6533b85efe1ef96bd12c0cb8
RESEARCH PRODUCT
High frequency data entry: statistical findings at high frequency
Fabrizio LilloSalvatore Micciche'subject
financial markets high-frequency data data analysis tick-by-tick data order bookdata market microstructure econophysicsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)description
We introduce some of the most common types of high-frequency financial data: tick-by-tick data, trade andquote data, order bookdata, andmarket member data. We describe the types of variables that are usually available in the most popular high-frequency financial databases. We discuss the issues related to the handling of these data, including cleaning protocols, timing issues, and issues related to data size. We then briefly consider the issues related to the stylized facts detected in the empirical analysis of high- frequency data. Specifically, we consider (i) the irregular temporal spacing of the events at high frequency and its relevance for the econometric modeling of financial variables, (ii) the discreteness of the financial variables under investigation, (iii) the problems related to proper definition of financial variables, (iv) their daily periodicity, that is, typical intraday patterns, (v) their temporal correlations, for example, the bid–ask bounce and long memory properties, and (vi) problems related to the specificity of the market structure and rules.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2010-01-01 |