For those of you still interested in the results, in the 5 ETF Ivy Portfolio + SHY, the 3 month returns, 20 day returns, and 20
day volatility strategy returned 96.5 % (19.6 % CAGR) with 16.7 % volatility -LRB--5.7 % drawdown).
Not exact matches
In their May 2012 paper entitled «Adaptive Asset Allocation: A Primer», Adam Butler, Michael Philbrick and Rodrigo Gordillo backtest a progression of
strategies culminating in an Adaptive Asset Allocation (AAA)
strategy that incorporates return predictability from relative momentum (last 120 trading
days, about six months),
volatility predictability from recent
volatility (last 60 trading
days) and pairwise correlation predictability from recent correlations (last 250 trading
days).
The Impacts of Individual
Day Trading
Strategies on Market Liquidity and
Volatility: Evidence from the Taiwan Index Futures Market
Remarks: Due to their conceptual scope — and if not explicitly stated otherwise — , all models / setups /
strategies do not account for slippage, fees and transaction costs, do not account for return on cash and / or interest on margin, do not use position sizing (e.g. Kelly, optimal f)-- they're always «all in «-- , do not use leverage (e.g. leveraged ETFs), do not utilize any kind of abnormal market filter (e.g. during market phases with extremely elevated
volatility), do not use intraday buy / sell stops (end - of -
day prices only), and models / setups /
strategies are not «adaptive «(do not adjust to the ongoing changes in market conditions like bull and bear markets).
Whether you're after automated
day trading
strategies, or beginner and advanced tactics, you'll need to take into account three essential components;
volatility, liquidity and volume.
Regardless of your
strategy, whether it be value investing,
day trading, or even selling
volatility, listening to Kovner's advice can help take you to the next level.
In light of some recent minor
volatility in the stock market, I thought now would be a great time to revisit the very nature of dividend growth investing and why it's such a robust
strategy for those aiming to one
day live off of their growing dividend income.
DRS vs. Low
Volatility Strategies Button Text Strategy Comparison Series One of the new strategies attracting attention and assets these days is «low volatility»
Volatility Strategies Button Text Strategy Comparison Series One of the new strategies attracting attention and assets these days is «low volatility»
Strategies Button Text
Strategy Comparison Series One of the new
strategies attracting attention and assets these days is «low volatility»
strategies attracting attention and assets these
days is «low
volatility»
volatility» investing.
In their May 2012 paper entitled «Adaptive Asset Allocation: A Primer», Adam Butler, Michael Philbrick and Rodrigo Gordillo backtest a progression of
strategies culminating in an Adaptive Asset Allocation (AAA)
strategy that incorporates return predictability from relative momentum (last 120 trading
days, about six months),
volatility predictability from recent
volatility (last 60 trading
days) and pairwise correlation predictability from recent correlations (last 250 trading
days).
Finally, if we test a
strategy using the 3 month returns weighted 40 %, 20
day returns weighted 30 %, and 20
day volatility weighted at 30 % («3/20/20»), the Moose Portfolio performs as follows:
I also track the performance of a
strategy which combines the average of shorterm timeframes, the 3 month return, 20
day return, and 20
day volatility.
The Impacts of Individual
Day Trading
Strategies on Market Liquidity and
Volatility: Evidence from the Taiwan Index Futures Market
The
strategy ranks 13 ETFs based 40 % on the 3 month return, 30 % on the 20
day return, and 30 % based on the 20
day volatility.
The
strategy is to buy the top 2 ranked ETFs based on the weighting of the 6 and 3 month returns and 3 month
volatility (what I call the «6 / 3/3»
strategy) as well as the top 2 ranked ETFs based on the weighting of the 3 month and 20
day returns and 20
day volatility («3/20/20»).
However, even a consistent
strategy can seriously go wrong when confronted with the unusual volume and
volatility seen on specific
days.
And then there are the shelves and shelves of books on awesome investment
strategies: value investing,
day - trading, swing - trading,
volatility arbitrage, investing in wine / land / oil / Oompa - Loompa sex slaves..