Results 41 to 50 of about 2,659 (132)
Measuring Thematic Funds Performance via an Approach Based on Observable and Latent Factors
ABSTRACT This paper investigates whether thematic equity funds deliver abnormal performance relative to conventional global equity funds. Using Fama‐French models augmented with latent factors, we estimate fund‐level alphas, and apply the false discovery rate methodology to an estimated three‐group mixture distribution, separating good, null and bad ...
Maria Debora Braga +2 more
wiley +1 more source
PEG400 regulates Falcipain 2 activity through an allosteric mechanism
Falcipain‐2 can potentially be leveraged as a drug target due to its critical role as a haemoglobinase during the intra‐erythrocytic stage of Plasmodium falciparum. Here, we investigate the regulation of the proteolytic and haemoglobinase activity of falcipain‐2 in the presence of polyethylene glycol.
Bikram Nath +2 more
wiley +1 more source
On the Existence of One‐Sided Representations for the Generalised Dynamic Factor Model
ABSTRACT We study the Generalised Dynamic Factor Model (GDFM) and show that the dynamic common component, that is, the common component of the GDFM, can be expressed using only current and past observations under mild assumptions. Specifically, we require (i) the dynamic common component to be purely non‐deterministic and (ii) the exclusion of ...
Philipp Gersing
wiley +1 more source
ABSTRACT The paper deals with the construction of a synthetic indicator of economic growth, obtained by projecting a quarterly measure of aggregate economic activity, namely gross domestic product (GDP), into the space spanned by a finite number of smooth principal components, representative of the medium‐to‐long‐run component of economic growth of a ...
Alessandro Giovannelli +2 more
wiley +1 more source
The Accuracy Smoothness Dilemma in Prediction: A Novel Multivariate M‐SSA Forecast Approach
ABSTRACT Forecasting presents a complex estimation challenge, as it involves balancing multiple, often conflicting, priorities and objectives. Conventional forecast optimization methods typically emphasize a single metric, such as minimizing the mean squared error (MSE), which may neglect other crucial aspects of predictive performance. To address this
Marc Wildi
wiley +1 more source
Optimal Portfolio Choice With Cross‐Impact Propagators
ABSTRACT We consider a class of optimal portfolio choice problems in continuous time where the agent's transactions create both transient cross‐impact driven by a matrix‐valued Volterra propagator, as well as temporary price impact. We formulate this problem as the maximization of a revenue‐risk functional, where the agent also exploits available ...
Eduardo Abi Jaber +2 more
wiley +1 more source
Economic Growth Vulnerability Across Euro Area Countries
ABSTRACT We analyse growth vulnerability in the four largest Euro Area (EA) economies, measured as a lower quantile of the growth distribution conditional on EA‐wide and country‐specific macroeconomic/financial factors. Growth densities are obtained under a normal activity scenario and under stressed conditions.
Claudio Lissona, Esther Ruiz
wiley +1 more source
Frequency‐dependent contraction rates for the Bayesian method to the inverse source problem
Abstract This paper addresses an inverse source problem for acoustic waves in a range of frequencies. Our study has two main goals. First, although the problem is severely ill‐posed with a logarithmic stability estimate, we demonstrate, through careful analysis of the forward map's singular values, that increasing the frequency range enhances stability,
Pu‐Zhao Kow, Jenn‐Nan Wang
wiley +1 more source
ABSTRACT Purpose This study revisits the tetrahedral encoding strategy originally proposed to accelerate Diffusion Tensor Magnetic Resonance Imaging (DT‐MRI) by reducing the requisite number of diffusion‐weighted measurements to four. We examine its practical limitations and explore how artificial intelligence (AI) can extend its utility. Specifically,
Joshua Mawuli Ametepe +4 more
wiley +1 more source
ABSTRACT In many fields of research, it is common to conduct experiments where several observations of the response variable are made on the same subject over non‐random conditions, generating longitudinal studies. A wide variety of techniques deal with this type of data when analysing population variations, many based on estimating functions.
João Victor B. de Freitas +2 more
wiley +1 more source

