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Gesamtkatalog

Catalogue complet

Nabil Nakbi

Assessing Credit Default Risk Using Logistic Regression. A Transparent Approach to Scoring with the UCI Dataset and SPSS

Erdem Dogan

Eine empirische Analyse mittels SPSS

Der Zusammenhang zwischen Operationsfrequenzen und der Behandlungsqualität in öffentlichen und privaten Kliniken

 Anonymous

Central Bank Digital Currency. Eine kritische Analyse der ökonomischen und gesellschaftlichen Folgen

Political Science and International Studies (R0)

Natalie Rauscher

Welf Werner

Making Sense of Risks and Vulnerability

Natural Disasters in the United States

Contributions to Finance and Accounting

This book discusses the evolution of technical features in decentralized finance and focuses on machine-learning finance in emerging economies. As technological advancement evolves at an unpredictable pace, the financial industry, like every other sector, must adapt accordingly. Furthermore, the rapid expansion of diverse financial products and services is creating new applications and markets. Alongside technological progress, the exploration of complex patterns in vast amounts of data, known as big data, is facilitated by its commonly acknowledged characteristics: volume, variety, veracity, value, and velocity.

Overall, machine learning has become crucial in the financial industry, allowing businesses to automate operations, gain insights from data, and make more informed decisions in real time. This edited book covers algorithmic trading, risk management, fraud detection, customer service and personalization, portfolio management, credit scoring, sentiment analysis, and algorithmic pricing. The book connects theoretical concepts with practical real-world applications, benefiting professionals looking to enhance their proficiency in using these methods efficiently. It offers insightful guidance for theorists, market participants, and policymakers by exploring financial theories and practices in light of contemporary machine-learning approaches, with a special emphasis on emerging economies.

Trends, Developments and Business Practices in the Financial Sector

Machine Learning in Finance

Banks play a crucial role in the global economy, yet they are vulnerable to failures that can have catastrophic effects. Key questions arise: What causes bank failures? What drives these failures? Can we avoid a banking crisis? What happens when a bank fails?This book explores the causes, consequences, and potential prevention of banking crises. It begins by examining the fundamental roles of banks in the economic system, focusing on their intermediary functions like liquidity provision, payment management, asset transformation, and borrower oversight. The book then delves into the challenges facing the banking sector, including cyber threats, climate change, and geopolitical instabilities.The second chapter addresses the primary risks banks face, such as liquidity, credit, market, interest rate, IT, and environmental risks, and how these contribute to banking failures. Chapter three shifts focus to financial statements, contrasting those of commercial and investment banks with non-financial companies, and discusses the impact of creative accounting in recent banking collapses.Governance issues and their role in banking failures are the focus of chapter four, highlighting the crucial need for effective risk monitoring by bank directors. The final chapter illustrates the process of bank resolution and the evolving strategies of resolution authorities in ensuring bank stability.Targeted at researchers, regulators, and practitioners, this book comprehensively covers the drivers of banking failures, regulatory improvement suggestions, and real-world case studies. It emphasizes the importance of banks in today’s economy, their unique risks, and the aftermath of their failure, aiming to provide a threefold contribution to understanding and managing banking crises.

The Role of Risk Management, Governance, Accounting, and More

Why Do Banks Fail and What to Do About It

Tamilla Javadi

Pitchbook Report

The Acquisition of American Battery Technology Company by Tesla Inc.

Springer Texts in Business and Economics

A Modern Approach Using R, SPSS, Stata, and Excel

Applied Statistics and Multivariate Data Analysis for Business and Economics

Moritz Eisfeller

Risikoadjustierte Performance und Erholungsfähigkeit von Multi-Asset-ETF Portfolios in Krisenzeiten

Doctoral Thesis / Dissertation from the year 2021 in the subject Economics - Finance, grade: Distinction (4.81), Wilberforce Island (Post Graduate School), course: Banking and Finance, language: English, abstract: The study examines the determinants of access to and usage of financial services in sub-Saharan Africa. The study employed panel data spanning 2006 to 2018 from 12 sub-Sahara African countries. The ex-post facto research design and econometric techniques were employed to explain the determinants of financial inclusion. The descriptive statistics was employed to describe the nature of the data. The LLC and IPS tests of stationarity indicated that all the variables were stationary at first difference. The Pearson pairwise correlation test revealed that the strength of association among the regressors were weak. The panel data was estimated using Pooled OLS, Fixed Effects, and Random Effects panel estimation techniques. The findings show that aside GDP per capita and political stability that had insignificant effect on access; money supply and regulatory quality had a significant effect on access to financial services. Furthermore, the findings suggest that aside from regulatory quality and deposit rate, GDP per capita and automated teller machine exerts a significant effect on financial usage. The study further reveals that money supply and lending rate significantly stimulates usage of loan accounts, while regulatory quality was insignificant. The study concludes that a combination of macroeconomic, institutional, and bank-level factors determine the level of financial inclusion in sub-Saharan Africa. The study recommends that regulators should encourage a conducive environment that spurs competition and innovation in the private sector. This may encourage financial access and usage due to economic growth and rising GDP per capita levels. Regulators should adopt policies like Regulatory Impact Assessment (RIA) in order to enhance the regulatory quality and boost public confidence. Regulators and banks should encourage the expansion of the number of functional point of service outlets in the region. Finally, government agencies should formulate policies that would encourage socio-political stability for the financial service industry to strive in the region.

Dumani Markjackson

Determinants of Financial Inclusion in Sub-Saharan Africa

The Role of Financial Inclusion for Reaching Sustainable Development Goals

Palgrave Studies in Financial Services Technology

Although cryptocurrency investment has grown in popularity in recent years, many potential investors remain reluctant to enter the industry due to a number of reasons, including a lack of basic understanding, confidence, and trust. This book addresses the issue by exploring numerous topics that contribute to the development of confidence and trust in the cryptocurrency market. This book offers a detailed examination of the background and present status of the cryptocurrency market to the leadership and development team of a cryptocurrency project with perspectives from experts in the field. It also provides invaluable insights into the future of cryptocurrency as a viable asset class and its potential to change the financial setting, and will be of interest to researchers, students, and practitioners of digital money and financial technology.Ali Saeedi, CPA, is an Associate Professor of Accounting in the Business Department at the University of Minnesota, Crookston. Dr. Saeedi has taught accounting courses at undergraduate and graduate levels in Iran, Malaysia, and the United States for more than twenty years. He has authored and co-authored four books and more than 50 papers in refereed journals. His research interests include market-based accounting research, financial reporting, auditing &amp; corporate governance, accounting information systems, blockchain &amp; cryptocurrency, and data analytics in accounting.Anas Al-Fattal&nbsp;is an Assistant Professor of Marketing in the Business Department at the University of Minnesota, Crookston. His research has been focused on marketing, cryptocurrency, consumer and organizational behavior, and applied psychology. He has lectured in business in several higher education institutions in Syria, Oman, and the US.

Investigating Trust, Technology, and Regulations

The Cryptocurrency Market

Tom Stephan

Wie wirkt sich Extraversion auf Organizational Citizenship Behavior aus unter der Berücksichtigung von Selbstwertgefühl und Selbstkontrollanstrengungen im Arbeitskontext?

Assessing Credit Default Risk Using Logistic Regression. A Transparent Approach to Scoring with the UCI Dataset and SPSS

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