Data Analysis for Risk Management—Economics, Finance and Business: New Developments and Challenges
Author:
Affiliation:
1. Department of Financial Investments and Risk Management, Wroclaw University of Economics and Business, Komandorska 118/120, 53-345 Wroclaw, Poland
Abstract
Publisher
MDPI AG
Subject
Strategy and Management,Economics, Econometrics and Finance (miscellaneous),Accounting
Link
https://www.mdpi.com/2227-9091/11/4/70/pdf
Reference11 articles.
1. Arabyat, Yaser Ahmad, AlZubi, Ahmad Ali, Aldebei, Dyala M., and Al-oqaily, Samerra’a Ziad (2022). An Efficient Method for Pricing Analysis Based on Neural Networks. Risks, 10.
2. Berent, Tomasz, and Rejman, Radosław (2021). Bankruptcy Prediction with a Doubly Stochastic Poisson Forward Intensity Model and Low-Quality Data. Risks, 9.
3. Dziwok, Ewa, and Karaś, Marta A. (2021). Systemic Illiquidity Noise-Based Measure—A Solution for Systemic Liquidity Monitoring in Frontier and Emerging Markets. Risks, 9.
4. Frączkiewicz-Wronka, Aldona Kinga, Ingram, Tomasz, Szymaniec-Mlicka, Karolina Barbara, and Tworek, Piotr (2021). Risk Management and Financial Stability in the Polish Public Hospitals: The Moderating Effect of the Stakeholders’ Engagement in the Decision-Making. Risks, 9.
5. Górka, Joanna, and Kuziak, Katarzyna (2022). Volatility Modeling and Dependence Structure of ESG and Conventional Investments. Risks, 10.
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