Using Weighted Markov Chain to Measure the State of CPI
As an important indicator of economic situation, the state of CPI is essential to macroeconomic policy. Combined with Markov chain process and the characteristics of CPI series, we use weighted Markov chain to predict the state of CPI. By examining the sample, we find that CPI series meet the Markov property, and gain the weight of Markov chain by CPI-order autocorrelation coefficients and standardization. We predict the state of CPI by its transition probability matrix of various steps of the state on the CPI, and get some satisfactory results.
CPI state weighted markov chain
WANG Changqiu
School of Economics, Huazhong University of Science and Technology, P.R.China, 430074
国际会议
威海
英文
220-224
2010-07-24（万方平台首次上网日期，不代表论文的发表时间）