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Bayesian GARCH models for Nigeria Covid-19 data · Peerford

Article · Journal · 2021

Bayesian GARCH models for Nigeria Covid-19 data

Rotimi Kayode Ogundeji, Josephine Nneamaka Onyeka-Ubaka, R.A Akanji

Annals of Mathematics and Computer Science

Open access · Green

Citations: 2from other works
Field-weighted impact: 0.211.00 is the world average for its field and year
Among its field: 59th percentileby citations, against works of its field and year
Authors: 3from 1 institution

Authors

3 authors

Rotimi Kayode OgundejiFirst author
- University of Lagos (NG)
Josephine Nneamaka Onyeka-Ubaka
- University of Lagos (NG)
as printed: J N Onyeka-Ubaka
R.A AkanjiSenior author
- University of Lagos (NG)

Country

Nigeria

Fields

A work can sit in several, each with a score

Financial Risk and Volatility ModelingTopic

Energy Load and Power ForecastingTopic

Market Dynamics and VolatilityTopic