Tag Archives: hedge

Hedging Disney Ahead Of Earnings

If guests have the nerve to die, they wait, like unwanted calories, until they’ve crossed the line and can do so safely off the property. – The Project On Disney, via Snopes Disney: Estimize Versus Value Investor’s Edge With Disney (NYSE: DIS ) reporting earnings after the close, the nearly 1,200 Disney analysts reporting to Estimize collectively predict the company will beat Wall Street’s consensus earnings estimate, as the graph below shows. Click to enlarge The Estimize consensus earnings estimate shown above, $1.46, is 6 cents ahead of the Wall Street consensus of $1.40. Since its analysts include private investors as well as those from independent research shops, buy-side firms, and sell-side firms, Estimize says its estimates tend to be more accurate than those from Wall Street analysts alone. On the bearish side is Seeking Alpha premium author J Mintzmyer, who runs the Seeking Alpha Marketplace service Value Investor’s Edge . In a Pro Research column ( Time To Short Disney ), Mintzmyer argued the stock was “horribly expensive” (in the comments, Mintzmyer clarifies that, while he still finds the stock overvalued, he is no longer short Disney and feels there are better short opportunities available now). Limiting Downside Risk For Disney Longs For Disney longs boosted by the bullish Estimize earnings prediction, but looking to hedge their downside risk over the next several months, we’ll look at a couple of ways of doing so below the refresher on hedging terms. Refresher On Hedging Terms Recall that puts (short for put options) are contracts that give an investor the right to sell a security for a specified price (the strike price) before a specified date (the expiration date). And calls (short for call options) are contracts that give an investor the right to buy a security for a specified price before a specified date. Optimal puts are the ones that will give you the level of protection you want at the lowest cost. A collar is a type of hedge in which you buy a put option for protection, and at the same time, sell a call option, which gives another investor the right to buy the security from you at a higher strike price by the same expiration date. The proceeds from selling the call option can offset at least part of the cost of buying the put option. An optimal collar is a collar that will give you the level of protection you want at the lowest cost while not capping your possible upside by the expiration date of the hedge by more than you specify. In a nutshell, with a collar, you may be able to reduce the cost of hedging in return for giving up some possible upside. Hedging Disney With Optimal Puts We’re going to use Portfolio Armor’s iOS app to find an optimal put and an optimal collar to hedge Disney, but you don’t need the app to do this. You can find optimal puts and collars yourself by using the process we outlined in this article if you’re willing to take the time and do the work. Whether you run the calculations yourself using the process we outlined or use the app, an additional piece of information you’ll need to supply (along with the number of shares you’re looking to hedge) when scanning for an optimal put is your “threshold”, which refers to the maximum decline you are willing to risk. This will vary depending on your risk tolerance. For the purpose of the examples below, we’ve used a threshold of 15%. If you are more risk-averse, you could use a smaller threshold. And if you are less risk-averse, you could use a larger one. All else equal, though, the higher the threshold, the cheaper it will be to hedge. Here are the optimal puts as of Monday’s close to hedge 200 shares of DIS against a greater-than-15% drop by late October. As you can see at the bottom of the screen capture above, the cost of this protection was $424, or 2.01% of position value. A few points about this hedge: To be conservative, the cost was based on the ask price of the put. In practice, you can often buy puts for less (at some price between the bid and ask). The 15% threshold includes this cost, i.e., in the worst-case scenario, your DIS position would be down 12.99%, not including the hedging cost. The threshold is based on the intrinsic value of the puts, so they may provide more protection than promised if the investor exits after the underlying security declines in the near term, when the puts may still have significant time value . Hedging Disney With An Optimal Collar When searching for an optimal collar, you’ll need one more number in addition to your threshold, your “cap,” which refers to the maximum upside you are willing to limit yourself to if the underlying security appreciates significantly. A logical starting point for the cap is your estimate of how the security will perform over the time period of the hedge. For example, if you’re hedging over a five-month period, and you think a security won’t appreciate more than 6% over that time frame, then it might make sense to use 6% as a cap. You don’t think the security is going to do better than that anyway, so you’re willing to sell someone else the right to call it away if it does better than that. We checked Portfolio Armor’s website to get an estimate of Disney’s potential return over the time frame of the hedge. Every trading day, the site runs two screens to avoid riskier investments on every hedgeable security in the U.S., and then ranks the ones that pass by their potential return. Disney didn’t pass the two screens, do the site didn’t calculate a potential return for it. So we looked at Wall Street’s price targets for the stock via Yahoo Finance (pictured below). We usually work with the median target, but in this case, it’s pretty low relative to the price of the stock. The $110.50 12-month price target represents about a 2% potential return between now and late October. On the other hand, the high target of $130 implies a return of about 9.6% over that time frame. By using a cap of 9%, we were able to eliminate the cost of the hedge in this case, so we used that. As of Monday’s close, this was the optimal collar to hedge 200 shares of DIS against a greater-than-15% drop by late October while not capping an investor’s upside at less than 9% by the end of that time period. As you can see in the first part of the optimal collar above, the cost of the put leg was $328, or 1.56% of position value. But if you look at the second part of the collar below, you’ll see the income generated by selling the call leg was a bit higher: $364, or 1.73% of position value. So, the net cost was negative, meaning an investor opening this collar would have collected an amount equal to $36, or -0.17% of position value. Two notes on this hedge: Similar to the situation with the optimal puts, to be conservative, the cost of the optimal collar was calculated using the ask price of the puts and the bid price of the calls. In practice, an investor can often buy puts for less and sell calls for more (again, at some price between the bid and the ask), so in reality, an investor would likely have collected more than $36 when opening this collar. As with the optimal puts above, this hedge may provide more protection than promised if the investor exits after the underlying security declines in the near future, due to time value (for an example of this, see this recent article on hedging Apple (NASDAQ: AAPL ), Hedging Apple ). However, if the underlying security spikes in the near future, time value can have the opposite effect, making it costly to exit the position early (for an example of this, see this article on hedging Facebook (NASDAQ: FB ), Facebook Rewards Cautious Investors Less ). 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 (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.

The Costs Of Hedge Fund Crowding In Q3 2015

Analyzing Hedge Fund Sector Crowding Our edge comes from a central thesis: the most crowded stocks are those that contribute the most to hedge fund stock-specific volatility (volatility of alpha) . Furthermore, the direction of this alpha (positive or negative) is a leading indicator. A robust analysis of the AlphaBetaWorks Statistical Equity Risk Model allows us to identify stocks that are the highest contributors to stock-specific volatility for hedge funds in each sector. These are the most crowded stocks that stand to benefit the most from accumulation and stand to lose the most from liquidation. While a static crowding analysis using our risk model provides valuable insights, we go further by identifying Hedge Fund Aggregate Sector Alpha – the alpha (stock-specific performance) of aggregated hedge fund portfolios by sector. This makes the analysis dynamic: If Hedge Fund Aggregate Sector Alpha is trending up, capital is flowing into crowded stocks. Conversely, if it is trending down, capital is flowing out of crowded stocks – often abruptly. Yes, crowding is good at some times and bad at others. Further, Hedge Fund Aggregate Sector Alpha trends persist for months and years, providing advanced notice of losses. Importantly, crowded stocks hit hard by liquidations tend to mean-revert: the worst risk-adjusted performers often become attractive long opportunities. Hedge Fund Sector Aggregates We create aggregate portfolios of hedge fund positions in each sector. Each such sector portfolio is a Hedge Fund Sector Aggregate within which we identify the highest contributors to security-specific (residual) volatility (the most crowded stocks). This follows the approach of our earlier articles on hedge fund crowding . The Hedge Fund Sector Aggregate Alpha ( α Return , residual , or security-specific return ) measures hedge fund security selection performance in a sector. It is the return HF Sector Aggregate would have generated if markets had been flat. αReturn can indicate accumulations and liquidations. The AlphaBetaWorks Statistical Equity Risk Model, a proven tool for forecasting portfolio risk and performance , estimated factor exposures and residuals . Without an effective risk model, simplistic crowding analyses ignore the systematic and idiosyncratic exposures of positions and typically merely identify companies with the largest market capitalizations. Sectors with the Largest Losses from Hedge Fund Crowding During Q3 2015, hedge funds lost $4 billion to security selection in the five sectors below. Said another way: if hedge funds had simply invested passively with the same risk, their sector long equity portfolios would have made $4 billion more. The monthly losses are listed (in $millions) below: 7/31/2015 8/31/2015 9/30/2015 Total Other Consumer Services -101.16 -113.93 -312.84 -426.77 Oil and Gas Pipelines 472.21 -465.63 -10.29 -475.93 Specialty Chemicals -155.87 196.41 -730.73 -534.32 Oil Refining and Marketing 262.69 -167.15 -388.52 -555.67 Semiconductors -240.71 -1,422.70 -660.95 -2,083.65 The Semiconductor Sector was particularly painful for hedge funds in Q3 2015, which we examined in a previous article . Below we provide our data on three of the above sectors: historical Hedge Fund Sector Alpha and the most crowded names. Specialty Chemicals – Hedge Fund Alpha and Crowding Hedge Fund Specialty Chemicals Security Selection Performance Click to enlarge Historical Return from Security Selection of Hedge Fund Specialty Chemicals Sector Aggregate Hedge Fund Specialty Chemicals Crowding Click to enlarge Crowded Hedge Fund Specialty Chemicals Sector Bets The following table contains detailed data on these crowded holdings: Exposure (%) Net Exposure Share of Risk (%) HF Sector Aggr. Sector Aggr. % $mil Days of Trading (NYSE: PAH ) Platform Specialty Products Corp. 17.59 2.52 15.07 1,351.8 14.3 44.62 (NYSE: APD ) Air Products and Chemicals, Inc. 47.46 13.89 33.57 3,010.8 13.7 22.09 (NYSE: LYB ) LyondellBasell Industries NV 3.36 23.03 -19.67 -1,764.2 -5.9 14.04 (NASDAQ: GRBK ) Green Brick Partners, Inc. 2.99 0.25 2.74 245.7 79.7 10.58 (NYSE: GRA ) W. R. Grace & Co. 11.76 3.45 8.32 745.8 11.0 2.99 (NYSE: PX ) Praxair, Inc. 0.31 16.29 -15.98 -1,433.5 -5.9 2.21 (NYSE: AXLL ) Axiall Corporation 2.79 1.20 1.59 142.8 4.5 0.74 (NYSE: TROX ) Tronox Ltd. 1.80 0.45 1.35 121.2 14.2 0.36 (NYSE: ARG ) Airgas, Inc. 0.19 3.77 -3.59 -321.8 -4.1 0.33 (NASDAQ: SIAL ) Sigma-Aldrich Corporation 3.32 7.88 -4.56 -408.6 -2.3 0.28 (NYSE: NEU ) NewMarket Corporation 0.23 2.61 -2.38 -213.4 -6.0 0.26 (NYSE: VHI ) Valhi, Inc. 0.02 0.91 -0.88 -79.2 -240.2 0.26 (NYSE: CYT ) Cytec Industries Inc. 0.07 2.04 -1.97 -176.5 -2.0 0.18 (NYSE: ASH ) Ashland Inc. 1.66 3.89 -2.23 -200.0 -2.4 0.18 (NYSE: POL ) PolyOne Corporation 0.19 1.65 -1.46 -131.2 -4.3 0.10 (NASDAQ: TANH ) Tantech Holdings Ltd. 0.00 0.19 -0.19 -17.3 -2.7 0.09 (NASDAQ: BCPC ) Balchem Corporation 0.00 0.82 -0.82 -73.4 -8.8 0.07 (NYSE: CBM ) Cambrex Corporation 0.06 0.65 -0.59 -53.2 -2.1 0.06 (NYSE: CMP ) Compass Minerals International, Inc. 0.15 1.31 -1.16 -104.0 -4.8 0.06 … Other Positions 0.29 0.51 Total 100.00 Oil Refining and Marketing – Hedge Fund Alpha and Crowding Hedge Fund Oil Refining and Marketing Security Selection Performance Click to enlarge Historical Return from Security Selection of Hedge Fund Oil Refining and Marketing Sector Aggregate Hedge Fund Oil Refining and Marketing Crowding Click to enlarge Crowded Hedge Fund Oil Refining and Marketing Sector Bets The following table contains detailed data on these crowded holdings: Exposure (%) Net Exposure Share of Risk (%) HF Sector Aggr. Sector Aggr. % $mil Days of Trading (NYSE: MWE ) MarkWest Energy Partners, L.P. 18.23 5.31 12.92 848.9 6.1 31.86 (NYSE: VLO ) Valero Energy Corporation 0.38 16.06 -15.68 -1,030.4 -2.7 23.34 (NYSE: TSO ) Tesoro Corporation 14.32 5.36 8.96 589.0 1.4 12.74 (NYSE: TRGP ) Targa Resources Corp. 8.99 2.52 6.47 425.3 8.7 7.76 (NYSE: PSX ) Phillips 66 9.21 21.86 -12.66 -831.8 -2.8 6.03 (NYSE: PBF ) PBF Energy, Inc. Class A 6.80 1.23 5.56 365.6 7.8 5.84 (NYSE: NGLS ) Targa Resources Partners LP 8.74 3.52 5.21 342.7 6.2 2.84 (NYSE: WGP ) Western Gas Equity Partners LP 3.58 6.63 -3.05 -200.5 -7.4 2.06 (NYSE: MPC ) Marathon Petroleum Corporation 9.59 14.34 -4.75 -312.0 -1.1 1.81 (NYSE: TLLP ) Tesoro Logistics LP 5.12 2.33 2.79 183.1 3.5 1.45 (NYSE: HFC ) HollyFrontier Corporation 1.29 4.22 -2.93 -192.3 -1.4 1.11 (NYSE: WNR ) Western Refining, Inc. 0.21 2.10 -1.89 -124.5 -1.4 0.61 (NYSE: IOC ) Interoil Corporation 0.66 1.50 -0.84 -55.3 -6.9 0.49 (NYSE: GEL ) Genesis Energy, L.P. 4.35 2.20 2.15 141.1 6.2 0.34 (NYSE: ENBL ) Enable Midstream Partners LP 0.39 1.73 -1.34 -88.2 -31.6 0.33 (NYSE: EMES ) Emerge Energy Services LP 0.01 0.43 -0.42 -27.6 -6.1 0.29 (NYSE: DK ) Delek US Holdings, Inc. 0.00 1.07 -1.07 -70.0 -1.2 0.26 (NYSE: WNRL ) Western Refining Logistics, LP 1.57 0.36 1.21 79.5 15.0 0.24 (NYSE: ALJ ) Alon USA Energy, Inc. 0.00 0.67 -0.67 -44.1 -2.3 0.18 (NYSE: NS ) NuStar Energy L.P. 3.50 2.33 1.17 76.9 1.4 0.15 … Other Positions 0.07 0.28 Total Semiconductors – Hedge Fund Alpha and Crowding Hedge Fund Semiconductor Security Selection Performance Click to enlarge Historical Return from Security Selection of Hedge Fund Semiconductors Sector Aggregate Given the magnitude of recent semiconductor sector liquidations and the record of mean-reversions, the following crowded hedge fund semiconductor bets may now be especially attractive: Hedge Fund Semiconductor Crowding Click to enlarge Crowded Hedge Fund Semiconductors Sector Bets The following table contains detailed data on these crowded holdings: Exposure (%) Net Exposure Share of Risk (%) HF Sector Aggr. Sector Aggr. % $mil Days of Trading (NYSE: SUNE ) SunEdison, Inc. 33.18 1.82 31.36 2,550.9 9.6 86.72 (NASDAQ: MU ) Micron Technology, Inc. 18.87 3.95 14.93 1,214.1 2.9 8.85 (NASDAQ: INTC ) Intel Corporation 3.72 27.94 -24.22 -1,970.2 -1.6 2.01 (NASDAQ: SEMI ) SunEdison Semiconductor, Inc. 3.22 0.14 3.08 250.7 52.5 0.38 (NASDAQ: SWKS ) Skyworks Solutions, Inc. 0.04 3.85 -3.82 -310.4 -0.9 0.38 (NASDAQ: TXN ) Texas Instruments Incorporated 0.09 10.38 -10.28 -836.6 -1.9 0.32 (NASDAQ: NXPI ) NXP Semiconductors NV 7.90 4.41 3.49 283.6 1.0 0.29 (NASDAQ: AVGO ) Avago Technologies Limited 3.29 6.69 -3.40 -276.3 -0.5 0.18 (NYSE: FSL ) Freescale Semiconductor Inc 0.02 2.40 -2.38 -193.5 -5.2 0.17 (NASDAQ: ON ) ON Semiconductor Corporation 3.39 0.97 2.42 196.6 4.3 0.08 (NASDAQ: MLNX ) Mellanox Technologies, Ltd. 1.89 0.43 1.45 118.3 0.7 0.08 (NASDAQ: BRCM ) Broadcom Corporation Class A 7.81 5.51 2.30 187.2 0.5 0.07 (NYSE: MX ) MagnaChip Semiconductor Corporation 0.92 0.05 0.87 70.9 31.2 0.07 (NASDAQ: ADI ) Analog Devices, Inc. 0.05 3.90 -3.85 -312.9 -1.7 0.06 (NASDAQ: QRVO ) Qorvo, Inc. 1.13 2.32 -1.19 -96.7 -1.1 0.06 (NASDAQ: NVDA ) NVIDIA Corporation 0.58 2.10 -1.51 -123.1 -0.4 0.04 (0Q19) CEVA, Inc. 1.25 0.08 1.17 95.5 30.7 0.04 (NASDAQ: MRVL ) Marvell Technology Group Ltd. 0.04 1.32 -1.28 -104.4 -0.9 0.03 (NASDAQ: MXIM ) Maxim Integrated Products, Inc. 0.34 1.90 -1.56 -126.9 -1.7 0.02 (NYSE: MXL ) MaxLinear, Inc. Class A 0.74 0.12 0.62 50.6 2.8 0.02 … Other Positions 0.36 0.13 Total Conclusions Data on the crowded names and their alpha can reduce losses and provide profitable investment opportunities. A robust and predictive equity risk model is necessary to accurately identify hedge fund crowding. Fund followers and allocators aware of crowding can gain new insights into portfolio risk, manager skill, and fund differentiation. Crowded bets tend to mean-revert following liquidation: the worst risk-adjusted performers in a sector become the best. 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.