Technological forecasting at the Korean stock market: A dynamic competition analysis using Lotka–Volterra model Purpose of the Paper Lee Lee and & Oh (2005) sought to analyse the dynamic relationship (i.e. predator-prey) between KSE and KOSDAQ in the stock market of Korea with their aim being to find out if the two markets were competing for investor’s capital. According to Lee Lee and & Oh (2005) KSE and KOSDAQ are assumed to exhibit some predatorprey relationship (i.e. they are competing for limited resources within their niche) Using Time Series data from 1997 to 2001 the paper analyzes the competing roles between KSE and KOSDAQ. In addition they perform equilibrium and stability analysis of the estimated Lotka– Volterra equations. Suitability of Lotta-Volterra This bases the rationale for the adoption of the Lotka– Volterra equations on the basis that KSE and KOSDAQ are species that are competing for investor’s resources and as of some warblers of northeastern coniferous forests. Ecology 39(4) 599-619. Works Cited Marasco A. Picucci A. & Romano A. (2016). Market share dynamics using Lotka–Volterra models. Technological Forecasting and Social Change 105 49-62. Morris S. A. & Pratt D. (2003). Analysis of the Lotka–Volterra competition equations as a technological substitution model. Technological Forecasting and Social Change 70(2) 103-133. Pistorius C. W. & Utterback J. M. (1996). A LotkaVolterra model for multi-mode technological interaction: modeling competition symbiosis and predator prey modes: Management of Technology V Proceeding of the Fifth International Conference on Management of Tecnnology 27 February–1 March 1996 Miami Florida USA pp. 61– 70. Schoen R. (1988). Models of Interacting Populations. In Modeling Multigroup Populations (pp. 211240). Springer US. Wangersky P. J. (1978). Lotka-Volterra population models. Annual Review of Ecology and Systematics 9(1) 189218. Tilman D. (1977). Resource competition between plankton algae: an experimental and theoretical approach. Ecology 58(2) 338-348. [...]
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