Published July 2016 | Version v1
Journal article

Libor at crossroads: Stochastic switching detection using information theory quantifiers

  • 1. Department of Business, Universitat Rovira i Virgili, Av. Universitat 1, 43204 Reus (Spain)
  • 2. Universidad Provincial de Sudoeste, Alvarado 332, B8000CJH Bahía Blanca (Argentina)
  • 3. Instituto de Investigaciones Económicas y Sociales del Sur, Universidad Nacional del Sur (UNS), 12 de Octubre y San Juan, B8000CTX Bahía Blanca (Argentina)
  • 4. Complex Systems Group, Facultad de Ingeniería y Ciencias Aplicadas, Universidad de los Andes, Av. Mons. Álvaro del Portillo 12.455, Las Condes, Santiago (Chile)
  • 5. Instituto Tecnológico de Buenos Aires (ITBA), Av. Eduardo Madero 399, C1106ACD Ciudad Autónoma de Buenos Aires (Argentina)
  • 6. Instituto de Física, Universidade Federal de Alagoas (UFAL), BR 104 Norte km 97, 57072-970 Maceió, Alagoas (Brazil)

Description

Highlights: • 28 time series of Libor rates, classified in seven maturities and four currencies, during the last 14 years, were considered. • The analysis was performed using a novel technique in financial economics: the Complexity–Entropy Causality Plane. • Our analysis unveils an abnormal movement of Libor time series around the period of the 2007 financial crisis. • This alteration in the stochastic dynamics of Libor is contemporary of what press called "Libor scandal". - Abstract: This paper studies the 28 time series of Libor rates, classified in seven maturities and four currencies, during the last 14 years. The analysis was performed using a novel technique in financial economics: the Complexity–Entropy Causality Plane. This planar representation allows the discrimination of different stochastic and chaotic regimes. Using a temporal analysis based on moving windows, this paper unveils an abnormal movement of Libor time series around the period of the 2007 financial crisis. This alteration in the stochastic dynamics of Libor is contemporary of what press called "Libor scandal", i.e. the manipulation of interest rates carried out by several prime banks. We argue that our methodology is suitable as a market watch mechanism, as it makes visible the temporal redution in informational efficiency of the market.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2016.02.009

Additional details

Identifiers

DOI
10.1016/j.chaos.2016.02.009;
arXiv
arXiv:1603.02874v1;
PII
S0960-0779(16)30040-6;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
88
Journal Page Range
p. 172-182
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
48003954
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
CAUSALITY; CHAOS THEORY; ENTROPY; INFORMATION THEORY; INTEREST RATE; MARKET; STOCHASTIC PROCESSES
Descriptors DEC
MATHEMATICS; PHYSICAL PROPERTIES; THERMODYNAMIC PROPERTIES

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.