Results 111 to 120 of about 4,055 (251)

Application, Challenges, and Prospects of Non‐Thermal Processing Technologies for Seaweed Protein Extraction—A Review

Food Chemistry International, EarlyView.
This review highlights non‐thermal extraction technologies for seaweed proteins, emphasizing their mechanisms, impacts on protein structure and functionality, and sustainability potential. Key limitations related to species dependence, extract complexity, and scale‐up are discussed to guide future industrial and biorefinery applications.
Rahat Mahmud, Md Fuad Al Hasan, Shuvojit Roy, Tanvir Ahmed   +3 more
wiley   +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 Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley   +1 more source

A Novel Text‐Based Framework for Forecasting Carbon Prices

Journal of Forecasting, EarlyView.
ABSTRACT This study proposes a text‐based framework for predicting EU carbon prices. Using weekly data from 2020 to 2024, we construct a multivariate dataset combining financial indicators, commodity prices, Google Trends measures, and news‐based sentiment extracted using FinBERT.
Christian Oliver Ewald, Yaoyu Li
wiley   +1 more source

Fading Attention and the Pricing of Default Risk in the German Market for Structured Products

Journal of Futures Markets, EarlyView.
ABSTRACT Structured retail products are unsecured bonds subject to the default risk of the issuer. We analyze the price‐setting policy of issuers with respect to this default risk. Using a long‐term data set of discount certificates in the German market, we apply a time series IVX‐approach to find that (i) quoted prices do depend on issuer default risk,
Rainer Baule, Falk Jensen
wiley   +1 more source

Patient Information and Surgery Decisions: A Discrete Choice Experiment

Health Economics, EarlyView.
ABSTRACT Surgical treatments are offered more widely than ever before, increasingly to older and high‐risk patients. However, it is unclear whether patients making surgical decisions are fully informed about the risks of surgery and the available non‐surgical treatments.
Francesca Cornaglia, Alessandro Iaria, Eugenio Felipe Merlano, John R. Prowle   +3 more
wiley   +1 more source

Brexit and Its Impact on EU Financial Markets

International Journal of Finance &Economics, EarlyView.
ABSTRACT We investigate the impact of Brexit on volatility spillovers across the EU countries. We introduce a Brexit intensity measure that assigns an intensity score reflective of the financial markets' reaction to the events that occurred as Brexit negotiations began to unfold.
Marwan Izzeldin, Gulnur Muradoglu, Vasileios Pappas, Sheeja Sivaprasad   +3 more
wiley   +1 more source

Modeling the Nexus Between Climate Risk, Energy Consumption, and Financial Market Performance in Emerging Countries

International Studies of Economics, EarlyView.
Abstract This paper examines the link between climate risk, energy consumption, and financial market performance in a sample of emerging countries over the period 2000–2024. The objective is to model the dynamic interactions between these three dimensions, in order to understand the extent to which energy dependence and exposure to climate risks ...
Abdelkader Mohamed Derbali
wiley   +1 more source

Identifying Peer Effects in Networks with Unobserved Effort and Isolated Students

Journal of Applied Econometrics, EarlyView.
ABSTRACT Peer influence on effort devoted to some activity is often studied when effort is unobserved, and the researcher instead observes an outcome that combines effort with other shocks. For instance, in education, achievement measures such as GPA reflect both effort and idiosyncratic GPA shocks.
Aristide Houndetoungan, Cristelle Kouame, Michael Vlassopoulos   +2 more
wiley   +1 more source

Adaptive-projection intrinsically transformed multivariate empirical mode decomposition in cooperative brain-computer interface applications. [PDF]

Philos Trans A Math Phys Eng Sci, 2016
Hemakom A, Goverdovsky V, Looney D, Mandic DP.   +3 more
europepmc   +1 more source