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Zero-Cost Collar Strategy For Chilean Exporters: Black-Scholes Valuation Vs Monte Carlo Simulations, Estrategia Collar Costo Cero Para Exportadores Chilenos. Valuacion De Black-Scholes Vs Simulaciones De Montecarlo

Author

Listed:
  • Eduardo Sandoval
  • Paula Urrutia

Abstract

Monte Carlo Simulation (MCS) is an important technique used in finance to value European options in general and hedging strategies of exchange rate risk in particular. However, Hull (2012) indicates that this technique demands much computing time to achieve a high level of precision. In spite of the above, this article shows that the standard errors associated with MCS can be significantly reduced by increasing the number of random walks. Additionally, it is shown that the valuation of zero-cost collar strategy followed by a Chilean exporter, who seeks monthly coverage against foreign exchange risk, converges at the same price either using the Black-Scholes model or MCS when the number of random walks increases through simulations. Finally, the effectiveness of zero-cost collar strategy is evaluated. This strategy shows clear economic benefits associated of being implemented in periods of appreciation of the Chilean peso against the U.S. dollar.

Suggested Citation

  • Eduardo Sandoval & Paula Urrutia, 2014. "Zero-Cost Collar Strategy For Chilean Exporters: Black-Scholes Valuation Vs Monte Carlo Simulations, Estrategia Collar Costo Cero Para Exportadores Chilenos. Valuacion De Black-Scholes Vs Simulaciones," Revista Internacional Administracion & Finanzas, The Institute for Business and Finance Research, vol. 7(5), pages 25-40.
    • Handle: RePEc:ibf:riafin:v:7:y:2014:i:5:p:25-40
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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