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Financial Data Analytics : Theory and Application
Köseoğlu, Sinem Derindere (ed.) - 2022
-- Basics of Financial Data Analytics -- Predictive Analytics Techniques: Theory and Applications in Finance -- Prescriptive … Analytics Techniques: Theory and Applications in Finance -- Forecasting Returns of Crypto Currency - Analyzing Robustness of … -- Natural Language Processing (NLP) for Exploring Culture in Finance: Theory and Applications -- PART 3. TECHNOLOGY DRIVEN …
Persistent link: https://www.econbiz.de/10013188202
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Econometrics with Machine Learning
Chan, Felix (ed.); Mátyás, László (ed.) - 2022
learning can enhance and expand the econometrics toolbox in theory and in practice. Throughout the volume, the authors raise …, students, policy-makers, and practitioners, who are using econometrics in theory or in practice. . …
Persistent link: https://www.econbiz.de/10013365082
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Die parametrische und semiparametrische Analyse von Finanzzeitreihen : neue Methoden, Modelle und Anwendungsmöglichkeiten
Peitz, Christian - 2016
Persistent link: https://www.econbiz.de/10011432076
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Macroeconomic Forecasting in the Era of Big Data : Theory and Practice
Fuleky, Peter (ed.) - 2020 - 1st ed. 2020
Introduction: Sources and Types of Big Data for Macroeconomic Forecasting -- Capturing Dynamic Relationships: Dynamic Factor Models -- Factor Augmented Vector Autoregressions, Panel VARs, and Global VARs -- Large Bayesian Vector Autoregressions -- Volatility Forecasting in a Data Rich...
Persistent link: https://www.econbiz.de/10012399055
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Macroeconomic forecasting in the era of big data : theory and practice
Fuleky, Peter (ed.) - 2020
This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture dynamic relationships among variables; how to select parsimonious models; how to deal with model uncertainty, instability, non-stationarity, and mixed frequency...
Persistent link: https://www.econbiz.de/10012113875
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Die parametrische und semiparametrische Analyse von Finanzzeitreihen : Neue Methoden, Modelle und Anwendungsmöglichkeiten
Peitz, Christian - 2016 - 1. Aufl. 2016
Semiparametrische Volatilitätsmodelle -- Hochfrequente und Ultra-Hochfrequente Finanzdaten -- Berechnung des Value-at-Risk auf Grundlage parametrischer und semiparametrischer Modelle -- Analyse von Handelswartezeiten -- Glättung der Volatilität von hochfrequenten Finanzdaten in einem...
Persistent link: https://www.econbiz.de/10014018518
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Vungle Inc. improves monetization using big data analytics
De Reyck, Bert; Fragkos, Ioannis; Grushka-Cockayne, Yael; … - In: Interfaces : the INFORMS journal on the practice of … 47 (2017) 5, pp. 454-466
Persistent link: https://www.econbiz.de/10011762987
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The Oxford handbook of economic forecasting
Clements, Michael P. (ed.); Hendry, David F. (ed.) - 2011
Greater data availability has been coupled with developments in statistical theory and economic theory to allow more …
Persistent link: https://www.econbiz.de/10012669772
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A novel approach for improving data locality of MapReduce applications in cloud environment through intelligent data placement
Shabeera, T. P.; Kumar, S. D. Madhu - In: International journal of services technology and … 26 (2020) 4, pp. 323-340
Persistent link: https://www.econbiz.de/10012503582
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Analytics, challenges and applications in big data environment : a survey
Bendre, Mininath R.; Thool, Vijaya R. - In: Journal of management analytics 3 (2016) 3, pp. 206-239
Persistent link: https://www.econbiz.de/10011688906