Results 161 to 170 of about 15,849 (295)

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

Journal of Economic Surveys, EarlyView.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen, Tord Johan Espe, Kristoffer Grude, Morten Risstad, Rickard Sandberg   +4 more
wiley   +1 more source

Investigating the impact of investor attention on AI-based stocks: A comprehensive analysis using quantile regression, GARCH, and ARIMA models. [PDF]

PLoS One
Ravichandran S, Afjal M.
europepmc   +1 more source

Realized GARCH: Evidence in ICE Brent Crude Oil Futures Front Month Contracts

, 2012
Sindre Solibakke
openalex   +1 more source

Conditional Volatility, Volume Shocks, and GARCH Effects

, 2011
Siamak Javadi
openalex   +1 more source

The Monetary Policy–Commodities Nexus: A Survey

Journal of Economic Surveys, EarlyView.
ABSTRACT This survey synthesizes evidence on the bidirectional links between commodity markets and monetary policy. On the commodities‐to‐policy side, we review how shocks to energy, food, and metals pass through to inflation, inflation expectations, economic activity, and financial stability in state‐dependent ways that vary by shock type, exposure ...
Martin T. Bohl, Niklas Humann, Pierre L. Siklos   +2 more
wiley   +1 more source

Hybrid time series and machine learning models for forecasting cardiovascular mortality in India: an age specific analysis. [PDF]

BMC Public Health
Teja MD, Rayalu GM.
europepmc   +1 more source

Semi-Parametric Kurtosis in a Garch Process

, 2007
David D. Cho
openalex   +1 more source

Distributional and Tail‐Dependent Perspectives in Economic Relationships: A Review of Quantile Regression Application

Journal of Economic Surveys, EarlyView.
ABSTRACT There is an increased proportion of studies using quantile‐based regression methodology (QR) in economics. They offer a robust alternative to classical mean regressions, which can estimate non‐normal variables with distributional heterogeneity in the dependent variable.
Shajara Ul‐Durar, Konstantinos A. Dimitriadis, Noman Arshed, Marco De Sisto, Hamidreza Harati   +4 more
wiley   +1 more source

Early warning of regime switching in a financial time series: A heteroskedastic network model. [PDF]

PLoS One
Wang L, An S, Dong Z, Dong X, Li J.
europepmc   +1 more source

Markov-Switching Multivariate GARCH Model with Copula-Distributed Innovations

Markus J. Fülle, Helmut Herwartz, Shu Wang   +2 more
openalex   +1 more source