Corrigendum to "The impact of Russo-Ukrainian war, COVID-19, and oil prices on global food security" [Heliyon Volume 10, Issue 8, April 2024, Article e29279]. [PDF]
HeliyonAl-Rousan N, Al-Najjar H, Al-Najjar D.
europepmc +1 more source
Management of oil windfalls in Mexico : historical experience and policy options for the future [PDF]
The macroeconomic impact of commodity windfalls has provided fertile ground for research since the 1970s. Particularly affected are developing countries that rely heavily on commodity exports.
Duval-Hernandez, Robert +1 more
core
When Are Statistical Forecast Gains Economically Relevant? Evidence From Bitcoin Returns
Journal of Forecasting, EarlyView.ABSTRACT We study how statistical forecast gains for Bitcoin translate into trading profits. Using real‐time out‐of‐sample forecasts from daily bivariate VARs from October 2021 to February 2024, we show that Bitcoin returns are forecastable and that seven predictive indices yield significant gains in directional accuracy (DA).
Rehan Arain, Stephen Snudden
wiley +1 more source
Environmental sustainability and nutritional quality: addressing global food and nutrition insecurity in a post-pandemic world. [PDF]
Front NutrCao Y +6 more
europepmc +1 more source
Commodity Murabahah Contract in Microcredit Financing
International Journal of Academic Research in Business and Social Sciences, 2018 Raziah Md Tahir +2 more
openaire +1 more source
A poverty-focused evaluation of commodity tax options [PDF]
The difficulties faced by many developing countries in raising revenue from direct taxes have forced them to rely heavily on indirect taxes to finance development interventions.
Essama-Nssah, B.
core
Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices
Journal of Forecasting, EarlyView.ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer +3 more
wiley +1 more source
Looking towards the sweet, sweet future: a political economy analysis of sugar and nutrition policy in Indonesia. [PDF]
Public Health NutrJohnson E +5 more
europepmc +1 more source
Market power and subsidies in the Indonesian palm oil industry [PDF]
Cooking oil is known as an essential commodity in Indonesia. Having such an important role, the Indonesian government often interfered the cooking oil market to assure its price remain low.
Chalil, Diana
core +1 more source
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
Journal of Forecasting, EarlyView.ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source