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Libor at crossroads: Stochastic switching detection using information theory quantifiers
Institution:1. Department of Business, Universitat Rovira i Virgili, Av. Universitat 1, 43204 Reus, Spain;2. Instituto de Investigaciones Económicas y Sociales del Sur, Universidad Nacional del Sur (UNS), 12 de Octubre y San Juan, B8000CTX Bahía Blanca, Argentina;3. Universidad Provincial de Sudoeste, Alvarado 332, B8000CJH Bahía Blanca, Argentina;4. Instituto de Física, Universidade Federal de Alagoas (UFAL), BR 104 Norte km 97, 57072-970 Maceió, Alagoas, Brazil;5. Instituto Tecnológico de Buenos Aires (ITBA), Av. Eduardo Madero 399, C1106ACD Ciudad Autónoma de Buenos Aires, Argentina;6. Complex Systems Group, Facultad de Ingeniería y Ciencias Aplicadas, Universidad de los Andes, Av. Mons. Álvaro del Portillo 12.455, Las Condes, Santiago, Chile;1. Centro Brasileiro de Pesquisas Fisicas, National Institute of Science and Technology for Complex Systems, Rua Xavier Sigaud 150, Rio de Janeiro 22290-180 RJ, Brazil;2. Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA
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.
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