Algorithmic Approaches To Financial Technology Forecasting Trading And Optimization
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Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization
Today, algorithms steer and inform more than 75% of modern trades. These mathematical constructs play an intricate role in automating processes, predicting market trends, optimizing portfolios, and fortifying decision-making in the financial domain. In an era where algorithms underpin the very foundation of financial services, it is imperative to hold a deep understanding of the intricate web of computational finance. Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization takes a comprehensive approach, spotlighting the fusion of artificial intelligence(AI) and algorithms in financial operations. The chapters explore the expansive landscape of algorithmic applications, from scrutinizing market trends to managing risks. The emphasis extends to AI-driven personnel selection, implementing trusted financial services, crafting recommendation systems for financial platforms, and critical fraud detection. This book serves as a vital resource for researchers, students, and practitioners. Its core strength lies in discussing AI-based algorithms as a catalyst for evolving market trends. It provides algorithmic solutions for stock markets, portfolio optimization, and robust financial fraud detection mechanisms.
The Science of Algorithmic Trading and Portfolio Management
The Science of Algorithmic Trading and Portfolio Management, with its emphasis on algorithmic trading processes and current trading models, sits apart from others of its kind. Robert Kissell, the first author to discuss algorithmic trading across the various asset classes, provides key insights into ways to develop, test, and build trading algorithms. Readers learn how to evaluate market impact models and assess performance across algorithms, traders, and brokers, and acquire the knowledge to implement electronic trading systems. This valuable book summarizes market structure, the formation of prices, and how different participants interact with one another, including bluffing, speculating, and gambling. Readers learn the underlying details and mathematics of customized trading algorithms, as well as advanced modeling techniques to improve profitability through algorithmic trading and appropriate risk management techniques. Portfolio management topics, including quant factors and black box models, are discussed, and an accompanying website includes examples, data sets supplementing exercises in the book, and large projects. - Prepares readers to evaluate market impact models and assess performance across algorithms, traders, and brokers. - Helps readers design systems to manage algorithmic risk and dark pool uncertainty. - Summarizes an algorithmic decision making framework to ensure consistency between investment objectives and trading objectives.
Driving Global Health and Sustainable Development Goals With Smart Technology
The integration of smart technologies into healthcare systems is revolutionizing how medical services are delivered, enhancing the quality and accessibility of care. These innovations play a critical role in advancing global health. By leveraging technology, healthcare systems can address long-standing challenges such as inefficiencies, rising costs, and disparities in access. This transformation is not only driving better patient outcomes but also contributing to sustainable healthcare practices, aligning with global efforts to ensure well-being for all and support public health goals like the Sustainable Development Goals (SDGs). As the world faces ongoing public health challenges, the adoption of smart technologies in healthcare is becoming increasingly essential for building resilient and equitable healthcare systems. Driving Global Health and Sustainable Development Goals With Smart Technology explores the profound transformation of healthcare systems through the integration of smart technologies. It focuses on how these innovations are shaping healthcare delivery, enhancing patient outcomes, improving operational efficiency, and driving sustainability in alignment with the SDGs. Covering topics such as artificial intelligence (AI), health policy, and robotic process automation, this book is an excellent resource for healthcare practitioners and administrators, researchers, academicians, graduate and postgraduate students, technology and innovation experts, policymakers, government officials, and more.