Mudanças entre as edições de "Material Bibliográfico CADF (livros, artigos, apresentações e outras referências)"

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== Livros ==
 
== Livros ==
  
# Irene Aldridge. High-Frequency Trading: A Practical Guide to Algorithmic Strategies anTrading Systems (Wiley), 2009
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# Irene Aldridge. High-Frequency Trading: A Practical Guide to Algorithmic Strategies anTrading Systems (Wiley), 2009 - [http://www.hftradingbook.com/content/]
# Rishi K Narang . Inside the Black Box: The Simple Truth About Quantitative Trading, (Wiley) 2009
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# Rishi K Narang . Inside the Black Box: The Simple Truth About Quantitative Trading, (Wiley) 2009 - [http://www.thequantbook.com/]
# Ralph Vince. The Mathematics of Money Management: Risk Analysis Techniques for Traders, (Wiley), 1992
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# Ralph Vince. The Mathematics of Money Management: Risk Analysis Techniques for Traders, (Wiley), 1992 - [http://www.amazon.com/The-Mathematics-Money-Management-Techniques/dp/0471547387]
  
 
== Artigos ==
 
== Artigos ==
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# Brabazon A, O’Neill M, Dempsey I. An introduction to evolutionary computation in finance. IEEE Computational Intelligence Magazine 2008; 3(24):42–55. DOI:10.1109/MCI.2008.929841.
 
# Brabazon A, O’Neill M, Dempsey I. An introduction to evolutionary computation in finance. IEEE Computational Intelligence Magazine 2008; 3(24):42–55. DOI:10.1109/MCI.2008.929841.
 
# Freitas FD, De Souza AF, Almeida AR. Autoregressive neural network predictors in the Brazilian stock market. VII Simpósio Brasileiro de Automação Inteligente (SBAI)/II IEEE Latin American Robotics Symposium (IEEE-LARS), 2005
 
# Freitas FD, De Souza AF, Almeida AR. Autoregressive neural network predictors in the Brazilian stock market. VII Simpósio Brasileiro de Automação Inteligente (SBAI)/II IEEE Latin American Robotics Symposium (IEEE-LARS), 2005
# De SOUZA, A. F.; FREITAS, F. D.; ALMEIDA, A. G. C. Fast learning and predicting of stock returns with virtual generalized random access memory weightless neural networks. Concurrency and Computation: Practice and Experience, John Wiley & Sons2011. http://dx.doi.org/10.1002/cpe.1772
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# De SOUZA, A. F.; FREITAS, F. D.; ALMEIDA, A. G. C. Fast learning and predicting of stock returns with virtual generalized random access memory weightless neural networks. Concurrency and Computation: Practice and Experience, John Wiley & Sons2011. [http://dx.doi.org/10.1002/cpe.1772]
# Ferreira TA, Vasconcelos GC, Adeodato PJ. A new intelligent system methodology for time series forecasting with artificial neural networks. Neural Processing Letters 2008; 28(2):113–129. DOI: http://dx.doi.org/10.1007/s11063-008-9085-x.
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# Ferreira TA, Vasconcelos GC, Adeodato PJ. A new intelligent system methodology for time series forecasting with artificial neural networks. Neural Processing Letters 2008; 28(2):113–129. DOI: [http://dx.doi.org/10.1007/s11063-008-9085-x.]
# Freitas FD, De Souza AF, Almeida AR. Prediction-based portfolio optimization model using neural networks. Neurocomputing 2009; 72(10–12):2155–2170. DOI: http://dx.doi.org/10.1016/j.neucom.2008.08.019
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# Freitas FD, De Souza AF, Almeida AR. Prediction-based portfolio optimization model using neural networks. Neurocomputing 2009; 72(10–12):2155–2170. DOI: [http://dx.doi.org/10.1016/j.neucom.2008.08.019]
  
 
== Apresentações ==  
 
== Apresentações ==  

Edição das 18h05min de 9 de outubro de 2012

Livros

  1. Irene Aldridge. High-Frequency Trading: A Practical Guide to Algorithmic Strategies anTrading Systems (Wiley), 2009 - [1]
  2. Rishi K Narang . Inside the Black Box: The Simple Truth About Quantitative Trading, (Wiley) 2009 - [2]
  3. Ralph Vince. The Mathematics of Money Management: Risk Analysis Techniques for Traders, (Wiley), 1992 - [3]

Artigos

  1. E.P.K. Tsang & S.Martinez-Jaramillo, Computational Finance, IEEE Computational Intelligence Society Newsletter, August 2004, 3-8 [4]
  2. Brabazon A, O’Neill M, Dempsey I. An introduction to evolutionary computation in finance. IEEE Computational Intelligence Magazine 2008; 3(24):42–55. DOI:10.1109/MCI.2008.929841.
  3. Freitas FD, De Souza AF, Almeida AR. Autoregressive neural network predictors in the Brazilian stock market. VII Simpósio Brasileiro de Automação Inteligente (SBAI)/II IEEE Latin American Robotics Symposium (IEEE-LARS), 2005
  4. De SOUZA, A. F.; FREITAS, F. D.; ALMEIDA, A. G. C. Fast learning and predicting of stock returns with virtual generalized random access memory weightless neural networks. Concurrency and Computation: Practice and Experience, John Wiley & Sons2011. [5]
  5. Ferreira TA, Vasconcelos GC, Adeodato PJ. A new intelligent system methodology for time series forecasting with artificial neural networks. Neural Processing Letters 2008; 28(2):113–129. DOI: [6]
  6. Freitas FD, De Souza AF, Almeida AR. Prediction-based portfolio optimization model using neural networks. Neurocomputing 2009; 72(10–12):2155–2170. DOI: [7]

Apresentações

  1. Tópicos em Finanças Computacionais (26/09/2012 - LCAD)

Outras Referências

  1. Computational Intelligence (Wikipedia)
  2. Computational Finance and Economics Research Laboratory (Univ. of Essex)