English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

We study the price dynamics of cryptocurrencies using adaptive complementaryensemble empirical mode decomposition (ACE-EMD) and Hilbert spectral analysis.This is a multiscale noise-assisted approach that decomposes any time seriesinto a number of intrinsic mode functions, along with the correspondinginstantaneous amplitudes and instantaneous frequencies. The decomposition isadaptive to the time-varying volatility of each cryptocurrency price evolution.Different combinations of modes allow us to reconstruct the time series usingcomponents of different timescales. We then apply Hilbert spectral analysis todefine and compute the instantaneous energy-frequency spectrum of eachcryptocurrency to illustrate the properties of various timescales embedded inthe original time series.

Adaptive Complementary Ensemble EMD and Energy-Frequency Spectra of Cryptocurrency Prices