LEADER 03250nam 2200613 a 450 001 9910300380303321 005 20200520144314.0 010 $a3-319-00723-8 024 7 $a10.1007/978-3-319-00723-6 035 $a(CKB)2670000000423454 035 $a(SSID)ssj0000988081 035 $a(PQKBManifestationID)11546495 035 $a(PQKBTitleCode)TC0000988081 035 $a(PQKBWorkID)10950570 035 $a(PQKB)10922932 035 $a(MiAaPQ)EBC1398588 035 $a(DE-He213)978-3-319-00723-6 035 $a(PPN)172422779 035 $a(EXLCZ)992670000000423454 100 $a20130913d2014 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aComplexity in financial markets $emodeling psychological behavior in agent-based models and order book models /$fMatthieu Cristelli 205 $a1st ed. 2014. 210 $aCham $cSpringer$d2014 215 $axix, 216 p. $cill. (some col.) 225 1 $aSpringer theses : recognizing outstanding Ph.D. research,$x2190-5053 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-03273-9 311 $a3-319-00722-X 320 $aIncludes bibliographical references. 327 $apt. I. Agent-based modeling -- pt. II. Financial market dynamics : order book and data analysis -- pt. III. A metrics for the economic complexity. 330 $aTools and methods from complex systems science can have a considerable impact on the way in which the quantitative assessment of economic and financial issues is approached, as discussed in this thesis. First  it is shown that the self-organization of financial markets is a crucial factor in the understanding of their dynamics. In fact, using an agent-based approach, it is argued that financial markets? stylized facts appear only in the self-organized state. Secondly, the thesis points out the potential of so-called big data science for financial market modeling, investigating how web-driven data can yield a picture of market activities:  it has been found that web query volumes anticipate trade volumes. As a third achievement, the metrics developed here for country competitiveness and product complexity is groundbreaking in comparison to mainstream theories of economic growth and technological development. A key element in assessing the intangible variables determining the success of countries in the present globalized economy is represented by the diversification of the productive basket of countries. The comparison between the level of complexity of a country's productive system  and economic indicators such as the GDP per capita discloses its hidden growth potential. 410 0$aSpringer theses. 606 $aFinance 606 $aBusiness mathematics 606 $aMarkets 606 $aStatistical physics 615 0$aFinance. 615 0$aBusiness mathematics. 615 0$aMarkets. 615 0$aStatistical physics. 676 $a621 700 $aCristelli$b Matthieu$0791333 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300380303321 996 $aComplexity in Financial Markets$91768711 997 $aUNINA