output
20092026
most citedCorrelation of financial markets in times of crisis

290 citations

23 papers

cond-mat.mtrl-sci2026

One-dimensional self-organization of water molecules in proton conducting Andersson-Wadsley titanates

Mathilde Arnaud, Guillaume Benas, Narimane Meziani +13

Layered alkali titanates with M 2 Ti 2 O 5 chemical formula (MTO, M=K,Rb) belonging to the Andersson-Wadsley perovskite family spontaneously incorporate water to form MTO.(H 2 O) x…

econ.GN2025★ 6 cited

A Lifecycle Estimator of Intergenerational Income Mobility

Ursula Mello, Martin Nybom, Jan Stuhler

Lacking lifetime income data, most intergenerational mobility estimates are subject to lifecycle bias. Using long income series from Sweden and the US, we illustrate that standard…

cs.CY2025

Automated Formative Feedback for Short-form Writing: An LLM-Driven Approach and Adoption Analysis

Tiago Fernandes Tavares, Luciano Pereira Soares

This paper explores the development and adoption of AI-based formative feedback in the context of biweekly reports in an engineering Capstone program. Each student is required to w…

physics.optics2025

Plasmonic interferences sampled by a diffraction grating generate moir{é} fringes

Marin Tharrault, Guillaume Boulliard, Emmanuel Lhuillier +1

We report on the formation of moir{é} patterns when observing the diffraction of surface plasmons by periodic gratings of finite extent with an imaging spectrometer that maps the l…

cs.SD2024★ 2 cited

On Class Separability Pitfalls In Audio-Text Contrastive Zero-Shot Learning

Tiago Tavares, Fabio Ayres, Zhepei Wang +1

Recent advances in audio-text cross-modal contrastive learning have shown its potential towards zero-shot learning. One possibility for this is by projecting item embeddings from p…

cs.AI2023★ 63 cited

Exploring the psychology of LLMs' Moral and Legal Reasoning

Guilherme F. C. F. Almeida, José Luiz Nunes, Neele Engelmann +2

Large language models (LLMs) exhibit expert-level performance in tasks across a wide range of different domains. Ethical issues raised by LLMs and the need to align future versions…

stat.ME2023

Conformal prediction for frequency-severity modeling

Helton Graziadei, Paulo C. Marques F., Eduardo F. L. de Melo +1

We present a model-agnostic framework for the construction of prediction intervals of insurance claims, with finite sample statistical guarantees, extending the technique of split…

math.ST2023★ 5 cited

Universal distribution of the empirical coverage in split conformal prediction

Paulo C. Marques F

When split conformal prediction operates in batch mode with exchangeable data, we determine the exact distribution of the empirical coverage of prediction sets produced for a finit…

stat.ME2023★ 13 cited

When it counts -- Econometric identification of the basic factor model based on GLT structures

Sylvia Frühwirth-Schnatter, Darjus Hosszejni, Hedibert Freitas Lopes

Despite the popularity of factor models with sparse loading matrices, little attention has been given to formally address identifiability of these models beyond standard rotation-b…

stat.ML2021★ 15 cited

Confidence intervals for the random forest generalization error

Paulo C. Marques F

We show that the byproducts of the standard training process of a random forest yield not only the well known and almost computationally free out-of-bag point estimate of the model…

cond-mat.mtrl-sci2021

Structure of germanene/Al(111): a two-layers surface alloy

K. Zhang, D. Sciacca, M. -C. Hanf +12

Unlike silicene, for which the demonstration of its existence has been done through numerous independent studies, the possibility of growing epitaxial germanene remains highly cont…

q-fin.ST2021★ 1 cited

Trend-Following Strategies via Dynamic Momentum Learning

Bruno P. C. Levy, Hedibert F. Lopes

Time series momentum strategies are widely applied in the quantitative financial industry and its academic research has grown rapidly since the work of Moskowitz, Ooi and Pedersen…

q-fin.ST2021★ 1 cited

Dynamic Portfolio Allocation in High Dimensions using Sparse Risk Factors

Bruno P. C. Levy, Hedibert F. Lopes

We propose a fast and flexible method to scale multivariate return volatility predictions up to high-dimensions using a dynamic risk factor model. Our approach increases parsimony…

q-fin.ST2017★ 27 cited

Correlations and Flow of Information between The New York Times and Stock Markets

Andrés García-Medina, Leonidas Sandoval Junior, Efraín Urrutia Bañuelos +1

We use Random Matrix Theory (RMT) and information theory to analyze the correlations and flow of information between 64,939 news from The New York Times and 40 world financial indi…

stat.CO2016★ 95 cited

Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility Models

Gregor Kastner, Sylvia Frühwirth-Schnatter, Hedibert Freitas Lopes

We discuss efficient Bayesian estimation of dynamic covariance matrices in multivariate time series through a factor stochastic volatility model. In particular, we propose two inte…

q-fin.GN2013★ 140 cited

Structure and causality relations in a global network of financial companies

Leonidas Sandoval Junior

This work uses the stocks of the 197 largest companies in the world, in terms of market capitalization, in the financial area in the study of causal relationships between them usin…

q-fin.GN2012★ 30 cited

To lag or not to lag? How to compare indices of stock markets that operate at different times

Leonidas Sandoval Junior

Financial markets worldwide do not have the same working hours. As a consequence, the study of correlation or causality between financial market indices becomes dependent on wether…

q-fin.PM2012★ 11 cited

Building portfolios of stocks in the São Paulo Stock Exchange using Random Matrix Theory

Leonidas Sandoval Junior, Adriana Bruscato, Maria Kelly Venezuela

By using Random Matrix Theory, we build covariance matrices between stocks of the BM&F-Bovespa (Bolsa de Valores, Mercadorias e Futuros de São Paulo) which are cleaned of some of t…

q-fin.ST2011★ 3 cited

Cluster formation and evolution in networks of financial market indices

Leonidas Sandoval Junior

Using data from world stock exchange indices prior to and during periods of global financial crises, clusters and networks of indices are built for different thresholds and diverse…

q-fin.ST2011★ 38 cited

Pruning a Minimum Spanning Tree

Leonidas Sandoval Junior

This work employs some techniques in order to filter random noise from the information provided by minimum spanning trees obtained from the correlation matrices of international st…

q-fin.ST2011★ 19 cited

A Map of the Brazilian Stock Market

Leonidas Sandoval Junior

We use the correlation matrix of stocks returns in order to create maps of the São Paulo Stock Exchange (BM&F-Bovespa), Brazil's main stock exchange. The data reffer to the year 20…

q-fin.ST2011★ 290 cited

Correlation of financial markets in times of crisis

Leonidas Sandoval Junior, Italo De Paula Franca

Using the eigenvalues and eigenvectors of correlations matrices of some of the main financial market indices in the world, we show that high volatility of markets is directly linke…

math.PR2009★ 4 cited

Weak approximations for Wiener functionals

Dorival Leão, Alberto Ohashi

In this paper we introduce a simple space-filtration discretization scheme on Wiener space which allows us to study weak decompositions and smooth explicit approximations for a lar…