Correlation Between HYDROFARM HLD and Deutsche Pfandbriefbank
Can any of the company-specific risk be diversified away by investing in both HYDROFARM HLD and Deutsche Pfandbriefbank 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 HYDROFARM HLD and Deutsche Pfandbriefbank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HYDROFARM HLD GRP and Deutsche Pfandbriefbank AG, you can compare the effects of market volatilities on HYDROFARM HLD and Deutsche Pfandbriefbank 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 HYDROFARM HLD with a short position of Deutsche Pfandbriefbank. Check out your portfolio center. Please also check ongoing floating volatility patterns of HYDROFARM HLD and Deutsche Pfandbriefbank.
Diversification Opportunities for HYDROFARM HLD and Deutsche Pfandbriefbank
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between HYDROFARM and Deutsche is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding HYDROFARM HLD GRP and Deutsche Pfandbriefbank AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Deutsche Pfandbriefbank and HYDROFARM HLD 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 HYDROFARM HLD GRP are associated (or correlated) with Deutsche Pfandbriefbank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Deutsche Pfandbriefbank has no effect on the direction of HYDROFARM HLD i.e., HYDROFARM HLD and Deutsche Pfandbriefbank go up and down completely randomly.
Pair Corralation between HYDROFARM HLD and Deutsche Pfandbriefbank
Assuming the 90 days trading horizon HYDROFARM HLD GRP is expected to generate 2.87 times more return on investment than Deutsche Pfandbriefbank. However, HYDROFARM HLD is 2.87 times more volatile than Deutsche Pfandbriefbank AG. It trades about 0.01 of its potential returns per unit of risk. Deutsche Pfandbriefbank AG is currently generating about -0.01 per unit of risk. If you would invest 61.00 in HYDROFARM HLD GRP on October 24, 2024 and sell it today you would lose (4.00) from holding HYDROFARM HLD GRP or give up 6.56% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
HYDROFARM HLD GRP vs. Deutsche Pfandbriefbank AG
Performance |
Timeline |
HYDROFARM HLD GRP |
Deutsche Pfandbriefbank |
HYDROFARM HLD and Deutsche Pfandbriefbank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with HYDROFARM HLD and Deutsche Pfandbriefbank
The main advantage of trading using opposite HYDROFARM HLD and Deutsche Pfandbriefbank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HYDROFARM HLD position performs unexpectedly, Deutsche Pfandbriefbank 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 Deutsche Pfandbriefbank will offset losses from the drop in Deutsche Pfandbriefbank's long position.HYDROFARM HLD vs. Entravision Communications | HYDROFARM HLD vs. Align Technology | HYDROFARM HLD vs. SMA Solar Technology | HYDROFARM HLD vs. Grupo Carso SAB |
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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 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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