Correlation Between Toronto Dominion and AMG Acquisition
Can any of the company-specific risk be diversified away by investing in both Toronto Dominion and AMG Acquisition 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 Toronto Dominion and AMG Acquisition into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Toronto Dominion Bank and AMG Acquisition Corp, you can compare the effects of market volatilities on Toronto Dominion and AMG Acquisition 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 Toronto Dominion with a short position of AMG Acquisition. Check out your portfolio center. Please also check ongoing floating volatility patterns of Toronto Dominion and AMG Acquisition.
Diversification Opportunities for Toronto Dominion and AMG Acquisition
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Toronto and AMG is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Toronto Dominion Bank and AMG Acquisition Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AMG Acquisition Corp and Toronto Dominion 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 Toronto Dominion Bank are associated (or correlated) with AMG Acquisition. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AMG Acquisition Corp has no effect on the direction of Toronto Dominion i.e., Toronto Dominion and AMG Acquisition go up and down completely randomly.
Pair Corralation between Toronto Dominion and AMG Acquisition
Assuming the 90 days horizon Toronto Dominion Bank is expected to under-perform the AMG Acquisition. But the stock apears to be less risky and, when comparing its historical volatility, Toronto Dominion Bank is 10.29 times less risky than AMG Acquisition. The stock trades about -0.01 of its potential returns per unit of risk. The AMG Acquisition Corp is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 2.50 in AMG Acquisition Corp on August 30, 2024 and sell it today you would earn a total of 0.00 from holding AMG Acquisition Corp or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Toronto Dominion Bank vs. AMG Acquisition Corp
Performance |
Timeline |
Toronto Dominion Bank |
AMG Acquisition Corp |
Toronto Dominion and AMG Acquisition Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Toronto Dominion and AMG Acquisition
The main advantage of trading using opposite Toronto Dominion and AMG Acquisition positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Toronto Dominion position performs unexpectedly, AMG Acquisition 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 AMG Acquisition will offset losses from the drop in AMG Acquisition's long position.Toronto Dominion vs. Royal Bank of | Toronto Dominion vs. Bank of Nova | Toronto Dominion vs. Bank of Montreal | Toronto Dominion vs. Canadian Imperial Bank |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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