scholarly journals Quadruple-Threshold Credit Risk Modeling: Implications for Corporate Financial Risk Management

2008 ◽  
Vol 1 (1) ◽  
pp. 26-31
Author(s):  
Chikashi Tsuji
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Financial Risk ◽  
Risk Modeling ◽  
Financial Risk Management ◽  
Credit Risk Modeling

Financial Risk Management

2016 ◽  
pp. 301-311
Author(s):  
Mirela-Madalina Stoian ◽  
Rares-Gabriel Stoian
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Financial Markets ◽  
Financial Risk ◽  
Liquidity Risk ◽  
Financial Risks ◽  
Basic Principles ◽  
Financial Risk Management ◽  
Management Framework ◽  
Risk Management Framework

The present paper intends to serve as an introduction into the financial risk management universe. It starts with the basic assumption that performance of an organization is inseparable from the risks it is facing. Any organization should have in place the necessary tools to identify, assess and constantly measure the risks it is exposed to. The paper focuses in defining the basic principles in creating a viable risk management framework that keeps track of three major categories of identified financial risks: market risk, credit risk and liquidity risk. Emphasis is put on the models to measure these types of risks but also on the tools an organization can use in order to reduce them. The second part of the paper is dedicated to recent events that shaped and shocked financial markets and illustrate the consequences faced by organizations when risks are not properly assessed and the risk management models in place are based on dangerously unrealistic notions.

Financial Risk Management

2018 ◽  
pp. 162-173
Author(s):  
Mirela-Madalina Stoian ◽  
Rares-Gabriel Stoian
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Financial Markets ◽  
Financial Risk ◽  
Liquidity Risk ◽  
Financial Risks ◽  
Basic Principles ◽  
Financial Risk Management ◽  
Management Framework ◽  
Risk Management Framework

The present paper intends to serve as an introduction into the financial risk management universe. It starts with the basic assumption that performance of an organization is inseparable from the risks it is facing. Any organization should have in place the necessary tools to identify, assess and constantly measure the risks it is exposed to. The paper focuses in defining the basic principles in creating a viable risk management framework that keeps track of three major categories of identified financial risks: market risk, credit risk and liquidity risk. Emphasis is put on the models to measure these types of risks but also on the tools an organization can use in order to reduce them. The second part of the paper is dedicated to recent events that shaped and shocked financial markets and illustrate the consequences faced by organizations when risks are not properly assessed and the risk management models in place are based on dangerously unrealistic notions.

scholarly journals Challenges of Financial Risk Management: AI Applications

2021 ◽  
Author(s):  
Vesna Bogojevic Arsic
Keyword(s):  
Artificial Intelligence ◽  
Risk Management ◽  
Credit Risk ◽  
Financial Risk ◽  
Market Risk ◽  
Credit Risk Management ◽  
Financial Industry ◽  
Financial Risk Management ◽  
Artificial Intelligence Techniques ◽  
Financial Technology

Research Question: This paper reviews different artificial intelligence (AI) techniques application in financial risk management. Motivation: Financial technology has significantly changed the business operations which required transformation of financial industry. The financial risk management needs to be restructured because the methods that have been used in the past became low effective. The artificial intelligence techniques proved their efficiency and contributed to fast, low–cost and improved financial risk management in both financial institutions and companies. Idea: The aim of this paper is to present a state of AI techniques application in financial risk management, as well as to point out the direction in which further application and development could be expected. Data: The analysis was conducted by reviewing various papers, books and reports on AI applications in financial risk management. Tools: The relevant literature systematization was used to provide answers to the question to what extent AI techniques (especially machine learning) could be used in managing financial risk management. Findings: Artificial intelligence largely improved the market risk and credit risk management through data preparation, modelling risk, stress testing and model validation. Artificial intelligence techniques can be useful in data quality assurance, text-mining for data augmentation and fraud detection. The financial technology will continue to affect the financial sector through requiring the adaption to new environment and new business models. Because of that, it could be expected that artificial intelligence will become part of the financial risk management framework. Contribution: This paper provides a review of artificial intelligence applications in market risk management, credit risk management and operational risk management. The paper identified the key AI techniques that could be used for financial risk management improvement because of financial industry transformation.

Financial Risk Management

2018 ◽  
pp. 97-108
Author(s):  
Mirela-Madalina Stoian ◽  
Rares-Gabriel Stoian
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Financial Markets ◽  
Financial Risk ◽  
Liquidity Risk ◽  
Financial Risks ◽  
Basic Principles ◽  
Financial Risk Management ◽  
Management Framework ◽  
Risk Management Framework

The present paper intends to serve as an introduction into the financial risk management universe. It starts with the basic assumption that performance of an organization is inseparable from the risks it is facing. Any organization should have in place the necessary tools to identify, assess and constantly measure the risks it is exposed to. The paper focuses in defining the basic principles in creating a viable risk management framework that keeps track of three major categories of identified financial risks: market risk, credit risk and liquidity risk. Emphasis is put on the models to measure these types of risks but also on the tools an organization can use in order to reduce them. The second part of the paper is dedicated to recent events that shaped and shocked financial markets and illustrate the consequences faced by organizations when risks are not properly assessed and the risk management models in place are based on dangerously unrealistic notions.

FINANCIAL RISK MANAGEMENT IN ENTREPRENEURIAL ACTIVITY: CONCEPT, SYSTEM AND PRINCIPLE OF BUILDING

2020 ◽  
Vol 2 (4) ◽  
pp. 62-67
Author(s):  
M. M. KHAYTANOVA ◽  
Keyword(s):  
Risk Management ◽  
Financial Risk ◽  
Entrepreneurial Activity ◽  
Financial Risks ◽  
Study Methods ◽  
Financial Risk Management ◽  
Concept System

The article reveals: theoretical justifications of the concept of “financial risk” in relation to the sphere of entrepreneurship; methods for its identification and processing. Financial risk management is the activity of identification, assessment, control and monitoring of risks. In the course of the study, methods for managing financial risks in entrepreneurial activity and their classification were identified.

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