The Markov Switching Multi-fractal Model of Asset Returns

The Markov Switching Multi-fractal Model of Asset Returns PDF Author: Hwa Taek Lee
Publisher:
ISBN:
Category :
Languages : en
Pages : 175

Book Description


The Markov Switching Multi-fractal Model of Asset Returns

The Markov Switching Multi-fractal Model of Asset Returns PDF Author: Hwa Taek Lee
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Multifractality and Long-range Dependence of Asset Returns

Multifractality and Long-range Dependence of Asset Returns PDF Author: Ruipeng Liu
Publisher:
ISBN:
Category :
Languages : en
Pages : 13

Book Description


Multifractal Volatility

Multifractal Volatility PDF Author: Laurent E. Calvet
Publisher: Academic Press
ISBN: 0080559964
Category : Business & Economics
Languages : en
Pages : 273

Book Description
Calvet and Fisher present a powerful, new technique for volatility forecasting that draws on insights from the use of multifractals in the natural sciences and mathematics and provides a unified treatment of the use of multifractal techniques in finance. A large existing literature (e.g., Engle, 1982; Rossi, 1995) models volatility as an average of past shocks, possibly with a noise component. This approach often has difficulty capturing sharp discontinuities and large changes in financial volatility. Their research has shown the advantages of modelling volatility as subject to abrupt regime changes of heterogeneous durations. Using the intuition that some economic phenomena are long-lasting while others are more transient, they permit regimes to have varying degrees of persistence. By drawing on insights from the use of multifractals in the natural sciences and mathematics, they show how to construct high-dimensional regime-switching models that are easy to estimate, and substantially outperform some of the best traditional forecasting models such as GARCH. The goal of Multifractal Volatility is to popularize the approach by presenting these exciting new developments to a wider audience. They emphasize both theoretical and empirical applications, beginning with a style that is easily accessible and intuitive in early chapters, and extending to the most rigorous continuous-time and equilibrium pricing formulations in final chapters. Presents a powerful new technique for forecasting volatility Leads the reader intuitively from existing volatility techniques to the frontier of research in this field by top scholars at major universities The first comprehensive book on multifractal techniques in finance, a cutting-edge field of research

Long Term Vs. Short Term Comovements in Stock Markets

Long Term Vs. Short Term Comovements in Stock Markets PDF Author: Julien Idier
Publisher:
ISBN:
Category :
Languages : en
Pages : 39

Book Description


A Markov-switching multi-fractal inter-trade duration model, with application to U.S. equities

A Markov-switching multi-fractal inter-trade duration model, with application to U.S. equities PDF Author: Fei Chen
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 61

Book Description
We propose and illustrate a Markov-switching multi-fractal duration (MSMD) model for analysis of inter-trade durations in financial markets. We establish several of its key properties with emphasis on high persistence (indeed long memory). Empirical exploration suggests MSMD's superiority relative to leading competitors.

Regime-switching and the Estimation of Multifractal Processes

Regime-switching and the Estimation of Multifractal Processes PDF Author: Laurent E. Calvet
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 60

Book Description
We propose a discrete-time stochastic volatility model in which regime switching serves three purposes. First, changes in regimes capture low frequency variations, which is their traditional role. Second, they specify intermediate frequency dynamics that are usually assigned to smooth autoregressive processes. Finally, high frequency switches generate substantial outliers. Thus, a single mechanism captures three important features of the data that are typically addressed as distinct phenomena in the literature. Maximum likelihood estimation is developed and shown to perform well in finite sample. We estimate on exchange rate data a version of the process with four parameters and more than a thousand states. The estimated model compares favorably to earlier specifications both in- and out-of-sample. Multifractal forecasts slightly improve on GARCH(1,1) at daily and weekly intervals, and provide considerable gains in accuracy at horizons of 10 to 50 days.

The Multi-fractal Model of Asset Returns

The Multi-fractal Model of Asset Returns PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Fractal Geometry and Dynamical Systems in Pure and Applied Mathematics II

Fractal Geometry and Dynamical Systems in Pure and Applied Mathematics II PDF Author: David Carfi
Publisher: American Mathematical Soc.
ISBN: 0821891480
Category : Mathematics
Languages : en
Pages : 384

Book Description
This volume contains the proceedings from three conferences: the PISRS 2011 International Conference on Analysis, Fractal Geometry, Dynamical Systems and Economics, held November 8-12, 2011 in Messina, Italy; the AMS Special Session on Fractal Geometry in Pure and Applied Mathematics, in memory of BenoƮt Mandelbrot, held January 4-7, 2012, in Boston, MA; and the AMS Special Session on Geometry and Analysis on Fractal Spaces, held March 3-4, 2012, in Honolulu, HI. Articles in this volume cover fractal geometry and various aspects of dynamical systems in applied mathematics and the applications to other sciences. Also included are articles discussing a variety of connections between these subjects and various areas of physics, engineering, computer science, technology, economics and finance, as well as of mathematics (including probability theory in relation with statistical physics and heat kernel estimates, geometric measure theory, partial differential equations in relation with condensed matter physics, global analysis on non-smooth spaces, the theory of billiards, harmonic analysis and spectral geometry). The companion volume (Contemporary Mathematics, Volume 600) focuses on the more mathematical aspects of fractal geometry and dynamical systems.

The Oxford Handbook of Computational Economics and Finance

The Oxford Handbook of Computational Economics and Finance PDF Author: Shu-Heng Chen
Publisher: Oxford University Press
ISBN: 0199844380
Category : Business & Economics
Languages : en
Pages : 785

Book Description
The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and action. It is both historically and interdisciplinarily rich and also tightly connected to the rise of digital society. It begins with the conventional view of computational economics, including recent algorithmic development in computing rational expectations, volatility, and general equilibrium. It then moves from traditional computing in economics and finance to recent developments in natural computing, including applications of nature-inspired intelligence, genetic programming, swarm intelligence, and fuzzy logic. Also examined are recent developments of network and agent-based computing in economics. How these approaches are applied is examined in chapters on such subjects as trading robots and automated markets. The last part deals with the epistemology of simulation in its trinity form with the integration of simulation, computation, and dynamics. Distinctive is the focus on natural computationalism and the examination of the implications of intelligent machines for the future of computational economics and finance. Not merely individual robots, but whole integrated systems are extending their "immigration" to the world of Homo sapiens, or symbiogenesis.