Long term memories of developed and emerging markets: using the scaling analysis to characterize their stage of development

2004/03/29 by T. Di Matteo, T. Aste, M. M. Dacorogna · 2 citations
Physics and Astronomy · Economics, Econometrics and Finance · #cond-mat.stat-mech #cond-mat.other #q-fin.ST

paper · pdf

published as Journal of Banking & Finance 29/4 (2005) 827-851 · 46 pages, 7 figures, accepted for publication in Journal of Banking & Finance

arxiv created 2004/03/29 · arxiv updated 2009/12/01

Abstract

The scaling properties encompass in a simple analysis many of the volatility characteristics of financial markets. That is why we use them to probe the different degree of markets development. We empirically study the scaling properties of daily Foreign Exchange rates, Stock Market indices and fixed income instruments by using the generalized Hurst approach. We show that the scaling exponents are associated with characteristics of the specific markets and can be used to differentiate markets in their stage of development. The robustness of the results is tested by both Monte-Carlo studies and a computation of the scaling in the frequency-domain.

Cited by

• The Impact of Trump-Era Tariffs on Financial Market Efficiency
• Impact of the COVID-19 pandemic on the financial market efficiency of price returns, absolute returns, and volatility increment: Evidence from stock and cryptocurrency markets