Correlation Between Lyxor 1 and Toronto Dominion
Can any of the company-specific risk be diversified away by investing in both Lyxor 1 and Toronto Dominion 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 Lyxor 1 and Toronto Dominion into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lyxor 1 and The Toronto Dominion Bank, you can compare the effects of market volatilities on Lyxor 1 and Toronto Dominion 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 Lyxor 1 with a short position of Toronto Dominion. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lyxor 1 and Toronto Dominion.
Diversification Opportunities for Lyxor 1 and Toronto Dominion
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Lyxor and Toronto is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Lyxor 1 and The Toronto Dominion Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Toronto Dominion and Lyxor 1 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 Lyxor 1 are associated (or correlated) with Toronto Dominion. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Toronto Dominion has no effect on the direction of Lyxor 1 i.e., Lyxor 1 and Toronto Dominion go up and down completely randomly.
Pair Corralation between Lyxor 1 and Toronto Dominion
Assuming the 90 days trading horizon Lyxor 1 is expected to generate 1.45 times less return on investment than Toronto Dominion. But when comparing it to its historical volatility, Lyxor 1 is 1.02 times less risky than Toronto Dominion. It trades about 0.22 of its potential returns per unit of risk. The Toronto Dominion Bank is currently generating about 0.32 of returns per unit of risk over similar time horizon. If you would invest 5,211 in The Toronto Dominion Bank on April 22, 2025 and sell it today you would earn a total of 1,139 from holding The Toronto Dominion Bank or generate 21.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Lyxor 1 vs. The Toronto Dominion Bank
Performance |
Timeline |
Lyxor 1 |
Toronto Dominion |
Lyxor 1 and Toronto Dominion Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lyxor 1 and Toronto Dominion
The main advantage of trading using opposite Lyxor 1 and Toronto Dominion positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lyxor 1 position performs unexpectedly, Toronto Dominion 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 Toronto Dominion will offset losses from the drop in Toronto Dominion's long position.Lyxor 1 vs. Lyxor Fed Funds | Lyxor 1 vs. Lyxor BofAML USD | Lyxor 1 vs. Lyxor Index Fund | Lyxor 1 vs. Lyxor 1 TecDAX |
Toronto Dominion vs. INDCOMMBK CHINA ADR20 | Toronto Dominion vs. Industrial and Commercial | Toronto Dominion vs. CHINA BANK ADR20 | Toronto Dominion vs. AGRICULTBK HADR25 YC |
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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