Correlation Between Ardmore Shpng and Seanergy Maritime
Can any of the company-specific risk be diversified away by investing in both Ardmore Shpng and Seanergy Maritime 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 Ardmore Shpng and Seanergy Maritime into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ardmore Shpng and Seanergy Maritime Holdings, you can compare the effects of market volatilities on Ardmore Shpng and Seanergy Maritime 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 Ardmore Shpng with a short position of Seanergy Maritime. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ardmore Shpng and Seanergy Maritime.
Diversification Opportunities for Ardmore Shpng and Seanergy Maritime
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Ardmore and Seanergy is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Ardmore Shpng and Seanergy Maritime Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Seanergy Maritime and Ardmore Shpng 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 Ardmore Shpng are associated (or correlated) with Seanergy Maritime. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Seanergy Maritime has no effect on the direction of Ardmore Shpng i.e., Ardmore Shpng and Seanergy Maritime go up and down completely randomly.
Pair Corralation between Ardmore Shpng and Seanergy Maritime
Considering the 90-day investment horizon Ardmore Shpng is expected to under-perform the Seanergy Maritime. But the stock apears to be less risky and, when comparing its historical volatility, Ardmore Shpng is 1.24 times less risky than Seanergy Maritime. The stock trades about -0.35 of its potential returns per unit of risk. The Seanergy Maritime Holdings is currently generating about -0.18 of returns per unit of risk over similar time horizon. If you would invest 1,087 in Seanergy Maritime Holdings on September 3, 2024 and sell it today you would lose (279.00) from holding Seanergy Maritime Holdings or give up 25.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Ardmore Shpng vs. Seanergy Maritime Holdings
Performance |
Timeline |
Ardmore Shpng |
Seanergy Maritime |
Ardmore Shpng and Seanergy Maritime Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ardmore Shpng and Seanergy Maritime
The main advantage of trading using opposite Ardmore Shpng and Seanergy Maritime positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ardmore Shpng position performs unexpectedly, Seanergy Maritime 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 Seanergy Maritime will offset losses from the drop in Seanergy Maritime's long position.Ardmore Shpng vs. International Seaways | Ardmore Shpng vs. Scorpio Tankers | Ardmore Shpng vs. Dorian LPG | Ardmore Shpng vs. Teekay Tankers |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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