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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
2,257 Views
31 Pages

12 July 2023

This study constructs an agent-based model suitable for analyzing the propagation of economic shocks based on a macroeconomic agent-based model structure that covers major economic entities. Instead of setting an upstream and downstream structure of...

  • Article
  • Open Access
2,597 Views
20 Pages

Dataset Analysis of the Risks for Russian IT Companies Amid the COVID-19 Crisis

  • Tatiana M. Vorozheykina,
  • Aleksei Yu. Shchetinin,
  • Galina N. Semenova and
  • Maria A. Vakhrushina

11 July 2023

The motivation for this research was to strive towards specifying the risks for businesses under the conditions of the COVID-19 pandemic and crisis in the IT sector in Russia. This paper is aimed at performing a dataset analysis of the risks for Russ...

  • Article
  • Open Access
1 Citations
1,765 Views
15 Pages

Cox-Based and Elliptical Telegraph Processes and Their Applications

  • Anatoliy Pogorui,
  • Anatoly Swishchuk,
  • Ramón M. Rodríguez-Dagnino and
  • Alexander Sarana

10 July 2023

This paper studies two new models for a telegraph process: Cox-based and elliptical telegraph processes. The paper deals with the stochastic motion of a particle on a straight line and on an ellipse with random positive velocity and two opposite dire...

  • Article
  • Open Access
3 Citations
2,486 Views
26 Pages

10 July 2023

Optimal reinsurance problems under the risk measures, such as Value-at-Risk (VaR) and Tail-Value-at-Risk (TVaR), have been studied in recent literature. However, losses based on VaR may be underestimated and TVaR allows us to account better for catas...

  • Article
  • Open Access
3 Citations
2,586 Views
14 Pages

10 July 2023

Evidence of the asymmetric wealth effect has important implications for investors and continues to merit research attention, not least because much of the evidence based on linear models has been refuted. Indeed, stock and house prices are influenced...

  • Communication
  • Open Access
7 Citations
5,130 Views
8 Pages

Credit Scoring for Peer-to-Peer Lending

  • Daniel Felix Ahelegbey and
  • Paolo Giudici

7 July 2023

This paper shows how to improve the measurement of credit scoring by means of factor clustering. The improved measurement applies, in particular, to small and medium enterprises (SMEs) involved in P2P lending. The approach explores the concept of fam...

  • Article
  • Open Access
6 Citations
7,750 Views
18 Pages

Cryptocurrency Trading and Downside Risk

  • Farhat Iqbal,
  • Mamoona Zahid and
  • Dimitrios Koutmos

6 July 2023

Since the debut of cryptocurrencies, particularly Bitcoin, in 2009, cryptocurrency trading has grown in popularity among investors. Relative to other conventional asset classes, cryptocurrencies exhibit high volatility and, consequently, downside ris...

  • Article
  • Open Access
7 Citations
2,977 Views
16 Pages

Predicting Stock Market Volatility Using MODWT with HyFIS and FS.HGD Models

  • Abdullah H. Alenezy,
  • Mohd Tahir Ismail,
  • Sadam Al Wadi and
  • Jamil J. Jaber

4 July 2023

We enhance the precision of predicting daily stock market price volatility using the maximum overlapping discrete wavelet transform (MODWT) spectral model and two learning approaches: the heuristic gradient descent (FS.HGD) and hybrid neural fuzzy in...

  • Article
  • Open Access
8 Citations
5,467 Views
18 Pages

The Silicon Valley Bank Failure: Application of Benford’s Law to Spot Abnormalities and Risks

  • Anurag Dutta,
  • Liton Chandra Voumik,
  • Lakshmanan Kumarasankaralingam,
  • Abidur Rahaman and
  • Grzegorz Zimon

3 July 2023

Data are produced every single instant in the modern era of technological breakthroughs we live in today and is correctly termed as the lifeblood of today’s world; whether it is Google or Meta, everyone depends on data to survive. But, with the...

  • Article
  • Open Access
2,578 Views
17 Pages

29 June 2023

This paper explores risk management strategies for investments in Nonfungible Token (NFT) coins through their diversification within the S&P 500 industry sectors. Given the significant decline in NFT coin values in 2022, understanding these strat...

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Risks - ISSN 2227-9091