Empirical Study on Stock Return of Shanghai through Arch with DQPSO Algorithm

摘要

Due to the disadvantages of traditional estimating methods of ARCH model,we estimate the parameters in ARCH model accurately with a new enhanced quantum-behaved particle swarm optimization algorithm with diversity.Then the ARCH model for stock return is established empirically with algorithm and forecast of the return is given.