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most citedSurface Electromagnetic Waves Thermally Excited: Radiative Heat Transfer, Coherence Properties and Casimir Forces Revisited in the Near Field

953 citations

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8 papers · 1 filter

q-fin.ST2014★ 1 cited

The limits of statistical significance of Hawkes processes fitted to financial data

Mehdi Lallouache, Damien Challet

Many fits of Hawkes processes to financial data look rather good but most of them are not statistically significant. This raises the question of what part of market dynamics this m…

q-fin.ST2013★ 5 cited

Statistical inference of co-movements of stocks during a financial crisis

Takero Ibuki, Shunsuke Higano, Sei Suzuki +2

In order to figure out and to forecast the emergence phenomena of social systems, we propose several probabilistic models for the analysis of financial markets, especially around a…

q-fin.ST2013★ 31 cited

The fine structure of volatility feedback II: overnight and intra-day effects

Pierre Blanc, Rémy Chicheportiche, Jean-Philippe Bouchaud

We decompose, within an ARCH framework, the daily volatility of stocks into overnight and intra-day contributions. We find, as perhaps expected, that the overnight and intra-day re…

q-fin.ST2013★ 5 cited

Predicting financial markets with Google Trends and not so random keywords

Damien Challet, Ahmed Bel Hadj Ayed

We check the claims that data from Google Trends contain enough data to predict future financial index returns. We first discuss the many subtle (and less subtle) biases that may a…

q-fin.ST2012★ 51 cited

The fine-structure of volatility feedback I: multi-scale self-reflexivity

Rémy Chicheportiche, Jean-Philippe Bouchaud

We attempt to unveil the fine structure of volatility feedback effects in the context of general quadratic autoregressive (QARCH) models, which assume that today's volatility can b…

q-fin.ST2012★ 14 cited

Study of statistical correlations in intraday and daily financial return time series

Gayatri Tilak, Tamas Szell, Remy Chicheportiche +1

The aim of this article is to briefly review and make new studies of correlations and co-movements of stocks, so as to understand the "seasonalities" and market evolution. Using th…