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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
1 Citations
1,987 Views
12 Pages

29 June 2023

Current theories of the discount rate have a theoretical basis focused on risk; risk-free rate and risk premium. The basic component of the discount rate, the risk-free rate as purely empirical has a natural infirmity which consequently weakens the f...

  • Article
  • Open Access
1 Citations
3,249 Views
20 Pages

26 June 2023

We present a multiscale analysis of the volatility of intraday prices from high-frequency data. Our multiscale framework includes a fractional Brownian motion and microstructure noise as the building blocks. The proposed noisy fractional Brownian mot...

  • Article
  • Open Access
11 Citations
6,123 Views
13 Pages

21 June 2023

Risk management in electricity markets is essential for decision making that involve uncertainty. This article researches the dominant themes and research trends in risk management in electricity markets using descriptive analysis, literature mapping...

  • Article
  • Open Access
3 Citations
2,949 Views
18 Pages

21 June 2023

The past decade has witnessed significant turmoil and political conflicts in several Middle Eastern countries, such as Egypt, Syria, and Libya, called the Arab Spring. These revolutions did not only affect the countries mentioned previously; their ne...

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Risks - ISSN 2227-9091