ISSN 0253-2778

CN 34-1054/N

Open AccessOpen Access JUSTC Original Paper

Pricing and hedging barrier options based on Merton model and Monte Carlo simulation

Cite this:
https://doi.org/10.3969/j.issn.0253-2778.2018.11.007
  • Received Date: 11 September 2017
  • Accepted Date: 08 December 2017
  • Rev Recd Date: 08 December 2017
  • Publish Date: 30 November 2018
  • Barrier options as typical exotic options are trading frequently at the domestic OTC (over-the counter) market, whose jumping structure and path dependence make the hedge method a constant problem for the industry. Here a barrier options hedge strategy applicable to current domestic financial market was designed by a comparative analysis for pricing the up-and-out barrier options of the CSI 300 index. The barrier options price and the Greeks change were analyzed through the analytical solution of the Black-Scholes-Merton model and numerical solution of the Monte Carlo simulation method. According to the simulated 10 000 index path of hedge and the variation of delta, the static replicate maximal cost was enumerated and options dynamic barrier out-shift boundary was deduced for analyzing the average hedge cost and extreme effect. 2011~2016 actual CSI 300 was selected to back-test and verify the effectiveness of the hedge strategy. The results show that the hedge average cost is significantly reduced under the hedge idea of the traversal trigger outward moving barrier boundary, and that the distribution of the hedge extremes and quantiles is relatively smooth, which reflects the good performance of the hedge strategy and the effective hedge of the barrier option.
    Barrier options as typical exotic options are trading frequently at the domestic OTC (over-the counter) market, whose jumping structure and path dependence make the hedge method a constant problem for the industry. Here a barrier options hedge strategy applicable to current domestic financial market was designed by a comparative analysis for pricing the up-and-out barrier options of the CSI 300 index. The barrier options price and the Greeks change were analyzed through the analytical solution of the Black-Scholes-Merton model and numerical solution of the Monte Carlo simulation method. According to the simulated 10 000 index path of hedge and the variation of delta, the static replicate maximal cost was enumerated and options dynamic barrier out-shift boundary was deduced for analyzing the average hedge cost and extreme effect. 2011~2016 actual CSI 300 was selected to back-test and verify the effectiveness of the hedge strategy. The results show that the hedge average cost is significantly reduced under the hedge idea of the traversal trigger outward moving barrier boundary, and that the distribution of the hedge extremes and quantiles is relatively smooth, which reflects the good performance of the hedge strategy and the effective hedge of the barrier option.
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  • [1]
    BLACKF, SCHOLES M. The pricing of options and corporate liabilities[J]. The Journal of Political Economy, 1973, 81: 637-659.
    [2]
    MERTON R C. Theory of rational option pricing[J]. Bell Journal of Economics and Management Science, 1973, 4(1): 141-183.
    [3]
    RUBINSTEIN M, REINER E. Breaking down the barrier[J]. Risk, 1991, 4: 28-35.
    [4]
    HEYNEN P, KAT H. Partial barrier options[J]. Journal of Financial Engineering, 1994, 3: 253-274.
    [5]
    HEYNEN P, KAT H. Discrete partial barrier options with a moving barrier[J]. Journal of Financial Engineering, 1994, 5: 199-209.
    [6]
    CARR P. Two extension to barrier option valuation[J]. Applied Mathematical Finance, 1995, 2: 173-209.
    [7]
    XING L. Application of finite difference methods in stock option pricing[J]. Science Technology and Engineer, 2007, 7(19): 5192-5195.
    [8]
    CAROLE B, PHELIM B. Monte Carlo methods for pricing discrete Parisian options[J].The European Journal of Finance, 2011, 17(3): 169-196.
    [9]
    Derman E, Ergener D, Kani I. Forever hedged[J]. Risk, 1994, 7: 139-145.
    [10]
    CARR P, CHOU A. Hedging complex barrier options[R]. Cambridge, MA: Morgan Stanley and MIT Computer Science, 1997.
    [11]
    CARR P, ELLIS K, GUPTA V. Static hedging of exotic options[J]. Journal of Finance, 1998, 53(3): 1165-1190.
    [12]
    CARR P, PICRON J. Static hedging of timing risk[J]. Journal of Derivatives, 1999, 6 (3): 57-70.
    [13]
    TOMPKINS R. Static versus dynamic hedging of exotic options: An evaluation of hedge performance via simulation[J]. Journal of Risk Finance, 2002, 3: 6-34.
    [14]
    CVITANI J, PHAM H, TOUZI N. Super-replication in stochastic volatility models under portfolio constraints[J].Applied Probability Trust, 1999, 36(2): 523-545.
    [15]
    CVITANI J, PHAM H, TOUZI N. Hedging in discrete time under transaction costs and continuous-time limit [J]. Applied Probability Trust, 1999, 36(1): 163-178.
    [16]
    JUN D, KU H. Static hedging of chained-type barrier options[J]. North American Journal of Economics and Finance, 2015, 33: 317-327.
    [17]
    CARR P P, JARROW R A. The stop-loss start-gain paradox and option valuation: A new decomposition into intrinsic and time value[J]. The Review of Financial Studies, 1990, 3(3): 469-482.
    [18]
    RUBINSTEIN M, REINER E. Breaking down the barrier[J]. Risk,1991,4: 28-35.
    [19]
    储国强,卫剑波,王琦.沪深300指数障碍期权的动态对冲研究[J].武汉金融,2014(12): 25-29.
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Catalog

    [1]
    BLACKF, SCHOLES M. The pricing of options and corporate liabilities[J]. The Journal of Political Economy, 1973, 81: 637-659.
    [2]
    MERTON R C. Theory of rational option pricing[J]. Bell Journal of Economics and Management Science, 1973, 4(1): 141-183.
    [3]
    RUBINSTEIN M, REINER E. Breaking down the barrier[J]. Risk, 1991, 4: 28-35.
    [4]
    HEYNEN P, KAT H. Partial barrier options[J]. Journal of Financial Engineering, 1994, 3: 253-274.
    [5]
    HEYNEN P, KAT H. Discrete partial barrier options with a moving barrier[J]. Journal of Financial Engineering, 1994, 5: 199-209.
    [6]
    CARR P. Two extension to barrier option valuation[J]. Applied Mathematical Finance, 1995, 2: 173-209.
    [7]
    XING L. Application of finite difference methods in stock option pricing[J]. Science Technology and Engineer, 2007, 7(19): 5192-5195.
    [8]
    CAROLE B, PHELIM B. Monte Carlo methods for pricing discrete Parisian options[J].The European Journal of Finance, 2011, 17(3): 169-196.
    [9]
    Derman E, Ergener D, Kani I. Forever hedged[J]. Risk, 1994, 7: 139-145.
    [10]
    CARR P, CHOU A. Hedging complex barrier options[R]. Cambridge, MA: Morgan Stanley and MIT Computer Science, 1997.
    [11]
    CARR P, ELLIS K, GUPTA V. Static hedging of exotic options[J]. Journal of Finance, 1998, 53(3): 1165-1190.
    [12]
    CARR P, PICRON J. Static hedging of timing risk[J]. Journal of Derivatives, 1999, 6 (3): 57-70.
    [13]
    TOMPKINS R. Static versus dynamic hedging of exotic options: An evaluation of hedge performance via simulation[J]. Journal of Risk Finance, 2002, 3: 6-34.
    [14]
    CVITANI J, PHAM H, TOUZI N. Super-replication in stochastic volatility models under portfolio constraints[J].Applied Probability Trust, 1999, 36(2): 523-545.
    [15]
    CVITANI J, PHAM H, TOUZI N. Hedging in discrete time under transaction costs and continuous-time limit [J]. Applied Probability Trust, 1999, 36(1): 163-178.
    [16]
    JUN D, KU H. Static hedging of chained-type barrier options[J]. North American Journal of Economics and Finance, 2015, 33: 317-327.
    [17]
    CARR P P, JARROW R A. The stop-loss start-gain paradox and option valuation: A new decomposition into intrinsic and time value[J]. The Review of Financial Studies, 1990, 3(3): 469-482.
    [18]
    RUBINSTEIN M, REINER E. Breaking down the barrier[J]. Risk,1991,4: 28-35.
    [19]
    储国强,卫剑波,王琦.沪深300指数障碍期权的动态对冲研究[J].武汉金融,2014(12): 25-29.

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