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Journal of Risk and Financial Management, Volume 13, Issue 4

April 2020 - 23 articles

Cover Story: This study first analyzes the national and global infection status of the coronavirus disease that emerged in 2019 (COVID-19). It then uses the trend comparison method to predict the key point of the COVID-19 virus by comparison with severe acute respiratory syndrome (SARS) graphs, followed by using several methods to predict infections, deaths, and GDP in China. Finally, it discusses and assesses the impact of these results. This study argues that even if the risks and impacts of the epidemic are significant, China’s economy will continue to maintain steady development. View this paper.
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Articles (23)

  • Article
  • Open Access
1,035 Citations
29,904 Views
23 Pages

In this study, we enhance the dynamic connectedness measures originally introduced by Diebold and Yılmaz (2012, 2014) with a time-varying parameter vector autoregressive model (TVP-VAR) which predicates upon a time-varying variance-covariance structu...

  • Article
  • Open Access
11 Citations
8,215 Views
21 Pages

Interest rates are representative indicators that reflect the degree of economic activity. The yield curve, which combines government bond interest rates by maturity, fluctuates to reflect various macroeconomic factors. Central bank monetary policy i...

  • Article
  • Open Access
10 Citations
4,174 Views
20 Pages

A considerable number of studies have examined the relationship between global prices and local prices in food-importing nations, but the linkages between international prices and the producer prices of large agricultural exporters have been largely...

  • Article
  • Open Access
36 Citations
15,597 Views
24 Pages

Crowdfunding (CF) has experienced impressive growth in recent years with the development of internet and information technologies that increased the participation of the “crowd” to fund entrepreneurial projects. Young entrepreneurs, espec...

  • Article
  • Open Access
42 Citations
6,631 Views
26 Pages

Crowdfunding allows the public to donate small amounts of money to entrepreneurs through online platforms. In contrast with traditional financial institutions, this new method facilitates the financing process through direct and easy online contact b...

  • Article
  • Open Access
9 Citations
4,898 Views
18 Pages

Construction of Macroeconomic Uncertainty Indices for Financial Market Analysis Using a Supervised Topic Model

  • Kyoto Yono,
  • Hiroki Sakaji,
  • Hiroyasu Matsushima,
  • Takashi Shimada and
  • Kiyoshi Izumi

The uncertainty in the financial market, whether the US—China trade war will slow down the global economy or not, Federal Reserve Board (FRB) policy to increase the interest rates, or other similar macroeconomic events can have a crucial impact...

  • Article
  • Open Access
9 Citations
4,601 Views
20 Pages

Impact Analysis of Financial Regulation on Multi-Asset Markets Using Artificial Market Simulations

  • Masanori Hirano,
  • Kiyoshi Izumi,
  • Takashi Shimada,
  • Hiroyasu Matsushima and
  • Hiroki Sakaji

In this study, we assessed the impact of capital adequacy ratio (CAR) regulation in the Basel regulatory framework. This regulation was established to make the banking network robust. However, a previous work argued that CAR regulation has a destabil...

  • Editorial
  • Open Access
6 Citations
6,412 Views
3 Pages

There is no doubt about the importance of diagnostic testing in an emergency; specifically, which range of tests is available, where and when they are dispensed, and who might be tested using laboratory-developed tests, or other diagnostic tests incl...

  • Article
  • Open Access
3 Citations
4,612 Views
16 Pages

The Need for Shari’ah-Compliant Awqāf Banks

  • Hanan Gabil,
  • Benaouda Bensaid,
  • Tahar Tayachi and
  • Faleel Jamaldeen

Bridging global economic inequalities calls for effective financial alternatives such as awqāf banks to better attend to the needs of the poor and underprivileged. This is expected to address the root causes of poverty and ensuing economic gaps, impr...

  • Article
  • Open Access
3 Citations
5,805 Views
12 Pages

We present a deep reinforcement learning framework for an automatic trading of contracts for difference (CfD) on indices at a high frequency. Our contribution proves that reinforcement learning agents with recurrent long short-term memory (LSTM) netw...

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J. Risk Financial Manag. - ISSN 1911-8074