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008 | 150903s2007 gw | o |||| 0|eng d | ||
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_a9783540346258 _99783540346258 |
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024 | 7 |
_a10.1007/9783540346258 _2doi |
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035 | _avtls000348972 | ||
039 | 9 |
_a201509030440 _bVLOAD _c201405050342 _dVLOAD _y201402071151 _zstaff |
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_aMX-SnUAN _bspa _cMX-SnUAN _erda |
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050 | 4 | _aHB144 | |
100 | 1 |
_aTeyssière, Gilles. _eeditor. _9330316 |
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245 | 1 | 0 |
_aLong Memory in Economics / _cedited by Gilles Teyssière, Alan P. Kirman. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2007. |
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300 |
_axii, 389 páginas 116 ilustraciones _brecurso en línea. |
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336 |
_atexto _btxt _2rdacontent |
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337 |
_acomputadora _bc _2rdamedia |
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338 |
_arecurso en línea _bcr _2rdacarrier |
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347 |
_aarchivo de texto _bPDF _2rda |
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500 | _aSpringer eBooks | ||
505 | 0 | _aStatistical Methods -- Recent Advances in ARCH Modelling -- Intermittency, Long-Memory and Financial Returns -- The Spectrum of Euro-Dollar -- Hölderian Invariance Principles and Some Applications for Testing Epidemic Changes -- Adaptive Detection of Multiple Change-Points in Asset Price Volatility -- Bandwidth Choice, Optimal Rates and Adaptivity in Semiparametric Estimation of Long Memory -- Wavelet Analysis of Nonlinear Long-Range Dependent Processes. Applications to Financial Time Series -- Prediction, Orthogonal Polynomials and Toeplitz Matrices. A Fast and Reliable Approximation to the Durbin-Levinson Algorithm -- Economic Models -- A Nonlinear Structural Model for Volatility Clustering -- Volatility Clustering in Financial Markets: Empirical Facts and Agent-Based Models -- The Microeconomic Foundations of Instability in Financial Markets -- A Minimal Noise Trader Model with Realistic Time Series Properties -- Long Memory and Hysteresis. | |
520 | _aWhen applying the statistical theory of long range dependent (LRD) processes to economics, the strong complexity of macroeconomic and financial variables, compared to standard LRD processes, becomes apparent. In order to get a better understanding of the behaviour of some economic variables, the book assembles three different strands of long memory analysis: statistical literature on the properties of, and tests for, LRD processes; mathematical literature on the stochastic processes involved; models from economic theory providing plausible micro foundations for the occurence of long memory in economics. Each chapter of the book will give a comprehensive survey of the state of the art and the directions that future developments are likely to take. Taken as a whole the book provides an overview of LRD processes which is accessible to economists, econometricians and statisticians. | ||
590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
700 | 1 |
_aKirman, Alan P. _eeditor. _9330317 |
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710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
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776 | 0 | 8 |
_iEdición impresa: _z9783540226949 |
856 | 4 | 0 |
_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-540-34625-8 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
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_c295717 _d295717 |