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Raithatha S: The Impact of Select
Commodities and US Indices on Nifty 50

The Impact of Select Commodities and US Indices on Nifty 50 Index

Novel Six Sigma DMAIC Approaches to Project Risk Assessment and Management

Aus der Reihe: e-fellows.net stipendiaten-wissen

Cognitive and Algorithmic Bias Dynamics

Capital Market Investment Decisions under Artificial Intelligence Assistance

This book examines the impact of artificial intelligence on competition and antitrust in today's global digital economy. It scrutinizes the economic and legal ramifications of Artificial Intelligence (AI), addressing the challenges it presents to competition and the law.
Beginning with an analysis of AI's developments across various economic sectors, the book highlights the need for updated legislation. It focuses on the digital economy, emphasizing digital platforms' role in shaping competition. Econometric investigations and a novel index assess competition's influence on foreign direct investment and multinational enterprises. Comparing competition practices across jurisdictions like the EU, US, Germany, and China, the book uncovers commonalities and differences in competition law principles. It also explores various theories on competition and competition law, seeking convergence or divergence.

This book is an essential resource for scholars, legal professionals,policymakers, and anyone seeking a better understanding of how AI is reshaping competition and antitrust in the digital age.

Economic and Legal Perspectives in the Digital Age

Artificial Intelligence and Competition

Investor behavior, shaped by cognitive and emotional biases, significantly impacts the dynamics of financial markets, often leading to deviations from traditional theories of market efficiency and rational decision-making. As markets are increasingly driven by human psychology rather than purely economic fundamentals, understanding these biases is crucial for explaining anomalies. Recognizing the influence of investor sentiment and behavioral patterns can provide valuable insights for improving investment strategies, risk management, and financial policymaking. By addressing the psychological factors that drive investor decisions, we can better understand the complexities of market behavior and work toward creating more resilient and stable financial systems. Unveiling Investor Biases That Shape Market Dynamics explores the psychological underpinnings of investor behavior and their implications for financial markets. By integrating empirical research with theoretical insights, this volume provides a comprehensive understanding of how cognitive, emotional, and social biases manifest in investment decisions and contribute to market inefficiencies. Covering topics such as accounting, investment strategy, and social media influence, this book is an excellent resource for researchers, doctoral students, academicians, portfolio managers, financial analysts, policymakers, and more.

Unveiling Investor Biases That Shape Market Dynamics

How can you manage the complex threats that can cause financial, operational and reputational damage to the business? This practical guide shows how to implement a successful cyber security programme.
 
 The second edition of Cyber Risk Management covers the latest developments in cyber security for those responsible for managing threat events, vulnerabilities and controls. These include the impact of Web3 and the metaverse on cyber security, supply-chain security in the gig economy and exploration of the global, macroeconomic conditions that affect strategies. It explains how COVID-19 and remote working changed the cybersecurity landscape. Cyber Risk Management presents a data-centric approach to cyber risk management based on business impact assessments, data classification, data flow modelling and assessing return on investment. It covers pressing developments in artificial intelligence, machine learning, big data and cloud mobility, and includes advice on dealing with malware, data leakage, insider threat and Denial-of-Service. With analysis on the innate human factors affecting cyber risk and awareness and the importance of communicating security effectively, this book is essential reading for all risk and cybersecurity professionals.

Learn how to prioritize threats, implement a cyber security programme and effectively communicate risks.

Prioritize Threats, Identify Vulnerabilities and Apply Controls

Cyber Risk Management

In this book, we will present and apply methods speci¿cally designed to model the ¿nancial market, but, before starting to discuss the models, we need to make a brief introduction to the data that we will be working with.
Our data consists on ¿nancial asset prices from several stock exchanges, with special attention to the New York Stock Exchange, the London Stock Exchange and the Lisbon Stock Exchange. Also, we focused on stock and forex (foreign exchange market) prices, because these present higher volatility and volume (i.e., more trades), and the data related to these assets is easier to obtain. Here, volatility is a statistical measure of the dispersion of returns for a given ¿nancial asset. It is often measured as either the standard deviation or variance between returns from that same asset.
Moving further we will often use the terms ¿stock exchange¿ and ¿¿nancial market¿ interchange-ably, but they slightly di¿er. The term ¿¿nancial market¿ broadly refers to any marketplace where the trading of securities occurs, including the stock market, bond market, forex market, and derivatives market, among others, whilst the ¿stock exchange¿ is a facility where stockbro-kers and traders can buy and sell securities, such as shares of stock, bonds and other ¿nancial instruments. However, whenever we refer to the ¿nancial market we will be referring to the stock exchange.

Unveiling the Financial Market: Data, Definitions, and Modeling Techniques

Springer Proceedings in Mathematics & Statistics

This volume presents contemporary research in stochastic modeling, statistical inference and their applications, and collects peer-reviewed contributions presented at the 15th Workshop on Stochastic Models, Statistics and Their Applications, SMSA 2024, held in Delft, The Netherlands, March 13-15, 2024. It brings together a unique mix of authors, working on theoretical and applied problems, and addresses a wide variety of topics from the workshop’s focus areas, which included Bayesian methods, change point analysis, computational statistics, econometrics, high-dimensional, nonparametric and spatial statistics, statistical process monitoring, statistics for stochastic processes, and sequential and time series analysis. The volume is structured in three parts, covering stochastics and statistical theory, statistical inference and machine learning, and testing for patterns in data. The contributions discuss highly active research topics, such as strong approximation in high dimensions, modeling and testing multivariate distributions, the interplay and fusion of statistical ideas and machine learning, approaches to handling discrete and ordinal data, and detection of hidden patterns in data, with applications to environmental science, business and engineering.

SMSA 2024, Delft, The Netherlands, March 13-15

Stochastic Models, Statistics and Their Applications

Supply chain disruptions emerge as a significant driver of global inflation, particularly in the aftermath of pandemics, geopolitical tensions, and climate-related events. These disruptions, ranging from factory shutdowns and shipping delays to shortages of raw materials and labor, have strained the flow of goods and services across international markets. As supply disruptions limit the availability of products, costs rise throughout the production and distribution chains, fueling price increases for consumers and businesses. The resulting pressures challenge central banks, policymakers, and corporations, underscoring the interconnectedness of global trade and the vulnerabilities in complex supply networks. Supply Chain Disruptions and Impact on Global Inflation explores how supply chain disruptions, caused by pandemics, geopolitical conflicts, natural disasters, labor shortages, and technological failures, affect pricing mechanisms and contribute to inflationary pressures. It examines the interplay between supply chain fragility and macroeconomic stability. This book covers topics such as geopolitics, market volatility, and trade wars, and is a useful resource for policymakers, business owners, economists, academicians, researchers, and scientists.

Supply Chain Disruptions and Impact on Global Inflation

Geopolitical realignment, climate disruption, demographic shifts, and technological transformation present risks with no historical precedent. Pension systems are breaking under the weight of aging populations. Semiconductor production concentrates in a single geopolitical flashpoint. AI is reshaping everything from energy demand to the future of work to the waging of war.&nbsp;
These are not future risks. They exist now. Yet our current approaches toward risk cannot see them, leaving institutions exposed when these transformations strike.&nbsp;
This open access book presents a fundamental reimagining of how we manage risk. It demonstrates that material risks cannot be reduced to statistics or confined to financial markets. They are rooted in the physical world: supply chains, demographic realities, geography, and human behavior.&nbsp;
The transformation occurs across five dimensions:&nbsp;
Financial to Physical
Material constraints drive markets, not the reverse.&nbsp;
Statistical to Structural
Dependencies matter more than correlations.&nbsp;
Static to Dynamic
Systems adapt as participants respond to them.&nbsp;
Mechanical to Human
Interpretation, reflexivity, and contingency shape outcomes.&nbsp;
Numbers to Narratives
Decisions happen in conversations, not spreadsheets.&nbsp;
Essential reading for chief risk officers, asset owners and allocators, policymakers and anyone responsible for navigating risks that are reshaping economies and societies.

Geopolitical realignment, climate disruption, demographic shifts, and technological transformation present risks with no historical precedent. Pension systems are breaking under the weight of aging populations. Semiconductor production concentrates in a single geopolitical flashpoint. AI is reshaping everything from energy demand to the future of work to the waging of war.These are not future risks. They exist now. Yet traditional models cannot see them; historical market returns offer no guidance. Worse, they create false confidence that leaves institutions exposed when transformation strikes.This open access book presents a re-conception of how we think about and manage risk. Drawing on the author's experience as chief risk officer at major financial institutions, it demonstrates that risk cannot be reduced to statistics or confined to financial markets. It emerges from physical structure and unfolds through dynamics that cannot be reduced to equations.The transformation occurs across five dimensions:
 Financial → Physical
 
 Material constraints drive markets, not the reverse.
 
 Statistical → Structural
 
 Dependencies matter more than correlations.
 
 Static → Dynamic
 
 Systems adapt as participants respond to them.
 
 Mechanical → Human
 
 Interpretation, reflexivity, and contingency shape outcomes.
 
 Numbers → Narratives
 
 Decisions happen in conversations, not spreadsheets.
 Simple, adaptive rules outperform sophisticated optimization. Narrative reasoning—whether through discussion, scenario analysis, or tools like large language models—produces more actionable intelligence than mathematical models when confronting unprecedented change.This book is essential reading for chief risk officers, asset allocators, family offices, policymakers and anyone responsible for navigating risks that are reshaping economies and societies.

The Impact of Select Commodities and US Indices on Nifty 50 Index

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