Issues Of Sustainability In Ai And New Age Thematic Investing

In the face of an evolving global landscape characterized by climate change and a pressing need for sustainable development, the finance sector remains at a critical juncture. Traditional financial models struggle to address the challenges posed by the transition to a low-carbon economy, and unlocking private investments for sustainable initiatives remains an uphill battle. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into financial systems presents both promise and peril, with the potential to reshape the industry while posing unprecedented challenges. Issues of Sustainability in AI and New-Age Thematic Investing is a beacon of insight and solutions in the realm of green finance and AI/ML integration. Geared toward academic scholars, policymakers, and industry experts, this book serves as a comprehensive guide to navigating the intricacies of sustainable development and energy transition. By highlighting the pivotal role of AI/ML in green finance, the publication bridges the gap between theoretical understanding and practical implementation, offering actionable solutions for unlocking private investments.

In an age defined by unparalleled technological advancements, globalization, and the looming specter of environmental and societal crises, the need for a holistic and sustainable approach to accounting practices has never been more pressing. Academic scholars stand witness to the challenges posed by the new era, characterized by transformative shifts across industry, education, community, and society at large. These shifts, driven by rapid advancements in Artificial Intelligence (AI), present a double-edged sword. While AI offers unprecedented opportunities for innovation, it also amplifies the urgency of addressing sustainability concerns. Today's society grapples with the immense responsibility of achieving the Sustainable Development Goals (SDGs) outlined in Agenda 2030. It is imperative to not only understand but harness the power of AI to drive sustainability, enhance the quality of life, and ensure sustainable growth on both local and global scales. Artificial Intelligence Approaches to Sustainable Accounting serves as a beacon of knowledge, providing a comprehensive exploration of the intersection between AI, accounting, and sustainability. This book represents a vital solution to the challenges faced by academic scholars and practitioners alike. Within its pages lies a transdisciplinary approach that bridges the gap between these critical fields. Discover how AI can elevate accounting to new heights, extending the spectrum of information in organizational decision-making, promoting responsible reporting practices, and bolstering sustainable practices worldwide. This book not only reviews governance and management processes but also offers practical methodologies that empower organizations to embrace sustainability wholeheartedly.

Digital era reporting undergoes a seismic shift as automation takes center stage. The transition from manual reporting to real-time automated systems enhances precision and efficiency and reduces errors, empowering decision-makers. However, this era of digital reporting brings forth a new set of challenges, from data security and privacy concerns to the imperative need for robust cybersecurity measures. Impact of Digitalization on Reporting, Tax Avoidance, Accounting, and Green Finance delves into this transformative wave, comprehensively exploring its consequences on these critical domains. The book meticulously dissects both the positive and negative repercussions, encapsulating the challenges and opportunities that arise in this era of digital metamorphosis. Navigating tax avoidance in a digitalized world unveils a complex dynamic. Digitalization, on the one hand, empowers tax authorities to access and analyze vast datasets, making it challenging for businesses to engage in tax evasion. On the other hand, sophisticated digital tools provide fertile ground for corporations to devise intricate tax avoidance schemes. Striking a balance becomes paramount, necessitating regulatory measures and international cooperation while addressing ethical dimensions in leveraging technology for tax strategies. The book offers a nuanced understanding of the intricate relationship between digitalization and these critical domains, from business professionals and financial analysts to regulatory bodies and sustainability advocates.

Financial institutions face a critical challenge in managing financial risks effectively under the stringent regulatory frameworks of Basel III and Solvency II. Traditional risk management approaches often need to provide the necessary tools to control risks in a dynamic and evolving market environment. A comprehensive methodology integrating advanced risk analysis concepts and structured frameworks is essential for institutions to achieve optimal risk management outcomes, leading to increased solvency risk, capital requirements, and value at risk (VAR). Six Sigma DMAIC and Markov Chain Monte Carlo Applications to Financial Risk Management is a groundbreaking book that presents a transformative approach to financial risk management. Inspired by Peter L. Bernstein's insight on risk control, this book introduces a unique methodology that combines the DMAIC framework with advanced risk analysis concepts. Financial institutions can enhance their risk management processes by applying these tools to internal models for Solvency II and Basel III, reduce solvency risk, and improve competitiveness.

Like all investors, sustainable investors juggle various motivations: improving investment performance, achieving an economic or a societal outcome, and investing in ways consistent with their values/beliefs. The challenge for sustainable investment professionals is to understand their clients’ motivations and then shape their expectations and investment strategy accordingly. Given this range of motivations and the diversity of environmental, social, and governance systems, it should not be surprising that there are many ways to approach investing sustainably.

This book tells the story of how the convergence between corporate sustainability and sustainable investing is now becoming a major force driving systemic market changes. The idea and practice of corporate sustainability is no longer a niche movement. Investors are increasingly paying attention to sustainability factors in their analysis and decision-making, thus reinforcing market transformation. In this book, high-level practitioners and academic thought leaders, including contributions from John Ruggie, Fiona Reynolds, Johan Rockström, and Paul Polman, explain the forces behind these developments. The contributors highlight (a) that systemic market change is influenced by various contextual factors that impact how sustainable investing is perceived and practiced; (b) that the integration of ESG factors in investment decisions is impacting markets on a large scale and hence changes practices of major market players (e.g. pension funds); and (c) that technology and the increasing datafication of sustainability act as further accelerators of such change. The book goes beyond standard economic theory approaches to sustainable investing and emphasizes that capitalism founded on more real-world (complex) economics and cooperation can strengthen ESG integration. Aimed at both investment professionals and academics, this book gives the reader access to more practitioner-relevant information and it also discusses implementation issues. The reader will gain insights into how "mainstream" financial actors relate to sustainable investing.

In light of the climate crisis, businesses are expected to embrace sustainability to reduce their negative impacts on the environment and society, while at the same time strengthening their organisations’ positive impacts. Managing this alongside the traditional requirements of business requires careful handling, and it is small wonder that some are heralding the advantages posed by artificial intelligence (AI) as the missing piece of the puzzle. This edited book aims to present a balanced discussion of the benefits and costs of using AI for the natural environment and society, including an analysis of its potential to help meet the UN’s Agenda 2030 and the Sustainable Development Goals. Researchers, practitioners, regulators, and entrepreneurs at the forefront of sustainable AI solutions share insights into the different sustainable applications of AI and highlight how these new developments may affect and contribute to our fight against climate change and address further environmental and social challenges. This volume will be of great interest to scholars and students of digital business and new technologies, sustainability, and strategy.

A fast growing share of investors have recently widened their scope of analysis to criteria regarded as extra-financial. They are driven by different motivations. Adoption of sustainable investment strategies can be driven, on the one hand by the sole motivation to hedge portfolios against knowable risks by expanding the conceptual framework to incorporate the latest best practice in risk management. Other investors focus rather on a long-term view and make an active bet on societal change. Recent empirical research has shown that considering sustainability factors within investment practices does not come at a cost (i.e. through a reduced opportunity set) but allows for competitive returns. Furthermore, the growing market and resulting competition in the wake of sustainable investing going mainstream has the welcome effect to compress fees for such products. Hence, staying informed about recent trends in sustainable investing is imperative no matter what the main motivation is.