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Christos Bormpotsis, Mohamed Sedky and Asma Patel
In the realm of foreign exchange (Forex) market predictions, Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) have been commonly employed. However, these models often exhibit instability due to vulnerability to data perturbations...
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Saeede Anbaee Farimani, Majid Vafaei Jahan and Amin Milani Fard
News dissemination in social media causes fluctuations in financial markets. (Scope) Recent advanced methods in deep learning-based natural language processing have shown promising results in financial market analysis. However, understanding how to lever...
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Jules Clément Mba, Kofi Agyarko Ababio and Samuel Kwaku Agyei
This paper investigates the robustness of the conventional mean-variance (MV) optimization model by making two adjustments within the MV formulation. First, the portfolio selection based on a behavioral decision-making theory that encapsulates the MV sta...
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Zexin Hu, Yiqi Zhao and Matloob Khushi
Predictions of stock and foreign exchange (Forex) have always been a hot and profitable area of study. Deep learning applications have been proven to yield better accuracy and return in the field of financial prediction and forecasting. In this survey, w...
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Md. Saiful Islam, Emam Hossain, Abdur Rahman, Mohammad Shahadat Hossain and Karl Andersson
In recent years, the foreign exchange (FOREX) market has attracted quite a lot of scrutiny from researchers all over the world. Due to its vulnerable characteristics, different types of research have been conducted to accomplish the task of predicting fu...
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Stanislaw Drozdz, Ludovico Minati, Pawel Oswi?cimka, Marek Stanuszek and Marcin Wa¸torek
Based on the high-frequency recordings from Kraken, a cryptocurrency exchange and professional trading platform that aims to bring Bitcoin and other cryptocurrencies into the mainstream, the multiscale cross-correlations involving the Bitcoin (BTC), Ethe...
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Daniela Majercáková, Michal Gregu?
Pág. 80 - 88
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Marco Mele
Pág. 1 - 7
This paper will prove, through a financial and econometric model, a different estimation approach on the Chinese? basket peg. In particular, this study proposes a new system for calculating the numeraire in exchange rates of the major...
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Francesco Rundo
High-frequency trading is a method of intervention on the financial markets that uses sophisticated software tools, and sometimes also hardware, with which to implement high-frequency negotiations, guided by mathematical algorithms, that act on markets f...
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Shubhanker Yadav
Banks form an essential backbone of the economy. In this era of globalization foreign trade form a significant functional priority of the bank. India faces stiff competition in the global market and to continue in the race it needs to strengthen its ban...
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