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Journal of Risk and Financial Management, Volume 16, Issue 10

October 2023 - 45 articles

Cover Story: Ethereum is the second largest cryptocurrency in terms of market capitalization. It has a flourishing ecosystem and its blockchain allows for smart contracts. Transaction fees, which are referred to as “gas prices”, are of fundamental importance to this blockchain and its users. This research builds and estimates a bootstrapped quantile regression model to examine whether blockchain activity, such as the number of transactions and smart contracts, can explain changes in Ethereum gas prices. The empirical approach allows us to see relationships across the full distribution of gas price changes. This is essential given that Ethereum has undergone fundamental economic and technological regime changes, such as the recent implementation of the Ethereum Improvement Proposal (EIP) 1559. View this paper
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Articles (45)

  • Article
  • Open Access
2 Citations
1,817 Views
13 Pages

The landscape of employer-sponsored retirement plans in the U.S. has changed dramatically during the past few decades as more and more private-sector employers have decided to freeze or terminate traditional pension plans. Defined contribution (DC) p...

  • Communication
  • Open Access
11 Citations
6,306 Views
14 Pages

This article explores the extent to which network activity can explain changes in Ethereum transaction fees. Such fees are referred to as “gas prices” within the Ethereum blockchain, and are important inputs not only for executing transac...

  • Article
  • Open Access
2 Citations
2,101 Views
26 Pages

This paper investigates whether business cycles cause financial cycles or vice versa. We also assess whether the US plays a leading role in causing the domestic business and financial cycles of other countries. The literature has established that bus...

  • Article
  • Open Access
33 Citations
7,748 Views
19 Pages

This study examines how capital expenditure (capex) affects Environmental, Social, and Governance (ESG) reporting and how corporate governance moderates this effect. We use data from non-financial firms in the FTSE All Share index from 2012 to 2021 a...

  • Article
  • Open Access
9 Citations
5,017 Views
18 Pages

This paper investigates the dynamic relationship between cryptocurrency uncertainty indices and the movements in returns and volatility across spectrum of financial assets, comprising cryptocurrencies, precious metals, green bonds, and soft commoditi...

  • Article
  • Open Access
1 Citations
4,854 Views
17 Pages

This paper analyses the relationship between household debt and income inequality in South Africa for the period 1980–2021. We use two measures of inequality and estimate a vector error correction model (VECM) which includes household debt, ine...

  • Article
  • Open Access
1,949 Views
53 Pages

This article has examined the effect of the duration of membership in the World Trade Organization (WTO) on the submission of trademarks by countries’ residents. The analysis used an unbalanced sample of 124 countries (including developed and d...

  • Article
  • Open Access
2,125 Views
21 Pages

This study was conducted to assess the effects of security incidents on the stock prices of firms in Korea. A content analysis of news coverage articles about security incidents was performed. The research questions (RQs) of the current study were as...

  • Article
  • Open Access
3 Citations
2,966 Views
11 Pages

The COVID-19 pandemic has had a substantial and far-reaching impact on global economic growth, extending its effects to Indonesia as well. Various sectors have witnessed a decline in stock returns as a consequence. Interestingly, the telecommunicatio...

  • Article
  • Open Access
26 Citations
19,212 Views
23 Pages

Forecasting of NIFTY 50 Index Price by Using Backward Elimination with an LSTM Model

  • Syed Hasan Jafar,
  • Shakeb Akhtar,
  • Hani El-Chaarani,
  • Parvez Alam Khan and
  • Ruaa Binsaddig

Predicting trends in the stock market is becoming complex and uncertain. In response, various artificial intelligence solutions have emerged. A significant solution for predicting the trends of a stock’s volatile and chaotic nature is drawn fro...

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J. Risk Financial Manag. - ISSN 1911-8074