NKD-GROUP e-BOOKS
Electronic-books (i.e., e-Books) are particularly well suited to an educational environment shaped by artificial intelligence, rapidly changing information, and students’ increasingly digital patterns of learning. Unlike traditional print texts, e-books can be updated efficiently to incorporate new market developments, emerging AI applications, revised data, and contemporary examples without requiring an entirely new print edition. They also provide immediate, portable access across laptops, tablets, and phones while supporting searchable text, hyperlinks, embedded multimedia, interactive exercises, and integration with analytical software and online resources. As AI reshapes how students locate, interpret, and apply information, well-designed e-books can move learning beyond passive reading toward active analysis, verification, and problem solving by connecting theory directly to current datasets, simulations, models, and experiential assignments. This flexibility makes digital texts especially valuable for preparing students to work thoughtfully, responsibly, and effectively in a technology-rich professional environment.
Links on this page: To each e-Book website and separate links to buy an NKD-Group subscription.
The ARMDAT e-Book
Applied Risk Management: Valuation of Derivatives Under AI and Data Science Technologies (ARMDAT)
The textbook provides a comprehensive examination of derivative markets, with particular emphasis on options, futures, and swaps. It explains how these instruments are structured, priced, traded, and used in practice for hedging, speculation, arbitrage, and portfolio-risk management. Applications extend across both individual securities and index-based products, allowing students to evaluate derivative strategies involving equities, fixed-income instruments, market indexes, and diversified portfolios. The presentation is designed to move beyond isolated contract mechanics by showing how derivative positions interact with underlying asset exposures and broader investment objectives.
A central feature of ARMDAT is its treatment of portfolio diversification and risk control. Students examine how to construct efficiently diversified portfolios using covariance estimates that have been “shrunk” to improve their stability and practical usefulness. The text then develops portfolio-hedging approaches intended to help investors manage changing market exposures and maintain more stable risk–return objectives. This integrated perspective connects portfolio optimization, covariance estimation, derivative strategy design, and hedging implementation within a unified analytical framework.
ARMDAT also includes simulation-based applications for equity and fixed-income instruments. These exercises give students opportunities to explore uncertainty, price behavior, interest-rate effects, payoff structures, portfolio outcomes, and hedging performance under alternative market scenarios. By combining conceptual development, quantitative analysis, and hands-on simulations, the book supports a learning experience that is both academically rigorous and directly relevant to investment practice.
Students and instructors are encouraged to visit the ARMDAT website for a full description of the volume, including detailed chapter coverage, instructional features, simulation resources, and examples of the experiential applications incorporated throughout the textbook. CLICK HERE
The AISIM e-Book
AI and Data Science in Applied Security and Investment Managements (AISIM)
AISIM is a comprehensive 19-chapter textbook, available exclusively in e-book format, designed to support senior-level undergraduate and MBA courses in investments, portfolio management, and financial analytics. The volume combines the theoretical foundations of investment analysis with experiential, application-oriented learning activities that help students connect core principles to the practical decisions faced by analysts, portfolio managers, institutional investors, and individual market participants.
Throughout the text, students develop a structured understanding of investment theory, risk–return analysis, asset valuation, portfolio construction, diversification, market behavior, and contemporary investment issues. The material also emphasizes investment analytics by incorporating quantitative reasoning, data interpretation, and decision-making frameworks relevant to today’s technology-enabled financial markets. By pairing conceptual discussion with practical exercises and applied examples, AISIM is intended to help students build both the analytical competence and professional perspective needed to evaluate investment opportunities and manage risk effectively.
The e-book format supports flexible use in traditional, hybrid, and online learning environments, making it well suited to courses that integrate lecture-based instruction with spreadsheet analysis, market-data exercises, case applications, and independent student research. Students and instructors are encouraged to visit the AISIM.com website for a complete description of the volume, including its chapter coverage, instructional features, and the experiential applications incorporated throughout the text.. CLICK HERE