Abstract: |
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. |