Publisher: Redfame Publishing   (Total: 7 journals)   [Sort by number of followers]

Showing 1 - 7 of 7 Journals sorted alphabetically
Applied Economics and Finance     Open Access   (Followers: 16)
Applied Finance and Accounting     Open Access   (Followers: 9)
Business and Management Studies     Open Access   (Followers: 20)
Intl. J. of Social Science Studies     Open Access   (Followers: 15)
J. of Education and Training Studies     Open Access   (Followers: 4)
Studies in Engineering and Technology     Open Access  
Studies in Media and Communication     Open Access   (Followers: 16, SJR: 0.401, CiteScore: 1)
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Applied Economics and Finance
Number of Followers: 16  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2332-7294 - ISSN (Online) 2332-7308
Published by Redfame Publishing Homepage  [7 journals]
  • Prediction of Stock Market Index Using a Hybrid Technique of Artificial
           Neural Networks and Particle Swarm Optimization

    • Authors: Farnaz Ghashami, Kamyar Kamyar, S. Ali Riazi
      Pages: 1 - 8
      Abstract: In this paper we examine the ability of Artificial Neural Network methods (ANN) for predicting the stock market index. We first conduct an ANN analysis and then optimize the ANN model using Particle Swarm Optimization algorithm (PSO) to improve the prediction accuracy. In terms of data, we use NASDAQ index which is one of the most widely followed indices in the United States. Empirical results show that by determining the optimal set of biases and weights using PSO, we can augment the accuracy of the ANN model for this stock market data set.
      PubDate: 2021-04-19
      DOI: 10.11114/aef.v8i3.5195
      Issue No: Vol. 8, No. 3 (2021)
  • Asymmetric Effects of Real Exchange Rate on Trade Balance in Cote
           d’Ivoire: Evidence from Nonlinear ARDL Approach

    • Authors: Yaya KEHO
      Pages: 9 - 21
      Abstract: This paper analyses the effects of real exchange rate on the trade balance in Cote d’Ivoire using times series from 1975 to 2017. Although many studies have investigated this issue, most of them assume that this relationship is symmetric. This paper relaxes this assumption employing the nonlinear autoregressive distributed lag (ARDL) model by Shin, Yu and Greenwood-Nimmo (2014). The results show that trade balance responds stronger to negative shocks in real exchange rate than to positive ones in the long-run, while the short-run response of trade balance is symmetric. 
      PubDate: 2021-04-19
      DOI: 10.11114/aef.v8i3.5216
      Issue No: Vol. 8, No. 3 (2021)
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