Essays about: "Financial memory"

Showing result 26 - 30 of 38 essays containing the words Financial memory.

  1. 26. LSTM Neural Network Models for Market Movement Prediction

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Edwin Li; [2018]
    Keywords : Stock Market Analysis; Financial Markets; LSTM; RNN; Artificial Neural Networks; Machine Learning; Forecasting; Prediction;

    Abstract : Interpreting time varying phenomena is a key challenge in the capital markets. Time series analysis using autoregressive methods has been carried out over the last couple of decades, often with reassuring results. READ MORE

  3. 27. Mobile Network trafficprediction : Based on machine learning

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Loise Abrahamssson Kwetczer; Jakob Stigenberg; [2018]
    Keywords : ;

    Abstract : The investing market can be a cold ruthless placefor the layman. In order to get the chance of making money inthis business one must place countless hours on research, withmany different parameters to handle in order to reach success.To reduce the risk, one must look to many different companiesoperating in multiple fields and industries. READ MORE

  4. 28. The Influence of Gender Stereotype Consistent and Inconsistent Attributes of Job Applicants on Recruiters’ Memory

    University essay from Linnéuniversitetet/Institutionen för psykologi (PSY)

    Author : Annika Herrmann; Meike Petermann; [2018]
    Keywords : descriptive gender stereotypes; memory; recognition; recruitment; application screening;

    Abstract : According to a growing body of research, gender stereotypes can have a profound effect on hiring decisions. However, it is unclear whether information confirming or contradicting gender stereotypes can bias recruiters’ memory and ultimately affect hiring decisions. READ MORE

  5. 29. On stock return prediction with LSTM networks

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Magnus Hansson; [2017]
    Keywords : artificial neural networks; recurrent networks; LSTM; EMH; Business and Economics;

    Abstract : Artificial neural networks are, again, on the rise. The decreasing costs of computing power and the availability of big data together with advancements of neural network theory have made this possible. READ MORE

  6. 30. Sequence-to-sequence learning of financial time series in algorithmic trading

    University essay from Högskolan i Borås/Akademin för bibliotek, information, pedagogik och IT

    Author : Philip Arvidsson; Tobias Ånhed; [2017]
    Keywords : deep learning; machine learning; quantitative finance; algorithmic trading; blackbox trading; lstm; rnn; time series forecasting; prediction; tensorflow; keras; forex; neural network; econometrics; finans; algoritmisk handel; tidsserier; prediktion; maskininlärning; forex; neurala nätverk; tensorflow; keras; kvantitativ finans; lstm; rnn; ekonometri;

    Abstract : Predicting the behavior of financial markets is largely an unsolved problem. The problem hasbeen approached with many different methods ranging from binary logic, statisticalcalculations and genetic algorithms. READ MORE