A random matrix approach to dynamic factors in macroeconomic data

被引:0
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作者
Snarska, M. [1 ,2 ]
机构
[1] Marian Smoluchowski Institute, Physics and Mark Kac Complex Systems Research Centre, Jagiellonian University, Reymonta 4, 30-059 Kraków, Poland
[2] Cracow University of Economics, Department of Econometrics and Operations Research, Rakowicka 27, 31-510 Kraków, Poland
关键词
Matrix algebra - Economics;
D O I
10.12693/aphyspola.121.b-110
中图分类号
学科分类号
摘要
We show how random matrix theory can be applied to develop new algorithms to extract dynamic factors from macroeconomic time series. In particular, we consider a limit where the number of random variables N and the number of consecutive time measurements T are large but the ratio N=T is fixed. In this regime the underlying random matrices are asymptotically equivalent to Free Random Variables (FRV).Application of these methods for macroeconomic indicators for Poland economy is also presented.
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