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The Most Crowded Hedge Fund Bets At Year-End 2015

Most analyses of hedge fund crowding focus on their residual (idiosyncratic, stock-specific) bets. This is misguided, since over 85% of the monthly return variance for the majority of hedge fund long equity portfolios is due to factor (systematic) exposures, rather than individual stocks. Indeed, it is the exceptional factor crowding and the record market risk that have driven much of the industry’s recent misery (just as they have driven much of the earlier upswings). In Q4 2015, a single factor accounted for half of U.S. hedge funds’ relative long equity risk. We survey all sources of hedge fund crowding at year-end 2015 and identify the market regimes that would generate the highest relative outperformance and underperformance for the crowded factor portfolio. These are the regimes that would most benefit or hurt hedge fund investors and followers. Identifying Hedge Fund Crowding This piece follows the approach of our earlier articles on crowding : We processed regulatory filings of over 1,000 hedge funds and created a position-weighted portfolio ( HF Aggregate ) consisting of all the tractable hedge fund long U.S. equity portfolios. We then analyzed HF Aggregate’s risk relative to U.S. Market using the AlphaBetaWorks Statistical Equity Risk Model – a proven system for performance forecasting . The top contributors to HF Aggregate’s relative risk are the most crowded hedge fund bets. Hedge Fund Aggregate’s Risk The Q4 2015 HF Aggregate had 3.7% estimated future tracking error relative to U.S. Market; over two thirds of this was due to factor ( systematic ) exposures : Components of the Relative Risk for U.S. Hedge Fund Aggregate in Q4 2015 Click to enlarge Source: abwinsights.com Source Volatility (ann. %) Share of Variance (%) Factor 3.10 69.07 Residual 2.08 30.93 Total 3.73 100.00 Simplistic analysis of hedge fund crowding that lacks a capable risk model will miss these systematic exposures. Among its flows, this comparison of holdings will overlook funds with no position overlap but high future correlation due to similar factor exposures. Hence, this simplistic analysis of hedge fund crowding fosters dangerous complacency. Hedge Fund Factor (Systematic) Crowding Factor exposures drove nearly 70% of the relative risk of HF Aggregate at year-end 2015. Below are the principal factor exposures (in red) relative to U.S. Market’s exposures (in gray): Significant Absolute and Residual Factor Exposures of U.S. Hedge Fund Aggregate in Q4 2015 Click to enlarge Source: abwinsights.com Of these bets, Market (Beta) alone accounts for two thirds of the relative and half of the total factor risk, as illustrated below: Factors Contributing Most to Relative Factor Variance of U.S. Hedge Fund Aggregate in Q4 2015 Click to enlarge Source: abwinsights.com Factor Relative Exposure Factor Volatility Share of Relative Factor Variance Share of Relative Total Variance Market 18.27 12.46 68.12 47.05 Oil Price 2.28 29.43 13.08 9.04 Bond Index -7.53 3.33 4.97 3.43 Utilities -3.10 11.28 4.77 3.30 Consumer -8.30 3.75 3.54 2.44 Energy -3.21 11.77 -2.96 -2.04 Health 4.79 7.22 2.54 1.75 Communications -1.67 11.98 1.91 1.32 Finance -6.89 5.08 1.68 1.16 Size -1.96 8.09 1.34 0.92 (Relative exposures and relative variance contribution. All values are in %. Volatility is annualized.) Thus, the most important source of hedge fund crowding is not a stock or a group of stocks, but systematic exposure to the U.S. Market Factor . When nearly half of the industry’s risk comes from a single Factor, fixation on the individual crowded stocks is particularly dangerous. The U.S. Market crowding alone explains much of the recent industry misery. In this era of systematic crowding, risk management with a robust and predictive factor model is particularly vital for managers’ and allocators’ survival. Hedge Fund Factor Crowding Stress Tests Hedge Fund Crowding Maximum Outperformance Given Hedge Fund Aggregate’s bullish macroeconomic positioning (Long Market, Short Bonds/Long Interest Rates), it would experience its highest outperformance in an environment similar to the March-2009 rally. In this scenario, HF Aggregate’s factor portfolio would outperform by 20%: Historical Scenario that Would Generate the Highest Relative Performance for the Q4 2015 U.S. Hedge Fund Aggregate Click to enlarge Source: abwinsights.com The top contributors to this outperformance would be the following exposures: Factor Return Portfolio Exposure Benchmark Exposure Relative Exposure Portfolio Return Benchmark Return Relative Return Market 66.04 120.07 101.80 18.27 83.00 67.50 15.50 Oil Price 87.13 1.53 -0.75 2.28 1.05 -0.51 1.56 Bond Index -6.29 -4.92 2.61 -7.53 0.31 -0.17 0.48 Energy -12.54 1.61 4.82 -3.21 -0.20 -0.61 0.41 Communications -17.62 0.52 2.19 -1.67 -0.10 -0.41 0.31 Hedge Fund Crowding Maximum Underperformance Given Hedge Fund Aggregate’s bullish macroeconomic positioning, combined with a long Technology and short Finance exposures, it would experience its highest underperformance in an environment similar to the 2000-2001 .com Crash. In this scenario, HF Aggregate’s factor portfolio would underperform by 8%: Historical Scenario that Would Generate the Lowest Relative Performance for the Q4 2015 U.S. Hedge Fund Aggregate Click to enlarge Source: abwinsights.com The top contributors to this underperformance would be the following exposures: Factor Return Portfolio Exposure Benchmark Exposure Relative Exposure Portfolio Return Benchmark Return Relative Return Finance 47.97 12.48 19.36 -6.89 5.27 8.26 -2.99 Market -14.21 120.07 101.80 18.27 -17.22 -14.48 -2.74 Technology -36.73 23.75 20.14 3.62 -9.83 -8.38 -1.45 Utilities 52.32 0.22 3.31 -3.10 0.10 1.51 -1.42 Consumer 12.36 14.87 23.17 -8.30 1.82 2.85 -1.02 Hedge Fund Residual (Idiosyncratic) Crowding A third of the year-end 2015 hedge fund crowding is due to residual ( idiosyncratic, stock-specific) risk. Valeant Pharmaceuticals International and Netflix are responsible for nearly half of it: Stocks Contributing Most to Relative Residual Variance of U.S. Hedge Fund Aggregate in Q4 2015 Click to enlarge Source: abwinsights.com Though there may be sound individual reasons for these investments, they are vulnerable to brutal liquidation. Given the recent damage to hedge funds from herding, these crowded residual bets remain vulnerable: Symbol Name Relative Exposure Residual Volatility Share of Relative Residual Variance Share of Relative Total Variance (NYSE: VRX ) Valeant Pharmaceuticals International, Inc. 2.67 43.72 31.56 9.76 (NASDAQ: NFLX ) Netflix, Inc. 1.57 54.62 17.15 5.30 (NASDAQ: JD ) JD.com, Inc. Sponsored ADR Class A 1.60 31.91 6.05 1.87 (NYSEMKT: LNG ) Cheniere Energy, Inc. 1.38 33.35 4.88 1.51 (NASDAQ: CHTR ) Charter Communications, Inc. Class A 1.79 20.31 3.08 0.95 (NYSE: TWC ) Time Warner Cable Inc. 1.85 16.14 2.06 0.64 (NYSE: AGN ) Allergan plc 1.83 14.62 1.66 0.51 (NYSE: FLT ) FleetCor Technologies, Inc. 1.18 19.61 1.23 0.38 (NASDAQ: PCLN ) Priceline Group Inc 1.12 20.10 1.18 0.36 (NASDAQ: MSFT ) Microsoft Corporation 1.54 14.13 1.10 0.34 (Relative exposures and relative variance contribution. All values are in %. Volatility is annualized.) Though stock-specific bets remain important, allocators and fund followers should pay particular attention to their factor exposures in the current environment of extreme systematic hedge fund crowding. Many may be effectively invested in leveraged passive index fund portfolio, with the added insult of high fees. AlphaBetaWorks Analytics address all of these needs with the coverage of market-wide and sector-specific herding, plus aggregate factor exposures of funds and portfolios of funds. Summary The main source of Q4 2015 hedge fund crowding, responsible for nearly half of the relative long equity risk, was record U.S. Market exposure. The main sources of Q4 2015 residual crowding were VRX and NFLX. Given the high factor (systematic) crowding among hedge funds’ long equity portfolios, current analysis of crowding risks must focus on the factor exposures, rather than individual positions. The information herein is not represented or warranted to be accurate, correct, complete or timely. Past performance is no guarantee of future results. Copyright © 2012-2016, AlphaBetaWorks, a division of Alpha Beta Analytics, LLC. All rights reserved. Content may not be republished without express written consent. 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.

4 Large-Cap Blend Funds To Buy On Market Rally

After being beaten down heavily at the start of 2016, most of the major benchmarks have lately shown signs of stabilization with strong gains. Factors including a crude rally, improvement in the domestic economy and a low interest rate played the key roles in boosting investor sentiment. While the Dow entered the positive territory for the first time in 2016 last Thursday, the S&P 500 managed the same on Friday. Also, the markets posted weekly gains for the fifth consecutive week. Moreover, the fear-gauge CBOE Volatility Index (VIX) – a widely known measure of volatility – declined 23% since the start of 2016, indicating that the markets are stabilizing. Meanwhile, U.S. based mutual funds that focus on acquiring equity securities also rebounded strongly on the back of impressive performance at the equity markets. While most of the broader U.S. equity fund categories remain in the negative territory year to date, each category registered significant gains over the past one month. Banking on these positive developments, large-cap blend mutual funds, which offer the best of both value and growth investing and promise stable returns, may prove to be ideal investment propositions for now. Factors Leading to the Rebound A strong rally in oil prices was mainly behind the rebound in the major benchmarks. After touching a 13-year low on Feb. 11, the WTI crude gained nearly 50.5% on an increasing possibility of production freeze, continued decline in rig counts and a lower-than-expected rise in crude inventories. Qatari oil minister and president of OPEC, Mohammed Bin Saleh Al-Sada, recently said that the major oil producers will be meeting in Doha on April 17 to discuss production freeze. Meanwhile, rig count in the U.S. declined for the twelfth consecutive week to an all-time low level. Moreover, several economic data that released recently showed that the U.S. economy is on a path of recovery. While the economy witnessed strong and better-than-expected job growth last month, unemployment rate remained in line with the significantly low January rate of 4.9%. Also, the Labor Department reported that the core-Consumer Price Index (CPI), which excludes food and energy prices, gained 2.3% from the year-ago level, witnessing its biggest increase since May 2012. Meanwhile, the Fed recently highlighted that “economic activity has been expanding at a moderate pace despite the global economic and financial developments of recent months.” Separately, in its March meeting, the Federal Open Market Committee (FOMC) decided to keep the rate of interest flat between 0.25% and 0.50% and projected that the number of rate hikes this year will be two instead of four as forecast in its December meeting. The assurance that the rate will be kept unchanged for a longer period of time also had a positive impact on investor sentiment. And to top it all, the Fed Chairwoman Janet Yellen said: “The committee continues to feel that we are on a course where the economy is improving and inflation is moving back up.” 4 Large-Cap Blend Funds to Buy After losing nearly 6% in the first two months of 2016, the large-cap blend category made an impressive rebound on the back of gradual improvement in investor sentiment. This helped the category to register a strong gain of 7% over the past one-month period. The uniqueness of these funds to provide returns at a lower level of risk by investing in both value and growth stocks might have attracted investors. While large-cap funds offer more stability than mid caps or small caps, blend funds offer a great mix of growth and value investment. Given this favorable environment, we highlight four large-cap blend mutual funds that carry either a Zacks Mutual Fund Rank #1 (Strong Buy) or #2 (Buy). We expect these funds to outperform their peers in the future. Remember, the goal of the Zacks Mutual Fund Rank is to guide investors to identify potential winners and losers. Unlike most of the fund-rating systems, the Zacks Mutual Fund Rank is not just focused on past performance, but also on the likely future success of the fund. These funds have encouraging one-month and year-to-date returns. The minimum initial investment is within $5000. Also, these funds have a low expense ratio and no sales load. DFA U.S. Large Company I (MUTF: DFUSX ) invests a minimum of 95% of its assets in securities of companies listed in the S&P 500 Index and tries to maintain a similar company weight. DFUSX may also invest in derivatives including futures contracts and options on futures contracts for adjustment of market exposure. Currently, DFUSX carries a Zacks Mutual Fund Rank #1. The fund has one-month and year-to-date returns of 7.2% and 0.9%, respectively. Annual expense ratio of 0.08% is lower than the category average of 1.03%. Vanguard Dividend Appreciation Index Investor (MUTF: VDAIX ) seeks to provide returns similar to the NASDAQ US Dividend Achievers Select Index. VDAIX invests all of its assets in common stocks of companies listed in the index in proportion, which is similar to their weighting in the index. Currently, VDAIX carries a Zacks Mutual Fund Rank #2. The fund has one-month and year-to-date returns of 5.7% and 3.7%, respectively. Annual expense ratio of 0.20% is lower than the category average of 1.03%. State Farm Growth (MUTF: STFGX ) invests heavily in securities including common stocks and others that are expected generate income. The fund invests in securities of companies with a minimum market capitalization of $1.5 billion. STFGX currently carries a Zacks Mutual Fund Rank #2. One-month and year-to-date returns of STFGX are 5.5% and 3.3%, respectively. Annual expense ratio of 0.12% is lower than the category average of 1.03%. Hartford Stock HLS IA (MUTF: HSTAX ) seeks capital appreciation over the long run. HSTAX invests the lion’s share of its assets in equity securities of large-cap companies having market capitalization within the range of the Russell 1000 Index. The fund may invest a maximum of 20% of its assets in foreign securities. Currently, HSTAX carries a Zacks Mutual Fund Rank #2. The fund has one-month and year-to-date returns of 5.4% and 2.6%, respectively. Annual expense ratio of 0.50% is lower than the category average of 1.03%. Original Post

Earnings Growth Based On Debt And Buybacks? Totally Unsustainable

My grandfather was never rich. He did have some money in the 1920s, but he lost most of it at the tail end of the decade. Some of it disappeared in the stock market crash in October of 1929. The rest of his deposits fell victim to the collapse of New York’s Bank of the United States in December of 1931. I wish I could say that my grandfather recovered from the wrath of the stock market disaster and subsequent bank failures. For the most part, however, living above the poverty line was about the best that he could do financially, as he buckled down to raise two children in Queens. There was one financial feature of my grandfather’s life that provided him with greater self-worth. Specifically, he refused to take on significant debt because he remained skeptical of credit. And with good reason. The siren’s song of “you-can-pay-me-Tuesday-for-a-hamburger-today” only created an illusion of wealth in the Roaring Twenties; in fact, unchecked access to favorable borrowing terms as well as speculative excess in the use of debt contributed mightily to the country’s eventual descent into the Great Depression. G-Pops wanted no part of the next debt-fueled crisis. Here’s something few people know about the past: Consumer debt more than doubled during the ten year-period of the Roaring 1920s (1/1/1920-12/31/1929). And while you may often hear the debt apologist explain how the only thing that matters about debt is the ability to service it, the reckless dismissal ignores the reality of virtually all financial catastrophes. During the Asian Currency Crisis and the bailout of Long-Term Capital Management (1997-1998), fast-growing emerging economies (e.g., South Korea, Malaysia, Thailand, etc.) experienced extraordinary capital inflows. Most of the inflows? Speculative borrowed dollars. When those economies showed signs of strain, “hot money” quickly shifted to outflows, depreciating local currencies and leaving over-leveraged hedge funds on the wrong side of currency trades. The Fed-orchestrated bailout of Long-Term Capital coupled with rate cutting activity prevented the 19% S&P 500 declines and 35% NASDAQ depreciation from charting a full-fledged stock bear. Did we see similar debt-fueled excess leading into the 2000-2002 S&P 500 bear (50%-plus)? Absolutely. How long could margin debt extremes prosper in the so-called New-Economy? How many dot-com day-traders would find themselves destitute toward the end of the tech bubble? Bring it forward to 2007-2009 when housing prices began to plummet in earnest. How many “no-doc” loans and “negative am” mortgages came with a promise of real estate riches? Instead, subprime credit abuse brought down the households that lied to get their loans, destroyed the financial institutions that had these “toxic assets” on their books, and overwhelmed the government’s ability to manage the inevitable reversal of fortune in stocks and the overall economy. Just like 1929-1932. Just like 1997-1998. Just like 2000-2002. Maybe investors have already forgotten the sovereign debt crisis from the summer of 2011. They were called the “PIGS” – Portugal, Italy, Greece and Spain had borrowed insane amounts to prop up their respective economies. The easy access to debt combined with the remarkably favorable terms – a benefit of being a member of the euro zone – started to come undone. Investors rightly doubted the ability of the PIGS to repay their respective government obligations. Yields soared. Global stocks plunged. And central banks around the world had to come to rescue to head off the disastrous declines in global stock assets. Throughout history, when financing is cheap and when debt is ubiquitous, someone or something will over-indulge. Today? Households may be stretched in their use of cheap credit, and they have not truly deleveraged form the Great Recession. Yet the average Joe and Josephine have not acted as recklessly as governments around the globe. In the last few weeks alone, the European Central Bank (ECB) announced an increase in its bond-buying activity as well as the type of bonds it is going to acquire, Japan has sold nearly $20 billion in negatively-yielding bonds and the U.S. has downgraded its rate hike path from four in 2016 to two in 2016. Add it up? The world is going to keep right on going with its debt binge. Are we really that bad here in the U.S.? Over the last seven years, the national debt has jumped from $10.6 trillion to $19 trillion. In 7 years! If interest rates ever meaningfully moved higher, there would be no chance of servicing our country obligations. We would likely be facing the kind of doubt that occurred with the PIGS in 2011, as we looked for bailouts, write-downs, dollar printing and/or methods to push borrowing costs even lower than they are today. That’s not the end of it either. The biggest abusers of leverage and credit since the end of the Great Recession? Corporations. There are several indications that companies are already seeing less bang for the borrowed buck. For instance, low financial leverage companies in the iShares MSCI Quality Factor ETF (NYSEARCA: QUAL ) have noticeably outperformed high financial leverage companies in the PowerShares Buyback Achievers Portfolio ETF (NYSEARCA: PKW ) since the May 21, 2015 bull market peak. It gets more ominous. The enormous influence of stock buybacks by corporations – where companies borrow on the ultra-cheap and acquire shares of their own stock to boost profitability perceptions as well as decrease share availability – may be fading. For one thing, buyback activity has not stopped profits-per-share declines across S&P 500 companies for 4 consecutive quarters (Q2 2015, Q3 2015, Q4 2015, Q1 2016 est). Equally worthy of note, when the bottom line net income of S&P 500 corporations began to decline in earnest in 2007, buybacks began to decline in earnest in 2008. Bottom-line net income has been deteriorating since 2014, but favorable corporate credit borrowing terms has kept buybacks at a stable level into 2016. Nevertheless, once corporations begin recognizing that the buyback game no longer produces enhanced returns (per the chart above) – that stock prices falter in spite of the buyback manipulation efforts, they could begin to reduce their buyback activity. When that happened in 2008, the lack of support went hand in hand with a 50%-plus decimation of the S&P 500. The ratio of buybacks to net income in the above chart can become problematic when companies spend a whole lot more of their bottom-line net income on share acquisition. Maybe it’s a positive thing as long as stock prices are going higher. Yet FactSet already reports that 130 of the 500 S&P corporations had a buyback-to-net-income ratio higher than 100%. Spending more than you earn on acquiring shares of stock? That means very few dollars are going toward productive use, including human resources, research/development, roll-out of new products and services, equipment, plants and so forth. Maybe it wouldn’t be so bad if one could forever count on the notion that interest expense would be negligible. Unfortunately, when total debt continues to rise, even rates that stay the same become problematic. Consider the evidence via “interest coverage.” In essence, the higher the interest coverage ratio, the more capable a corporation is at paying down the interest on its debt. Yet if the debt is rising and the interest rates are roughly the same, interest expense increases and the interest coverage ratio decreases. Here’s a chart that shows challenges in the investment grade, top-credit rated universe. You decide. There are still other signs that show a potential “tapping out” for corporations. Corporate leverage around the globe via the debt-to-earnings ratio has hit a 12-year high. Aggressive financing in the expansion of debt alongside additional interest expense is rarely a net positive. On the contrary. Aggressive leveraging typically means a high level of risk. Granted, if corporations were taking on more debt to increase their value via new projects, expansion, new products, growth and so forth, it might represent high risk-high reward. In reality, however, everyone recognizes that the game has been about loading up on debt at ultra-low terms to acquire stock shares – a short-sighted practice of enhancing earnings-per-share numbers for shareholders. Click to enlarge In sum, low rates alone won’t make it easier for corporations to pay off their substantial obligations. Paying down debt is more challenging in low growth environments – 1.0% GDP in Q4 2015 and 1.4% GDP estimate for Q1 2016. Why might that be so? Corporations did not choose to put borrowed money into capital investments that might ultimately help service interest expense. Stock buybacks? Additional stock shares cannot provide the cash flow necessary for debt servicing the way that capital investments can. To the extent one has equity exposure, he/she would be wise to limit highly indebted, highly leveraged companies. The steadily rising price ratio between QUAL and the S&P 500 SPDR Trust ETF (NYSEARCA: SPY ) tells me that investors are wising up. In particular, they’re more concerned by poor credit risks across the stock spectrum. And while QUAL certainly won’t provide bear market protection on its own, it will likely lose less in downturns; it will likely hold its own during rallies. 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.