Correlation Between IPG Photonics and Dianthus Therapeutics
Can any of the company-specific risk be diversified away by investing in both IPG Photonics and Dianthus Therapeutics 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 Dianthus Therapeutics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between IPG Photonics and Dianthus Therapeutics, you can compare the effects of market volatilities on IPG Photonics and Dianthus Therapeutics 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 Dianthus Therapeutics. Check out your portfolio center. Please also check ongoing floating volatility patterns of IPG Photonics and Dianthus Therapeutics.
Diversification Opportunities for IPG Photonics and Dianthus Therapeutics
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between IPG and Dianthus is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding IPG Photonics and Dianthus Therapeutics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dianthus Therapeutics 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 Dianthus Therapeutics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dianthus Therapeutics has no effect on the direction of IPG Photonics i.e., IPG Photonics and Dianthus Therapeutics go up and down completely randomly.
Pair Corralation between IPG Photonics and Dianthus Therapeutics
Given the investment horizon of 90 days IPG Photonics is expected to under-perform the Dianthus Therapeutics. But the stock apears to be less risky and, when comparing its historical volatility, IPG Photonics is 2.52 times less risky than Dianthus Therapeutics. The stock trades about -0.03 of its potential returns per unit of risk. The Dianthus Therapeutics is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 1,233 in Dianthus Therapeutics on October 5, 2024 and sell it today you would earn a total of 1,279 from holding Dianthus Therapeutics or generate 103.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
IPG Photonics vs. Dianthus Therapeutics
Performance |
Timeline |
IPG Photonics |
Dianthus Therapeutics |
IPG Photonics and Dianthus Therapeutics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IPG Photonics and Dianthus Therapeutics
The main advantage of trading using opposite IPG Photonics and Dianthus Therapeutics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IPG Photonics position performs unexpectedly, Dianthus Therapeutics 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 Dianthus Therapeutics will offset losses from the drop in Dianthus Therapeutics' long position.IPG Photonics vs. Teradyne | IPG Photonics vs. Ultra Clean Holdings | IPG Photonics vs. Onto Innovation | IPG Photonics vs. Cohu Inc |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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