volatility arbitrage around earnings announcements

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Volatility Arbitrage Around Earnings Announcements using warrants

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  • Bok Baik, Hyoung-Goo Kang and Young Jun Kim

    4.9.2013

    Volatility Arbitrage around Earnings Announcements:

    Evidence from the Korean Equity Linked Warrants Market

  • ELW News Headlines

    2

    Put ELW yields 4,000% return for two days Money Today 2011.08.03

    Massive speculations in the ELW market. Institutional investors win big while individuals

    lose fortunes. Hankyoreh 2010.10.22

    Financial Supervisory Commission to require sufficient training for ELW trading.

    Money Today 2010.10.31

    Regulators crack down on the ELW market. KRW 15 million balance requisite for

    investors, limitations on scalpers, and rigorous issue standards.

    Maeil Business 2011.05.19

  • Research Questions

    3

    1. Is there any predictable pattern of movements in the implied volatility of ELWs

    around earnings announcements?

    2. If so, can certain market players take advantage of these opportunities?

  • Literature Review

    4

    The impact of Events or News on the Implied volatility

    Scheduled firm-specific news

    Earnings announcements

    Patell and Wolfson(1979,1981), Donders and Vorst(1996)

    IV increases significantly before earnings announcements and drop afterwards

    Management forecasts

    Rogers, Skinner and VanBuskirk (2009)

    IV increases after management forecasts (irregular and bad news)

    Unscheduled firm-specific news

    Mergers and Acquisitions

    Levy and Yoder(1993)

    IV of target firms increase significantly three days before the announcement.

    IV of the bidding firm are not affected.

  • The Equity Linked Warrants (ELWs)

    5

    Introduced on 12/01/2005

    The world's second largest after Hong Kong

    Similar payoff to options payoff, but legally stock, not derivative

    Underlying asset: stocks in KOSPI100, 5 large cap stocks in KOSDAQ, Indices

    Issued by the securities firms

    Liquidity Provider(LP) at least one liquidity provider should be assigned to each ELW

    duty of offering a bid-ask price every 5 min

    Year

    No. of

    listed ELWs

    No. of

    underlying

    assets

    Market cap

    (KRW billion)

    Market cap

    growth rate

    Average daily

    trading value

    (KRW billion)

    Average trading

    value

    of the ELW

    market

    compared to

    the KOSPI

    2005 72 23 662 21 0.4%

    2006 1,387 66 3,826 478.2% 185 5.4%

    2007 1,646 71 4,843 26.6% 276 5.0%

    2008 2,613 77 4,415 -8.8% 385 7.4%

    2009 4,367 106 7,286 65.0% 852 14.7%

    2010 9,063 110 23,789 226.5% 1,637 29.2%

  • Sample

    Period: 12/01/2005 ~ 06/30/2010

    ELW: KOSCOM

    Earnings Announcement Date: Disclosure system, maintained by KRX

    Stock price: Data Guide

    Sample Selection Criteria

    European Call ELW ( 91.3% of total ELWs written on individual stocks)

    Non-missing during the 21-day interval

    Time-to-Maturity > 30 Days: LP are exempt from liquidity provision requirements

    ELW Price > KRW 10: LP are exempt from liquidity provision requirements

    Exclude financial industry

    Exclude ELWs that are not traded for more than 10 days during the 21-day interval

    6

    Panel A: All Call ELWs Panel B: ELWs with non-missing price observation in

    [-10,+10]

    Panel C: ELWs satisfying selection criteria

    in [-10,+10]

    ELW (#) Observations

    (#)

    Underlying

    stocks (#) ELW (#)

    Observations

    (#)

    Underlying

    stocks (#) Events (#) ELW (#)

    Observations

    (#)

    Underlying

    stocks (#) Events (#)

    20,949 1,970,915 119 5,166 108,486 94 281 2,461 51,681 88 262

  • Top (Bottom) 10 Underlying Stocks After screening with the Largest (Least) Number of ELWs Traded around Earnings Announcements

    7

    Rank Underlying

    Stock 2005 2006 2007 2008 2009 Total Percent

    1 Samsung

    Electronics 9 36 63 44 69 221 8.98%

    2 Hynix 4 30 53 28 53 168 6.83%

    3 Hyundai

    Motors 6 26 46 33 51 162 6.58%

    4 LG

    Electronics 3 20 24 29 54 130 5.28%

    5 LG Display 3 17 32 26 42 120 4.88%

    6 POSCO 3 7 23 31 37 101 4.10%

    7 KIA Motors 2 9 13 12 41 77 3.13%

    8

    Samsung

    Heavy

    Industries

    1 14 19 21 21 76 3.09%

    9

    Hyundai

    Heavy

    Industries

    3 7 18 21 22 71 2.89%

    10 SK

    Telecom 0 7 17 13 33 70 2.84%

    Subtotal 34 173 308 258 423 1196 48.60%

    Total 51 330 590 498 992 2461 100.00

    %

    Rank Underlying

    Stock Total Percent

    79 Hite holdings 1 0.04%

    80 Orion 1 0.04%

    81 KCC 1 0.04%

    82 Amorepacific 1 0.04%

    83 Samsung Fine

    Chemicals 1 0.04%

    84 Hansol Paper 1 0.04%

    85 Poongsan

    Corporation 1 0.04%

    86 Hyundai

    Hysco 1 0.04%

    87 SBS 1 0.04%

    88 LG Household

    & Health Care 1 0.04%

    Subtotal 10 0.37%

    Total 2461 100.00%

    Top 10 Bottom 10

    Period: 2005.12.1~2010.6.30

  • Average Implied Volatility around Earnings Announcements

    8

    Liquidity weighted average of implied volatility per underlying stock Group ELWs by each underlying stock each year and calculate a weighted average implied volatility

    based on ELW trading volume

    Top 50% (25%) liquid subsample ELWs with total trading volume in the top 50 (25) percentile over the event period

    Implied volatility tends to decrease around earnings announcement

  • Abnormal Trading Volume around Earnings Announcements

    9

  • Comparison of Implied Volatility Before and After the Earnings Announcement

    10

    Days

    T1: T2

    Average of

    Median of % of events where

    < 0

    - 1:0 -0.0002 -0.0005 47.0%

    0:+1 -0.0063 -0.0017*** 48.5%

    -10:+10 -0.0348*** -0.0276*** 57.9%

    -9:+9 -0.0162* -0.0182*** 54.6%

    -8:+8 -0.0149*** -0.0142*** 54.6%

    -7:+7 -0.0182** -0.0169*** 55.9%

    -6:+6 -0.0163** -0.0139*** 54.3%

    -5:+5 -0.0120* -0.0084*** 52.1%

    -4:+4 -0.0039 -0.0067*** 50.9%

    -3:+3 -0.0030 -0.0050*** 50.1%

    -2:+2 -0.0123** -0.0079*** 52.9%

    -1:+1 -0.0065 -0.0036*** 49.9%

  • Subsequent Question

    11

    Can certain market players take advantage of these opportunities?

  • Volatility Arbitrage Trading Strategy

    12

    Volatility Arbitrage Trading Strategy:

    Delta-neutral short position (short volatility position)

    Neutralize the small changes in underlying stocks and bet on the decrease of the ELWs

    implied volatility

    Construct a delta neutral portfolio 10 days before announcement and liquidate the position

    10 days after announcement

    Delta Neutral Portfolio

    The portfolio value remains unchanged due to small changes in the value of the underlying

    security.

    Sell ELW and buy # of stocks by using ELW sale proceeds and borrowing/depositing

    bonds and rebalance it everyday

    Zero-investment portfolio V(0)=0

    = 0

  • Trading Profit across Various Window Sizes

    13

    Assumptions

    Trading cost of buying stocks =0.1% Trading cost of selling stocks =0.4% =0.1% + 0.3%(Tax)

    Trading cost of buying ELW =0.1% Trading cost of selling ELW =0.1% (No Tax)

    Our trading strategy generates a sizable profit of 11.40 % for 21 days

    Trading

    Period

    N Mean Std Dev Min 1% 5% 10% 25% 50% 75% 90% 95% 99% Max

    [-10,+10] 2461 11.40% 28.30% -377.60% -52.10% -16.40% -7.60% 1.80% 10.40% 20.90% 34.10% 43.70% 65.90% 546.20%

    [-9,9] 2461 9.80% 29.40% -259.10% -50.30% -18.90% -9.20% 0.20% 8.50% 18.70% 31.60% 41.00% 64.40% 773.30%

    [-8,8] 2461 9.10% 23.90% -405.40% -51.50% -17.90% -8.90% 0.20% 8.00% 17.60% 31.00% 40.70% 65.30% 253.60%

    [-7,7] 2461 8.90% 22.60% -183.20% -46.00% -17.00% -8.90% -0.30% 7.20% 16.40% 28.80% 39.90% 74.80% 330.20%

    [-6,6] 2461 8.00% 20.60% -156.90% -40.30% -15.90% -8.70% -0.80% 6.10% 14.60% 27.70% 37.70% 64.30% 281.20%

    [-5,5] 2461 6.10% 22.80% -366.20% -40.10% -16.00% -9.40% -2.50% 4.80% 12.20% 23.70% 34.10% 59.50% 441.10%

    [-4.4] 2461 3.70% 19.30% -196.90% -41.30% -19.20% -11.10% -3.50% 2.70% 9.70% 19.50% 27.30% 50.50% 376.70%

    [-3,3] 2461 1.90% 18.40% -302.80% -48.80% -21.40% -13.10% -4.40% 1.70% 8.70% 18.30% 26.80% 47.60% 180.30%

    [-2,2] 2461 1.70% 16.50% -265.50% -47.20% -18.50% -12.10% -4.20% 1.10% 7.80% 16.70% 24.20% 42.80% 175.50%

    [-1,1] 2461 -0.80% 14.50% -163.60% -44.80% -19.80% -12.80% -5.70% -0.60% 4.60% 12.00% 18.40% 36.40% 112.80%

  • Trading Profit by Moneyness and Maturity

    14

    Mean Trading Profit Median Trading Profit

    Short term: 30 < m 60 days Medium term:60< m 120 days Long term: m >120 days

    Mny = 1-K/(St-PVDt )

    Mny -0.09 (Deep OTM) -0.09

  • Trading Profit by Moneyness and Maturity

    15

    Moneyness Maturity N Mean Median Std Dev

    Deep OTM

    ST 326 26.00% 23.80% 51.90%

    MT 680 14.60% 14.10% 26.20%

    LT 347 8.10% 8.40% 14.90%

    OTM

    ST 83 10.30% 16.10% 45.20%

    MT 168 5.60% 8.00% 20.20%

    LT 78 3.90% 6.40% 22.20%

    ATM

    ST 69 8.00% 10.90% 21.60%

    MT 153 6.00% 8.40% 14.70%

    LT 61 4.70% 5.30% 12.20%

    ITM

    ST 68 9.00% 10.60% 19.40%

    MT 128 5.00% 6.00% 17.50%

    LT 58 5.20% 5.60% 9.40%

    Deep ITM

    ST 47 7.70% 7.80% 12.50%

    MT 130 6.40% 4.90% 11.60%

    LT 65 4.90% 4.30% 7.30%

    ST > MT > LT Deep OTM > Other Moneyness

    N Mean Median Std Dev

    Deep OTM 1353 15.70% 13.70% 33.00%

    Moneyness OTM 329 6.40% 9.10% 29.00%

    ATM 283 6.20% 8.30% 16.20%

    ITM 254 6.10% 6.70% 16.60%

    Deep ITM 242 6.30% 5.50% 10.80%

    ST 593 18.30% 16.10% 44.10%

    Maturity MT 1259 10.50% 10.60% 22.70%

    LT 609 6.60% 6.80% 14.80%

  • Robustness Test

    16

    N Mean Std Dev Min 1% 5% 10% 25% 50% 75% 90% 95% 99% Max

    Full

    sample 2461 11.4% 28.3% -377.6% -52.1% -16.4% -7.6% 1.8% 10.4% 20.9% 34.1% 43.7% 65.9% 546.2%

    Top

    50% 1231 9.4% 27.7% -377.6% -52.1% -16.4% -7.6% 1.6% 9.1% 18.0% 29.6% 37.1% 51.9% 546.2%

    Top

    25% 616 9.4% 32.4% -377.6% -49.2% -16.0% -6.6% 2.1% 8.7% 17.3% 27.2% 35.9% 50.7% 546.2%

    N Mean Std Dev Min 1% 5% 10% 25% 50% 75% 90% 95% 99% Max

    Normal

    TC 2461 11.4% 28.3% -377.6% -52.1% -16.4% -7.6% 1.8% 10.4% 20.9% 34.1% 43.7% 65.9% 546.2%

    High TC 2461 9.4% 28.5% -393.5% -54.5% -19.3% -9.7% 0.0% 8.4% 19.1% 32.9% 42.4% 63.8% 532.0%

    Trading Profit in [-10,10] by Liquidity

    Trading Profit in [-10,10] and Transaction Cost

    Normal TC:40 bps per unit for stock sale and 10 bps per unit for stock purchase and ELW trading

    High TC:80 bps per unit for stock sale and 50 bps per unit for stock purchase and ELW trading

    Small reduction in trading profit

  • Conclusion

    17

    Implied volatilities in the Korean ELW market tend to decrease before EA

    LPs face advantageous trading opportunities around EA

    -In particular, short-term deep out-of-the-money ELWs deliver a 26.0% trading profit

    -The Korean ELW market does not seem to be a level playing field