| Revista: | Revista mexicana de física |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000453980 |
| ISSN: | 0035-001X |
| Autores: | Alfonso, L1 García Ramírez, D.E2 Mansilla, R3 Terrero Escalante, C.A4 |
| Instituciones: | 1Universidad Autónoma de la Ciudad de México, Ciudad de México. México 2Universidad de Guanajuato, Departamento de Astronomía, Guanajuato. México 3Universidad Nacional Autónoma de México, Centro de Investigaciones Interdisciplinarias en Ciencias y Humanidades, Ciudad de México. México 4Universidad de Colima, Facultad de Ciencias, Colima. México |
| Año: | 2020 |
| Periodo: | Sep-Oct |
| Volumen: | 66 |
| Número: | 5 |
| Paginación: | 700-709 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico, teórico |
| Resumen en inglés | In this paper, a statistical analysis of high-frequency fluctuations of the IPC, the Mexican Stock Market Index, is presented. A sample of tick- to-tick data covering the period from January 1999 to December 2002 was analyzed, as well as several other sets obtained using temporal aggregation. The results indicate that the highest frequency is not useful to understand the Mexican market because almost two-thirds of the information corresponds to inactivity. For the frequency where fluctuations start to be relevant, the IPC data does not follow any α-stable distribution, including the Gaussian, perhaps because of the presence of autocorrelations. For a long-range of lower-frequencies, but still, in the intra-day regime, fluctuations can be described as a truncated Lévy flight, while for frequencies above two-days, a Gaussian distribution yields the best fit. Thought these results are consistent with other previously reported for several markets, there are significant differences in the details of the corresponding descriptions |
| Disciplinas: | Física y astronomía |
| Palabras clave: | Termodinámica y física estadística, Mercados de valores, Distribución de fluctuaciones de alta frecuencia, Autocorrelaciones |
| Keyword: | Thermodynamics and statistical physics, Stock markets, High frequency fluctuations distribution, Autocorrelations |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
