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Journal of Risk and Financial Management, Volume 16, Issue 6

June 2023 - 20 articles

Cover Story: This study examines the effectiveness of using a large dataset and advanced methodologies, including sentiment analysis and machine learning, to forecast foreign exchange rates (FX) and commodity prices. Using a large dataset, we explore whether combining sentiment analysis with machine learning outperforms in terms of FX. We employ techniques such as random forest, extreme gradient boosting, long short-term memory, and autoregressive integrated moving average (ARIMA) to compare their forecasting performance. The study proposes novel methodologies that integrate seasonal decomposition and wavelet transformation with ARIMA and machine learning techniques and applies them to gold futures prices and euro FX against the US dollar to demonstrate the superiority of the proposed approaches. View this paper
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Articles (20)

  • Article
  • Open Access
3 Citations
7,540 Views
13 Pages

This research studies the impact of shopping tourism on retail sales and rents, using the COVID-19 pandemic as a quasi-experiment. Shopping tourism refers to individuals who travel primarily for shopping purposes, and their spending patterns can have...

  • Article
  • Open Access
17 Citations
14,372 Views
16 Pages

Many earlier development finance studies have attempted to assess the relationship between financial inclusion and economic growth. However, the findings of these studies vary from economy to economy and region to region due to various social and eco...

  • Article
  • Open Access
2 Citations
3,886 Views
25 Pages

With the continuous advancement of machine learning and the increasing availability of internet-based information, there is a belief that these approaches and datasets enhance the accuracy of price prediction. However, this study aims to investigate...

  • Article
  • Open Access
23 Citations
6,895 Views
19 Pages

The aim of our paper is to construct a multidimensional financial inclusion (FI) index to measure the level of FI in 91 countries across different income groups. In order to address our research problem, we use the principal component analysis method...

  • Article
  • Open Access
13 Citations
5,934 Views
20 Pages

Electronic filing (e-filing) adoption for tax income purposes is limited in developing countries as the practices of financial accounting and reporting, as well as digitalization in accounting systems, are more prevalent in developed countries. This...

  • Article
  • Open Access
2 Citations
7,662 Views
25 Pages

How Do Financial Market Outcomes Affect Gambling?

  • Cyrus A. Ramezani and
  • James J. Ahern

A large literature in behavioral finance explores how gambling sentiments influences trading in stocks. This paper considers the reverse phenomena; the impact of financial market outcomes on aggregate gambling expenditures. We expect the wealth effec...

  • Article
  • Open Access
5 Citations
10,040 Views
17 Pages

As both investment attraction and mergers and acquisitions targeting information technology and platform companies are becoming more important in the digital-centric economic environment, interest in valuing corporate data assets is increasing. Accor...

  • Article
  • Open Access
4 Citations
3,846 Views
22 Pages

The primary purpose of the research is to investigate the effect of the quality of corporate governance in Islamic banking on the agility of Iraqi banks. For this purpose, the structural-equation-modeling (SEM) method was used to investigate the effe...

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J. Risk Financial Manag. - ISSN 1911-8074