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Liquidity risk, price impacts and the replication problem

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Abstract

We extend a linear version of the liquidity risk model of Çetin et al. (Finance Stoch. 8:311–341, 2004) to allow for price impacts. We show that the impact of a market order on prices depends on the size of the transaction and the level of liquidity. We obtain a simple characterization of self-financing trading strategies and a sufficient condition for no arbitrage. We consider a stochastic volatility model in which the volatility is partly correlated with the liquidity process and show that, with the use of variance swaps, contingent claims whose payoffs depend on the value of the asset can be approximately replicated in this setting. The replicating costs of such payoffs are obtained from the solutions of BSDEs with quadratic growth, and analytical properties of these solutions are investigated.

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References

  1. Alfonsi, A., Fruth, A., Schied, A.: Optimal execution strategies in limit order books with general shape functions. Quant. Finance 10, 143–157 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  2. Bank, P., Baum, D.: Hedging and portfolio optimization in financial markets with a large trader. Math. Finance 14, 1–18 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  3. Blais, M.: Liquidity and modeling the stochastic supply curve for a stock price. Ph.D. Thesis, Cornell University (2006). http://proquest.umi.com/pqdlink?Ver=1&Exp=09-01-2015&FMT=7&DID=1147182381&RQT=309&attempt=1

  4. Blais, M., Protter, P.: An analysis of the supply curve for liquidity risk through book data. Int. J. Theor. Appl. Finance 13, 821–838 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  5. Briand, P., Hu, Y.: BSDE with quadratic growth and unbounded terminal value. Probab. Theory Relat. Fields 136, 604–618 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  6. Çetin, U., Jarrow, R., Protter, P.: Liquidity risk and arbitrage pricing theory. Finance Stoch. 8, 311–341 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  7. Çetin, U., Rogers, L.C.G.: Modeling liquidity effects in discrete time. Math. Finance 17, 15–29 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  8. Çetin, U., Soner, H.M., Touzi, N.: Options hedging for small investors under liquidity costs. Finance Stoch. 14, 317–341 (2010)

    Article  MathSciNet  Google Scholar 

  9. Delbaen, F., Schachermayer, W.: The fundamental theorem of asset pricing for unbounded stochastic processes. Math. Ann. 312, 215–250 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  10. Detemple, J., Osakwe, C.: The valuation of volatility options. Eur. Financ. Rev. 4, 21–50 (2000)

    Article  MATH  Google Scholar 

  11. Duffie, D., Kan, R.: A yield-factor model of interest rates. Math. Finance 6, 376–406 (1996)

    Article  Google Scholar 

  12. Farmer, J.D., Gillemot, L., Lillo, F., Mike, S., Sen, A.: What really causes large price changes? Quant. Finance 4, 383–397 (2004)

    Article  Google Scholar 

  13. Frey, R.: Perfect option hedging for a large trader. Finance Stoch. 2, 115–141 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  14. Heston, S.L.: A closed-form solution for options with stochastic volatility with applications to bonds and currency options. Rev. Financ. Stud. 6, 327–343 (1993)

    Article  Google Scholar 

  15. Hull, J., White, A.: The pricing of options on assets with stochastic volatilities. J. Finance 42, 281–300 (1987)

    Article  Google Scholar 

  16. Jarrow, R.: Derivative security markets, market manipulation, and option pricing theory. J. Financ. Quant. Anal. 29, 241–261 (1994)

    Article  Google Scholar 

  17. Kobylanski, M.: Backward stochastic differential equations and partial differential equations with quadratic growth. Ann. Probab. 28, 558–602 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  18. Ly Vath, V., Mnif, M., Pham, H.: A model of optimal portfolio selection under liquidity risk and price impact. Finance Stoch. 11, 51–90 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  19. Pardoux, E., Peng, S.G.: Adapted solution of a backward stochastic differential equation. Syst. Control Lett. 14, 55–61 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  20. Protter, P.: Stochastic Integration and Differential Equations, 2nd edn. Springer, Berlin (2005)

    Google Scholar 

  21. Rogers, L.C.G., Singh, S.: The cost of illiquidity and its effects on hedging. Math. Finance 20, 597–615 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  22. Weber, P., Rosenow, B.: Order book approach to price impact. Quant. Finance 5, 357–364 (2005)

    Article  MATH  Google Scholar 

  23. Weber, P., Rosenow, B.: Large stock price changes: volume or liquidity. Quant. Finance 6, 7–14 (2006)

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Alexandre F. Roch.

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This work was supported in part by the Fonds québécois de la recherche sur la nature et les technologies and NSF Grant DMS-0306194. Financial support from Crédit Suisse through the ETH Foundation is also gratefully acknowledged.

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Roch, A.F. Liquidity risk, price impacts and the replication problem. Finance Stoch 15, 399–419 (2011). https://doi.org/10.1007/s00780-011-0156-x

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  • DOI: https://doi.org/10.1007/s00780-011-0156-x

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