Results 111 to 120 of about 90,342 (256)
Asymmetric sanctions and corruption: Theory and practice in China
Economic Inquiry, EarlyView.Abstract Asymmetric punishment of partners in crime, intended to incentivize whistle‐blowing, may increase detection and deterrence. The idea is age‐old but its use against corruption is not frequent. We study a 1997 Chinese reform that strengthened such asymmetries for some forms of bribery.
Maria Perrotta Berlin +3 more
wiley +1 more source
Integer ambiguity validation through machine learning for precise point positioning
Satellite NavigationThe discrimination test of ambiguity resolution, also known as ambiguity validation, is a vital procedure to quantify the reliability of Global Navigation Satellite System (GNSS) ambiguity-fixed solutions. Several well-known tests, including the R-ratio,
Jiang Guo, Jianghui Geng
doaj +1 more source
A novel stop-and-go kinematic positioning method for PPP–RTK
Geo-spatial Information ScienceThe technology of precise point positioning – real time kinematic (PPP – RTK) can realize regional accurate positioning. However, poor quality atmospheric corrections can greatly impact the integer ambiguity resolution.
Siyao Wang, Rui Tu, Ju Hong, Xiaochun Lu
doaj +1 more source
Reference dependence and lottery participation
Economic Inquiry, EarlyView.Abstract We assume that lottery participants are poor relative to their target income. Reference dependence with loss aversion can render the marginal utility of income non‐monotonic in line with the Friedman–Savage hypothesis. As a result, lottery participation can be rationalized without invoking probability weighting.
Robertas Zubrickas
wiley +1 more source
Lie polynomials in an algebra defined by a linearly twisted commutation relation
, 2018 We present an elementary approach in characterizing Lie polynomials in the generators $A,B$ of an algebra with a defining relation that is in the form of a deformed or twisted commutation relation $AB=\sigma(BA)$ where the deformation or twisting map ...
Cantuba, Rafael Reno S.
core
Do Banks Learn From Natural Disasters? Evidence From the U.S. Financial Sector
European Financial Management, EarlyView.ABSTRACT This paper examines whether U.S. banks learn from natural disasters. We explore several potential channels of adjustment and find that exposed banks primarily respond by adopting precautionary capital measures. This behaviour is evident both in the long run, when assessing divergent trends in the evolution of equity over time, and in the short
Dennis Dreusch +2 more
wiley +1 more source
From Regression to Reasoning: Predicting M&A Announcement Returns With Large Language Models
European Financial Management, EarlyView.ABSTRACT This study investigates whether large language models (LLMs) can predict short‐term market reactions to M&A announcements. We prompt OpenAI's latest reasoning models (o3, GPT‐5, and GPT‐5.1) to forecast whether the combined market value of acquirer and target will increase or decrease, drawing on deal‐, firm‐, and macroeconomic data for large ...
Maximilian Schreiter +2 more
wiley +1 more source
Scale‐robust fibre orientation analysis of hair using two‐dimensional Fourier transform
International Journal of Cosmetic Science, EarlyView.We present a simple and robust method to quantify hair fibre orientation using 2D‐DFT. It works with standard images and extracts directional features at multiple scales. This enables objective evaluation of cosmetic treatments and product effects. Abstract Objective To address the current lack of standardized tools for evaluating hair appearance in ...
Motoki Takeda, Sinyoung Lee, Ken Kiyono
wiley +1 more source
International Transactions in Operational Research, EarlyView.Abstract Despite increasing demands for resilient and sustainable supply chains, inventory management often relies on outdated single‐criterion analyses. While multi‐criteria ABC (MCABC) analyses provide a theoretically mature assessment of resilience‐sustainability‐benefit trade‐offs in inventory, their adoption remains limited due to fragmented ...
Lukas Grützner, Michael H. Breitner
wiley +1 more source
An iterated greedy‐based metaheuristic with local search for the rank pricing problem
International Transactions in Operational Research, EarlyView.Abstract The rank pricing problem involves determining optimal prices for a set of products while accounting for customers' budgets and preferences. This study develops an iterated greedy‐based metaheuristic to efficiently solve this problem. The core idea is to generate a sequence of solutions by iteratively applying destruction and reconstruction ...
Herminia I. Calvete +3 more
wiley +1 more source