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Momentum Strategy and Trading Calendar Updates

We have updated monthly asset class ETF momentum winners and associated performance data at Momentum Strategy.

We have updated the Trading Calendar to incorporate data for April 2016.

Weekly Summary of Research Findings: 4/25/16 – 4/29/16

Below is a weekly summary of our research findings for 4/25/16 through 4/29/16. These summaries give you a quick snapshot of our content the past week so that you can quickly decide what’s relevant to your investing needs.

Subscribers: To receive these weekly digests via email, click here to sign up for our mailing list. Keep Reading

Preliminary Momentum Strategy Update

The home page and “Momentum Strategy” now show preliminary asset class ETF momentum strategy positions for May 2016. Differences in past returns among the top places suggest that rankings are unlikely to change by the close.

SACEMS Portfolio-Asset Exclusion Testing

“Simple Asset Class ETF Momentum Strategy Universe Sensitivity” explores effects on basic strategy (Top 1) performance from excluding base set exchange-traded funds (ETF) one at a time. How do these exclusions affect the more diversified equally weighted top two (EW Top 2) and equally weighted top three (EW Top 3) portfolio variations? To investigate, we each month rank the following assets based on past return with one excluded (nine separate test sequences) and reform the Top 1, EW Top 2 and EW Top 3 portfolios:

PowerShares DB Commodity Index Tracking (DBC)
iShares MSCI Emerging Markets Index (EEM)
iShares MSCI EAFE Index (EFA)
SPDR Gold Shares (GLD)
iShares Russell 1000 Index (IWB)
iShares Russell 2000 Index (IWM)
SPDR Dow Jones REIT (RWR)
iShares Barclays 20+ Year Treasury Bond (TLT)
3-month Treasury bills (Cash)

The sample for the test starts with the first month all base set ETFs are available (February 2006). We focus on gross compound annual growth rate (CAGR) and gross maximum drawdown (MaxDD) as key performance statistics, ignoring monthly portfolio reformation costs. Using end-of-month total returns for the specified nine assets during February 2006 through March 2016, we find that: Keep Reading

SACEMS Portfolio-Asset Addition Testing

“Simple Asset Class ETF Momentum Strategy Universe Enhancers?” explores effects on basic strategy (Top 1) performance of adding 22 exchange-traded fund (ETF) or note (ETN) asset class proxies one at a time to the base set. How do these additions affect the more diversified equally weighted top two (EW Top 2) and equally weighted top three (EW Top 3) portfolio variations? To investigate, we again consider the following 22 ETFs/ETNs:

AlphaClone Alternative Alpha (ALFA)
JPMorgan Alerian MLP Index (AMJ)
Vanguard Total Bond Market (BND)
SPDR Barclays International Treasury Bond (BWX)
UBS ETRACS Wells Fargo Business Development Companies (BDCS)
iShares Core US Credit Bond (CRED)
First Trust US IPO Index (FPX)
PowerShares DB G10 Currency Harvest (DBV)
Guggenheim Frontier Markets (FRN)
iShares iBoxx High-Yield Corporate Bond (HYG)
iShares 7-10 Year Treasury Bond (IEF)
iPath DJ-UBS Copper Total Return Sub-Index (JJC)
PowerShares Closed-End Fund Income Composite (PCEF)
PowerShares Global Listed Private Equity (PSP)
IQ Hedge Multi-Strategy Tracker (QAI)
SPDR Dow Jones International Real Estate (RWX)
ProShares UltraShort S&P 500 (SDS)
iShares TIPS Bond (TIP)
United States Oil (USO)
VelocityShares Daily Inverse VIX Short-Term (XIV)
iPath S&P 500 VIX Short-Term Futures (VXX)
iPath S&P 500 VIX Medium-Term Futures (VXZ)

The base set consists of:

PowerShares DB Commodity Index Tracking (DBC)
iShares MSCI Emerging Markets Index (EEM)
iShares MSCI EAFE Index (EFA)
SPDR Gold Shares (GLD)
iShares Russell 1000 Index (IWB)
iShares Russell 2000 Index (IWM)
SPDR Dow Jones REIT (RWR)
iShares Barclays 20+ Year Treasury Bond (TLT)
3-month Treasury bills (Cash)

Each month, we rank the base set plus one of the additional ETFs/ETNs based on past return and reform the Top 1, EW Top 2 and EW Top 3 portfolios. The sample starts with the first month all base set ETFs are available (February 2006), but inceptions for most of the additional ETFs/ETNs are after this month. We focus on gross compound annual growth rate (CAGR) and gross maximum drawdown (MaxDD) as key performance statistics, ignoring monthly reformation costs. Using end-of-month total returns for the specified 31 assets as available during February 2006 through March 2016, we find that: Keep Reading

Commodity-Currency Interactions

Do commodity price changes predict currency exchange rate fluctuations for commodity-exporting countries? In their March 2016 paper entitled “When the Walk is Not Random: Commodity Prices and Exchange Rates”, Emanuel Kohlscheen, Fernando Avalos  and Andreas Schrimpf analyze relationships between commodity prices and exporter exchange rates. They first construct daily commodity export price indexes tailored to 11 commodity-exporting countries (Australia, Brazil, Canada, Chile, Colombia, Malaysia, Mexico, Norway, Peru, Russia, South Africa), encompassing 83 commodities (26 metal, 36 agricultural, 11 livestock, 10 energy). They then relate index levels to daily currency exchange rates by country. Using daily UN Comtrade statistics, commodity prices and currency exchange rates in U.S. dollars and Japanese yen as available during January 2004 (Malaysia starts in August 2005, and Russia starts in February 2009) through February 2015, they find that: Keep Reading

Dual Momentum with Multi-market Breadth Crash Protection

Does adding crash protection based on global market breadth enhance the reliability of dual momentum? In their April 2016 paper entitled “Protective Asset Allocation (PAA): A Simple Momentum-Based Alternative for Term Deposits”, Wouter Keller and Jan Willem Keuning examine a multi-class, dual-momentum portfolio allocation strategy with crash protection based on multi-market breadth. Their principal goal is consistently positive returns, at least 95% (99%) of 1-year rolling returns not below 0% (-5%). Their investment universe is 13 exchange-traded funds (ETF), 12 risky (SPY, QQQ, IWM, VGK, EWJ, EEM, IYR, GSG, GLD, HYG, LQD, TLT) and one safe (IEF). Each month, they:

  1. Measure the momentum of each risky ETF as ratio of current price to simple moving average (SMA) of monthly prices over the past 3, 6, 9 or 12 months, minus one.
  2. Specify the safe ETF allocation as number of risky assets with non-positive momentum divided by 12 (low crash protection), 9 (medium crash protection) or 6 (high crash protection). For example, if 3 of 12 risky assets have zero or negative momentum, the IEF allocation for high crash protection is 3/6 = 50%.
  3. Allocate the balance of the portfolio to the equally weighted 1, 2, 3, 4, 5 or 6 risky assets with the highest positive momentum (reducing the number of risky assets held if not enough have positive momentum).

The interactions of four SMA measurement intervals, three crash protection levels and six risky asset groupings yield 72 combinations. They first identify the optimal combination in-sample during 1971 through 1992 and then test this combination out-of-sample since 1992. Prior to ETF inception dates, they simulate ETF prices based on underlying indexes. They assume constant one-way trading frictions 0.1%, acknowledging that this level may be too low for early years and too high for recent years. They focus on a monthly rebalanced 60% allocation to SPY and 40% allocation to IEF (60/40) as a benchmark. Using monthly simulated/actual ETF total return series during December 1969 through December 2015, they find that: Keep Reading

Any Seasonality for Gold or Gold Miners?

Do gold and gold mining stocks exhibit distinct seasonality? Using monthly closes for the spot price of gold in dollars per ounce and the S&P 500 Index since January 1979, PHLX Gold/Silver Sector (XAU) since December 1983, AMEX Gold Bugs Index (HUI) since June 1996 and SPDR Gold Shares (GLD) since November 2004, all through March 2016, we find that: Keep Reading

Continue to archive for older articles

Editor Archive Picks

Update SACEVS with End-of-quarter Instead of Quarterly Average Yields?

…d the two modifications. Results are very similar. How do allocated weights translate into cumulative performance? The next chart compares gross cumulative values of $100,000 initial investments in the Best Value versions of SACEVS, SACEVS:EOQ and SACEVS:EOQ-1 over the available sample period. Calculations derive from the following assumptions: Reallocate/rebalance at the close on the last trading day of each quarter. Ignore trading frictions…

SACEMS-SACEVS Mutual Diversification

…e monthly returns for the SACEVS and the SACEMS exchange-traded fund (ETF) selections and look at the performance of an equally weighted portfolio of the two strategies, rebalanced monthly (50-50). Specifically, we consider: SACEVS Best Value paired with SACEMS Top 1; and, SACEVS Weighted paired with SACEMS Equally Weighted (EW) Top 3. Using monthly gross returns for SACEVS Best Value and SACEMS Top 1 since January 2003 and for SACEVS Weighted…

Update SACEVS Monthly Instead of Quarterly?

…of measures of the term risk, credit risk and equity risk premiums: 3-month Treasury bills (Cash)iShares 7-10 Year Treasury Bond (IEF)iShares iBoxx $ Investment Grade Corporate Bond (LQD)SPDR S&P 500 (SPY) One version of SACEVS (Best Value) picks the most undervalued premium. Another (Weighted) weights all undervalued premiums according to degree of undervaluation. Premium calculations and SACEVS portfolio allocations are quarterly per the…

Effects of Execution Delay on SACEVS

…for all 21 variations of signal execution delay. Results are noisy, due in part to slight differences in start and stop dates, but do not indicate harm from delaying execution up to EOM+7. What about the Weighted version of SACEVS? The next chart compares CAGRs and MaxDDs for the Weighted version of SACEVS for all 21 variations of signal execution delay. Results suggest that delaying execution is modestly harmful, more noticeably for delays of…

SACEVS Modifications

We have made three changes to the “Simple Asset Class ETF Value Strategy” (SACEVS) based on results of robustness tests and subscriber comments: To employ fresher data, we decrease the SACEVS S&P 500 Index level and bond/bill yield measurement interval from quarterly to monthly. S&P 500 Index operating earnings updates are still quarterly. To employ fresher data, we use end-of-measurement interval (end-of-month) bond/bill…

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Current Momentum Winners

ETF Momentum Signal
for May 2016 (Final)

Winner ETF

Second Place ETF

Third Place ETF

Gross Compound Annual Growth Rates
(Since August 2006)
Top 1 ETF Top 2 ETFs
11.3% 11.5%
Top 3 ETFs SPY
12.4% 7.2%
Strategy Overview
Current Value Allocations

ETF Value Signal
for April 2016 (Final)

Cash

IEF

LQD

SPY

The asset with the highest allocation is the holding of the Best Value strategy.
Gross Compound Annual Growth Rates
(Since September 2002)
Best Value Weighted 60-40
12.7% 9.8% 7.9%
Strategy Overview
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