Algorithmic Approaches To Financial Technology Forecasting Trading And Optimization

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Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization

Author : Singh, Amandeep,Taneja, Sanjay,Kumar, Pawan
Publisher : IGI Global
Page : 285 pages
File Size : 50,6 Mb
Release : 2023-12-29
Category : Business & Economics
ISBN : 9798369317471

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Algorithmic Approaches to Financial Technology: Forecasting, Trading, and Optimization by Singh, Amandeep,Taneja, Sanjay,Kumar, Pawan Pdf

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.

Robo-Advisors in Management

Author : Gupta, Swati,Taneja, Sanjay,Kumar, Vijay,Ozen, Ercan,Vardari, Luan
Publisher : IGI Global
Page : 426 pages
File Size : 44,9 Mb
Release : 2024-04-22
Category : Technology & Engineering
ISBN : 9798369328507

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Robo-Advisors in Management by Gupta, Swati,Taneja, Sanjay,Kumar, Vijay,Ozen, Ercan,Vardari, Luan Pdf

In the ever-evolving landscape of management, the introduction of robo-advisors has introduced challenges and opportunities that require careful examination. Organizations grapple with the profound impact of these automated systems on decision-making processes, resource allocation, and strategic planning. The need for a comprehensive understanding of how robo-advisors integrate into various management functions and sectors has become paramount. Decision-makers, researchers, and students seeking clarity in this transformative period are faced with a shortage of literature that bridges theoretical insights with practical applications. Robo-Advisors in Management stand out as a pioneering solution to this crucial gap in the existing body of knowledge. This book does not merely explore the challenges presented by robo-advisors; it delves into the heart of these challenges and navigates the diverse applications of these technologies in sectors ranging from wealth management to healthcare and real estate. By seamlessly blending theoretical foundations with real-world scenarios, the book equips both professionals and academics with the tools needed to comprehend and harness the potential of robo-advisors. It is an invaluable resource for decision-makers looking to optimize their strategies, researchers seeking in-depth insights, and students aspiring to navigate the intersection of management and fintech.

Exploring Global FinTech Advancement and Applications

Author : Taherdoost, Hamed,Le, Nam,Madanchian, Mitra,Farhaoui, Yousef
Publisher : IGI Global
Page : 407 pages
File Size : 47,9 Mb
Release : 2024-02-07
Category : Business & Economics
ISBN : 9798369315620

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Exploring Global FinTech Advancement and Applications by Taherdoost, Hamed,Le, Nam,Madanchian, Mitra,Farhaoui, Yousef Pdf

In the world of FinTech, scholars face an overwhelming dilemma; it is challenging to access comprehensive and up-to-date information across various regions with regards to timeliness. The transformative power of FinTech, driven by innovations such as blockchain, AI analytics, and mobile payment systems, has reshaped financial transactions, influenced economic growth, and spurred competition among traditional financial institutions. However, the lack of a comprehensive, scholarly resource hinders the ability of academics, policymakers, and industry professionals to navigate and comprehend these intricate developments. The need for a centralized repository of knowledge has become increasingly urgent, hindering the collective understanding of the complex dynamics of FinTech on a global scale. Exploring Global FinTech Advancement and Applications stands as a groundbreaking solution to the academic community's pressing need for a comprehensive understanding of this global financial landscape. Through meticulous assessments of countries across each global region, each chapter delves into market size, FinTech adoption rates, services offered, key players, investments, infrastructure, government policies, economic impacts, security concerns, academic research synthesis, and future trends. By consolidating this wealth of information, the book becomes an indispensable reference guide for scholars, researchers, policymakers, investors, and industry professionals seeking to navigate the intricate dynamics of FinTech on a global scale.

The Role of Financial Inclusion for Reaching Sustainable Development Goals

Author : Jungo, João,Madaleno, Mara,Botelho, Anabela,Dogan, Eyup
Publisher : IGI Global
Page : 346 pages
File Size : 49,6 Mb
Release : 2024-02-12
Category : Business & Economics
ISBN : 9798369305232

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The Role of Financial Inclusion for Reaching Sustainable Development Goals by Jungo, João,Madaleno, Mara,Botelho, Anabela,Dogan, Eyup Pdf

In today's world, financial inclusion has emerged as a critical tool for fostering inclusive economic growth and achieving sustainable development goals. The Role of Financial Inclusion for Reaching Sustainable Development Goals presents a comprehensive exploration of the subject, offering a vital resource for anyone seeking to grasp the intricacies of this dynamic and evolving field. This book assembles a collection of cutting-edge research on financial inclusion, featuring contributions from diverse contributing authors with expertise in various aspects of finance and economics. The volume is structured to examine the main trends and challenges surrounding financial inclusion, while shedding light on its implications for different economies and societies. From the determinants of financial inclusion to its effects on economic agents, financial institutions, and entire economies, each chapter delves into crucial questions, exploring both the theoretical and empirical aspects of the topic. By examining the challenges and implications of financial inclusion in an international context, this book emerges as a relevant and timely reference for policymakers, academics, and financial professionals alike. This book emphasizes the broader social and political impact of financial inclusion, discussing its correlation with issues such as gender inequality, education expenses, health expenses, access to water and sanitation, environmental inequality, and energy needs.

Econometric Analyses on Global Finance and Economic Development

Author : Abdul-Maliq, Yekeen Oku
Publisher : IGI Global
Page : 313 pages
File Size : 49,8 Mb
Release : 2024-01-29
Category : Business & Economics
ISBN : 9798369316115

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Econometric Analyses on Global Finance and Economic Development by Abdul-Maliq, Yekeen Oku Pdf

Understanding the complex interplay between economic ideologies, political systems, and international relations is more critical than ever. The legacy of the Cold War still lingers, shaping the global stage in myriad ways. The ideological divide between capitalism and communism, democracy and authoritarianism, has left a lasting mark on our political and economic landscapes. However, as the world continues to evolve, traditional definitions and assumptions about these ideologies have begun to blur, creating a pressing need for fresh perspectives. The book, Econometric Analyses on Global Finance and Economic Development, serves as a beacon of knowledge for scholars, students, and policymakers seeking a deeper understanding of economic history, political economy, and international relations. By meticulously analyzing fifteen countries, the book unveils a remarkable transformation in economic ideologies and their impact on prosperity. From the post-Cold War era to the present day, it provides empirical evidence of how these shifts have led to more resilient and buoyant economies. Targeted towards those interested in the intersection of history, economics, and politics, this book presents an extensive analysis of countries such as China, India, Vietnam, and many others, shedding light on their economic transformations and their path to global prosperity. Whether you are a student, a researcher, or a decision-maker in the fields of economics, international relations, or development finance, this book offers valuable insights into the dynamic forces shaping our world.

Harnessing Blockchain-Digital Twin Fusion for Sustainable Investments

Author : Jafar, Syed Hasan,Rodriguez, Raul Villamarin,Kannan, Hemachandran,Akhtar, Shakeb,Plugmann, Philipp
Publisher : IGI Global
Page : 463 pages
File Size : 40,5 Mb
Release : 2024-02-29
Category : Business & Economics
ISBN : 9798369318799

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Harnessing Blockchain-Digital Twin Fusion for Sustainable Investments by Jafar, Syed Hasan,Rodriguez, Raul Villamarin,Kannan, Hemachandran,Akhtar, Shakeb,Plugmann, Philipp Pdf

The pressing challenge of aligning cutting-edge technologies with environmental sustainability has emerged as a pivotal issue. As the demand for green investment strategies intensifies, the need for a comprehensive understanding of how to integrate blockchain and digital twins into financial practices becomes increasingly urgent. The disconnect between these innovative technologies and sustainable finance practices is a gap that, if left unbridged, hampers progress toward a more environmentally responsible financial future. Harnessing Blockchain-Digital Twin Fusion for Sustainable Investments emerges as the solution to this critical problem. This book serves as a transformative guide, offering a deep dive into the synergy of blockchain and digital twins, providing real-world applications, case studies, and strategy frameworks. Tailored for academia, finance professionals, technologists, policymakers, and company leaders, this book bridges the gap between cutting-edge technologies and sustainable finance practices. It not only contributes to ongoing research but also acts as a catalyst for innovation, empowering individuals to make informed decisions in an evolving financial landscape with a heightened commitment to environmental responsibility. Embark on a journey with this groundbreaking resource, where technology meets sustainability, and discover how to reshape finance for a greener and more innovative future.

Digital Capitalism in the New Media Era

Author : Topçu, Çiçek
Publisher : IGI Global
Page : 289 pages
File Size : 47,9 Mb
Release : 2024-01-25
Category : Social Science
ISBN : 9798369311837

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Digital Capitalism in the New Media Era by Topçu, Çiçek Pdf

How do digital capitalism and the evolving landscape of new media intersect, and what does this mean for the future of media? It is necessary to begin the excavation process, to unearth the insights of experts in these fields to better understand the transformation of the globalized world. In Digital Capitalism in the New Media Era, the intricate relationship between media and society takes center stage, examined through the lens of contemporary technology's impact on this dynamic. Within the confines of this meticulously researched book lies a comprehensive analysis of how the established political economy of traditional media has adapted and responded to the surge of new technologies. The rise of new tools has inadvertently ushered in a new age of surveillance, marked by sophisticated techniques like digital trace tracking and micro-targeting strategies. This book covers comprehensive topics, including exploiting personal data for both commercial and political ends, the pervasive influence of algorithmic mechanisms and filter bubbles, and the dominion of tech giants in this digital landscape. By offering a panoramic view of the contemporary media landscape, this book not only equips researchers, sociologists, and media professionals with an understanding of the intricate interplay between technology and society but also facilitates a deeper comprehension of pressing concerns such as open science, gender equality, and the digital divide.

Artificial Intelligence in Financial Markets

Author : Christian L. Dunis,Peter W. Middleton,Andreas Karathanasopolous,Konstantinos Theofilatos
Publisher : Springer
Page : 349 pages
File Size : 40,6 Mb
Release : 2016-11-21
Category : Business & Economics
ISBN : 9781137488800

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Artificial Intelligence in Financial Markets by Christian L. Dunis,Peter W. Middleton,Andreas Karathanasopolous,Konstantinos Theofilatos Pdf

As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in financial forecasting allowing for quick investment decision making. This book presents the most cutting-edge artificial intelligence (AI)/neural networking applications for markets, assets and other areas of finance. Split into four sections, the book first explores time series analysis for forecasting and trading across a range of assets, including derivatives, exchange traded funds, debt and equity instruments. This section will focus on pattern recognition, market timing models, forecasting and trading of financial time series. Section II provides insights into macro and microeconomics and how AI techniques could be used to better understand and predict economic variables. Section III focuses on corporate finance and credit analysis providing an insight into corporate structures and credit, and establishing a relationship between financial statement analysis and the influence of various financial scenarios. Section IV focuses on portfolio management, exploring applications for portfolio theory, asset allocation and optimization. This book also provides some of the latest research in the field of artificial intelligence and finance, and provides in-depth analysis and highly applicable tools and techniques for practitioners and researchers in this field.

Governance and Policy Transformations in Central Banking

Author : Ahmed, Farhan,Khan, Raza Ali
Publisher : IGI Global
Page : 334 pages
File Size : 43,5 Mb
Release : 2024-02-07
Category : Business & Economics
ISBN : 9798369308363

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Governance and Policy Transformations in Central Banking by Ahmed, Farhan,Khan, Raza Ali Pdf

In central banking, the need for effective governance and policy transformations has never been more pressing. Central banks serve as the bedrock of a nation's financial stability, and yet, they face an array of complex challenges in the modern era. The delicate balance between autonomy from government influence and the necessity of adapting to external economic forces has become increasingly elusive. As the world grapples with the aftermath of a global pandemic and persistent economic turbulence, the demand for innovative strategies to safeguard economic and financial stability has reached a crescendo. Central bankers, economists, and policy experts are left grappling with the daunting task of navigating these treacherous waters, in dire need of a compass to guide them toward a resilient future. Governance and Policy Transformations in Central Banking is a groundbreaking book that transcends traditional boundaries to offer a comprehensive solution to the complex challenges faced by central banks worldwide. This book not only diagnoses problems, it also presents a meticulously curated collection of new empirical and theoretical chapters that illuminate the path forward. It is an invaluable resource that empowers central banks with the knowledge and tools necessary for development, governance, and policy transformation.

Strengthening Sustainable Digitalization of Asian Economy and Society

Author : Ordóñez de Pablos, Patricia,Almunawar, Mohammad Nabil,Anshari, Muhammad
Publisher : IGI Global
Page : 458 pages
File Size : 43,5 Mb
Release : 2024-03-27
Category : Business & Economics
ISBN : 9798369319437

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Strengthening Sustainable Digitalization of Asian Economy and Society by Ordóñez de Pablos, Patricia,Almunawar, Mohammad Nabil,Anshari, Muhammad Pdf

In the ongoing evolution of Asia's economy and society, there is a crucial need to explore innovative conceptual frameworks, empirical studies, and case analyses. These endeavors aim to unravel the intricate relationship between digital transformation and the imperative for fostering a greener, more circular, and climate-neutral Asian economy. Strengthening Sustainable Digitalization of Asian Economy and Society explores the intersection between digital technologies, knowledge management, and sustainable development. The book addresses the challenges and opportunities the digital age poses, examining how advanced information technologies, including artificial intelligence, IoT, and machine learning, coupled with practical knowledge management, can catalyze a transformative journey. Strengthening Sustainable Digitalization of Asian Economy and Society unravels how these digital tools and solutions impact the realization of the Sustainable Development Goals (SDGs) by 2030, offering invaluable insights for academics, researchers, industry players, policymakers, and stakeholders. This book emphasizes the ASEAN region, providing an understanding of the regional nuances in the digital transition by presenting comparative regional studies, including Asia, Europe, the USA, Latin America, Africa, and the Gulf Region.

Genetic Algorithms and Applications for Stock Trading Optimization

Author : Kapoor, Vivek,Dey, Shubhamoy
Publisher : IGI Global
Page : 262 pages
File Size : 41,9 Mb
Release : 2021-06-25
Category : Computers
ISBN : 9781799841067

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Genetic Algorithms and Applications for Stock Trading Optimization by Kapoor, Vivek,Dey, Shubhamoy Pdf

Genetic algorithms (GAs) are based on Darwin’s theory of natural selection and survival of the fittest. They are designed to competently look for solutions to big and multifaceted problems. Genetic algorithms are wide groups of interrelated events with divided steps. Each step has dissimilarities, which leads to a broad range of connected actions. Genetic algorithms are used to improve trading systems, such as to optimize a trading rule or parameters of a predefined multiple indicator market trading system. Genetic Algorithms and Applications for Stock Trading Optimization is a complete reference source to genetic algorithms that explains how they might be used to find trading strategies, as well as their use in search and optimization. It covers the functions of genetic algorithms internally, computer implementation of pseudo-code of genetic algorithms in C++, technical analysis for stock market forecasting, and research outcomes that apply in the stock trading system. This book is ideal for computer scientists, IT specialists, data scientists, managers, executives, professionals, academicians, researchers, graduate-level programs, research programs, and post-graduate students of engineering and science.

The Science of Algorithmic Trading and Portfolio Management

Author : Robert Kissell
Publisher : Academic Press
Page : 496 pages
File Size : 54,6 Mb
Release : 2013-10-01
Category : Business & Economics
ISBN : 9780124016934

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The Science of Algorithmic Trading and Portfolio Management by Robert Kissell Pdf

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.

Algorithmic Trading and Quantitative Strategies

Author : Raja Velu
Publisher : CRC Press
Page : 378 pages
File Size : 41,6 Mb
Release : 2020-08-12
Category : Business & Economics
ISBN : 9781498737210

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Algorithmic Trading and Quantitative Strategies by Raja Velu Pdf

Algorithmic Trading and Quantitative Strategies provides an in-depth overview of this growing field with a unique mix of quantitative rigor and practitioner’s hands-on experience. The focus on empirical modeling and practical know-how makes this book a valuable resource for students and professionals. The book starts with the often overlooked context of why and how we trade via a detailed introduction to market structure and quantitative microstructure models. The authors then present the necessary quantitative toolbox including more advanced machine learning models needed to successfully operate in the field. They next discuss the subject of quantitative trading, alpha generation, active portfolio management and more recent topics like news and sentiment analytics. The last main topic of execution algorithms is covered in detail with emphasis on the state of the field and critical topics including the elusive concept of market impact. The book concludes with a discussion on the technology infrastructure necessary to implement algorithmic strategies in large-scale production settings. A git-hub repository includes data-sets and explanatory/exercise Jupyter notebooks. The exercises involve adding the correct code to solve the particular analysis/problem.

Algorithmic Trading Methods

Author : Robert Kissell
Publisher : Academic Press
Page : 614 pages
File Size : 42,7 Mb
Release : 2020-09-08
Category : Business & Economics
ISBN : 9780128156315

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Algorithmic Trading Methods by Robert Kissell Pdf

Algorithmic Trading Methods: Applications using Advanced Statistics, Optimization, and Machine Learning Techniques, Second Edition, is a sequel to The Science of Algorithmic Trading and Portfolio Management. This edition includes new chapters on algorithmic trading, advanced trading analytics, regression analysis, optimization, and advanced statistical methods. Increasing its focus on trading strategies and models, this edition includes new insights into the ever-changing financial environment, pre-trade and post-trade analysis, liquidation cost & risk analysis, and compliance and regulatory reporting requirements. Highlighting new investment techniques, this book includes material to assist in the best execution process, model validation, quality and assurance testing, limit order modeling, and smart order routing analysis. Includes advanced modeling techniques using machine learning, predictive analytics, and neural networks. The text provides readers with a suite of transaction cost analysis functions packaged as a TCA library. These programming tools are accessible via numerous software applications and programming languages. Provides insight into all necessary components of algorithmic trading including: transaction cost analysis, market impact estimation, risk modeling and optimization, and advanced examination of trading algorithms and corresponding data requirements Increased coverage of essential mathematics, probability and statistics, machine learning, predictive analytics, and neural networks, and applications to trading and finance Advanced multiperiod trade schedule optimization and portfolio construction techniques Techniques to decode broker-dealer and third-party vendor models Methods to incorporate TCA into proprietary alpha models and portfolio optimizers TCA library for numerous software applications and programming languages including: MATLAB, Excel Add-In, Python, Java, C/C++, .Net, Hadoop, and as standalone .EXE and .COM applications

Computational Intelligence Techniques for Trading and Investment

Author : Christian Dunis,Spiros Likothanassis,Andreas Karathanasopoulos,Georgios Sermpinis,Konstantinos Theofilatos
Publisher : Routledge
Page : 298 pages
File Size : 50,7 Mb
Release : 2014-03-26
Category : Business & Economics
ISBN : 9781136195105

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Computational Intelligence Techniques for Trading and Investment by Christian Dunis,Spiros Likothanassis,Andreas Karathanasopoulos,Georgios Sermpinis,Konstantinos Theofilatos Pdf

Computational intelligence, a sub-branch of artificial intelligence, is a field which draws on the natural world and adaptive mechanisms in order to study behaviour in changing complex environments. This book provides an interdisciplinary view of current technological advances and challenges concerning the application of computational intelligence techniques to financial time-series forecasting, trading and investment. The book is divided into five parts. The first part introduces the most important computational intelligence and financial trading concepts, while also presenting the most important methodologies from these different domains. The second part is devoted to the application of traditional computational intelligence techniques to the fields of financial forecasting and trading, and the third part explores the applications of artificial neural networks in these domains. The fourth part delves into novel evolutionary-based hybrid methodologies for trading and portfolio management, while the fifth part presents the applications of advanced computational intelligence modelling techniques in financial forecasting and trading. This volume will be useful for graduate and postgraduate students of finance, computational finance, financial engineering and computer science. Practitioners, traders and financial analysts will also benefit from this book.