activity
20152026
most citedThe inefficiency of Bitcoin revisited: a dynamic approach

616 citations · 1.5k across the 22 of their papers we have counts for

collaborators

26 papers

econ.EM2026

The Anatomy of Commodity Risk: Micro, Market, and Economy-Wide Sources

Nektarios Aslanidis, Aurelio Bariviera, George Kapetanios +2

We study the anatomy of commodity risk by distinguishing micro, market-level, and economy-wide sources. We develop a two-stage "divide-and-conquer" framework that allows sensitivit…

cs.CL2026

Automated Regulatory Compliance Question Answering in Financial Services with Domain-Adapted Retrieval-Augmented Generation

Tobias Deußer, Abhishek Pillai, Aurelio F. Bariviera +5

Financial institutions operate under dense, frequently amended rulebooks, and answering a compliance question correctly requires not only fluency but verifiable grounding in the au…

econ.EM2025

Heterogeneous Exposures to Systematic and Idiosyncratic Risk across Crypto Assets: A Divide-and-Conquer Approach

Nektarios Aslanidis, Aurelio Bariviera, George Kapetanios +1

This paper analyzes realized return behavior across a broad set of crypto assets by estimating heterogeneous exposures to idiosyncratic and systematic risk. A key challenge arises…

cs.CV2024

Texture Discrimination via Hilbert Curve Path Based Information Quantifiers

Aurelio F. Bariviera, Roberta Hansen, Verónica E. Pastor

The analysis of the spatial arrangement of colors and roughness/smoothness of figures is relevant due to its wide range of applications. This paper proposes a texture classificatio…

cs.CV2023★ 36 cited

Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks

Facundo Manuel Quiroga, Franco Ronchetti, Laura Lanzarini +1

Convolutional Neural Networks (CNN) offer state of the art performance in various computer vision tasks. Many of those tasks require different subtypes of affine invariances (scale…

q-fin.ST2023★ 1 cited

Time-frequency co-movements between commodities and economic policy uncertainty across different crises

M. Belén Arouxet, Aurelio F. Bariviera, Verónica Pastor +1

Commodity futures constitute an attractive asset class for portfolio managers. Propelled by their low correlation with other assets, commodities begin gaining popularity among inve…

q-fin.ST2021

The link between Bitcoin and Google Trends attention

Nektarios Aslanidis, Aurelio F. Bariviera, Óscar G. López

This paper shows that Bitcoin is not correlated to a general uncertainty index as measured by the Google Trends data of Castelnuovo and Tran (2017). Instead, Bitcoin is linked to a…

q-fin.ST2020

Are cryptocurrencies becoming more interconnected?

Nektarios Aslanidis, Aurelio F. Bariviera, Alejandro Perez-Laborda

This paper studies the dynamic market linkages among cryptocurrencies during August 2015 - July 2020 and finds a substantial increase in market linkages for both returns and volati…

q-fin.ST2020★ 1 cited

Covid-19 impact on cryptocurrencies: evidence from a wavelet-based Hurst exponent

M. Belén Arouxet, Aurelio F. Bariviera, Verónica E. Pastor +1

Cryptocurrency history begins in 2008 as a means of payment proposal. However, cryptocurrencies evolved into complex, high yield speculative assets. Contrary to traditional financi…

q-fin.GN2020

Where do we stand in cryptocurrencies economic research? A survey based on hybrid analysis

Aurelio F. Bariviera, Ignasi Merediz-Solà

This survey develops a dual analysis, consisting, first, in a bibliometric examination and, second, in a close literature review of all the scientific production around cryptocurre…

q-fin.ST2020★ 32 cited

One model is not enough: heterogeneity in cryptocurrencies' multifractal profiles

Aurelio F. Bariviera

This paper studies of the multifractal dynamics in 84 cryptocurrencies. It fills an important gap in the literature, by studying this market using two alternative multi-scaling met…

cs.LG2019★ 7 cited

User-Oriented Summaries Using a PSO Based Scoring Optimization Method

Augusto Villa-Monte, Laura Lanzarini, Aurelio F. Bariviera +1

Automatic text summarization tools have a great impact on many fields, such as medicine, law, and scientific research in general. As information overload increases, automatic summa…

cs.DL2019★ 201 cited

A bibliometric analysis of Bitcoin scientific production

Ignasi Merediz-Solà, Aurelio F. Bariviera

Blockchain technology, and more specifically Bitcoin (one of its foremost applications), have been receiving increasing attention in the scientific community. The first publication…

q-fin.ST2018

An analysis of cryptocurrencies conditional cross correlations

Nektarios Aslanidis, Aurelio F. Bariviera, Oscar Martinez-Ibañez

This letter explores the behavior of conditional correlations among main cryptocurrencies, stock and bond indices, and gold, using a generalized DCC class model. From a portfolio m…

q-fin.ST2018★ 84 cited

An analysis of high-frequency cryptocurrencies prices dynamics using permutation-information-theory quantifiers

Aurelio F. Bariviera, Luciano Zunino, Osvaldo A. Rosso

This paper discusses the dynamics of intraday prices of twelve cryptocurrencies during last months' boom and bust. The importance of this study lies on the extended coverage of the…

q-fin.CP2018★ 3 cited

Stock returns forecast: an examination by means of Artificial Neural Networks

Martin Iglesias Caride, Aurelio F. Bariviera, Laura Lanzarini

The validity of the Efficient Market Hypothesis has been under severe scrutiny since several decades. However, the evidence against it is not conclusive. Artificial Neural Networks…

q-fin.ST2018★ 4 cited

Spurious seasonality detection: a non-parametric test proposal

Aurelio F. Bariviera, Angelo Plastino, George Judge

This paper offers a general and comprehensive definition of the day-of-the-week effect. Using symbolic dynamics, we develop a unique test based on ordinal patterns in order to dete…

q-fin.ST2017★ 616 cited

The inefficiency of Bitcoin revisited: a dynamic approach

Aurelio F. Bariviera

This letter revisits the informational efficiency of the Bitcoin market. In particular we analyze the time-varying behavior of long memory of returns on Bitcoin and volatility 2011…

q-fin.ST2017★ 449 cited

Some stylized facts of the Bitcoin market

Aurelio F. Bariviera, María José Basgall, Waldo Hasperué +1

In recent years a new type of tradable assets appeared, generically known as cryptocurrencies. Among them, the most widespread is Bitcoin. Given its novelty, this paper investigate…

q-fin.RM2017★ 23 cited

Simplifying credit scoring rules using LVQ+PSO

Laura Cristina Lanzarini, Augusto Villa Monte, Aurelio F. Bariviera +1

One of the key elements in the banking industry rely on the appropriate selection of customers. In order to manage credit risk, banks dedicate special efforts in order to classify…

q-fin.ST2017★ 2 cited

Crude oil market and geopolitical events: an analysis based on information-theory-based quantifiers

Aurelio F. Bariviera, Luciano Zunino, Osvaldo A. Rosso

This paper analyzes the informational efficiency of oil market during the last three decades, and examines changes in informational efficiency with major geopolitical events, such…

q-fin.ST2015★ 16 cited

Efficiency and credit ratings: a permutation-information-theory analysis

Aurelio F. Bariviera, Luciano Zunino, M. Belen Guercio +2

The role of credit rating agencies has been under severe scrutiny after the subprime crisis. In this paper we explore the relationship between credit ratings and informational effi…

q-fin.ST2015★ 9 cited

A permutation Information Theory tour through different interest rate maturities: the Libor case

Aurelio F. Bariviera, M. Belen Guercio, Lisana B. Martinez +1

This paper analyzes Libor interest rates for seven different maturities and referred to operations in British Pounds, Euro, Swiss Francs and Japanese Yen, during the period years 2…

q-fin.ST2015★ 30 cited

The (in)visible hand in the Libor market: an Information Theory approach

Aurelio F. Bariviera, M. Belén Guercio, Lisana B. Martinez +1

This paper analyzes several interest rates time series from the United Kingdom during the period 1999 to 2014. The analysis is carried out using a pioneering statistical tool in th…