Correlation Between IPG Photonics and 01748TAC5
Specify exactly 2 symbols:
By analyzing existing cross correlation between IPG Photonics and ALLE 5411 01 JUL 32, you can compare the effects of market volatilities on IPG Photonics and 01748TAC5 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 01748TAC5. Check out your portfolio center. Please also check ongoing floating volatility patterns of IPG Photonics and 01748TAC5.
Diversification Opportunities for IPG Photonics and 01748TAC5
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between IPG and 01748TAC5 is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding IPG Photonics and ALLE 5411 01 JUL 32 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ALLE 5411 01 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 01748TAC5. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ALLE 5411 01 has no effect on the direction of IPG Photonics i.e., IPG Photonics and 01748TAC5 go up and down completely randomly.
Pair Corralation between IPG Photonics and 01748TAC5
Given the investment horizon of 90 days IPG Photonics is expected to under-perform the 01748TAC5. In addition to that, IPG Photonics is 2.29 times more volatile than ALLE 5411 01 JUL 32. It trades about -0.01 of its total potential returns per unit of risk. ALLE 5411 01 JUL 32 is currently generating about 0.01 per unit of volatility. If you would invest 9,812 in ALLE 5411 01 JUL 32 on September 2, 2024 and sell it today you would earn a total of 331.00 from holding ALLE 5411 01 JUL 32 or generate 3.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 77.82% |
Values | Daily Returns |
IPG Photonics vs. ALLE 5411 01 JUL 32
Performance |
Timeline |
IPG Photonics |
ALLE 5411 01 |
IPG Photonics and 01748TAC5 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IPG Photonics and 01748TAC5
The main advantage of trading using opposite IPG Photonics and 01748TAC5 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IPG Photonics position performs unexpectedly, 01748TAC5 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 01748TAC5 will offset losses from the drop in 01748TAC5's long position.IPG Photonics vs. Teradyne | IPG Photonics vs. Ultra Clean Holdings | IPG Photonics vs. Onto Innovation | IPG Photonics vs. Entegris |
01748TAC5 vs. NioCorp Developments Ltd | 01748TAC5 vs. IPG Photonics | 01748TAC5 vs. Parker Hannifin | 01748TAC5 vs. Cementos Pacasmayo SAA |
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Other Complementary Tools
Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
Stocks Directory Find actively traded stocks across global markets | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |