Oliver J Thatch (105 results)

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingPower plants sit at the center of the energy transition. Their economics determine which technologies get built, how capital is allocated, and how risk is priced across decades of operation.The Economics of Power Plants provides a clear, structured examination of the financial and decision frameworks that govern power generation investments. It focuses on the practical application of levelized cost of energy (LCOE), the treatment of technical and market risk, and the investment logic that shapes project selection in a rapidly changing energy system.The book covers: - Core components of levelized cost calculation and their sensitivity to assumptions- How technology choice, capacity factors, fuel price volatility, and carbon policy affect project economics- Risk identification, quantification, and allocation across construction, operations, and revenue streams- Investment decision frameworks used by utilities, independent power producers, and infrastructure investors- The interaction between policy, market design, and long-term capital allocation in the energy transitionWritten for energy professionals, analysts, investors, and advanced students, this volume prioritizes analytical clarity over promotional framing. It equips readers with the tools to evaluate power plant projects on consistent economic grounds and to understand the trade-offs that drive real-world investment decisions.Oliver J. Thatch brings a focused treatment of the quantitative and strategic questions that determine which power generation assets move from concept to construction, and which do not. …

Taschenbuch. Condition: Neu. Neuware - Reactive Publishing Digital Twin Technology and Process Simulation are transforming how industries design, monitor, and optimize complex physical systems. This book provides a clear and comprehensive exploration of these interconnected technologies and their critical role in the Industry 4.0 era.Readers will gain a solid understanding of how digital twins, virtual replicas of physical assets, processes, and systems, are created, synchronized with real-world data, and used for advanced simulation and predictive analysis. The text covers core modeling principles, simulation techniques, data integration strategies, and the enabling technologies that make digital twins practical at scale.Key topics include: - Fundamentals of digital twin architecture and lifecycle- Process simulation methods for manufacturing, energy, logistics, and infrastructure- Real-time data connectivity and sensor integration- Applications across smart factories, predictive maintenance, and system optimization- Technical challenges and implementation best practices- Future directions for digital twin technology beyond Industry 4.0Written for engineers, technical managers, systems architects, and industry professionals, this book bridges theoretical concepts with practical deployment considerations. Whether you are implementing your first digital twin project or seeking to mature existing capabilities, it offers structured insights into modeling physical systems in increasingly digital environments.A valuable resource for anyone involved in the digital transformation of industrial operations.…

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingBusiness economics sits at the intersection of theory and real-world decision-making. This book examines how core principles from microeconomics and macroeconomics are applied within firms across different industries.Rather than focusing on abstract models alone, Business Economics in Practice connects economic concepts to operational and strategic contexts such as pricing decisions, cost structures, market competition, resource allocation, and responses to economic cycles. Each chapter bridges foundational theory with practical examples drawn from real business environments.Topics include demand and elasticity in pricing strategy, production and cost behavior, market structures and competitive positioning, inflation and interest rate dynamics, and the impact of macroeconomic conditions on firm performance.Designed for university students and early-career professionals, this text provides a structured framework for understanding how economic reasoning is used inside organizations. It can be used alongside coursework or as a standalone reference for developing applied economic intuition in business settings.…

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingWhen global powers impose economic sanctions, trade does not stop, it shifts into the dark.Pipelines and Pariahs: Economic Sanctions, Energy Weapons, and the Shadow Market pulls back the curtain on the hidden mechanics of modern geopolitical warfare. From clandestine ship-to-ship oil transfers on the high seas to front companies laundering billions through off-shore financial networks, this book provides a comprehensive analysis of how rogue states, cartels, and state-backed actors circumvent international restrictions.Author Oliver J. Thatch breaks down the complex intersection of global energy infrastructure and covert finance, exploring key topics including: - Energy as a Weapon: How state actors leverage natural gas and crude oil flow to force political concessions and bypass western isolation.- The Architecture of Sanctions: The structural mechanics of trade bans, financial freezes, and enforcement bottlenecks in international law.- The Shadow Fleet & Black Markets: The hidden logistics network of unregistered tankers, flag-swapping vessels, and illicit supply routes keeping pariah states afloat.- Economic Retaliation: The unintended consequences of financial sanctions, from regional supply shocks to the acceleration of de-dollarization.Rigorous, timely, and deeply researched, Pipelines and Pariahs is an essential breakdown for foreign policy experts, energy analysts, and readers seeking to understand the hidden financial undercurrents shaping today's world order.…

Taschenbuch. Condition: Neu. Neuware - Reactive Publishing In 1920, America launched one of the most ambitious social experiments in its history: the total prohibition of alcohol. What began as a moral crusade to purify the nation quickly became a nationwide laboratory of unintended consequences.The Dry Experiment examines how the ban on liquor fueled an explosion of organized crime, systemic corruption, and the quiet unraveling of the very institutions meant to enforce it. From the rise of bootlegging empires and the transformation of street gangs into sophisticated criminal syndicates, to the bribery of police, politicians, and judges, the book traces the cascade of effects that turned a 'noble experiment' into a national scandal.Drawing on court records, contemporary journalism, and the lived experience of the era, Oliver J. Thatch shows how Prohibition did not simply fail, it actively reshaped American society. Speakeasies flourished, violence escalated, public respect for the law eroded, and the economic incentives of the black market proved stronger than moral rhetoric. By the early 1930s the experiment had collapsed under the weight of its own contradictions, culminating in the Twenty-First Amendment and a permanent shift in the relationship between government, vice, and the public.Clear-eyed and unsentimental, The Dry Experiment offers a tightly focused account of how a well-intentioned policy produced crime, corruption, and institutional failure on a scale few had anticipated-and lessons that still echo today.…

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingMean-Field Games for Algorithmic Trading and Market Equilibrium explores the application of mean-field game theory to modern financial markets. This book presents a rigorous framework for modeling large populations of interacting agents, price formation, and strategic behavior in high-frequency and algorithmic trading environments.Readers will learn how to formulate and solve mean-field games, analyze Nash equilibria in competitive market settings, and implement scalable simulations using Python and JAX. The text bridges advanced mathematical theory with practical computational methods, covering topics such as differential games, optimal control in finance, and large-scale agent-based modeling.Key Features: - Mathematical foundations of mean-field games and their relevance to market microstructure- Numerical methods for solving high-dimensional game systems with JAX- Implementation of interacting agent models and equilibrium computation- Applications to algorithmic trading strategies and market equilibrium analysisWritten for quantitative researchers, financial engineers, and graduate students in applied mathematics, operations research, or computational finance, this book provides both theoretical insights and working code examples for building sophisticated market simulation models.This is a technical reference focused on clarity, mathematical precision, and reproducible computational approaches. …

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingFinancial systems are complex adaptive networks where shocks propagate through balance sheets, institutions, and sovereigns in non-linear ways. Understanding and modeling these dynamics is now a core requirement for central banks, regulators, macro-prudential analysts, and market participants operating in a post-GFC environment defined by volatility, leverage, and structural fragility.Financial Stability & Systemic Risk Modeling with Python provides a comprehensive framework for modeling systemic risk using empirical data, network-based contagion mechanics, macro-prudential stress testing, and sovereign-bank feedback loops. Readers learn how to construct, simulate, and interpret systemic stress scenarios and translate them into operational insights for policy analysis, investment strategy, and risk management.Topics include: - Balance sheet-based contagion modeling and network spillovers- Stress testing frameworks across banks, sovereigns, corporates, and funds- Macro-prudential capital buffers, procyclicality, and regulatory triggers- Sovereign-bank doom loops and fiscal-financial feedback channels- Cross-border contagion and currency-denominated liabilities- Funding markets, collateral chains, and liquidity crunch dynamics- Agent-based systemic simulations for non-linear shock propagation- Market microstructure stress factors (volatility, basis spreads, fragmentation)- Early warning indicators for financial instability- Python implementations of core systemic models and simulation pipelinesDesigned for practitioners, researchers, and advanced students in finance, economics, and risk management, the book integrates real-world datasets, empirical calibration, and executable Python models. By bridging academic rigor with applied modeling, it equips readers to evaluate systemic vulnerabilities, stress test financial architecture, and foresee how shocks can cascade through an interconnected global economy.This is not a theoretical textbook. It is a modeling playbook for understanding financial stability under uncertainty, where the cost of misjudging contagion is measured in crises. …

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingPractical Socratic Reasoning: Aristotelian Tools for Clear Thinking Today offers a focused introduction to two enduring traditions of inquiry and applies them to the demands of contemporary life.The book begins with the Socratic method, questioning assumptions, clarifying definitions, and testing claims through disciplined dialogue. It then integrates core Aristotelian concepts, including the structure of arguments, the identification of fallacies, the distinction between different types of knowledge, and the practical syllogism as a tool for deliberate action.Readers will find clear explanations of key ideas such as dialectic, demonstration, induction, and the analysis of premises, presented without unnecessary technical jargon. Each chapter connects classical principles to everyday situations: evaluating news and online claims, making sound personal decisions, improving discussions, and recognizing weak or manipulative reasoning.The approach is practical rather than purely historical. Emphasis is placed on usable habits of thought that can be applied immediately, with examples drawn from common modern contexts. The result is a concise guide for anyone seeking greater precision, intellectual honesty, and clarity in their thinking.Suitable for students, professionals, and general readers interested in critical reasoning. …

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingApplied Macroeconomic Simulation with Python is a practical guide to building, testing, and interpreting computational macroeconomic models using Python. Designed for advanced students, economists, analysts, researchers, and technically minded finance professionals, this book focuses on the modeling tools used to study economic systems, policy shocks, market dynamics, and structural uncertainty.The book introduces core approaches to macroeconomic simulation, including DSGE modeling, agent-based systems, numerical methods, calibration, sensitivity analysis, and policy stress testing. Readers will learn how computational models can be used to examine inflation, output, employment, monetary policy, fiscal policy, financial instability, and broader economic interactions.Rather than treating macroeconomics as a purely theoretical discipline, this book emphasizes implementation. It shows how Python can be used to construct models, run simulations, analyze outcomes, and compare different policy scenarios. Topics are presented with a focus on clarity, reproducibility, and practical application.Inside, readers will explore: DSGE model structure and simulation logicAgent-based approaches to heterogeneous economic behaviorPolicy stress testing and scenario designCalibration, shocks, and sensitivity analysisNumerical tools for solving and simulating macroeconomic systemsPython workflows for economic modeling and interpretationThis book is suitable for readers who already have a basic understanding of economics, statistics, and Python, and who want to move into more advanced computational macroeconomic analysis. It is not a shortcut or a promise of forecasting certainty. Instead, it provides a structured foundation for building models, testing assumptions, and studying how complex economies respond to changing conditions.…

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingAdvanced Bayesian Macroeconomics with Python provides a rigorous, hands-on treatment of modern Bayesian methods applied to macroeconomic modeling and policy analysis.This book bridges advanced macroeconomic theory with practical implementation in Python. It focuses on hierarchical Bayesian models, nowcasting techniques, and real-time decision frameworks that allow economists and researchers to incorporate uncertainty, update beliefs with new data, and support timely policy decisions.What You Will Find Inside: - Detailed coverage of hierarchical Bayesian models for macroeconomics- Practical nowcasting methods using Bayesian approaches- Real-time policy decision frameworks that integrate high-frequency and mixed-frequency data- Complete Python code examples using libraries such as PyMC, NumPy, Pandas, and ArviZ- Model diagnostics, prior selection, and posterior analysis tailored to macroeconomic applications- Techniques for handling large-scale datasets and computational efficiencyWritten for graduate students, academic researchers, central bank economists, and quantitative analysts, this book assumes familiarity with intermediate macroeconomics, Bayesian statistics, and basic Python programming. It emphasizes clarity, reproducibility, and technical precision over superficial applications.Whether you are building models for forecasting, conducting structural analysis, or supporting real-time policy work, this book offers the tools and code necessary to implement advanced Bayesian methods in professional macroeconomic research.…

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingUnprecedented climate variability and extreme weather events present significant financial exposure for energy producers, agricultural operations, and institutional investors. Weather & Climate Derivatives provides a rigorous, hands-on analysis of how non-catastrophic weather risks are quantified, priced, and hedged using financial contracts.Written for quantitative analysts, risk managers, and commodity traders, this comprehensive volume bridges the gap between meteorological data modeling and practical financial engineering.What You Will Learn: - Contract Structures: Detailed coverage of Heating Degree Day (HDD), Cooling Degree Day (CDD), Cumulative Precipitation, and index-based weather options and swaps.- Quantitative Pricing Models: Practical methodologies for valuing non-standard derivatives using historic meteorological data, burn analysis, daily temperature dynamics, and Monte Carlo simulations.- Basis Risk Mitigation: Strategies to identify, measure, and minimize geographical, structural, and volume basis risk between derivative hedges and physical exposures.- Sector-Specific Applications: Real-world case studies demonstrating hedging execution in power generation, natural gas distribution, renewable energy, and crop yield protection.- Risk Management Integration: Frameworks for integrating climate derivatives into broader corporate enterprise risk management (ERM) and portfolio strategies.Whether you are designing custom hedging solutions or managing exposure to volumetric risk, this text delivers the mathematical foundations and market conventions required to navigate the growing market for climate-linked financial instruments.…

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingCompetition Economics and Antitrust Modeling with Python is a practical guide to analyzing market structure, firm behavior, pricing power, merger effects, and industrial organization using modern computational methods.Designed for economists, analysts, policy researchers, consultants, students, and technically minded professionals, this book shows how Python can be used to model real-world competition questions with greater clarity and precision. Readers are introduced to the economic foundations of market power, demand estimation, price competition, concentration measures, platform markets, merger simulation, and regulatory analysis.The book bridges theory and implementation. Instead of treating antitrust economics as a purely legal or conceptual subject, it demonstrates how core ideas can be translated into reproducible analytical workflows. Topics include market definition, Herfindahl-Hirschman Index calculations, pricing models, elasticity estimation, differentiated product competition, merger impact analysis, entry barriers, platform dynamics, and policy-oriented scenario testing.Inside, readers will learn how to: Analyze market concentration and competitive structureModel pricing behavior and strategic firm interactionEstimate demand, elasticity, and consumer responseSimulate merger effects and potential competitive harmApply Python to industrial organization and antitrust questionsBuild transparent models for economic policy and regulatory analysisThis book is especially useful for readers who want to move beyond abstract theory and develop practical tools for competition analysis. It provides a structured path from economic concepts to applied Python models, helping readers understand how market power forms, how firms compete, and how regulators evaluate competitive outcomes.Competition Economics and Antitrust Modeling with Python is a technical but accessible resource for anyone working at the intersection of economics, data analysis, regulation, consulting, and computational modeling. …

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingEconomic systems are shaped by complex cause-and-effect relationships that traditional correlation-based models often fail to capture. Structural Causal Economics with Python introduces a rigorous, modern framework for understanding economic mechanisms using structural causal models, graph-based reasoning, and counterfactual simulation.This book bridges the gap between academic causal inference theory and real-world economic modeling. Readers learn how to move beyond prediction into explanation, policy testing, and scenario design using practical Python implementations. The focus is on building models that reflect how economic systems actually behave under intervention, shock, and policy change.Inside, you will learn how to: - Build and interpret causal graphs for economic systems- Design structural models that capture real economic mechanisms- Perform counterfactual analysis to evaluate alternative policy scenarios- Simulate policy interventions and measure downstream effects- Implement causal modeling workflows using modern Python tools- Connect causal inference methods to macroeconomic and microeconomic applicationsRather than treating economic data as purely statistical signals, this book teaches you how to model the underlying structure that generates economic outcomes. The result is more robust forecasting, clearer policy insight, and deeper strategic understanding.Written for quantitative economists, policy analysts, data scientists, and advanced finance professionals, this book assumes familiarity with Python and core economic concepts. It is designed as both a practical implementation guide and a conceptual reference for structural causal economic modeling.If you want economics models that explain why outcomes happen, not just what happens next, this book provides the tools and framework to build them.…

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingEconometrics of Text and Large Language Models with Python presents practical methods for applying econometric techniques to unstructured text data using modern language models.The book focuses on three core tasks: measuring latent concepts from text, generating predictions from textual sources, and conducting causal inference with unstructured data. It shows how to move from raw text to reliable quantitative results while maintaining the standards of econometric rigor.Readers will find clear explanations of the underlying statistical principles alongside working Python implementations. Topics include text representation, embedding-based measurement, predictive modeling with language models, and strategies for identifying causal effects when the primary data source is text. Emphasis is placed on validation, robustness checks, and the practical limits of these methods.This book is written for applied researchers, data scientists, and quantitative analysts who work with textual data and need reproducible, transparent approaches grounded in econometrics. It assumes familiarity with basic statistics and Python but does not require prior expertise in natural language processing or large language models.By combining established econometric frameworks with current language model tools, the book provides a structured path for extracting meaningful, verifiable insights from unstructured text.…

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingHealthcare Economics with Python is a practical guide to analyzing healthcare systems through data, models, and economic reasoning. Designed for readers who want to connect healthcare policy, insurance structures, cost analysis, and outcome measurement with applied Python workflows, this book explains how economic questions can be explored using structured data and reproducible code.The book introduces core concepts in healthcare economics, including cost behavior, utilization, reimbursement, insurance design, risk pooling, health outcomes, and policy evaluation. It then shows how Python can be used to organize datasets, build analytical models, compare scenarios, visualize patterns, and interpret results in a healthcare context.Readers will learn how to examine healthcare spending, model patient or population-level outcomes, evaluate insurance-related variables, and work with policy-relevant data. The emphasis is on practical analytical thinking rather than abstract theory alone, making the material useful for students, analysts, researchers, policy professionals, and technically minded readers entering the healthcare data field.Inside, you will find coverage of: Healthcare cost structures and spending patternsOutcome measurement and comparative analysisInsurance concepts, risk pools, and reimbursement logicPolicy data interpretation and scenario modelingPython workflows for cleaning, analyzing, and visualizing healthcare dataApplied examples that connect economics, healthcare systems, and quantitative methodsHealthcare Economics with Python provides a structured foundation for using data analysis to better understand the economic forces shaping healthcare systems.…

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingBridging the Gap Between Financial Theory and Physical Market RealitiesEnergy trading operates under strict physical constraints that traditional financial modeling often ignores. In Commodity & Power Market Quantitative Analytics, Oliver J. Thatch delivers a rigorous framework designed specifically for the unique mechanics of power grids, regional commodity hubs, and complex energy derivatives.This comprehensive volume moves beyond abstract pricing equations to address the actual operational friction faced by quantitative analysts, risk engineers, and trading desks, from grid congestion and non-storable power dynamics to extreme price volatility and spatial basis risk.Key Topics Covered: - Physical Constraints & Grid Mechanics: Incorporating transmission limits, unit commitment friction, non-storability, and generation dispatch into pricing models.- Quantitative Risk Engineering: Modeling non-Gaussian price distributions, sudden spike risks, negative pricing events, and volumetric uncertainty.- Energy Trading Systems: Constructing robust valuation frameworks for swing options, virtual power plants, spatial basis spreads, and cross-border interconnectors.- Advanced Econometric Methods: Implementing mean-reverting jump-diffusion models, regime-switching techniques, and structural supply-demand curve modeling.Whether you are building valuation pipelines, optimizing asset dispatch, or managing exposure in volatile prompt markets, this book provides the mathematical foundations and practitioner-focused insights required to engineer resilient trading and risk systems.Essential reading for Quantitative Analysts, Energy Risk Managers, Commodity Structurers, and Trading Systems Engineers. …

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingThis book provides a comprehensive and practical treatment of advanced Bayesian econometrics using Python. It bridges modern machine learning techniques with traditional econometric modeling, offering detailed guidance on implementing state-of-the-art Bayesian methods for complex economic problems.Readers will learn how to integrate deep learning priors, perform variational inference, work with Gaussian processes, and implement scalable MCMC algorithms tailored for high-dimensional economic models. The text emphasizes computational efficiency and practical application, addressing the challenges of estimation, uncertainty quantification, and model comparison in large-scale economic data.Key topics include: - Bayesian inference with neural network priors- Variational methods for fast posterior approximation- Gaussian process regression in econometric contexts- Scalable MCMC techniques for high-dimensional parameter spaces- Model selection, prediction, and policy analysis under uncertainty- End-to-end Python implementations using contemporary librariesWritten for graduate students, researchers, and practitioners in economics, finance, and data science, this book assumes familiarity with intermediate statistics, Python programming, and basic Bayesian concepts. All methods are demonstrated with reproducible code examples that translate directly to real-world economic modeling tasks.Clear explanations, mathematical derivations where needed, and practical coding guidance make this an essential resource for those seeking to move beyond standard econometric toolkits into more flexible and powerful Bayesian frameworks.…

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingSports economics sits at the intersection of microeconomic theory, public policy, and institutional design. This book provides a clear and rigorous examination of the core theoretical frameworks, key policy instruments, and institutional architectures that shape modern sports markets.Readers will explore foundational economic models applied to professional leagues, player labor markets, broadcasting rights, sponsorship, and public stadium financing. The text analyzes how institutions, governing bodies, regulatory frameworks, and incentive structures, influence outcomes in areas such as competitive balance, revenue distribution, and long-term industry stability.Written for economists, policymakers, sports administrators, and advanced students, Sports Economics: Theory, Policy, and Institutional Architecture bridges academic insight with real-world application. It offers structured analysis rather than prescriptive solutions, equipping readers with the analytical tools needed to understand and evaluate sports-related economic decisions.Key Topics Include: - Economic theory applied to sports industries- Labor economics and player compensation systems- Public policy and the role of government in sports- Institutional design and governance challenges- Revenue models, broadcasting, and commercial structuresThis volume is ideal for those seeking a serious, evidence-based treatment of the economic forces that drive one of the world's most dynamic and culturally significant sectors.…

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingBehind the shirts we wear and the textiles we trade lies a highly automated, global web that shapes our modern economy.In The White Grid, author Oliver J. Thatch provides a fascinating, deeply researched look into the modern cotton industry, a sector quietly driven by advanced robotics, complex supply logistics, and shifting geopolitical power. Moving far beyond traditional agriculture, this book uncovers how the global cotton trade operates as a hyper-efficient, technologically advanced machine.Through crisp economic analysis and compelling industry insights, you will explore: - The Automation Frontier: How artificial intelligence, automated harvesting, and high-tech spinning mills have revolutionized production.- Global Supply Networks: The intricate pathways raw cotton travels across continents before arriving on retail shelves.- The Modern Marketplace: The financial systems, commodity trading strategies, and economic forces driving global textile prices.Perfect for economists, supply chain professionals, and anyone curious about the unseen networks of global commerce, The White Grid offers a clear-eyed look at the triumphs, vulnerabilities, and future of modern manufacturing. …

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingGenerative Economic Agents introduces a groundbreaking framework for simulating realistic market behavior using multi-agent systems powered by large language models (LLMs).In this technical guide, you will discover how to design, build, and evaluate generative economic agents that interact within complex market environments. Moving beyond traditional equation-based models, the book explores how LLM-driven agents can exhibit emergent behaviors, adaptive strategies, and realistic decision-making under uncertainty-capabilities essential for rigorous market behavioral testing.What You'll Learn- Core principles of generative agents in economic contexts- Architecting multi-agent LLM simulations for market dynamics- Techniques for modeling agent cognition, interaction protocols, and strategic adaptation- Methods for designing controlled experiments to test market hypotheses- Validation approaches, performance metrics, and techniques to mitigate hallucination and bias in agent behavior- Implementation patterns in Python for scalable simulation environmentsWritten for quantitative researchers, AI practitioners, algorithmic traders, and economists, this book bridges the gap between cutting-edge language model technology and practical market simulation. Whether you are exploring policy impacts, testing trading strategies, or investigating emergent market phenomena, Generative Economic Agents provides the conceptual foundations and technical tools needed to construct sophisticated, behaviorally rich economic simulations.Clear, code-supported, and focused on reproducible results, this work equips readers to move from theoretical exploration to functional market testing environments.…

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingOvercome the limit of traditional machine learning in financial markets by moving from pattern recognition to true cause-and-effect modeling.Standard statistical and machine learning models excel at detecting correlations in historical market data. However, when market regimes shift, correlation-based strategies frequently break down, leading to catastrophic overfitting and severe drawdown. Applied Causal AI for Algorithmic Trading and Quantitative Strategy Design introduces a rigorous framework for building trading algorithms grounded in structural causal models (SCMs).By modeling the structural mechanics driving price action rather than relying on surface-level correlations, quantitative researchers and algorithmic traders can build strategies that remain resilient across changing market conditions.Inside this book, you will discover: - Foundations of Causal Inference in Finance: Understand directed acyclic graphs (DAGs), structural causal models, and do-calculus applied specifically to high-frequency and daily market data.- Refining Feature Engineering: Identify true causal drivers of asset returns while eliminating spurious correlations and confounders that lead to backtest overfitting.- Counterfactual Backtesting: Test trading strategies against alternative market scenarios and stress-tests using structural interventions rather than simple historical replay.- Regime Shift Resilience: Build adaptive risk management and position-sizing algorithms designed to detect and adjust to structural breaks in real time.- Practical Implementation: Implement end-to-end Python workflows integrating causal discovery algorithms with standard quantitative finance libraries.Whether you are a quantitative portfolio manager, financial engineer, or independent systematic trader, this guide provides the theoretical foundations and practical tools required to deploy robust, cause-driven algorithmic trading strategies.…

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingModern digital markets, from automated ad exchanges and cloud resource allocation to high-frequency auctions, rely on rigorous economic frameworks. Algorithmic Mechanism Design and Auction Theory with Python bridges the gap between theoretical microeconomics and practical software implementation.Designed for data scientists, quantitative developers, and economists, this comprehensive guide demonstrates how to engineer incentive-compatible systems, design optimal auctions, and deploy automated bidding strategies using modern Python tools.What You Will Learn- Core Auction Theory: Implement English, Dutch, First-Price, and Second-Price (Vickrey) auctions with deterministic and strategic bidding agents.- Incentive Alignment: Build and simulate Vickrey-Clarke-Groves (VCG) mechanisms to achieve social welfare maximization and truthfulness.- Algorithmic Bidding: Train automated bidding strategies using dynamic programming, numerical optimization, and basic multi-agent reinforcement learning.- Market Dynamics: Analyze combinatorial auctions, revenue optimization, and counter-strategies against bid shading and collusive behavior.PrerequisitesBasic proficiency in Python and foundational knowledge of linear algebra and probability are recommended. No prior background in formal economics is required, all necessary theoretical concepts are built from first principles.…

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware - Reactive PublishingBridge the gap between rigorous mathematical theory and practical quantitative implementation.Stochastic Calculus for Financial Engineers delivers a clean, unified pathway from foundational measure theory to production-ready Python code. Designed for financial engineers, quantitative analysts, and graduate students, this text strips away unnecessary academic abstraction to focus on the core mathematical machinery required to model, price, and hedge complex derivative contracts.Rather than treating theoretical probability and algorithmic execution as separate disciplines, this guide demonstrates how measure-theoretic foundations directly inform numerical stability and computational efficiency in modern trading environments.Inside, you will master: - Measure-Theoretic Foundations: Build a rigorous understanding of probability spaces, filtration, conditioning, and martingales without getting lost in pure-math proofs.- Stochastic Integration: Transition from Brownian motion and Itô calculus to multidimensional Itô's Lemma with practical financial applications.- Partial Differential Equations (PDEs): Connect the Feynman-Kac theorem to parabolic PDEs, boundary conditions, and finite difference schemes for option pricing.- Python Implementation: Translate continuous-time stochastic models into robust vectorized Python code using modern scientific computing libraries.- Numerical Methods & Simulation: Implement Monte Carlo frameworks, variance reduction techniques, and lattice models for path-dependent and American-style options.Whether you are preparing for quantitative finance interviews, transitioning from software engineering into mathematical finance, or building production pricing models, this book provides the exact balance of theoretical depth and programmatic execution you need. …

Condition: New. Print on Demand.

Condition: New. Print on Demand.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.