Finite state markov-chain approximations to univariate and vector autoregressions
G. Tauchen. Economics Letters20 (2):
177 - 181(1986)
The paper develops a procedure for finding a discrete-valued Markov chain whose sample paths approximate well those of a vector autoregression. The procedure has applications in those areas of economics, finance, and econometrics where approximate solutions to integral equations are required.