All books

Professional

Apps About Coach Log in Start reading

Quantitative Finance · Glossary

What is Spectral density, periodogram?

Also known as: spectral density · periodogram

Definition 17.6 Quantitative Methods · Chapter 17 — Linear Time Series

The spectral density of a weakly stationary process with summable autocovariances is f(ω)=12π∑hγ(h)e−ihωf(\omega) = \frac1{2\pi}\sum_h\gamma(h)e^{-ih\omega}, ω∈[−π,π]\omega \in [-\pi, \pi]: the decomposition of its variance by frequency, γ(0)=∫−ππf\gamma(0) = \int_{-\pi}^\pi f. The periodogram I(ωj)=12πn∣∑tXte−itωj∣2I(\omega_j) = \frac1{2\pi n}\bigl\lvert\sum_tX_te^{-it\omega_j}\bigr\rvert^2 at the Fourier frequencies ωj=2πj/n\omega_j = 2\pi j/n is its sample counterpart.

Read in context →