There is an increasing influence of machine learning in business applications, with many solutions already implemented and many more being explored. Since the global financial crisis, risk management in banks has gained more prominence, and there has been a constant focus around how risks are...

Risk diversification is the basis of insurance and investment. It is thus crucial to study the effects that could limit it. One of them is the existence of systemic risk that affects all of the policies at the same time. We introduce here a probabilistic approach to examine the consequences of...

The application of industry 4.0 in banking presents many challenges, with several operational risks related to downtime and timeout services due to system failures. One of the operational risk management steps is to estimate the value of the maximum potential losses. The purpose of this study is...

Risk taking is an inherent element of the banking business. Banks make conscious decisions regarding risk taking as they expect to make more return if they take more risk. The primary objective of this study is to empirically investigate the efficiency of Indian banks in generating return...

Chapter 1: Overview of the US Banking System -- Part 1: The Legal Background -- Chapter 2: Banking Laws -- Chapter 3: The Crypto-currency regulations -- Chapter 4: Anti-Money Laundering Laws -- Part 2: Actors: Regulators and Banks -- Chapter 5: The Regulators -- Chapter 6: Commercial Banks and...

1 Outline -- 2 Bank Management and Steering -- 3 Banks in their Regulatory and Economic Environment -- 4 Risk Modeling and Capital - Credit Risk (Loans) -- 5 Risk Modeling and Capital - Counterparty Credit Risk (EPE) -- 6 Risk Modeling and Capital - Credit Risk (Securitizations) -- 7 Risk...

The aim of the research presented in the article was to analyse the legitimacy of the use of scoring models in banking activities, together with the assessment of the effectiveness of this tool in reducing the high value of the NPL ratio in Polish cooperative banks on the example of banks...

Chapter 1. Basic concepts of bank risk aggregation -- Chapter 2. Research review of bank risk aggregation -- Chapter 3. Financial statements based bank risk aggregation framework -- Chapter 4. Bank risk aggregation based on income statement -- Chapter 5. A “factor-integral” approach to solve...

Chapter 1. Introducing Economic Capital -- Part 1. Modelling Credit-Risk Economic Capital -- Chapter 2. Constructing a Practical Model -- Chapter 3. Finding Model Parameters -- Chapter 4. Implementing The Model -- Part 2. Loan Pricing -- Chapter 5. Approximating Economic Capital -- Chapter 6....

We explore the Monte Carlo steps required to reduce the sampling error of the estimated 99.9% quantile within an acceptable threshold. Our research is of primary interest to practitioners working in the area of operational risk measurement, where the annual loss distribution cannot be...