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Evaluating the effectiveness of modern forecasting models in predicting commodity futures prices in volatile economic times

Vancsura, László; Tatay, Tibor; Bareith, Tibor - In: Risks : open access journal 11 (2023) 2, pp. 1-16

The paper seeks to answer the question of how price forecasting can contribute to which techniques gives the most accurate results in the futures commodity market. A total of two families of models (decision trees, artificial intelligence) were used to produce estimates for 2018 and 2022 for 21-...

Persistent link: https://www.econbiz.de/10014233184

Fuzzy Quantitative Management : Principles, Methodologies and Applications

Lin, Shaopei; Zhao, Guohua - 2023

Conceptual Investigation of “Deep Data” and “Deep Knowledge” -- Fuzzy Quantitative Risk Management -- Quantitative Studies in … Risk Management by Knowledge Engineering -- Fuzzy Quantitative Management in Economics -- Fuzzy Programming Modeling for … important in project risk management problems, and in complicated mega projects. Using computers to simulate human intelligence …

Persistent link: https://www.econbiz.de/10014415199

Using Artificial Intelligence (AI) to Minimize Errors in Business Enterprise Management

Becker, Helmut - 2025

APPLICATION OF ANINTEGRATED AUDIT APPROACH TO IDENTIFY THE WEAKNESSES OFTHE RISK MANAGEMENT SYSTEMS ISO 31000 AND COSO … ERMFRAMEWORK IN CAPTURING THE ERROR CULTURE, WHICH HASTHE POTENTIAL FOR OPERATIONALIZATION THROUGH AI -- COMPARISON OF THE RISK …, including a unique 56-criteria checklist, it offers actionable strategies for identifying and mitigating risk management …

Persistent link: https://www.econbiz.de/10015206747

Regulating AI in the financial sector : recentdevelopments and main challenges

Crisanto, Juan Carlos; Leuterio, Cris Benson; Prenio, Jermy - 2024

Persistent link: https://www.econbiz.de/10015211619

Liquidity Dynamics and Risk Modeling : Navigating Trading and Investment Portfolios Frontiers with Machine Learning Algorithms

Al Janabi, Mazin A. M. - 2024

Chapter 1: Beyond the Surface: In-depth Perspectives on Liquidity and Risk Frontiers -- Chapter 2: Unlocking the … Microstructure of Liquidity Risk: Understanding Interactions with other Financial Risks and Best Practices in Oversight and … Governance -- Chapter 3: Crises to Opportunities: Derivatives Trading, Liquidity Management, and Risk Mitigation Strategies in …

Persistent link: https://www.econbiz.de/10015157948

Global perspectives on operational risk management and practice : a survey by the Institute of Operational Risk (IOR) and the Center for Financial Professionals (CeFPro)

Peters, Gareth; Clark, George; Thirlwell, John; Kulwal, … - In: The journal of operational risk 13 (2018) 4, pp. 47-88

Persistent link: https://www.econbiz.de/10011976060

Artificial intelligence approach to momentum risk-taking

Tscherednik, Iwan Wladimirowitsch - In: International Journal of Financial Studies : open … 9 (2021) 4, pp. 1-42

We propose a mathematical model of momentum risk-taking, which is essentially real-time risk management focused on … this paper. It proved to be successful in extensive historical and real-time experiments. Momentum risk-taking is one of …

Persistent link: https://www.econbiz.de/10012698279

A gated recurrent unit approach to bitcoin price prediction

Dutta, Aniruddha; Kumar, Saket; Basu, Meheli - In: Journal of risk and financial management : JRFM 13 (2020) 2/23, pp. 1-16

In today's era of big data, deep learning and artificial intelligence have formed the backbone for cryptocurrency portfolio optimization. Researchers have investigated various state of the art machine learning models to predict Bitcoin price and volatility. Machine learning models like recurrent...

Persistent link: https://www.econbiz.de/10012173959

A cutting-edge approach to risk management framework : upswing customs administration

Satyadini, Agung Endika; Basir, Abdul; Barata, Adi - In: Journal of management research 12 (2020) 1, pp. 57-73

Persistent link: https://www.econbiz.de/10012156649

ISO 20022 : understanding the scale of change

Schmidt, Isabel - In: Journal of digital banking 5 (2020) 2, pp. 126-136

Persistent link: https://www.econbiz.de/10012421157