£72.99
£72.99
This practical guide to asset and liability management (ALM) in banks explores strategies for managing financial risks like liquidity, interest rate, and currency risk. Featuring advanced models and real-world case studies, it bridges the gap between theory and practice.
This book provides a comprehensive and practical guide to asset and liability management (ALM) in banks and credit institutions. It explores essential strategies for optimizing balance sheet composition, managing financial risks, and enhancing institutional stability. Featuring advanced quantitative models, such as multi-objective linear programming and goal programming, it equips readers with effective tools for navigating complex financial challenges.
Key topics include liquidity management, interest rate risk, and currency risk, with a strong emphasis on practical applications, case studies, and real-world scenarios. The book also addresses the latest developments in ALM practices, regulatory requirements, and innovative risk management techniques.
Designed for banking professionals, financial managers, policymakers, and scholars, this book bridges the gap between theory and practice. Its structured approach, interactive tools, and clear methodologies make it an indispensable resource for anyone aiming to master ALM and financial risk management.
This book explores the latest research in education design for virtual and augmented reality. Using numerous studies and examples, it will help the reader gain a better understanding of the nature of these realities and their applications in theory and practice.
This book shows how artificial intelligence (AI) and machine learning (ML) are used to prevent security assaults on blockchain. It explores use cases and security methods, arguing that integrating AI and ML is crucial for increasing blockchain security.
This multidisciplinary book explores COVID-19’s impact across the sciences and humanities. It offers varied perspectives on the pandemic’s challenges and solutions, with a specific focus on Indonesia. For researchers, students, the public, and policy makers.
Satellite images often suffer from interpretability issues and lost details due to sensor limitations. This book exploits deep learning to boost minute details and improve classification, showing how super-resolution improves spatial detail for precise decision-making.
This volume presents research merging classical measurement theory with modern data science. Discover novel methods for superior measurement design, robust data evaluation, and efficient instrumentation implementations.
This book offers an integral view of human speech behavior, uniting biology, linguistics, math, and AI. It explores neural networks and microelectronics for speech recognition, text-to-speech synthesis, and dialogue systems. For a broad professional audience.
This book explores how artificial intelligence (AI) interprets behavioral patterns and their influence on personality. It discusses AI’s uses, from controlling diseases to modern personality analysis, and its challenges. Perfect for data scientists, academics, and students.
Using real-world cases, this book illustrates how to handle volatile financial time series data. Learn to apply statistical, machine learning, and deep learning techniques with R and Python to build robust predictive models and construct profitable investment portfolios.
This book explores artificial intelligence through the unique lens of art, showing how we can engage with AI without being subjugated by it. Each chapter begins with a work of art to guide the reader through philosophical keywords like “author,” “memory,” and “human.”
This book is a precise and comprehensive history of the digital computer, tracing its roots and routes through the modern era. Though dealing with the history of technology in general, its central focus is the automatic digital program-controlled calculating devices of 1935-1945.
A guide to analyzing financial data using econometric techniques. Covering topics from time series analysis to machine learning, it provides students, researchers, and finance professionals with the essential tools and real-world examples to make more accurate predictions.
In an age of digital disruption, Human Resource Management has become a strategic powerhouse. This essential guide for HR professionals and leaders provides useful frameworks to build a future-ready workforce, develop skills for the digital economy, and shape the future of work.
A guide to analyzing financial data using econometric techniques. Covering topics from time series analysis to machine learning, it provides students, researchers, and finance professionals with the essential tools and real-world examples to make more accurate predictions.
This book explores the relationship between human resources and a company’s financial performance. Learn how non-financial criteria increase employee trust and discover ways to measure financial performance to empower HR’s strategic role in increasing company profit.
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