Correlation Between Olympic Steel and Ameriprise Financial
Can any of the company-specific risk be diversified away by investing in both Olympic Steel and Ameriprise Financial 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 Olympic Steel and Ameriprise Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Olympic Steel and Ameriprise Financial, you can compare the effects of market volatilities on Olympic Steel and Ameriprise Financial 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 Olympic Steel with a short position of Ameriprise Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Olympic Steel and Ameriprise Financial.
Diversification Opportunities for Olympic Steel and Ameriprise Financial
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Olympic and Ameriprise is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Olympic Steel and Ameriprise Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ameriprise Financial and Olympic Steel 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 Olympic Steel are associated (or correlated) with Ameriprise Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ameriprise Financial has no effect on the direction of Olympic Steel i.e., Olympic Steel and Ameriprise Financial go up and down completely randomly.
Pair Corralation between Olympic Steel and Ameriprise Financial
Given the investment horizon of 90 days Olympic Steel is expected to generate 3.37 times less return on investment than Ameriprise Financial. In addition to that, Olympic Steel is 1.85 times more volatile than Ameriprise Financial. It trades about 0.01 of its total potential returns per unit of risk. Ameriprise Financial is currently generating about 0.08 per unit of volatility. If you would invest 31,176 in Ameriprise Financial on September 30, 2024 and sell it today you would earn a total of 22,419 from holding Ameriprise Financial or generate 71.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Olympic Steel vs. Ameriprise Financial
Performance |
Timeline |
Olympic Steel |
Ameriprise Financial |
Olympic Steel and Ameriprise Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Olympic Steel and Ameriprise Financial
The main advantage of trading using opposite Olympic Steel and Ameriprise Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Olympic Steel position performs unexpectedly, Ameriprise Financial 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 Ameriprise Financial will offset losses from the drop in Ameriprise Financial's long position.Olympic Steel vs. Universal Stainless Alloy | Olympic Steel vs. Outokumpu Oyj ADR | Olympic Steel vs. Usinas Siderurgicas de | Olympic Steel vs. POSCO Holdings |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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