LEADER 01520nam2-2200409li-450 001 990000211880203316 005 20180312154746.0 010 $a3-540-57818-8 035 $a0021188 035 $aUSA010021188 035 $a(ALEPH)000021188USA01 035 $a0021188 100 $a20001109d1994----km-y0itay0103----ba 101 0 $aeng 102 $aGW 200 1 $aAdvances in database technology$eEDBT'94$e4th International conference on extending database technology$eCambridge, United Kingdom, March 28-31, 1994$eproceedings$fMatthias Jarke (ed.) 210 $aBerlin [etc.]$cSpringer-Verlag$dcopyr. 1994 215 $aXI, 406 p.$cill.$d24 cm 225 2 $aLecture notes in computer science$v779 410 0$10010020264$12001$aLecture notes in computer science 610 1 $aarchivi di dati$acongressi$a1994 610 1 $acongressi$acambridge$a1994 676 $a00574$9Archivi di dati e basi di dati 702 1$aJarke,$bMatthias 710 12$aInternational conference on extending database technology$d4.$eCambridge$f1994$0753394 801 $aSistema bibliotecario di Ateneo dell' Università di Salerno$gRICA 912 $a990000211880203316 951 $a001 LNCS (779)$b0016320$c001$d00103086 959 $aBK 969 $aSCI 979 $c19951010 979 $c20001110$lUSA01$h1714 979 $aALANDI$b90$c20010130$lUSA01$h1144 979 $c20020403$lUSA01$h1629 979 $aPATRY$b90$c20040406$lUSA01$h1615 996 $aAdvances in database technology$91515533 997 $aUNISA LEADER 04928nam 2200565 450 001 9910809106303321 005 20230801231809.0 010 $a3-8382-6114-3 035 $a(CKB)2670000000547943 035 $a(EBL)3029491 035 $a(SSID)ssj0001468907 035 $a(PQKBManifestationID)11857375 035 $a(PQKBTitleCode)TC0001468907 035 $a(PQKBWorkID)11525449 035 $a(PQKB)10418123 035 $a(MiAaPQ)EBC2056684 035 $a(MiAaPQ)EBC5782049 035 $a(Au-PeEL)EBL5782049 035 $a(OCoLC)880723462 035 $a(EXLCZ)992670000000547943 100 $a20190619d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEssays on algorithmic trading /$fMarkus Gsell 210 1$aStuttgart :$cIbidem Verlag,$d2012. 215 $a1 online resource (226 p.) 300 $aDescription based upon print version of record. 311 $a3-8382-0114-0 320 $aIncludes bibliographical references at the end of each chapters. 327 $a""Table of Contents""; ""1 Introduction""; ""1.1 Motivation and objective of the thesis""; ""1.2 Structure of the thesis""; ""2 Research Context: Securities Trading""; ""2.1 Value chain""; ""2.2 The role of Algorithmic Trading""; ""2.2.1 Purposes and users""; ""2.2.2 Benchmarks and strategies""; ""2.2.3 Stages of development""; ""2.2.4 Implications for market operators""; ""3 Research Approach and Methodology""; ""3.1 Quantitative Survey""; ""3.2 Literature Review""; ""3.3 Simulation of Financial Markets""; ""3.4 Empirical Analysis""; ""4 Main Results"" 327 $a""4.1 Paper 1 : Investigating the adoption decision""""4.2 Paper 2 : Theoretically assessing structural behavioral differences""; ""4.3 Paper 3 : Assessing the impact on the market outcome by simulation""; ""4.4 Paper 4: Empirically assessing the impact on trading behavior""; ""5 Contribution to theory and practical implications""; ""5.1 Contribution to theory""; ""5.2 Practical implications""; ""6 Limitations and potential further research""; ""6.1 Limitations""; ""6.2 Future Research""; ""References"" 327 $a""Paper 1: Technological Innovations in Securities Trading: The Adoption of Algorithmic Trading """"1 Introduction""; ""2 Related work""; ""3 Methodology""; ""4 Research Model""; ""4.1 Usage""; ""4.2 Intention to use""; ""4.3 Performance Expectancy""; ""4.4 Effort Expectancy""; ""4.5 Task-Technology Fit""; ""4.6 Technology Expertise""; ""5 Results""; ""5.1 Quality criteria of the measurement model""; ""5.1.1 Reflective constructs""; ""5.1.2 Formative construct""; ""5.2 Quality criteria of the structural model""; ""6 Conclusion""; ""References"" 327 $a""Paper 2: Is Algorithmic Trading distinctively different?""""1 Introduction""; ""2 Stylized traders in the literature""; ""3 What are algorithmic trading models doing?""; ""4 Why algorithmic trading models are different""; ""4.1 Are algorithmic trading models informed traders?""; ""4.2 Are algorithmic trading models momentum traders?""; ""4.3 Are algorithmic trading models noise traders?""; ""4.4 What are algorithmic trading models after all?""; ""5 Conclusion""; ""References""; ""Paper 3: Assessing the impact of Algorithmic Trading on markets : A simulation approach "" 327 $a""1 Introduction""""2 Related work""; ""2.1 Algorithmic Trading""; ""2.2 Simulation of financial markets""; ""3 The simulation model""; ""3.1 Behavior of Traders""; ""3.2 Parameterizatio n""; ""4 Results obtained""; ""5 Conclusion and Outlook""; ""References""; ""Paper 4: The Behavior of Algorithmic Traders in Equity Markets - Empirical Evidence from Xetra ""; ""1 Introduction""; ""2 Related Work""; ""3 The Xetra Trading System""; ""3.1 Continuous Trading""; ""3.2 Call Auctions""; ""3.3 Trading Schedule""; ""3.4 Dataset and Methodology""; ""4 Results""; ""4.1 Continuous Trading"" 327 $a""4.2 Call Auctions"" 330 $aTechnological innovations are altering the traditional value chain in securities trading. Hitherto the order handling, i.e. the appropriate implementation of a general trading decision into particular orders, has been a core competence of brokers. Labeled as Algorithmic Trading, the automation of this task recently found its way both into the brokers' portfolio of service offerings as well as to their customers' trading desks. The software performing the order handling thereby constantly monitors the market(s) in real-time and further evaluates historical data to dynamically determine appropri 606 $aProgram trading (Securities) 615 0$aProgram trading (Securities) 676 $a332.60285 700 $aGsell$b Markus$01655201 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910809106303321 996 $aEssays on algorithmic trading$94007477 997 $aUNINA