Tag Archives: alternative

Back To The Box Paradigm: A U.S. Fixed Income ETF Portfolio

Summary As markets make incomprehensible moves, stick to your rules, build a box. Do not attempt to chase market shadows, but devise and maintain strategies that fit your needs. One such strategy entails accepting duration risk for a higher distribution yield relative to a benchmark. Back To The Box Paradigm: A U.S. Fixed Income ETF Portfolio When the markets are moving in directions you cannot comprehend and cynicism erupts, stick to your rules. Make a box and stay inside of it. Do not attempt to chase shadows, but devise and maintain strategies that work. One such strategy, the box paradigm, is designed to accept duration risk for a higher distribution yield than its benchmark, the iShares Core U.S. Aggregate Bond ETF (NYSEARCA: AGG ). An ETF portfolio was selected to meet these objectives and is seen below in Table 1: (NYSEARCA: FLOT ) – iShares Floating Rate Bond ETF (NYSEARCA: BSV ) – Vanguard Short-Term Bond ETF (NYSEARCA: BIV ) – Vanguard Intermediate-Term Bond ETF (NASDAQ: VCIT ) – Vanguard Intermediate-Term Corporate Bond ETF (NYSEARCA: BLV ) – Vanguard Long-Term Bond ETF (NASDAQ: VCLT ) – Vanguard Long-Term Corporate Bond ETF AGG – iShares Core Total US Bond Market ETF Table 1 – Box Paradigm: U.S. Fixed Income ETF Portfolio As At January 30 th 2015 (click to enlarge) Environment Outside The Box The environment should first be ascertained, so that a proper box can be constructed. In its latest FOMC statement, the Fed thinks that the U.S. economy is growing at a solid pace. Labor market indicators have improved further as job gains grew and the unemployment rate fell. Household spending is also showing signs of improvement as a result of the decline in energy prices. Businesses have also been investing while core inflation remains low but stable. Table 2 – Economic Projections Of Federal Reserve Board Members And Federal Reserve Bank Presidents, December 2014 (click to enlarge) Source: Federal Reserve Charts 1-3: Central Tendencies Of Economic Projections, 2014-2017 And Over The Longer Run Source: Federal Reserve Initial estimates show that U.S. GDP grew 2.5% year over year in the 4th quarter of 2014. This rate is above the 4-quarter moving average of 2.4%, so the U.S. is still growing at an above-trend pace. Consumer spending was strong as real PCE rose 4.3% versus 3.2% in the previous quarter. This was the strongest quarterly increase in the post-financial crisis era. Residential investment improved given the loosening of mortgage credit and this trend is likely to continue. Chart 4 – U.S. GDP Growth (Year-Over-Year %) As At December 2014 (click to enlarge) Source: Bloomberg Given the current moves in the U.S. economy and expectations for a rate hike in the 3rd quarter of 2015, yields in the U.S. should be rising. But they are not. The U.S. 10-year yield is nearing historical lows, around 1.65%. The chart below shows a 3-year chart of the U.S. 10-year yield. Chart 5 – U.S. 10-Year Yield Weekly Candlestick Chart As At January 30 th 2015 (click to enlarge) Source: Bloomberg Quantitative Easing of other central banks appears to be keeping U.S. yields low as investors shift their portfolios from their local currency fixed income portfolios to U.S. dollar-denominated portfolios to attain the higher yield. Assumptions & Box Metrics Trying to predict market movements produces a certain level of cynicism as there is a 60% probability that the prediction made is wrong. With this level of duplicity, investors should assume the worst-case scenarios which would prevent ruin but leave room for gains, a personal put option. Let us take a look at the table below which shows the box metrics of the U.S. Fixed Income ETF Portfolio. Table 3 – Box Metrics Of U.S. Fixed Income ETF Portfolio (click to enlarge) The box paradigm portfolio weightings hold until the triggers are achieved, that is, a recognizable change in the interest rate environment in the U.S. Furthermore, box constructions prevent chasing the market and ensure that the objectives are set and met. Disclosure: The author has no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. (More…) The author wrote this article themselves, and it expresses their own opinions. The author is not receiving compensation for it (other than from Seeking Alpha). The author has no business relationship with any company whose stock is mentioned in this article.

Traditional Equal Weighting May Not Be As Diversified As You Think

Summary The simplest of smart beta methodologies is widely accepted to be equal weighting. But traditional equal weighting also introduces static sector biases since the weight allocated to each sector is determined solely by the number of companies in the sector. We believe employing sector equal weighting followed by constituent equal weighting in the rebalancing process may ultimately be a better way to distribute risk across the portfolio. By John Feyerer The core belief that we have held at PowerShares since we were founded back in 2002, and continue to hold today, is that funds tracking market-capitalization-weighted indexes may not represent the optimal investment strategy. Why? If one believes (as we do) that markets aren’t perfectly efficient and security mispricing can and does exist, market-capitalization-weighted indices will, by definition, have overweighted those securities that through time proved to be overvalued and similarly will have underweighted those securities that proved to be undervalued – thus creating a relative drag on investment performance. Of course the quest for active managers is to accurately identify which camp each security falls into at a given point in time (overvalued versus undervalued) and position portfolios to capitalize on the reversion to the mean. In contrast, smart beta strategies are objective, rules-based, index methodologies that sever the link between price and portfolio weight and employ a disciplined rebalancing mechanism. From there a lot of fun can be had talking about the different risk factors that can serve as the basis for these methodologies, but it is important to remember the two basic ingredients that lie at the core of all smart beta strategies: weighting by non-price-related measures and systematic rebalancing. ‘Naïve’ doesn’t necessarily mean balanced The simplest of smart beta methodologies is widely accepted to be equal weighting. This technique is commonly referred to as ‘naïve’ as it entails allocating the same weight to each constituent in the index and regularly rebalancing back to base weights. Why is this approach described as ‘naïve’? Because it does not make any assumptions about the index constituents (their size, prospects for future return, etc.) but instead simply weights them all equally. While traditional equal weighting certainly contains the basic ingredients of smart beta -non-price-weighted and systematically rebalanced – it also introduces static sector biases since the weight allocated to each sector is determined solely by the number of companies in the sector. For example, if an index contains 100 financial stocks and 50 technology stocks, the portfolio weight in financials would be double that of technology, regardless of the relative size between the two sectors. The number of companies in a given sector alone is unlikely to be related to the relative prospects of that sector versus others, yet a simple constituent equal-weight strategy will statically allocate more (in some cases substantially!) weight to some sectors than others for the arbitrary reason of the difference in the number of constituents. For example, as seen in Figure 1, the constituent equal-weight approach employed in the S&P 500 Equal Weight Index results in significant sector concentration, with three of the 10 sectors (financials, consumer discretionary and industrials) consistently comprising between 44% and 47% of the weight of the portfolio during the last 10 years. In fact, in some cases constituent equal weighting can introduce greater sector-specific risk than capitalization weighting, as demonstrated by Figure 2. If one were to take a constituent equal-weight approach to the Russell 1000 Index, that would result in an allocation of 22.2% of the portfolio to the financial services sector versus just 4.8% to consumer staples – a spread of over 17%. An alternative to constituent equal weighting is the approach that Russell Indexes takes with its Russell 1000 Equal Weight Index. The firm initially equally weights the sectors (at each quarterly rebalance 11.1% is allocated to each of the nine sectors within the Russell Global Sector classification system) and then follows that by equally weighting the constituents within each sector. This results in a portfolio that we believe is both “naïve” from a sector and constituent level and helps mitigate the sector biases inherent in a constituent equal-weight approach. This methodology also enables the index to contra-trade against the most recent price movements at the sector level as well as at the constituent level as the index rebalances. While clearly aligning with the basic elements of smart beta – the traditional equal-weight approach may not be as diversified as many investors think, and it may, in fact, be introducing unintended sector-specific risk to an investment portfolio. Employing sector equal weighting followed by constituent equal weighting in the rebalancing process is an approach that we believe ultimately results in a better way to distribute risk across the portfolio. EXHIBITS: Figure 1: S&P 500 Equal Weight Index – Sector Composition through time Source: Global ETF Products & Research with underlying data from FactSet; Data as of Dec. 31, 2014 Figure 2: Russell 1000 Sector Allocation Comparison Source: Russell Investments as of Dec. 22, 2014. The Russell 1000® Index is an unmanaged index considered representative of large-cap stocks. The Russell 1000® Index is a trademark/ service mark of the Frank Russell Co. Russell® is a trademark of the Frank Russell Co. The Russell 1000® Equal Weight Index is a trademark of Frank Russell Company and has been licensed for use by Invesco PowerShares. The Product is not sponsored, endorsed, sold or promoted by Frank Russell Company and Frank Russell Company makes no representation regarding the advisability of investing in the Product. An investment cannot be made directly into an index. *Russell 1000 CEW is not an actual index, but illustrates how the Russell 1000 Index could look under a constituent equal-weighting approach. To create this hypothetical index, equal weight was given to each constituent of the Russell 1000 Index, using the index’s holdings as of Dec. 22, 2014. Important Information The Russell Global Sector classification system categorizes stocks into nine sectors: technology, health care, consumer discretionary, consumer staples, energy, materials and processing, producer durables, financial services and utilities. As the index rebalances back to base weights, it increases weight in those sectors/stocks that have decreased in price while decreasing weight in those sectors/stocks that have increased in price – thus contra-trading against recent market movements. The S&P 500 Equal Weight Index is the equally weighted version of the S&P 500 Index. The S&P 500 Index is an unmanaged index considered representative of the U.S. stock market. Before investing, investors should carefully read the prospectus/ summary prospectus and carefully consider the investment objectives, risks, charges and expenses. For this and more complete information about the Funds call 800 983 0903 or visit invescopowershares.com for prospectus/summary prospectus. Diversification does not guarantee a profit or eliminate the risk of loss. Beta is a measure of risk representing how a security is expected to respond to general market movements. Smart Beta represents an alternative and selection index based methodology that seeks to outperform a benchmark or reduce portfolio risk, or both. Smart beta funds may underperform cap-weighted benchmarks and increase portfolio risk. There are risks involved with investing in ETFs, including possible loss of money. Index-based ETFs are not actively managed. Actively managed ETFs do not necessarily seek to replicate the performance of a specified index. Both index-based and actively managed ETFs are subject to risks similar to stocks, including those related to short selling and margin maintenance. Ordinary brokerage commissions apply. The Fund’s return may not match the return of the underlying index. Investments focused in a particular industry are subject to greater risk, and are more greatly impacted by market volatility than more diversified investments. The Global Industry Classification Standard was developed by and is the exclusive property and a service mark of MSCI, Inc. and Standard & Poor’s. The information provided is for educational purposes only and does not constitute a recommendation of the suitability of any investment strategy for a particular investor. Invesco does not provide tax advice. The tax information contained herein is general and is not exhaustive by nature. Federal and state tax laws are complex and constantly changing. Investors should always consult their own legal or tax professional for information concerning their individual situation. The opinions expressed are those of the authors, are based on current market conditions and are subject to change without notice. These opinions may differ from those of other Invesco investment professionals. NOT FDIC INSURED MAY LOSE VALUE NO BANK GUARANTEE All data provided by Invesco unless otherwise noted. Invesco Distributors, Inc. is the U.S. distributor for Invesco Ltd.’s retail products and collective trust funds. Invesco Advisers, Inc. and other affiliated investment advisers mentioned provide investment advisory services and do not sell securities. Invesco Unit Investment Trusts are distributed by the sponsor, Invesco Capital Markets, Inc., and broker-dealers including Invesco Distributors, Inc. PowerShares® is a registered trademark of Invesco PowerShares Capital Management LLC (Invesco PowerShares). Each entity is an indirect, wholly owned subsidiary of Invesco Ltd. ©2014 Invesco Ltd. All rights reserved. blog.invesco.us.com

Wealth Manager Strategies For Uncertainty: Jean Brunel On Meeting Client Goals

By Susan Hoover January was a turbulent month for European markets that left investors grappling with uncertainty. The Swiss National Bank removed the long-standing euro peg from the Swiss franc . The European Central Bank began an open-ended quantitative easing program . And in Greece, the newly elected Syriza party vowed to renegotiate the country’s bailout package , which has implications for the stability of the entire eurozone. Wealth managers and advisers of high-net-worth clients now find themselves undertaking two separate but equally important tasks: identifying investment opportunities and reassuring nervous clients at risk of abandoning their current investment strategies. Both of these tasks are easier for private wealth managers who understand their clients’ goals and anxieties. Jean L.P. Brunel, CFA, managing principal of Brunel Associates, argues that a detailed analysis of client goals will allow advisers to construct portfolios that more accurately reflect risk profiles while seeking out sources of investment returns. In these resources from CFA Institute, Brunel explains his ideas in greater detail: Psychological Influences on Investor Decisions : Brunel argues that current tools for optimizing private client portfolios are powerful and insightful, but clients do not have the time to understand them. In this presentation, he discusses how advisers must take highly quantitative results based on rough answers and adapt them to changing client needs, goals, and risk over a lifetime – in effect, putting themselves in the shoes of their clients to develop a goal-oriented approach to asset allocation. Alternative Assets : In this presentation, Brunel questions the industry definition of “alternative assets,” suggesting that inappropriate benchmarks are used to measure them. The lower-than-expected liquidity and lower-than-expected downside risk protection of alternative assets mean that proper benchmarks are especially important, and an increased emphasis should be placed on manager selection. The industry has matured, according to Brunel, which means that there are solid opportunities, particularly in relative value. Goals-Based Wealth Management in Practice : The 2008 global financial crisis created opportunities for advisers ready to meet client concerns by focusing on those clients’ goals. In this article, Brunel discusses ways that wealth managers can address family issues, using goals-based wealth management concepts to generate specific portfolios driven by the client’s expressed goal. Brunel’s model allows for a high degree of flexibility and responsiveness to client needs while retaining a practical level of standardization. Is a Behavioral Finance-Based Allocation Really Suboptimal? Modern portfolio theory works marvelously in a world of institutions, but individual investors do not make decisions according to the logic of financial theory. According to Brunel, high-net-worth investors need an approach that reduces the likelihood of suboptimal performance while recognizing their unique behavioral tendencies. In this presentation, he discusses how a goal-based allocation that is adjusted to include overall risk optimization can assemble portfolios that are better matched to client intuition, which means portfolios that clients are more likely to accept and retain. Goal-Based Asset Allocation : In this presentation, Brunel explores a sequential approach to setting goals, stating that advisers need to change the definition of risk to mean “the probability of not achieving one’s goal.” According to Brunel, integrated wealth planning for individuals must evolve into an analysis of the client’s goals – what matters to the family, what are the worst nightmares, and what are the most cherished dreams. He further discusses the skills necessary to identify and quantify assets for each goal to match its risk profile. Private Asset Management or Private Wealth Management? Private asset management can be viewed as a separate discipline from private wealth management, even though the two terms are frequently used interchangeably. In this article, Brunel explains that private wealth management must go beyond the asset allocation and tax efficiency that is the focus of private asset management, encompassing more extensive issues and introducing more complex interactions. The larger number of factors involved leads to an exponentially larger number of possible interactions. Disclaimer: Please note that the content of this site should not be construed as investment advice, nor do the opinions expressed necessarily reflect the views of CFA Institute. Share this article with a colleague