Correlation Between IPG Photonics and Franklin Street
Can any of the company-specific risk be diversified away by investing in both IPG Photonics and Franklin Street 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 Franklin Street into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between IPG Photonics and Franklin Street Properties, you can compare the effects of market volatilities on IPG Photonics and Franklin Street 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 Franklin Street. Check out your portfolio center. Please also check ongoing floating volatility patterns of IPG Photonics and Franklin Street.
Diversification Opportunities for IPG Photonics and Franklin Street
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between IPG and Franklin is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding IPG Photonics and Franklin Street Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin Street Prop 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 Franklin Street. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin Street Prop has no effect on the direction of IPG Photonics i.e., IPG Photonics and Franklin Street go up and down completely randomly.
Pair Corralation between IPG Photonics and Franklin Street
Given the investment horizon of 90 days IPG Photonics is expected to generate 0.76 times more return on investment than Franklin Street. However, IPG Photonics is 1.31 times less risky than Franklin Street. It trades about 0.13 of its potential returns per unit of risk. Franklin Street Properties is currently generating about 0.06 per unit of risk. If you would invest 6,554 in IPG Photonics on September 5, 2024 and sell it today you would earn a total of 1,227 from holding IPG Photonics or generate 18.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
IPG Photonics vs. Franklin Street Properties
Performance |
Timeline |
IPG Photonics |
Franklin Street Prop |
IPG Photonics and Franklin Street Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IPG Photonics and Franklin Street
The main advantage of trading using opposite IPG Photonics and Franklin Street positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IPG Photonics position performs unexpectedly, Franklin Street 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 Franklin Street will offset losses from the drop in Franklin Street's long position.IPG Photonics vs. Teradyne | IPG Photonics vs. Ultra Clean Holdings | IPG Photonics vs. Onto Innovation | IPG Photonics vs. Cohu Inc |
Franklin Street vs. Equity Commonwealth | Franklin Street vs. Cousins Properties Incorporated | Franklin Street vs. Creative Media Community | Franklin Street vs. Highwoods Properties |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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