Les ventes de produits innovants à la mode sont-elles chaotiques? Le cas des ventes de Game Boy au Japon.

Bonache, Adrien (2008): Les ventes de produits innovants à la mode sont-elles chaotiques? Le cas des ventes de Game Boy au Japon. Unpublished.

Abstract

This paper aims to test Granovetter and Soong's (1986) article conclusions. I test the hypothesis of cyclicity or chaoticity of the sales of new or/and fashion goods. This test is realised on the weekly Game Boy sales in Japan from 1989 to 2005.

• Item Type: MPRA Paper
• Language: French
• Keywords: chaos; BDS statistics; Lyapunov's exponent; sales forecasting; nearest-neighbor
• Subjects: L - Industrial Organization > L2 - Firm Objectives, Organization, and Behavior > L25 - Firm Performance: Size, Diversification and Scope, Age, Profit, and Sales

References

ARMSTRONG J. et BRODIE R. (1999), “Forecasting for Marketing”, dans Hooley G. et M. Hussey, Quantitative Methods in Marketing, International Thomson Business Press.

BOURBONNAIS R. et TERRAZA M. (2004), Analyse des séries temporelles: applications à l'économie et à la gestion , Dunod.

BROCK W. (1986), “ Distinguishing random and deterministic systems: Abridged version”, Journal of economic theory, vol.40, n°1.

BROCK W. , DECHERT W.D., SCHEINKMAN J. et LEBARON B.(1991), “A test for independence based on the correlation dimension”, Econometric Reviews,vol.15, n°3.

BROCK W, HSIEH D., LEBARON B. (1991), A Test of Nonlinear Dynamics, Chaos, and Instability: Theory and Evidence, MIT Press.

CASDAGLI M. (1989), “Nonlinear prediction of chaotic time series”, Physica D, vol.35, n°3.

CASTILLO O. et MELIN P. (2007), “Preface to the special issue on soft computing for time series prediction”, Applied Soft Computing Journal, Vol.7, n°4.

DAIRYMPLE D.(1987), “Sales forecasting practices: Results from a United States survey”, International Journal of Forecasting, vol.3, n°3.University Press, Cambridge.

GIRERD-POTIN I. et TARAMASCO O. (1994), “Les rentabilités à la bourse de Paris sontelles chaotiques?“, Revue économique, vol.45, n°2. GLEICK J.(1991), La théorie du chaos , Flammarion.

GRANOVETTER M. et SOONG R. (1986), “Threshold Models of Interpersonal Effects in Consumer Demand” , Journal of Economic Behavior and Organization, vol.7, n°1.

GRASSBERGER P. et PROCACCIA I.(1983), “Characterization of Strange Attractors”, Physical Review Letters, vol.50, n°5.

SCHEINKMAN J. et LEBARON B. (1989), “Nonlinear Dynamics and Stock Returns“, Journal of Business, vol. 62, n°3

SIDOROWICH et FARMER (1987), “Predicting chaotic time series”, Physical Review Letters, vol. 59, n°8.

THIETART R. et FORGUES B. (1997), “Action, Structure and Chaos“, Organization Studies, vol.18, n°9.

VIALAR T. (2005), Dynamiques non linéaires chaotiques en finance et économie, Economica.

WOLF A., SWIFT J.B., SWINNEY H.L. et VASTANO J.A. (1985), “Determining Lyapunov Exponents from a Time Series“ ,Chaotic Oscillators: Theory and Applications, vol.160.