Research Article Open Access

A Price Hedging Model in Dynamic Market

Kuo-Wei Lin1, Kuang-Jung Tseng1 and Szu-Cheng Cheng2
  • 1 Department of International Business, Hsuan Chuang University, No.48, Hsuan Chuang Road, Hsinchu City 30092, Taiwan, China
  • 2 Department of Physics, Chinese Culture University, Taipei 11114, Taiwan, China


Problem statement: Pricing is a problem when a firm has to set a price for the first time. This happens when the firm develops or acquires a new product, introduces its regular product into a new distribution or geographical area, or enters bids on the new contract work. Many companies try to set the price to maximize current profits. They estimate the demand and costs associated with alternative prices and choose the price that maximizes current profit, cash flow, or rate of return on investment. There are, however, some problems associated with the current profit maximizing approach as it assumes that the firm knows its demand and cost functions; in reality, demand is difficult to estimate and is unpredictable. Approach: Due to demand’s unpredictability, we assume that it follows a lognormal random walk. Based on this, we develop a mathematical pricing processes model by stochastic calculus, which is similar to the financial process mathematical model. From Ito’s lemma, a product’s profit correlates with demand, is also unpredictable and follows a random walk. Such random behavior is the marketing risk. Results: By choosing a price strategy to eliminate randomness, called price hedging, we obtain risk-free profit determined by the Black-Scholes equation. This riskless profit, which is predictable, is the same we would get by putting the equivalent amount of cash in a risk-free interest-bearing account. Conclusion: From price hedging and the Black-Scholes equation, we determine the basic product price, which changes with time and demand.

American Journal of Applied Sciences
Volume 9 No. 7, 2012, 988-992


Submitted On: 8 February 2012 Published On: 3 August 2012

How to Cite: Lin, K., Tseng, K. & Cheng, S. (2012). A Price Hedging Model in Dynamic Market. American Journal of Applied Sciences, 9(7), 988-992.

  • 0 Citations



  • Risk
  • randomness
  • price hedging