Tag Archives: author

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.

JPMorgan Alerian MLP Index ETN: The Time Has Come To Buy

AMJ – The Basics The JPMorgan Alerian MLP Index ETN (NYSEARCA: AMJ ) is an exchange-traded note issued by JPMorgan Chase & Co. (NYSE: JPM ). Its net asset value and cash distributions are based upon the Alerian MLP Index, by far the most widely recognized index of MLPs. Alerian MLP Index is made up of the 50 largest MLPs and constitutes over 75% of the available MLP market capitalization. At $3.3 billion, AMJ is by far the largest and most liquid MLP ETN (An ETN is an “exchange-traded note” and unlike an ETF does not hold any actual securities). Its expense ratio is a rather high .85%, but then, nearly all MLP ETFs and ETNs have a similar expense ratio. It has an extremely tight bid/ask spread of about .05%. Master Limited Partnerships (MLPs) are companies that are organized as partnerships rather than corporations, and as such, avoid paying corporate income tax. To qualify as an MLP, a business must generate at least 90% of its income from what the IRS deems “qualifying” sources, including the processing, storage, and transport of energy commodities. Most MLPs are oil and gas pipeline companies. They earn money by charging fees on the oil and gas moving through their pipelines. They generate a lot of stable cash flow and tend to pay out most of it in the form of cash distributions to their investors (although they aren’t legally required to do so). One advantage of the ETN structure is that as a note or debt security tied to an index, the fund issues a 1099. The MLPs themselves issue K-1s, which are more complex tax forms, often arriving late in the tax season, and sometimes requiring large investors to file returns in multiple states. In addition, MLPs may generate Unrelated Business Taxable Income (UBTI) that could be a nightmare for IRAs and tax-exempt institutions. Most investors prefer to avoid receiving K-1s. The major disadvantage of the ETN structure is that an ETN is a general obligation of the issuer and exposes investors to the credit of the issuer, in this case, JPMorgan. That is, if JPMorgan goes under, investors in its ETNs could lose all of their money just like other bondholders. The 2008 experience with Lehman Brothers made many investors leery of taking on this exposure. However, like all major banks, in the wake of the 2008 experience, JPMorgan is much more stringently regulated and has been forced to hold more capital and manage its risks more conservatively. The risk of default can be monitored and measured in real time using credit default swap rates. Currently, the CDS market charges about .4% to insure default on JPMorgan bonds for a one year term. JPMorgan’s credit default swap rate is among the lowest of all major global banks. The Strategic Case for AMJ – Why Ever Own It? I prefer to invest in assets that are likely to be systematically underpriced relative to their economic benefits. MLPs are definitely in that category. The primary driver is the fact that, unlike C-corporations, MLP investors are taxed only once, not twice. The MLP itself pays no income tax – taxation occurs only when investors receive distributions. That is a major economic benefit. MLPs are also likely to be systematically underpriced because few investors are willing to deal with the tax complexities of K-1s, particularly institutional investors. Fear of UBTI is another impediment. Fewer buyers usually mean lower prices. Finally, the Alerian Index has historically had a relatively low correlation with stock market risk and bond market risk. These are the two major risks prevalent in most portfolios. Adding an investment that has a low level of sensitivity to these risk factors may help to reduce overall portfolio volatility. AMJ tracks the returns of its benchmark index, the Alerian MLP Index, very closely. The inception date for AMJ is April 1, 2009, but I have returns for the Alerian MLP Index going back much further. This additional historical data provides a longer-term look at the historical risk sensitivities of the index (and consequently, the ETN). I measure the sensitivity of its returns to four risk factors that capture much of the risk common to most ETFs: Stock market risk (MKT), as measured by the S&P 500 Index Interest rate risk (LTB), as measured by the 10-Year Treasury Benchmark Index Currency risk (DLR), as measured by the U.S. Dollar Index Commodity risk (OIL), as measured by the West Texas Intermediate Crude Oil Index Click to enlarge Based upon the history of its index, while AMJ’s risk sensitivities to stocks (MKT) and interest rates (LTB) have both moved up recently, this may be related to the unusual interplay of oil prices, economic outlook, and Fed policy that has affected capital markets in the recent past. Some reversion back towards more normal, and lower, levels of sensitivity to these risk factors over time is a reasonable expectation for AMJ. Click to enlarge The graph above tracks the cumulative return of the Alerian Index (in black), and disaggregates it into return due to each of the four risk factor sensitivities and residual return, or what is left over after accounting for the risk effects. The Alerian Index is unusual for the very high proportion of its return being residual of risk effects, and also in the fact that three of the four risk factors play a noticeable (but not dominant) role in explaining its returns. For most ETFs, a single factor dominates. For example, the return of most equity ETFs is largely explained by its MKT sensitivity. For most debt ETFs, LTB is the dominant explanatory factor. But AMJ’s overall return (black line) is largely determined by its residual return (orange line). This makes it a very good diversifier from a portfolio standpoint. The Tactical Case for AMJ – Why Now? Using the Alerian Index as a proxy for AMJ, from 2008 to 2014, investors would have been quite happy to have AMJ in their portfolios – it was generating very strong returns that were largely uncorrelated to broad risk factors (The orange line was going up). However, since 2014, AMJ has been in a steep decline, again most of it residual return not explained by risk factors, even as its sensitivity to those risk factors, and their power in explaining its returns, has been rising. Residual return remains unusually large, but risk factors are currently contributing a lot to AMJ’s volatility. I do not like to try to catch a falling knife, and AMJ (launched April 1, 2009) has certainly been falling precipitously since 2014. It has suffered from a “triple whammy” of concerns: 1) the prospect of a slowing economy, which may reduce demand for energy, 2) falling oil prices, which may reduce the demand for energy infrastructure, and 3) fear of interest rate increases, which could increase interest expense on debt. AMJ peaked at the end of August 2014 at about $54, and is now under $27, a decline of more than 50%. The fall in price has coincided with a 65% decline in the price of crude oil over the same time period, as shown below: Click to enlarge Clearly, the cumulative total return of AMJ (blue line above) has been very negative since 2014. Most MLPs have stable cash flows under long-term contracts that make their cash flow somewhat insensitive to the price of oil, yet investors have treated MLPs almost like they are in the exploration and production business. A very depressed level of cumulative total return is certainly one indication that AMJ may be attractively priced. If an ETF is significantly below its recent levels, there is reason to assume that it may be undervalued and will eventually revert back towards its historical norms. However, my research indicates that an even better indication of the likelihood of near-term mean-reversion is the degree to which an ETF has deviated from its five-year trendline. Because this trendline is sensitive to recent twists and turns in cumulative return, significant deviations from the trendline are rare. When they occur, it is because of dramatic price swings over a fairly short time period. These patterns are often indications of a market over-reaction. Click to enlarge As illustrated in the graph above, AMJ is currently at a level that is significantly below trendline. While further declines are certainly possible, the value gap that has opened up the last six months is the widest it has ever been in the history of the Alerian Index. There are fundamental reasons to believe that the risk of further declines has somewhat abated. Recall the three concerns that seem to have driven AMJ’s decline: 1) slowing economy, 2) falling oil prices, and 3) rising interest rates. While the rate of economic growth remains a concern, crude oil has rallied nearly 50% off its lows in the past month and the Fed recently announced a slower pace regarding future rate hikes. These developments help allay two of the concerns that have been plaguing AMJ and may portend a positive turn in market sentiment towards MLPs. Click to enlarge Dividend yield is another indication of value. Since 2014, AMJ’s dividend yield (concatenated in the line above with the Alerian Index dividend yield) has climbed from 4.3% to 8.2%. This dramatic increase in dividend yield is reminiscent of the Crash of 2008, and provides another indication that the selling may have been overdone. Click to enlarge To be sure, the per share dollar amount of AMJ’s dividend has declined by a little over 10% since its 2014 peak, as shown above. This reflects the fact that some of the MLPs in the Alerian Index have cut their cash distributions. And there may be some further cuts to come. Most of those reducing their distributions are “upstream” MLPs in the business of buying oil and gas fields, optimizing them, and selling their production to the market. However, upstream MLPs constitute only about 3% of the Alerian Index. While a few MLPs are “downstream” companies in the business of distributing energy products to the end customer, the vast majority of MLPs are “midstream.” They store and transport energy products, mainly through pipelines. Their basic business has fairly steady cash flows that are not terribly exposed to energy prices. The 50% drop in price may well be an over-reaction. However, there is some fear among some MLP analysts that even midstream MLPs may start to reduce their cash distributions, forcing AMJ to further reduce its dividend. Most MLP managements have traditionally considered maintaining and growing their cash distributions as somewhat sacrosanct. But MLPs rely on continued capital expenditures to grow, and most are finding their access to capital markets limited at this point: their equity prices are too low to issue stock and their debt coverage ratios are too low to get new debt financing. Some MLPs may sell off non-core assets, but that will only go so far. The big cash savings would come from reducing cash distributions. Arguably, MLPs that reduce their distributions to invest that cash in high-return capital expenditure projects would be doing the right thing for their investors. However, the initial reaction would likely be a wave of selling out of a combination of panic and frustration since most MLP investors are very yield-oriented and may interpret the move as a signal of lack of confidence on the part of management. For this reason, I expect further cuts to be limited. While not without its risks, AMJ seems a compelling value. There may be more volatility ahead, but with its generous dividend yield, AMJ pays investors handsomely to be patient. Disclosure: I am/we are long AMJ. 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: My long and short positions change frequently, so I make no assurances about my future positions, long or short. The information contained in this article has been prepared with reasonable care using sources that are assumed to be reliable, but I make no representation or warranty regarding accuracy. This article is provided for informational purposes only and is not intended to constitute legal, tax, securities, or investment advice. You should discuss your individual legal, tax, and investment situation with professional advisors.

7 Ways To Short Crude Oil Now

Crude oil has had a wild ride this year. It seemed every day in January, oil was making new lows before it bottomed in early February at $26.05.The last five weeks have been the opposite, with almost every day a green day for the black gold. Crude oil futures looked to have finally topped out at $42.49 earlier this week, before pulling back under $40.00 yesterday. Now it looks like shorts sellers of crude and oil related companies have a solid entry where they can start short positions. Both the commodity and oil stocks look to trend lower into earnings season and risk can be realized with stops at the highs of the year. Oil is due for a sell off and it wouldn’t be a big surprise if we saw a pullback to the $34-35 area sometime soon. While the pullback starts to form, investors can profit from a fall in oil by buying the ETFs below. In late January, I had a bullish view in oil that can be found here . In the write up, I suggested getting long various oil bull ETFs and a few oil stocks. If that advice was followed I would suggest taking profits, then waiting for another chance to get back in at lower prices. ETF/ETNs to short Crude oil VelocityShares 3x Inverse Crude Oil ETN (NYSEARCA: DWTI ) – This ETN is an investment that seeks to replicate, net of expenses, three times the opposite (inverse) of the S&P GSCI Crude Oil Index ER. The index comprises futures contracts on a single commodity and is calculated according to the methodology of the S&P GSCI Index. DWTI is a very volatile product that allows bearish oil investors to maximize their gain. If oil falls 5% in a day, this ETN will rise 15%, maximizing the bearish bet that is made. DWTI will pull back fast when oil heads higher, so I only encourage short-term trading with this instrument. ProShares UltraShort Bloomberg Crude Oil ETF (NYSEARCA: SCO ) – This investment seeks to provide daily trading results that correspond to twice (200%) the inverse of the daily performance of the Bloomberg WTI Crude Oil SubindexSM. The “UltraShort” Funds seek daily results that match (before fees and expenses) two times the inverse (-2x) of the daily performance of a benchmark. Very much like DWTI, this will move higher as crude oil moves lower. If oil is at $40 a barrel and falls to $39, we would see a 5% move higher in SCO reflecting the 2.5% move in crude lower. The main difference between SCO and DWTI is what magnitude, higher or lower, a trader is looking for. ETFs to short oil and gas companies Direxion Daily Energy Bear 3X Shares ETF (NYSEARCA: ERY ) – This ETF is an investment that seeks daily trading results, before fees and expenses, of 300% of the inverse of the performance of the Energy Select Sector Index. The fund creates short positions by investing at least 80% of its assets in swap agreements, futures contracts, options, reverse repurchase agreements, ETFs, and other financial instruments that, in combination, provide inverse leveraged and unleveraged exposure to the index. ERY is the same concept as DWTI, except the shorting aspect looks to focus on actual energy companies rather than crude oil futures. This might benefit a trader if he wants to go short a basket of energy stocks right before earnings season. The trader might be thinking that because of low oil prices, these energy companies will report negative earnings, leading to lower stock prices. This event would push ERY higher even if crude oil futures remained flat. ProShares UltraShort Oil & Gas ETF (NYSEARCA: DUG ) – The investment seeks daily investment results, before fees and expenses, that correspond to twice the inverse (-2x) of the daily performance of the Dow Jones U.S. Oil & GasSM Index. The index measures the performance of the oil and gas sector of the U.S. equity market. DUG will move in a similar manner to ERY, but a down move will only reflect twice the performance instead of three times. ProShares Short Oil & Gas ETF (NYSEARCA: DDG ) – This investment seeks daily trading results that correspond to the inverse (-1x) of the daily performance of the Dow Jones U.S. Oil & GasSM Index. The investment seeks daily investment results that correspond to the inverse (-1x) of the daily performance of the Dow Jones U.S. Oil & GasSM Index. DDG will move in a similar manner, but a down move will reflect the actual move instead of the leveraged gains that DUG and ERY have. A trader will utilize the above-mentioned instruments to short oil and gas stocks. They all offer different forms of risk and can be chosen depending on the trader’s willingness to accept risk. Other ETF/ETNs that will benefit Direxion Daily Nat Gas Rltd Bear 3X Shares ETF (NYSEARCA: GASX ) – This ETF seeks daily investment results, net of expenses, of 300% of the inverse of the performance of the ISE-REVERE Natural Gas IndexTM. Energy prices are typically correlated and move together. A move lower in oil will put pressure on natural gas prices, sending this ETF higher. iPath S&P 500 VIX ST Futures ETN (NYSEARCA: VXX ) – This ETN is a sympathy and fear play if oil prices were to return to the low $30s. This kind of event would create fear, bringing a bid back to the VIX. This ETN will head higher whenever the VIX and VIX futures head higher. Original Post