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Risks, Volume 11, Issue 10

October 2023 - 18 articles

Cover Story: Leopold Gegenbauer was a 19th century mathematician who developed Gegenbauer polynomials. A Gegenbauer model when combined with a short-memory ARMA model is known as a GARMA model. Gegenbauer Auto-Regressive Moving-Average Models (GARMA) are a form of long-memory models and fractal models. They can capture processes that have a high correlation between observations that are far apart in time. GARMA models can also capture short-term cycles. These models can be applied to a variety of time series displaying long memory including sunspots, the flooding of the Nile, (see Hurst as in the Hurst exponent (1951)), inflation rates, exchange rates and realized volatility (RV), the topic of this application. View this paper
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Articles (18)

  • Article
  • Open Access
1 Citations
2,725 Views
13 Pages

Risk Structure of Banks in Spain: Do BHCs Have Greater Cost of Debt?

  • Natalia Boliari,
  • Kudret Topyan and
  • Chia-Jane Wang

23 October 2023

Holding companies legally separate the assets and owners of a company creating a layer of liability protection. Theoretically, this feature lowers the risk attributable to holding companies, enabling them to offer lower-cost debts compared to stand-a...

  • Feature Paper
  • Article
  • Open Access
4,214 Views
25 Pages

20 October 2023

This work aims to develop a measure of how much credit risk is priced into equity options. Such a measure appears particularly appealing when applied to a portfolio of equity options, as it allows for the factoring in of firm-specific default dynamic...

  • Article
  • Open Access
18 Citations
13,294 Views
18 Pages

19 October 2023

The importance of Environmental, Social, and Governance (ESG) aspects in investment decisions has grown significantly in today’s volatile financial market. This study aims to answer the important question of whether investing in ESG-compliant c...

  • Article
  • Open Access
1 Citations
3,596 Views
20 Pages

19 October 2023

The purpose of this study was to examine the determinants of cash distribution options by critically considering the effects of earnings, dividends, firm size, and economic value added. The distribution of cash dividends to shareholders serves as a b...

  • Article
  • Open Access
7 Citations
3,991 Views
15 Pages

18 October 2023

Participation and inclusion in the business ecosystem have emerged as a growing trend for company collaboration in areas such as innovation, product development, and research. Collaborations can take many forms, ranging from the traditional value cha...

  • Feature Paper
  • Article
  • Open Access
2 Citations
2,677 Views
15 Pages

16 October 2023

This paper features an analysis of the relative effectiveness, in terms of the Adjusted R-Square, of a variety of methods of modelling realized volatility (RV), namely the use of Gegenbauer processes in Auto-Regressive Moving Average format, GARMA, a...

  • Article
  • Open Access
2 Citations
2,876 Views
12 Pages

Taguchi Risk and Process Capability

  • Alexandru Isaic-Maniu,
  • Irina-Maria Dragan,
  • Ana-Maria Grigore and
  • Florentina Constantin

13 October 2023

Process control methods, in general, and quality, in particular, most often refer to the measures taken especially to the finished product, as well as to the technological process, in order to maintain its performance within certain statistical param...

  • Article
  • Open Access
3 Citations
8,260 Views
19 Pages

Mapping Risks Faced by Startup Investors: An Approach Based on the Apriori Algorithm

  • Claudio Roberto Silva Júnior,
  • Julio Cezar Mairesse Siluk,
  • Alvaro Luis Neuenfeldt-Júnior,
  • Matheus Binotto Francescatto and
  • Cláudia de Freitas Michelin

13 October 2023

This article maps and verifies the dependence relation between risks faced by startup investors. Thus, a systematic review of 33 articles and a meta-analysis using the Apriori algorithm were used. We mapped 14 investment risks faced by startup invest...

  • Article
  • Open Access
16 Citations
9,132 Views
17 Pages

10 October 2023

This article presents a comparative analysis of machine learning models for business failure prediction. Bankruptcy prediction is crucial in assessing financial risks and making informed decisions for investors and regulatory bodies. Since machine le...

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Risks - ISSN 2227-9091