Results 31 to 40 of about 68 (68)

Consumption in Asset Returns

The Journal of Finance, EarlyView.
ABSTRACT Using information in returns, we identify the stochastic process of consumption. We find that aggregate consumption reacts over multiple quarters to innovations spanned by financial markets. This persistent component accounts for over a quarter of consumption variation. These shocks command a large and significant risk premium, driving a large
SVETLANA BRYZGALOVA, JIANTAO HUANG, CHRISTIAN JULLIARD   +2 more
wiley   +1 more source

Joining Decision‐Making, Moral Thinking, and Collective Action: Grand Challenges as a Phenomenology of Deliberation

Journal of Management Studies, EarlyView.
Abstract This conceptual article argues that the mutual relevance of grand challenges and organization and management studies is best approached phenomenologically. Rather than constituting objects to be theorized or denoting special empirical contexts, grand challenges structure researchers’ attention and shape their interpretations of the processes ...
Alfredo Grattarola, Jean‐Pascal Gond, Stefan Haefliger   +2 more
wiley   +1 more source

What Are The Drivers of Labor Productivity in Italy?

Oxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT This paper introduces a novel sign restriction identification within a structural Bayesian vector autoregression (VAR) to analyse how labour productivity responds to supply and demand shocks and to quantify the contribution of shocks to cyclical fluctuations.
Josué Diwambuena, Francesco Ravazzolo
wiley   +1 more source

Predicting COPD Readmission: An Intelligent Clinical Decision Support System

Diagnostics
Background: COPD is a chronic disease characterized by frequent exacerbations that require hospitalization, significantly increasing the care burden. In recent years, the use of artificial intelligence-based tools to improve the management of patients ...
Julia López-Canay, Manuel Casal-Guisande, Alberto Pinheira, Rafael Golpe, Alberto Comesaña-Campos, Alberto Fernández-García, Cristina Represas-Represas, Alberto Fernández-Villar   +7 more
doaj   +1 more source

Teacher Perspectives of Student Engagement in Data Practice Instruction: Two Classroom Conditions

School Science and Mathematics, EarlyView.
ABSTRACT This study examines high school science teachers' perceptions of student engagement in data practices across two instructional contexts: a scaffolded, student‐centered environment using the Science Practices Innovation Notebook (SPIN) and a business‐as‐usual (BAU) teacher‐led investigation.
Erin Peters‐Burton, Peter Jacob Rich, Timothy Cleary, Hong H. Tran, Britt H. Miller   +4 more
wiley   +1 more source

Building centaur responders: is emergency management ready for artificial intelligence?

Disasters, Volume 50, Issue 3, July 2026.
Abstract This article examines the preparedness of emergency management (EM) for addressing questions pertaining to artificial intelligence (AI), encompassing its benefits to EM missions, the potential biases, the societal impacts, and more. We pinpoint two key shortcomings in early EM research on AI: (i) insufficient discussion of both AI's history ...
Christopher Whyte, Brittany ‘Brie’ Haupt   +1 more
wiley   +1 more source

Markov Determinantal Point Process for Dynamic Random Sets

Journal of Time Series Analysis, Volume 47, Issue 4, Page 784-802, July 2026.
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley   +1 more source

Endogenous Distress Contagion in a Dynamic Interbank Model: How Possible Future Losses May Spell Doom Today

Mathematical Finance, Volume 36, Issue 3, Page 595-619, July 2026.
ABSTRACT We introduce a dynamic and stochastic interbank model with an endogenous notion of distress contagion, arising from rational worries about future defaults and ensuing losses. This entails a mark‐to‐market valuation adjustment for interbank claims, leading to a forward‐backward approach to the equilibrium dynamics whereby future default ...
Zachary Feinstein, Andreas Søjmark
wiley   +1 more source

Machine Learning for Raman Spectroscopy Glioblastoma Classification

Journal of Chemometrics, Volume 40, Issue 6, June 2026.
ABSTRACT This study presents a comprehensive evaluation of various computational models for glioblastoma cell classification using Raman spectroscopy data. We compare traditional machine learning methods such as support vector machines, boosting and random forests with more modern methods including convolutional neural networks, vision transformers and
Brendan McCane, Irsyaad Rijwan, Sara J. Fraser‐Miller, Silke Neumann, Donata Maciaczyk, Jaroslaw Maciaczyk, Keith Gordon   +6 more
wiley   +1 more source

What Explains International Interest Rate Co‐Movement?

Journal of Applied Econometrics, Volume 41, Issue 4, Page 343-359, June/July 2026.
ABSTRACT The international co‐movement of interest rates reflects correlated business‐cycle fluctuations, largely driven by demand shocks. Monetary policy in advanced economies follows domestic mandates—inflation and the output gap—and does not respond to foreign policy shocks.
Annika Camehl, Gregor von Schweinitz
wiley   +1 more source