sixdollars wrote:
I know none of us can predict the future... I just thought it might be a fun thought experiment to see if there were ways to modify the rebalancing strategy to make it more resilient. It was touched upon that the Variable Portfolio could be used to insure against this going forward. Solutions like this intrigue me
You could split your assets into a "normal PP" and a "momentum rebalanced" PP (actually VP) following a modified Mebane Faber (Ivy Portfolio) rebalancing discipline. Faber's approach is you invest or switch into cash (per asset) at the end of each month depending on the 10 month simple monthly moving average (Current price above the SMA? Stay in or get in. Price below the SMA? Stay out or get out.) You could combine this with rebalancing to determine when to buy/sell each asset. Below your rebalance band but price below the SMA? Don't rebalance this asset yet (wait a month and see if the price is above the SMA). Above your rebalance band but price above the SMA? Also don't rebalance this asset yet (wait a month and see if the price is below the SMA). This would let winners run (without rebalancing) until the current price drops below the SMA. This would also keep you from rebalancing into an asset that is in a prolonged decline.
I'm not recommending this (it likely leads to extremely unbalanced allocations, which increases your risk of a significant loss due to a sudden decline in a single asset), and haven't done any backtesting (so it might prove to have been a terrible idea in some actual period in the not too distant past) - but it seems like it might address the specific situation you're concerned about.
Another variation might be "stop loss rebalancing". Instead of selling at peak minus 10% (or whatever your stop loss is), rebalance only after exceeding a rebalance band (on the high side) and then declining by 10%. Flipping this around on the low side would mean rebalancing after dropping below a rebalance band only when 10% higher than the most recent low.
You could do more complicated versions of each of these by adding absolute rebalance bands as well, i.e. do momentum or stop-loss rebalancing but if an asset reaches your absolute band (maybe 5%/45%) rebalance anyway.
If anyone's interested enough in any of these to do some backtesting, let us know what you find. My guess is which one of these three approaches wins (normal rebalancing, momentum rebalancing, stop-loss rebalancing) depends entirely on the specific data series that you test them against. Staying roughly balanced all the time (the normal approach) is definitely the least risky.
Missing only a few of the best and worst days of the stock market (and I assume this pertains to gold and LT bonds as well) dramatically affects returns. See
https://www.ifa.com//12steps/step4/miss ... worst_days . The real problem with any kind of momentum or stop-loss approach is that although you might miss some significant down days you're likely to miss the significant up days as well - in fact, since these signals are always late I actually suspect you're likely to have to generally endure the worst down days but generally miss the best up days.