photonics are associated (or correlated) with Insteel Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Insteel Industries has no effect on the direction of IPG Photonics i.e., IPG Photonics and Insteel Industries go up and down completely randomly.
Pair Corralation between IPG Photonics and Insteel Industries
Given the investment horizon of 90 days IPG Photonics is expected to under-perform the Insteel Industries. In addition to that, IPG Photonics is 1.1 times more volatile than Insteel Industries. It trades about -0.03 of its total potential returns per unit of risk. Insteel Industries is currently generating about 0.0 per unit of volatility. If you would invest 3,159 in Insteel Industries on September 1, 2024 and sell it today you would lose (211.00) from holding Insteel Industries or give up 6.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
IPG Photonics vs. Insteel Industries
Performance |
Timeline |
IPG Photonics |
Insteel Industries |
IPG Photonics and Insteel Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IPG Photonics and Insteel Industries
The main advantage of trading using opposite IPG Photonics and Insteel Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IPG Photonics position performs unexpectedly, Insteel Industries 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 Insteel Industries will offset losses from the drop in Insteel Industries' long position.IPG Photonics vs. Teradyne | IPG Photonics vs. Ultra Clean Holdings | IPG Photonics vs. Onto Innovation | IPG Photonics vs. Cohu Inc |
Insteel Industries vs. Mayville Engineering Co | Insteel Industries vs. Gulf Island Fabrication | Insteel Industries vs. ESAB Corp | Insteel Industries vs. Northwest Pipe |
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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