Results 131 to 140 of about 109,032 (273)
Inconsistency of the Capital Asset Pricing Model in a Multi‐Currency Environment
ABSTRACT The capital asset pricing model (CAPM) is a widely adopted model in asset pricing theory and portfolio construction because of its intuitive nature. One of its main conclusions is that there exists a global market portfolio that each rational investor should hold in proportion to the risk‐free asset. In this paper, we demonstrate theoretically
Khalifa Al‐Thani +4 more
wiley +1 more source
Land Use Policy and Racial Segregation
ABSTRACT Land use policies, though seemingly race‐neutral, can inadvertently contribute to racial segregation. Our study focuses on examining the impact of minimum lot size regulations on the likelihood of ethnic minorities integrating into a community, which reveals compelling evidence suggesting that black households exhibit a preference for smaller ...
Ling Huang
wiley +1 more source
Estimating Treatment Effects With Limited Exogeneity: A Machine Learning Approach to Selection Bias
ABSTRACT This paper presents a novel method for estimating treatment effects in cases where prior knowledge of the exogeneity of the treatment variable is limited. We employ a machine learning technique, double selection via Lasso, to identify a robust set of control variables without requiring prior assumptions about their specific identities or ...
Rui Sun, Shiyi Chen
wiley +1 more source
A Consistent Heteroskedasticity‐Robust LM‐Type Specification Test for Semiparametric Models
ABSTRACT This article develops a heteroskedasticity‐robust Lagrange Multiplier‐type specification test for semiparametric regression models. The test is able to detect a wide class of deviations from the null hypothesis. The test statistic is based on the estimates from the restricted semiparametric model, can be computed in a regression‐based way, and
Ivan Korolev
wiley +1 more source
From Reactive to Proactive Volatility Modeling With Hemisphere Neural Networks
ABSTRACT We revisit maximum likelihood estimation (MLE) for macroeconomic density forecasting through a novel neural network architecture with dedicated mean and variance hemispheres. Our architecture features several key ingredients making MLE work in this context.
Philippe Goulet Coulombe +2 more
wiley +1 more source
Count Data Models With Heterogeneous Peer Effects Under Rational Expectations
ABSTRACT This paper develops a peer effect model for count responses under rational expectations. The model accounts for heterogeneity in peer effects across groups based on observed characteristics. Identification is based on the linear model condition that requires the presence of friends of friends who are not direct friends.
Aristide Houndetoungan
wiley +1 more source
ABSTRACT Background Understanding the genetic links between acute pancreatitis (AP) and its infectious comorbidities is crucial for prognosis and therapy, yet remains underexplored. Methods We conducted a comprehensive post‐GWAS analysis using large‐scale summary statistics for AP and 16 infectious diseases. To pinpoint pleiotropic genes, we integrated
Bo Zou +6 more
wiley +1 more source
Loss‐of‐Function Variants in CPT1C: No Support for a Causal Role in Hereditary Spastic Paraplegia
Abstract Background Hereditary spastic paraplegias (HSPs) are neurodegenerative disorders characterized by lower‐limb spasticity. Pathogenic variants in CPT1C have been implicated in HSP. Objective The objective of this study was to assess whether CPT1C loss‐of‐function (LOF) variants are causally associated with HSP.
Rui Zhu +17 more
wiley +1 more source
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
On the Mean‐Field Limit of Consensus‐Based Methods
ABSTRACT Consensus‐based optimization (CBO) employs a swarm of particles evolving as a system of stochastic differential equations (SDEs). Recently, it has been adapted to yield a derivative free sampling method referred to as consensus‐based sampling (CBS). In this paper, we investigate the “mean‐field limit” of a class of consensus methods, including
Marvin Koß, Simon Weissmann, Jakob Zech
wiley +1 more source

