Results 241 to 250 of about 22,447 (299)

A dual-stochastic real options model for sports tourism investment: A case study in China. [PDF]

PLoS One
Liu T, Cheng J, Huang Y.
europepmc   +1 more source

Forecasting Volatility of Commodity, Currency, and Stock Markets: Evidence From Markov‐Switching Multifractal Models

Journal of Forecasting, EarlyView.
ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu, Mawuli Segnon, Oguzhan Cepni, Rangan Gupta   +3 more
wiley   +1 more source

Dynamic forecasting and mechanisms of volatility synchronization in complex financial systems. [PDF]

PLoS One
Li JC, Guo J, Ma R, Zhong G.
europepmc   +1 more source

DSGE Model Forecasting: Rational Expectations Versus Adaptive Learning

Journal of Forecasting, EarlyView.
ABSTRACT This paper compares within‐sample and out‐of‐sample fit of a DSGE model with rational expectations to a model with adaptive learning. The Galí, Smets, and Wouters model is the chosen laboratory using quarterly real‐time euro area data vintages, covering 2001Q1–2019Q4.
Anders Warne
wiley   +1 more source

Nowcasting World Trade With Machine Learning: A Three‐Step Approach

Journal of Forecasting, EarlyView.
ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn, Baptiste Meunier, Sebastian Stumpner   +2 more
wiley   +1 more source

Enhancing the pricing efficiency of financial assets with an optimized bayesian network based on efficient fusion. [PDF]

PLoS One
Fu Q, Li X.
europepmc   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

A new method of off-site inverse carbon accounting and its application in agriculture carbon measurement. [PDF]

PLoS One
Shen H, Liu Y, Zou B, Li K.
europepmc   +1 more source

The Energy Dilemma: Does Energy Security Risk and Renewable Energy Affect Fossil Material Footprint? Policy Framework for Securing SDGs

Geological Journal, EarlyView.
Energy security risk has a positive impact on material footprint. Renewable energy consumption reduces material footprint. ABSTRACT Following a high economic growth path, the group of G7 economies is found to be utilising more and more material, causing a material footprint (MF), which in turn contributes to pollution.
Serhat Çamkaya, Faiza Saleem, Afshan Hamid, Magdalena Radulescu, Ahsan Anwar   +4 more
wiley   +1 more source

Bond market opening, monetary policy, and systemic financial risks - An empirical study based on the TVP-SV-VAR model. [PDF]

PLoS One
Ping WY, Hu YW, Luo LQ.
europepmc   +1 more source