Correlation Between FactSet Research and IPG Photonics
Can any of the company-specific risk be diversified away by investing in both FactSet Research 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 FactSet Research and IPG Photonics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FactSet Research Systems and IPG Photonics, you can compare the effects of market volatilities on FactSet Research 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 FactSet Research with a short position of IPG Photonics. Check out your portfolio center. Please also check ongoing floating volatility patterns of FactSet Research and IPG Photonics.
Diversification Opportunities for FactSet Research and IPG Photonics
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between FactSet and IPG is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding FactSet Research Systems and IPG Photonics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on IPG Photonics and FactSet Research 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 FactSet Research Systems 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 FactSet Research i.e., FactSet Research and IPG Photonics go up and down completely randomly.
Pair Corralation between FactSet Research and IPG Photonics
Considering the 90-day investment horizon FactSet Research Systems is expected to generate 0.56 times more return on investment than IPG Photonics. However, FactSet Research Systems is 1.77 times less risky than IPG Photonics. It trades about -0.02 of its potential returns per unit of risk. IPG Photonics is currently generating about -0.1 per unit of risk. If you would invest 48,658 in FactSet Research Systems on September 23, 2024 and sell it today you would lose (306.00) from holding FactSet Research Systems or give up 0.63% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
FactSet Research Systems vs. IPG Photonics
Performance |
Timeline |
FactSet Research Systems |
IPG Photonics |
FactSet Research and IPG Photonics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FactSet Research and IPG Photonics
The main advantage of trading using opposite FactSet Research and IPG Photonics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FactSet Research 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.FactSet Research vs. Dun Bradstreet Holdings | FactSet Research vs. Moodys | FactSet Research vs. MSCI Inc | FactSet Research vs. Intercontinental Exchange |
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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
Other Complementary Tools
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Stocks Directory Find actively traded stocks across global markets | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
FinTech Suite Use AI to screen and filter profitable investment opportunities |