Tag Archives: financial

What Happens To ‘Hold-N-Hope’ Portfolios When An Economy Struggles To Expand?

Some analysts may dismiss 115 years of economic data. I do not. In particular, if one averages the results of four respected stock valuation methodologies, one finds that stocks are wildly expensive. Greater irrationality in stock price exuberance only existed during conditions prior to the Great Depression circa 1929 and the tech wreck of 2000. Consider the chart below. Based on the analysis by Doug Short, the widely cited Vice President of Research at Advisor Perspectives, the U.S. stock market is overvalued by 76%. It is worth noting that on all three occasions when the aggregate average approached two standard deviations above a geometric mean — 1929, 1999, 2007 — U.S. stocks collapsed by 50% or more. In addition, current valuation extremes surpass those reached in 2007. Investors should be mindful of the fact that Mr. Short does not typically offer “bearish” or “bullish” commentary. He usually provides investment and economic research, allowing others to draw their own conclusions. That said, he has served up bullet points on the high probability that market returns will be low over the next 7-10 years. Mr. Short has also mentioned that tactical asset allocation will be more important in the coming decade, as holding the S&P 500 for the next 7-10 years is likely to be “disappointing.” Keep in mind, elevated valuations in and of themselves may not provide much insight with respect to reducing risk in one’s portfolio. Years of valuation extremes can persist when other factors are at play. (Think central bank interest rate and balance sheet shenanigans.) Nevertheless, an economy that shows signs of stagnation coupled with signs of “risk-off” positioning can break the back of a stock market bull, particularly when interest rate manipulating, balance sheet expanding central banks are only running on fumes. I mentioned that the economy is stagnating and that signs of “risk-off” positioning are evident. Let me first address the economy. Corporations are not increasing their profits, as corporate earnings per share have declined for four consecutive quarters. Business revenue is even more abysmal. Companies have fallen back to 2012 levels with respect to revenue generation, and that does not even adjust for inflation. Click to enlarge Traditional retailers are struggling and some are disappearing (e.g., Wal-Mart, J.C Penney, Sears, Macy’s, Office Depot, Walgreens, Sports Authority, Sports Chalet, Aeropostale, etc.). Oil and gas? Yikes. According to reports on a Deloitte study, one-third of oil corporations may go belly up in 2016. The study focused on some 175-plus companies with more than $150 billion in debt. What about gross domestic product (GDP)? At a pace of 1% over the last six months, it is hardly expanding at all. Even the bright spot of job growth is deteriorating. Consider the Federal Reserve’s own Labor Market Condition’s Index (LMCI), which evaluates 19 unique indicators of labor market health. The LMCI peaked in April of 2014; its intermediate-moving average (6-months) peaked in August of 2014. (Note: S&P 500 earnings per share hit its all-time top in September of 2014, representing Q3 on 9/30/2014). Click to enlarge The 6-month moving average on the LMCI has not rolled into negative territory since the Great Recession (2007-2009). Before that, you’d need to look at the NASDAQ’s tech wreck and 2001 recession (2000-2002) for significant troubles in the well-being of the labor market. Does this mean that a recession is imminent? No. But it sure as heck means that labor market conditions are weakening. With “job growth” having been the one supposed saving grace in a slow-growing economy that required near 0% interest policy for seven-plus years, it seems optimism for a turnaround prior to a sell-off in risky assets would be misplaced. Of course, there are those that are keeping the faith with respect to stocks rallying well into the end of 2016 without a correction or bear. The thinking? As long as the economy muddles through, the Federal Reserve won’t be able to raise rates, and the dollar will move lower in the absence of tightening, and the lower dollar will help businesses increase their overseas sales and profitability. In other words, bad news will be good news for never-say-die hold-n-hopers. Unfortunately, there are a number of problems with the muddle-through scenario. Problemo numero uno? Household debt exceeds disposable personal income. Granted, Americans have been spending more than their take-home pay after taxes since 2001. Yet the modest deleveraging that occurred after the Great Recession has passed us by. Sooner or later, as families continue to accumulate increasing amounts of debt to spend more than they clear via disposable personal income, a retrenchment period comes to pass. Either households will be challenged in accessing credit (involuntary deleveraging) or they themselves will choose to borrow less in spite of ultra-low rates (voluntary deleveraging). Click to enlarge Economic data on consumption shows that the consumer has been softening. Bring disposable personal income into the picture, and the consumer is likely to weaken even more. The second problem for the muddle-through economy dream is the reality that “risk off” investing has been outperforming the U.S. market for 18 months already. 18 months. Consider the fact that three of the best performing assets in the 2008 systemic financial meltdown were the yen, the dollar and long-maturity treasury bonds. You could have invested in each via CurencyShares Yen Trust (NYSEARCA: FXY ), PowerShares Dollar Bullish (NYSEARCA: UUP ) and iShares 20+ Treasury Bond (NYSEARCA: TLT ). Over the last year-and-a-half, all three of these “risk-off” assets have beaten the SPDR S&P 500 Trust (NYSEARCA: SPY ). In sum, stock valuations are exorbitant, business sales are soft, consumption is strained, the labor market is weakening and “risk-off” assets are outperforming. Add it all up? There is limited upside reward for the risk one takes by remaining overexposed to equities and higher-yielding vehicles. If you normally leave 65%-70% in a diversified basket of stock (e.g., large-cap, mid-cap, small-cap, foreign, emerging, etc.), downshift to 45%-50% high quality larger-caps only. If you typically allot 30%-35% to diversified income (e.g., investment grade, cross-over corporate, high-yield, convertible, foreign, etc.), dial it back to 20%-25% investment grade only. The 25%/30%/35% that you raise in cash or cash equivalents by selling riskier assets at relatively higher prices will minimize portfolio volatility. More importantly, it will be the “dry powder” you require to buy “risk-on” assets at more attractive price in the future. Click here for Gary’s latest podcast. Disclosure: Gary Gordon, MS, CFP is the president of Pacific Park Financial, Inc., a Registered Investment Adviser with the SEC. Gary Gordon, Pacific Park Financial, Inc, and/or its clients may hold positions in the ETFs, mutual funds, and/or any investment asset mentioned above. The commentary does not constitute individualized investment advice. The opinions offered herein are not personalized recommendations to buy, sell or hold securities. At times, issuers of exchange-traded products compensate Pacific Park Financial, Inc. or its subsidiaries for advertising at the ETF Expert web site. ETF Expert content is created independently of any advertising relationships.

Smart Beta And The Portfolio Construction Puzzle

The portfolio puzzle The Rubik’s cube has become a popular metaphor for the marketing teams of ETF providers. With good reason. For each client there’s a portfolio construction puzzle to be solved with building blocks, representing geographies, sectors, asset classes, factors and styles. There has been rapid expansion from providers of ETFs tracking main-market indices, with the largest institutional providers capturing the lion’s share of flows, owing to their ability to deliver on four key ETF governance criteria — consistency, liquidity, transparency and, of course, price. This means that ETFs for main market cap-weighted indices are increasingly commoditized. After all, there doesn’t seem to be anything overly smart about replicating market beta, other than the smartness of saving on fees relative to ‘closet-tracker’ active funds. Traditional cap-weighted index investing is a preference: either out of philosophy or necessity. Innovation Means Smarter? Hence R&D of institutional investors, index providers and ETF manufacturers alike has focused more on “smart beta.” This has triggered a slew of innovation – both superficial and substantive. At a superficial end, age-old alternative weighting strategies (e.g. value indices that screen stocks for low book values, or dividend-weighted indices) have been re-branded as being “smart.” In these cases, for “smart” read “non-market-cap weighted.” In fairness, this rebranding is part of broadening of alternative weighting strategies that are factor-based. More substantively, research programs such as EDHEC-Risk Institute’s Scientific Beta have been instrumental in promoting fresh thinking in the field of both factor-based and risk-based smart beta strategies. Factor-Based Approach As a result, providers are focusing on making building blocks smarter. Instead of relying on the ‘traditional’ factor of market capitalization for index inclusion, smart beta indices (and related ETFs) look at alternative factors: book value, dividend yield, volatility, for example. In that respect, the FTSE Russell 1000 Value Index launched in 1987 is probably the oldest factor index on the block. More recent factor indices are stylistic: Both iShares (Oct-14) and Vanguard (Dec-15) have launched global equity factor ETFs focusing on liquidity, minimum volatility, momentum and value. The sophistication of factor-based index construction will continue to increase with the increase in data availability and computing power. Risk-Based Approach Portfolio strategists meanwhile can apply quantitative rules-based approaches to portfolio construction, creating static or dynamic asset allocation strategies from a growing universe of both cap-weighted and alternatively weighted index tracking funds. These strategies — such as maximum Sharpe, minimum variance, equal risk contribution and maximum deconcentration — offer an alternative to the standard but troubled single period mean variance optimization (MVO) approach. MVO’s limitations The single-period MVO approach remains the traditional bedrock of very long-run investing in normal market conditions where the sequence of returns does not matter. However it runs into difficulty in the short-run when markets are non-normal and sequence of returns matters a lot. So unless you are a large endowment with an infinite time horizon, or perhaps can afford to invest for yourself and your family without ever needing to withdraw any capital, relying entirely on the MVO approach for asset allocation gives false comfort. For cases where there are constraints that challenge the MVO model – due to multiple or limited time horizons, expected capital withdrawals, risk budgets, and unstable risk/return/correlation profiles of asset classes (collectively known as real life) — portfolio construction requires a smarter, more adaptive approach that observes, isolates and captures the reward from shifting risk premia over time. Risk-based portfolio strategies attempt to achieve this and are designed to offer a liquid alternative approach to investing that is uncorrelated with traditional single-period MVO strategies. What’s the Problem to Solve? Whether assessing factor-based ETFs or risk-based ETF strategies, at best these new developments all seem very smart. At worst it’s just a bit different. However, as ETFs get smarter and the strategies that combine them become more sophisticated, there’s a risk that the key question in all of this gets lost in an incomprehensible barrage of Greek. The key question for portfolio managers nonetheless remains the same. What client outcome am I targeting? What client need am I trying to solve? For portfolio strategy, whether using a discretionary manager that relies on judgment, or a systematic rules-based approach that relies on quantitative inputs, the key client considerations remain return objective, time horizon, capacity for loss and diversification across asset classes and/or risk premia. Broadening the Toolkit A portfolio strategy has little meaning without an objective that focuses on client outcomes. Factor-based ETFs and risk-based ETF portfolio strategies offer an alternative or additional set of tools to help deliver on those outcomes, in a way that is systematic, liquid and efficient. Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it. I have no business relationship with any company whose stock is mentioned in this article. Additional disclosure: This article has been prepared for research purposes only.