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  • Search: subject:"In-sample Prediction"
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Year of publication
Subject
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in-sample prediction 6 out-of-sample prediction 5 Forecasting model 4 Prognoseverfahren 4 deferred taxes 4 loss persistence 4 tax loss carryforwards 4 Forecast 3 Prognose 3 Theorie 3 Theory 3 Cash Flow 2 Cash flow 2 Gewinn 2 Loss 2 Profit 2 Steuervergünstigung 2 Tax incentive 2 Verlust 2 perfomance forecast 2 performance forecast 2 Artificial intelligence 1 Asset tail risk 1 Börsenkurs 1 Feedforward Neural Network 1 Generalization 1 In-sample Prediction 1 In-sample prediction 1 Insolvency 1 Insolvenz 1 Künstliche Intelligenz 1 Neural networks 1 Neuronale Netze 1 Out-of-Sample Prediction 1 Portfolio selection 1 Portfolio-Management 1 Risiko 1 Risikomanagement 1 Risikomaß 1 Risk 1
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Online availability
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Free 4 Undetermined 3
Type of publication
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Article 4 Book / Working Paper 4
Type of publication (narrower categories)
All
Working Paper 4 Arbeitspapier 2 Article in journal 2 Aufsatz in Zeitschrift 2 Graue Literatur 2 Non-commercial literature 2
Language
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English 6 Undetermined 2
Author
All
Dreher, Sandra 4 Eichfelder, Sebastian 4 Noth, Felix 4 Becker, Ying L. 1 Bouslah, Kais 1 Cabello González, José Manuel 1 Guo, Lin 1 Matos, Paulo Rogerio Faustino 1 Narasimhan, V. 1 Nurmamatov, Odilbek 1 Ouenniche, Jamal 1 Panda, Chakradhara 1 Rocha, José Alan Teixeira da 1 Ruiz, Francisco 1
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Published in...
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Advances in Pacific Basin business, economics, and finance 1 Brazilian Business Review 1 Disskussionsbeitrag / Arqus, Arbeitskreis Quantitative Steuerlehre 1 IWH Discussion Papers 1 IWH-Diskussionspapiere 1 Journal of the Operational Research Society 1 South Asia Economic Journal 1 arqus Discussion Paper 1
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Source
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ECONIS (ZBW) 4 EconStor 2 RePEc 2
Showing 1 - 8 of 8
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Predicting earnings and cash flows: the information content of losses and tax loss carryforwards
Dreher, Sandra; Eichfelder, Sebastian; Noth, Felix - 2017
We analyse the relevance of losses, accounting information on tax loss carryforwards, and deferred taxes for the prediction of earnings and cash flows up to four years ahead. We use a unique hand-collected panel of German listed firms encompassing detailed information on tax loss carryforwards...
Persistent link: https://www.econbiz.de/10011779809
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Cover Image
Predicting earnings and cash flows : the information content of losses and tax loss carryforwards
Dreher, Sandra; Eichfelder, Sebastian; Noth, Felix - 2017
We analyze the relevande of losses, accounting information on tax loss carryforwards, and deferred taxes for the prediction of earnings and cash flows up to four years ahead. We use a unique hand-collected panel of German listed firms encompassing detailed information on tax loss carryforwards...
Persistent link: https://www.econbiz.de/10011772106
Saved in:
Cover Image
Predicting earnings and cash flows: The information content of losses and tax loss carryforwards
Dreher, Sandra; Eichfelder, Sebastian; Noth, Felix - 2017
We analyze the relevande of losses, accounting information on tax loss carryforwards, and deferred taxes for the prediction of earnings and cash flows up to four years ahead. We use a unique hand-collected panel of German listed firms encompassing detailed information on tax loss carryforwards...
Persistent link: https://www.econbiz.de/10011779440
Saved in:
Cover Image
Predicting earnings and cash flows: The information content of losses and tax loss carryforwards
Dreher, Sandra; Eichfelder, Sebastian; Noth, Felix - 2017
We analyse the relevance of losses, accounting information on tax loss carryforwards, and deferred taxes for the prediction of earnings and cash flows up to four years ahead. We use a unique hand-collected panel of German listed firms encompassing detailed information on tax loss carryforwards...
Persistent link: https://www.econbiz.de/10011780478
Saved in:
Cover Image
Assessing asset tail risk with artificial intelligence : the application of artificial neural network
Becker, Ying L.; Guo, Lin; Nurmamatov, Odilbek - In: Advances in Pacific Basin business, economics, and finance 8 (2020), pp. 23-52
Persistent link: https://www.econbiz.de/10012601378
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A new classifier based on the reference point method with application in bankruptcy prediction
Ouenniche, Jamal; Bouslah, Kais; Cabello González, … - In: Journal of the Operational Research Society 69 (2018) 10, pp. 1653-1660
Persistent link: https://www.econbiz.de/10012229184
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Stocks and Mutual Funds: Common Risk Factors?
Matos, Paulo Rogerio Faustino; Rocha, José Alan Teixeira da - In: Brazilian Business Review 6 (2009) 1, pp. 21-41
In this article we analyze the capacity to price and predict the returns of stock mutual funds in the Brazilian market, using the capital asset pricing model (CAPM) and the factor models developed by Fama and French (1993) and Carhart (1997). The first results show an expected outcome: better...
Persistent link: https://www.econbiz.de/10010631410
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Predicting Stock Returns
Panda, Chakradhara; Narasimhan, V. - In: South Asia Economic Journal 7 (2006) 2, pp. 205-218
In this article, we use the artificial neural network in the forecasting of daily Bombay Stock Exchange (BSE) Sensitive Index (Sensex) returns. We compare the performance of the neural network with performances of random walk and linear autoregressive models by using six performance measures....
Persistent link: https://www.econbiz.de/10010784376
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