Results 161 to 170 of about 11,641,731 (252)

Mixing It Up: Inflation at Risk

open access: yesJournal of Money, Credit and Banking, EarlyView.
Abstract Understanding how risk factors shape the economic outlook is essential for guiding policy decisions. This paper develops a flexible framework that decomposes distributional risk forecasts of macro‐economic variables into underlying contributions and supports the construction of interpretable risk measures.
MAXIMILIAN SCHRÖDER
wiley   +1 more source

Erythrocyte ‘Feierzeit’ reaction: Novel filamentous and vesicular response to n‐butyl acetate

open access: yesJournal of Microscopy, EarlyView.
Abstract Human erythrocytes (red blood cells; RBCs) undergo spontaneous disassembly after several hours of exposure to n‐butyl acetate (nBA). Images of the morphological changes were captured in time‐lapse sequences using differential interference contrast (DIC) light microscopy.
Philip W. Kuchel
wiley   +1 more source

A joint model of cost and churn for the insurance industry

open access: yesJournal of Risk and Insurance, EarlyView.
Abstract In insurance markets, claim costs are highly variable, heavy‐tailed, and difficult to predict. At the same time, policyholder retention and lapse behavior (customer churn) are critical determinants of long‐term profitability and solvency. Most existing models in the literature treat claim costs and lapses as independent, overlooking potential ...
Yumo Dong   +4 more
wiley   +1 more source

Ranking Biochar-Fluorinated Contaminant Interactions Using Dynamic Signatures. [PDF]

open access: yesACS Omega
Librici C   +7 more
europepmc   +1 more source

Robust CDF‐Filtering of a Location Parameter

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania   +2 more
wiley   +1 more source

Empirical‐Process Limit Theory and Filter Approximation Bounds for Score‐Driven Time Series Models

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT This article examines the filtering and approximation‐theoretic properties of score‐driven time series models. Under specific Lipschitz‐type and tail conditions, new results are derived, leading to maximal and deviation inequalities for the filtering approximation error using empirical process theory.
Enzo D'Innocenzo
wiley   +1 more source

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