Consolidated Returns as of 30 November 2024
Managing the Merrill Lynch Edge Select Conservative Portfolio with a yearly rebalancing, you would have obtained a 7.06% compound annual return in the last 30 Years.
With a quarterly rebalancing, over the same period, the return would have been 5.39%.
How do returns and drawdowns change, implementing different rebalancing strategies?
Rebalancing Strategies
In order to keep risk under control, you should rebalance assets quotes from time to time, so to keep them at the original percentage of the asset allocation.
At fixed time intervals:
- Yearly: Jan 1st
- Half Yearly: Jan 1st, Jul 1st
- Quarterly: Jan 1st, Apr 1st, Jul 1st, Oct 1st
Portfolio Returns as of Nov 30, 2024
Implementing different rebalancing strategies, the Merrill Lynch Edge Select Conservative Portfolio guaranteed the following returns.
Portfolio returns are calculated in USD, assuming:
- No fees or capital gain taxes
- the reinvestment of dividends, if existing
| Return (%) and number of rebalances as of Nov 30, 2024 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Rebalancing Strategy | 1Y | 5Y | 10Y | 30Y |
MAX (~40Y) |
|||||
| No Rebalancing | 22.77 | (0) | 8.36 | (0) | 7.29 | (0) | 7.06 | (0) | 7.94 | (0) |
| Yearly Rebalancing | 11.00 | (1) | 3.43 | (5) | 3.68 | (10) | 5.47 | (30) | 6.69 | (40) |
| Half Yearly Rebalancing | 10.88 | (2) | 3.42 | (10) | 3.66 | (20) | 5.39 | (60) | 6.62 | (80) |
| Quarterly Rebalancing | 10.88 | (4) | 3.50 | (20) | 3.70 | (40) | 5.44 | (120) | 6.66 | (160) |
| 5% Tolerance per asset | 11.45 | (0) | 3.75 | (1) | 3.88 | (2) | 5.53 | (4) | 6.76 | (6) |
| 10% Tolerance per asset | 15.03 | (0) | 4.75 | (0) | 4.42 | (0) | 5.67 | (2) | 6.87 | (2) |
In order to have complete information about the portfolio, please refer to the Merrill Lynch Edge Select Conservative Portfolio: ETF allocation and returns page.
Performances as of Nov 30, 2024
Historical returns and stats of Merrill Lynch Edge Select Conservative Portfolio, after implementing different rebalancing strategies.
|
Standard Deviation
|
Max Drawdown (%)
|
|||||
|---|---|---|---|---|---|---|
| Rebalancing Strategy | Return % | Std Dev(%) | Ret. / Std Dev | MaxDD(%) | Ret. / MaxDD | |
| No Rebalancing | 7.94 | (0) | 7.22 | 1.10 | -22.99 | 0.35 |
| Yearly Rebalancing | 6.69 | (40) | 4.54 | 1.47 | -12.44 | 0.54 |
| Half Yearly Rebalancing | 6.62 | (80) | 4.53 | 1.46 | -12.63 | 0.52 |
| Quarterly Rebalancing | 6.66 | (160) | 4.56 | 1.46 | -12.74 | 0.52 |
| 5% Tolerance per asset | 6.76 | (6) | 4.73 | 1.43 | -12.71 | 0.53 |
| 10% Tolerance per asset | 6.87 | (2) | 5.31 | 1.29 | -15.17 | 0.45 |
Drawdowns as of Nov 30, 2024
Historical Drawdowns of Merrill Lynch Edge Select Conservative Portfolio, after implementing different rebalancing strategies.
|
Rebalancing
|
Tolerance per asset
|
||||
|---|---|---|---|---|---|
| No Rebalancing | Yearly | Half Yearly | Quarterly | 5% | 10% |
|
-22.99
Nov 2007 - Sep 2010
|
-12.44
Jan 2022 - Mar 2024
|
-12.63
Sep 2021 - Mar 2024
|
-12.74
Sep 2021 - Mar 2024
|
-12.71
Sep 2021 - Mar 2024
|
-15.17
Jan 2022 - Mar 2024
|
|
-20.09
Jan 2022 - Feb 2024
|
-10.97
May 2008 - Aug 2009
|
-11.60
May 2008 - Sep 2009
|
-12.04
May 2008 - Sep 2009
|
-12.03
Nov 2007 - Nov 2009
|
-14.70
Nov 2007 - Feb 2010
|
|
-11.92
Feb 2020 - Jul 2020
|
-5.44
Sep 1987 - Feb 1988
|
-4.57
Feb 2020 - Jun 2020
|
-4.57
Feb 2020 - May 2020
|
-5.85
Feb 2020 - Jul 2020
|
-6.57
Sep 1987 - Feb 1988
|
|
-8.93
Sep 2000 - Jun 2003
|
-4.57
Feb 2020 - Jun 2020
|
-4.47
Sep 1987 - Jan 1988
|
-4.22
Aug 1990 - Dec 1990
|
-4.88
Sep 1987 - Feb 1988
|
-6.15
Feb 2020 - Jul 2020
|
|
-7.14
Sep 2018 - Mar 2019
|
-4.06
Aug 1990 - Dec 1990
|
-4.22
Aug 1990 - Dec 1990
|
-4.07
Sep 1987 - Jan 1988
|
-4.52
Aug 1990 - Dec 1990
|
-6.12
Aug 1990 - Jan 1991
|
| 5 Worst Drawdowns - Average | |||||
| -14.21 | -7.50 | -7.50 | -7.53 | -8.00 | -9.74 |
| 10 Worst Drawdowns - Average | |||||
| -10.07 | -5.19 | -5.16 | -5.19 | -5.70 | -6.83 |
For a deeper insight, please refer to the Merrill Lynch Edge Select Conservative Portfolio: ETF allocation and returns page.
