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Growth of science is a prevalent issue in science of science studies. In recent years, two new bibliographic databases have been introduced which can be used to study growth processes in science from centuries back: Dimensions from Digital…

Digital Libraries · Computer Science 2021-09-22 Lutz Bornmann , Robin Haunschild , Ruediger Mutz

Scientific publications form the cornerstone of innovation and have maintained a stable growth trend over the years. However, in recent years, there has been a significant surge in retractions, driven largely by the proliferation of…

Digital Libraries · Computer Science 2025-11-27 Zhengyi Zhou , Ying Lou , Zhesi Shen , Menghui Li

A macroeconomic model based on the economic variables (i) assets, (ii) leverage (defined as debt over asset) and (iii) trust (defined as the maximum sustainable leverage) is proposed to investigate the role of credit in the dynamics of…

Economics · Quantitative Finance 2016-08-24 Jeroen Rozendaal , Yannick Malevergne , Didier Sornette

Throughout the history from pre-industry 4.0 to post-industry 4.0, cybersecurity at banks has undergone significant changes. Pre-industry 4.0 cyber security at banks relied on individual security methods that were highly manual and had low…

Cryptography and Security · Computer Science 2025-03-04 Tue Nhi Tran

Macroeconomic variables are known to significantly impact equity markets, but their predictive power for price fluctuations has been underexplored due to challenges such as infrequency and variability in timing of announcements, changing…

General Finance · Quantitative Finance 2025-03-26 Martina Halousková , Štefan Lyócsa

Financial econometrics has become an increasingly popular research field. In this paper we review a few parametric and nonparametric models and methods used in this area. After introducing several widely used continuous-time and…

Statistical Finance · Quantitative Finance 2008-12-02 Zhibiao Zhao

No matter its source, financial- or policy-related, uncertainty can feed onto itself, inflicting the real economic sector, altering expectations and behaviours, and leading to identification challenges in empirical applications. The strong…

General Economics · Economics 2021-02-15 Emanuele Bacchiocchi , Catalin Dragomirescu-Gaina

Measuring performance & quantifying a performance change are core evaluation techniques in programming language and systems research. Of 122 recent scientific papers, as many as 65 included experimental evaluation that quantified a…

Methodology · Statistics 2020-07-22 Tomas Kalibera , Richard Jones

Recent advances in machine learning have shown promising results for financial prediction using large, over-parameterized models. This paper provides theoretical foundations and empirical validation for understanding when and how these…

Statistical Finance · Quantitative Finance 2025-07-08 Hasan Fallahgoul

The Fourth Industrial Revolution commonly refers to the accelerating technological transformation that has been taking place in the 21st century. Economic growth theories which treat the accumulation of knowledge and its effect on…

Theoretical Economics · Economics 2025-12-23 Georgios A. Tritsaris

This paper introduces new methods to study behaviours among the 52 largest cryptocurrencies between 01-01-2019 and 30-06-2021. First, we explore evolutionary correlation behaviours and apply a recently proposed turning point algorithm to…

Statistical Finance · Quantitative Finance 2022-11-15 Nick James , Max Menzies

This paper synthesizes recent advances in the econometrics of difference-in-differences (DiD) and provides concrete recommendations for practitioners. We begin by articulating a simple set of ``canonical'' assumptions under which the…

Econometrics · Economics 2023-01-11 Jonathan Roth , Pedro H. C. Sant'Anna , Alyssa Bilinski , John Poe

We provide a review of recent developments in the calculation of standard errors and test statistics for statistical inference. While much of the focus of the last two decades in economics has been on generating unbiased coefficients,…

Econometrics · Economics 2024-10-04 Jeffrey D. Michler , Anna Josephson

A B testing serves as the gold standard for large scale, data driven decision making in online businesses. To mitigate metric variability and enhance testing sensitivity, control variates and regression adjustment have emerged as prominent…

Methodology · Statistics 2025-10-13 Yu Zhang , Bokui Wan , Yongli Qin

Decentralization is a pervasive concept found across disciplines, including Economics, Political Science, and Computer Science, where it is used in distinct yet interrelated ways. Here, we develop and publicly release a general pipeline to…

Physics and Society · Physics 2023-10-09 Gabriele Di Bona , Alberto Bracci , Nicola Perra , Vito Latora , Andrea Baronchelli

The paper is related to the identification of firm's features which serve as determinants for firm's total factor productivity through unsupervised learning techniques (principal component analysis, self organizing maps, clustering). This…

General Economics · Economics 2025-11-26 Paolo Pedotti

Financial firms have gone through three major technological waves: computerization in the 1980s and 1990s, the rise of indexing and passive investing in the 2000s and 2010s, and the AI and automation wave from roughly 2015 to the present.…

Econometrics · Economics 2026-04-23 Lu Yu , Xiang Li

A major part of the balance sheets of the largest US banks consists of credit card portfolios. Hence, managing the charge-off rates is a vital task for the profitability of the credit card industry. Different macroeconomic conditions affect…

Machine Learning · Statistics 2020-06-16 Sajjad Taghiyeh , David C Lengacher , Robert B Handfield

There is a widespread perception that pharmaceutical R&D is facing a productivity crisis characterised by stagnation in the numbers of new drug approvals in the face of increasing R&D costs. This study explores pharmaceutical R&D dynamics…

We present a macro-finance model with innovation and knowledge spillover. Skilled agents engage in R&D activities (establish firms) or work in the knowledge-intensive sector. Unskilled agents work in the traditional sector. Knowledge…

Theoretical Economics · Economics 2025-08-19 Tomohiro Hirano , Keiichi Kishi , Alexis Akira Toda
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