Correlation Between Truist Financial and Sydbank AS
Can any of the company-specific risk be diversified away by investing in both Truist Financial and Sydbank AS 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 Truist Financial and Sydbank AS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Truist Financial and Sydbank AS, you can compare the effects of market volatilities on Truist Financial and Sydbank AS 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 Truist Financial with a short position of Sydbank AS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Truist Financial and Sydbank AS.
Diversification Opportunities for Truist Financial and Sydbank AS
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Truist and Sydbank is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Truist Financial and Sydbank AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sydbank AS and Truist Financial 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 Truist Financial are associated (or correlated) with Sydbank AS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sydbank AS has no effect on the direction of Truist Financial i.e., Truist Financial and Sydbank AS go up and down completely randomly.
Pair Corralation between Truist Financial and Sydbank AS
Assuming the 90 days horizon Truist Financial is expected to under-perform the Sydbank AS. But the stock apears to be less risky and, when comparing its historical volatility, Truist Financial is 1.72 times less risky than Sydbank AS. The stock trades about -0.39 of its potential returns per unit of risk. The Sydbank AS is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 4,764 in Sydbank AS on September 23, 2024 and sell it today you would lose (92.00) from holding Sydbank AS or give up 1.93% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Truist Financial vs. Sydbank AS
Performance |
Timeline |
Truist Financial |
Sydbank AS |
Truist Financial and Sydbank AS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Truist Financial and Sydbank AS
The main advantage of trading using opposite Truist Financial and Sydbank AS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Truist Financial position performs unexpectedly, Sydbank AS 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 Sydbank AS will offset losses from the drop in Sydbank AS's long position.Truist Financial vs. POSBO UNSPADRS20YC1 | Truist Financial vs. Postal Savings Bank | Truist Financial vs. OVERSEA CHINUNSPADR2 | Truist Financial vs. Oversea Chinese Banking |
Sydbank AS vs. POSBO UNSPADRS20YC1 | Sydbank AS vs. Postal Savings Bank | Sydbank AS vs. Truist Financial | Sydbank AS vs. OVERSEA CHINUNSPADR2 |
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 Valuation module to check real value of public entities based on technical and fundamental data.
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