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Quantitative Verfahren im Finanzmarktbereich

Schröder, Michael (ed.) - 1996 - 1. Aufl.

Persistent link: https://www.econbiz.de/10000592147

Benchmarking robustness of load forecasting models under data integrity attacks

Luo, Jian; Tao, Hong; Fang, Shu-Cherng - In: International journal of forecasting 34 (2018) 1, pp. 89-104

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Discussion of the paper "Forecasting performance of three automated modeling techniques during the economic crisis 2007 - 2009" by A. Kock and T. Teräsvirta

Dubois, Eric - In: International journal of forecasting 30 (2014) 3, pp. 632-634

Persistent link: https://www.econbiz.de/10010514784

Forecasting performances of three automated modelling techniques during the economic crisis : 2007 - 2009

Kock, Anders Bredahl; Teräsvirta, Timo - In: International journal of forecasting 30 (2014) 3, pp. 616-631

Persistent link: https://www.econbiz.de/10010514786

Künstliche neuronale Netze und ihre Beziehungen zur Statistik

Widmann, Gabriele - 2001

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Mixtures of t-distributions for finance and forecasting

Giacomini, Raffaella; Gottschling, Andreas; Häfke, … - 2007

Persistent link: https://www.econbiz.de/10003556381

Recurrent neural network based parameter estimation of Hawkes model on high-frequency financial data

Lee, Kyungsub - In: Finance research letters 55 (2023) 1, pp. 1-6

Persistent link: https://www.econbiz.de/10014473319

Mixtures of t-distributions for finance and forecasting

Giacomini, Raffaella; Gottschling, Andreas; Häfke, … - 2007

We explore convenient analytic properties of distributions constructed as mixtures of scaled and shifted t-distributions. A feature that makes this family particularly desirable for econometric applications is that it possesses closed-form expressions for its anti-derivatives (e.g., the...

Persistent link: https://www.econbiz.de/10009735358

Carsharing customer demand forecasting using causal, time series and neural network methods : a case study

Moein, Elnaz; Awasthi, Anjali - In: International journal of services and operations … 35 (2020) 1, pp. 36-57

Persistent link: https://www.econbiz.de/10012178607

Predicting stock return and volatility with machine learning and econometric models: a comparative case study of the Baltic stock market

Nõu, Anders; Lapitskaya, Darya; Eratalay, M. Hakan; … - 2021

Persistent link: https://www.econbiz.de/10012694117

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