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Risks, Volume 11, Issue 7

July 2023 - 25 articles

Cover Story: We analyze intraday price volatility using a multiscale approach with fractional Brownian motion and microstructure noise. Our model captures various volatility patterns suitable for intraday prices. We introduce estimation algorithms, including a new Hurst exponent estimator for a noisy fractional Brownian motion model. Applying our approach to real-world high-frequency data of U.S. stocks and ETFs, we estimate model parameters and reveal how volatility changes across different time scales. We find that the Hurst exponent and noise level exhibit an intraday pattern, with higher noise ratios observed near market close. View this paper
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Articles (25)

  • Article
  • Open Access
2 Citations
4,054 Views
30 Pages

Estimating the Acceptance Probabilities of Consumer Loan Offers in an Online Loan Comparison and Brokerage Platform

  • Renatas Špicas,
  • Airidas Neifaltas,
  • Rasa Kanapickienė,
  • Greta Keliuotytė-Staniulėnienė and
  • Deimantė Vasiliauskaitė

24 July 2023

It is widely recognised that the ability of e-commerce businesses to predict conversion probability, i.e., acceptance probability, is critically important in today’s business environment. While the issue of conversion prediction based on browsi...

  • Article
  • Open Access
17 Citations
7,951 Views
19 Pages

Earnings Management and Sustainability Reporting Disclosure: Some Insights from Indonesia

  • Sri Ningsih,
  • Khusnul Prasetyo,
  • Novi Puspitasari,
  • Suham Cahyono and
  • Khairul Anuar Kamarudin

24 July 2023

Earnings manipulation is often associated with deceiving public information that is displayed in sustainability reports. Therefore, the current study aims to explore the nexus between earnings management and sustainability reporting practices in the...

  • Article
  • Open Access
1 Citations
2,096 Views
15 Pages

21 July 2023

Descriptive statistics that are easy to generate and interpret are central to policy decision making. The GINI coefficient and the coefficient of variation are used widely when assessing inequality. In many areas of inequality, such as wealth and inc...

  • Article
  • Open Access
1 Citations
1,746 Views
21 Pages

21 July 2023

In the context of pension plans, the employer and the worker have distinct interests and face different risks. The worker seeks higher retirement benefits, while the employer aims to minimize the cost of fulfilling his obligations. To address these d...

  • Article
  • Open Access
1 Citations
3,012 Views
15 Pages

17 July 2023

This study aims to understand the impact of the additional remuneration of the Chief Executive Officer (CEO) over the mean remuneration of the board of directors on firms’ financial performance. The objective is to understand if the highest com...

  • Article
  • Open Access
14 Citations
3,664 Views
19 Pages

17 July 2023

This paper investigates the impact of financial inclusion on sustainable firm growth in Northern African countries (Egypt, Morocco, and Tunisia) during the period of 2007–2020. To this end, this study employs a dynamic panel threshold regressio...

  • Article
  • Open Access
3,997 Views
17 Pages

AutoReserve: A Web-Based Tool for Personal Auto Insurance Loss Reserving with Classical and Machine Learning Methods

  • Lu Xiong,
  • Vajira Manathunga,
  • Jiyao Luo,
  • Nicholas Dennison,
  • Ruicheng Zhang and
  • Zhenhai Xiang

14 July 2023

In this paper, we developed a Shiny-based application called AutoReserve. This application serves as a tool used for a variety of types of loss reserving. The primary target audience of the app is personal auto actuaries, who are professionals in the...

  • Article
  • Open Access
1,387 Views
18 Pages

13 July 2023

In univariate data, there exist standard procedures for identifying dominating features that produce the largest number of observations. However, in the multivariate setting, the situation is quite different. This paper aims to provide tools and meth...

  • Editorial
  • Open Access
2 Citations
2,481 Views
2 Pages

12 July 2023

“The Risk Landscape in the Digital Transformation of Finance and Insurance” is a Special Issue that explores the opportunities and challenges arising from the integration of emerging technologies in the finance and insurance sectors [...]

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Risks - ISSN 2227-9091