Blog Archives

Improvement Update to the iM-Best12(USMV)-Trader: Trading the Stocks of the iShares Minimum Volatility ETF – USMV

  • The iM-Best12(USMV)-Trader periodically invests in the 12 highest ranked stocks of USMV which currently holds 208 large-cap stocks.
  • This strategy, postulated in 2014, has produced from the end of Jun-2014 to end of Feb-2018 an annualized return of 16.1% versus 11.9% for USMV, and 11.5% for SPY.
  • We have now changed the trading rules and ranking system which we believe will provide improved returns with low turnover in the future.

In this 2014 article we showed that better returns than those from the ETF could be obtained by applying a ranking system to the stock holding of USMV (the universe), and investing periodically only in the 12 highest ranked stocks, bought and sold according to certain rules.
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Improvement Update to the iM-Best10(VDIGX)-Trader: Trading the Stocks of the Vanguard Dividend Growth Fund – VDIGX

  • The iM-Best10(VDIGX)-Trader periodically invests in the ten highest ranked stocks of VDIGX which currently holds 45 large-cap stocks.
  • This strategy, postulated in 2014, has produced from end of Jun-2014 to end of Feb-2018 an annualized return of 17.7% versus 9.9% for VDIGX, and 11.5% for SPY.
  • We have now changed the trading rules and ranking system which we believe will provide improved returns with low turnover in the future.

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How Good is Vanguard’s new U.S. Momentum Factor ETF (VFMO)

  • As of Feb-24-2018 VFMO holds 637 Russell 3000 stocks, selected according to a rules-based screen for relatively strong recent performance and liquidity. They show a 1-year average return of 62%.
  • Using similar screening criteria we selected a portfolio of 639 stocks on Feb-24-2018 which had a 1-year average return of 71%. It holds 501 stocks in common with VFMO.
  • Similar screening rules selected 576 stocks on Feb-24-2017 which showed an average return of 105% over the preceding year, but 0% return over the following 6 months to Aug-24-2018.
  • Vanguard’s easily replicated selection process appears to be greatly influenced by survivorship bias. It is unlikely that VFMO will show a higher return than MTUM or SPY in the future.

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Deja Vu 2007 — Is the Stock Market Overvalued? Estimating Returns to 2020 and Beyond, Update Jan-2018

  • Based on its historic trend, the stock market appears to be overvalued.
  • The Shiller Cyclically Adjusted Price to Earnings Ratio P/E10 is at high level of 33.5 (and P/E5 of 28.0), and a market correction is possible.
  • Similar conditions for the P/E5, and S&P-real’s position relative to the long-time trend, were observed only 3-times in the past: in 1937, 1998 and 2006.
  • The historic trend suggests a total probable real loss of about 15% over the next two years.
  • Analysts’ long-term forecasts of stock returns made 7 years ago appear to have been unrealistically low.

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How to Avoid the Coming Bear Market Indicated by Shiller’s CAPE Ratio: Update December 2017

  • The Cyclically Adjusted Price to Earnings Ratio (CAPE ratio) is at 32.1, a very high level which signals overvaluation of stocks and low forward returns, according to Shiller.
  • This level was only exceeded twice in the last 136 years, in Sep-1929 and from Jul-1997 to Jul-2001, with market declines of 77% and 45% then recorded.
  • The Moving Average CAPE Ratio Methodology used here references stock market valuation to a 35-year moving average of the Shiller CAPE ratio instead of the 1881-2017 long-term average.
  • Based on the 35-year moving average methodology, historic market performance points towards continuing up-market conditions, possibly for a number of years.
  • To avoid the bear market, exit stocks when the spread between the 5-month and 25-month moving averages of S&P-real becomes negative and simultaneously the CAPE-Cycle-ID score is 0 or -2.

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Improve on Vanguard LifeStrategy Growth Funds with a Dynamic Strategy

  • The founder of Vanguard, Jack Bogle, says that over the next decade a conservative portfolio of bonds will only return about 3% a year and stocks about 4% a year.
  • However, returns can be improved with a dynamic asset-allocation strategy that adjusts stock- and bond-fund holdings in a retirement account according to market climate.
  • The Vanguard LifeStrategy Moderate Growth Fund (VSMGX) holds static investments of 60% equity and 40% bond funds and is compared to our dynamic strategy model.
  • Our iM-DMAC(60:40) model, designed for retirement saving and withdrawal management, holds identical assets as VSMGX in up-market conditions but switches to 100% bond funds during equity down-market periods.
  • The result, the iM-DMAC(60:40) vastly outperforms VSMGX.

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How to Avoid the Coming Bear Market Indicated by Shiller’s CAPE Ratio

  • The Cyclically Adjusted Price to Earnings Ratio (CAPE ratio) is at 30.2, a very high level which signals overvaluation of stocks and low forward returns, according to Shiller.
  • This level was only exceeded twice in the last 136 years, from Aug-1929 to Sep-1929 and from Jun-1997 to Jan-2002, with market declines of 77% and 45% then recorded.
  • The Moving Average CAPE Ratio Methodology used here references stock market valuation to a 35-year moving average of the Shiller CAPE ratio instead of the 1881-2017 long-term average.  
  • Based on the 35-year moving average methodology, historic market performance points towards continuing up-market conditions, possibly for a number of years.
  • To avoid the bear market, exit stocks when the spread between the 5-month and 25-month moving averages of S&P-real becomes negative and simultaneously the CAPE-Cycle-ID score is 0 or -2.

Shiller warns in his recent commentary The Coming Bear Market? :
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The 3ETF-Trader plus

  • This system holds three ETFs according to stock market climate.
  • Typically, during good-equity markets it holds equity- and leveraged-equity ETFs SPY, SSO, and UPRO.
  • During bad-equity markets it holds leveraged short equity, short equity, and gold-ETFs SDS, SH, and GLD.
  • It never holds fixed income ETFs, so we don’t have to worry about rising rates.

The model was backtested on the on-line simulation platform Portfolio 123 which also provides extended price data for ETFs prior to their inception dates calculated from their proxies. Trading costs, including slippage, were assumed as 0.1% of the trade amounts using closing prices.
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Profiting from Market Volatility with the “Anti-VIX” ETN ZIV

  • The “Anti-VIX” ETN ZIV is designed to increase in value when the volatility of the S&P 500 decreases, as measured by the prices of VIX futures contracts.
  • The model buys ZIV only during up-markets when the VIX > 17 and rising, otherwise during up-markets it buys either QLD or DDM, or IEF when upmarket conditions are absent.
  • A backtest of the model from Jan-2011 to Jul-2017 produced a high 60% annualized return with a maximum drawdown of -16% with only 41realized trades.

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Profiting from Market Volatility with the “Anti-VIX” ETF SVXY

  • The “Anti-VIX” ETF SVXY is designed to increase in value when the volatility of the S&P 500 decreases, as measured by the prices of VIX futures contracts.
  • Extended data of SVXY, the ProShares Short VIX Short-Term Futures ETF, from Jan-2006 to the fund’s inception date was calculated from its proxy, the S&P 500 VIX Short-Term Futures Index.
  • SVXY is intended for short-term use. Using the extended price data, a buy-and-hold strategy of the hypothetical SVXY resulted in a huge loss of over 90% from 2007 to 2009.
  • The model buys SVXY only during up-markets when the VIX > 17 and rising, otherwise during up-markets it buys either QLD or DDM, or IEF when upmarket conditions are absent.
  • A backtest of the model from Jan-2007 to Jul-2017 produced a high 70% annualized return with a maximum drawdown of -27% with only 76 realized trades.

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