Blockchain Papers

Xrp Archetict

Systematic Risk of Bitcoin in 2026 and what the future of bitcoin will look like.

Ahmad Bilal Khan

KENOS — Kohenoor Operating System Official Description and Public Disclosure KENOS, the Kohenoor Operating System, is the unified digital operating environment of the Kohenoor ecosystem. It brings together artificial intelligence, Education 3.0, blockchain infrastructure, hybrid finance, business applications, development tools, governance controls and operational supervision within one coordinated ecosystem. <Explainer film added> The transition from KENHYFI Hub to the broader KENOS architecture reflects the continued expansion of the Kohenoor ecosystem. KENHYFI was originally developed as a hybrid-finance and ecosystem hub. However, the name and positioning of KENHYFI did not fully represent the wider capabilities that had developed around it, particularly: KAI — Kohenoor Artificial Intelligence, the ecosystem’s multilayered intelligence powerhouse and orchestration system. ProEdge, the Education 3.0, professional learning and workforce-development hub. Blockchain, development, commerce, security, governance and institutional-support applications extending beyond hybrid finance. For this reason, KENOS was established as the umbrella operating environment for the complete ecosystem. KENHYFI remains an important integrated hub within KENOS, but it no longer represents the entire ecosystem by itself. The relationship is therefore defined as follows: KENOS is the complete Kohenoor Operating System and umbrella ecosystem. KAI is the principal intelligence and orchestration powerhouse of KENOS. ProEdge is the principal Education 3.0 and professional-learning hub. KENHYFI is the integrated hybrid-finance and ecosystem-services hub within KENOS. Other applications and modules provide specialized capabilities in blockchain, commerce, development, security, finance and operational management. KENOS is built on three foundational pillars: Education 3.0 Artificial Intelligence Blockchain These pillars support the complete digital-economic journey: Learn → Plan → Build → Execute → Analyze → Supervise → Improve → Scale Artificial Intelligence Pillar KAI, Kohenoor Artificial Intelligence, serves as the principal intelligence powerhouse of KENOS. KAI is designed as a multilayered hybrid-intelligence and workflow-orchestration system rather than a conventional chatbot. It supports knowledge retrieval, document analysis, specialist-role activation, business intelligence, financial analysis, educational guidance, application planning, risk assessment, reporting, workflow coordination and Human-in-the-Loop escalation. Within KENOS, KAI connects users, knowledge, applications, workflows and authorized human decision-makers. Education 3.0 Pillar ProEdge serves as the principal learning and professional-development hub within KENOS. It supports practical education, workforce transformation, professional training, institutional capacity building and industry-linked learning in areas including: Artificial intelligence Blockchain and Web3 Business intelligence Cybersecurity Hybrid finance Digital transformation Communication and professional skills Software and application development Entrepreneurship and business execution ProEdge ensures that KENOS is not limited to providing technology. It also develops the human capability required to understand, manage and apply that technology effectively. Blockchain Pillar The blockchain pillar provides smart contracts, programmable assets, digital ownership, transparent records, settlement mechanisms, token utilities and verifiable ecosystem operations. Blockchain functions are designed to operate alongside KAI-supported intelligence, business rules, governance controls and authorized human supervision. Purpose of KENOS KENOS is designed to support individuals, professionals, businesses, educational institutions, developers, government entities and other organizations participating in the AI-powered digital economy. It connects learning with intelligence, intelligence with execution and execution with monitoring and supervision. KENOS may support: Education and professional development Artificial intelligence and business intelligence Financial and hybrid-finance services Blockchain and smart-contract development Digital commerce and procurement Application and software development Security and operational resilience Governance and institutional intelligence Reporting, monitoring and supervision Development Status At the time of this publication: KENOS is in the Early Beta phase. KENHYFI Hub is in the Alpha+ phase. Individual applications and modules may have different levels of development, testing and availability. The official public web host and disclosure gateway for KENOS is: https://www.kohenoor.net Within the KENOS architecture: KAI serves as the principal intelligence and orchestration layer. KENHYFI Hub operates as an integrated hybrid-finance and ecosystem services hub. Education 3.0 platforms support learning, reskilling and professional development. Blockchain applications provide smart-contract, digital-asset, settlement and verification capabilities. Business and development modules support planning, commerce, procurement, software development, financial intelligence, security, reporting and operational management. KENOS is intended to serve individuals, professionals, businesses, educational institutions, developers, government organizations and other entities participating in the AI-powered digital economy. The architecture is modular and may support public web access, controlled organizational deployments, private-cloud environments, local installations, sovereign infrastructure and integration with existing enterprise systems. Governance remains a core element of KENOS. High-stakes activities are intended to remain subject to authorized human review, role-based permissions, validation controls, risk classification, activity logging and Human-in-the-Loop approval. At the time of this publication, KENOS is in the Early Beta phase, while KENHYFI Hub is in the Alpha+ phase. Applications and modules within the ecosystem may therefore have different levels of development, testing, availability and production readiness. The official public web host and disclosure gateway for KENOS is: https://www.kohenoor.net This publication provides the official conceptual definition, ecosystem positioning, service scope, architectural relationships, development status, governance principles and public-disclosure framework of KENOS. Keywords: KENOS; Kohenoor Operating System; Kohenoor Technologies; KAI; Kohenoor Artificial Intelligence; KENHYFI; Education 3.0; artificial intelligence; blockchain; hybrid finance; digital economy; business intelligence; digital transformation; smart contracts; Human-in-the-Loop; ecosystem architecture; AI governance; Web3; enterprise AI; institutional intelligence Kohenoor Technologies remains committed to transparency, security, responsible disclosure, and continuous improvement of the KEN ecosystem. #kenhyfi #kai #hyfi #kohenoortechnologies #futureofeducation #futureoffinance #futureofai #kohenoorken #cryptocurrencies #kohenoorken #AI #actionai #agenticai #AGI #ArtificialGeneralIntelligenceAGI #AIAssistant #education3 #defi #hybridfinance #hyfi #cedefi #blockchain #innovation #settlements #auditreadycertificates #DASC #cybersecurity #web3 #businessintelligence #proedge #industrygradetrainings #quantumcomputing

Ahmad Bilal Khan

KEN-HyFi Operating System is a comprehensive architecture for the AI-powered digital economy, integrating hybrid finance, artificial intelligence, digital commerce, education, security, tokenized settlement, and business intelligence into a unified operational framework. The system is designed to bridge traditional and blockchain-based infrastructures while enabling intelligent automation, transparent governance, and scalable digital asset operations across public, private, and institutional environments. Education 3.0, AI and HyFi are the three pillars of the Kohenoor Ecosystem where Education is the enabler and this perhaps is the only way to transform the world into a more productive and future-embracing place. This document presents a defensive technical disclosure describing a Hybrid-Finance (HyFi) CeDeFi operational infrastructure developed by Kohenoor Technologies. The architecture integrates Education 3.0, Multilayered Hybrid Intelligence Engine and programmable decentralized settlement execution, supervised decision processes, structured governance control, and workforce operational enablement into a coordinated financial operating framework. The system is intended to enable organizations to operate blockchain-based financial processes as recurring business operations rather than isolated transactions. It defines coordinated operational layers consisting of settlement mapping, intelligence interpretation, supervised decision execution, and human operational readiness. The disclosure documents the research progression, implementation embodiments, architectural definitions and phase by phase auditing of the system and is published to establish publicly verifiable prior art. The referenced implementations illustrate functional embodiments and do not limit the architecture to any specific network, software platform, or digital asset. Also attached herewith is the executive overview of Kohenoor Ecosystem R&D, finalized after seven years of rigorous research, testing, and model refinement. Lead Researcher: Ahmad Bilal Khan, Founder of Kohenoor Technologies and principal architect of the KAI Alpha+ framework. Complete architecture of KEN-HyFi Operating System for the AI-powered digital economy.A unified hybrid-finance infrastructure connecting settlement, intelligence, token utility, automation, education, commerce, security, and Web3 development across the Kohenoor ecosystem. 12 Ecosystem Apps - High impact AI-driven workflows - HITL escalation - Training & capacity building for the new era (Latest state MD attached with timestamp) Lead Researcher: Ahmad Bilal Khan, Founder of Kohenoor Technologies and principal architect of the KEN-HYFI Alpha+ framework. ORCID Profile A cryptographic timestamp proof accompanies this publication to attest to the existence of the document at the time of disclosure. Explore Ecosystem Hub (Alpha+): kenhyfi.kohenoor.tech Permanent KENOS URL (Beta and Full) starting July 01, 2026: www.kohenoor.net KAI-Super Model gets ready for controlled Enterprise delivery after deep runtime testing on May 28, 2026. KAI starts delivering in controlled environment on the 01st day of June, 2026. There is currently no super agentic model orchestrating workflows across 12 ecosystem apps, equipped with 25 skills and performing 11 key roles. Innovation locked at Beta hardening phase II! # KAI Public Disclosure Presentation Contains the public disclosure presentation for Kohenoor AI (KAI), based on the architecture locked beta hardening backup. The presentation introduces KAI as a role governed multilayered intelligence runtime for institutional decision support. It summarizes the system architecture, model orchestration strategy, RAG and memory discipline, runtime intelligence layer, governance gates, HITL controls, deployment models, and technical review agenda. This document is intended for public, academic, technical, and institutional review purposes. Kohenoor (KEN) the native payments and settlement utility token of Kohenoor Ecosystem is now a part of the key instruments subject to public disclosure. Contract file is shared publicly. https://etherscan.io/token/0x5f602133653237f362eb69826ba8237f4f7ab0c3#code Legacy KEN (Testnet) burn register is publicly disclosed for information and verification. KEN Audit Summary added for public review: Kohenoor KEN Smart Contract Audit Update Kohenoor KEN has completed a full audit by Freshcoins, receiving an Excellent Trust Score of 90.83. In addition to the Freshcoins audit, independent security scans from GoPlus and CertiK Token Scan also show strong supporting results. GoPlus reports 0 risky items and 0 attention items, while CertiK Token Scan shows a score of 85.50, with key checks passed including no honeypot risk detected, no mintable function detected, 0% buy tax, 0% sell tax, no blacklist function, and no whitelist function. The repeated alert across some scanners relates mainly to holder concentration and ownership status. This is expected at the current stage because a major portion of KEN supply is locked, reserved, or allocated for ecosystem development, treasury, liquidity, migration, and phased distribution. Independent legal opinion supporting KEN’s utility-token classification assessment is also attached. Kohenoor Technologies remains committed to transparency, security, responsible disclosure, and continuous improvement of the KEN ecosystem. Keywords: #kenhyfi #kai #hyfi #kohenoortechnologies #futureofeducation #futureoffinance #futureofai #kohenoorken #cryptocurrencies #kohenoorken #AI #actionai #agenticai #AGI #ArtificialGeneralIntelligenceAGI #AIAssistant #education3 #defi #hybridfinance #hyfi #cedefi #blockchain #innovation #settlements #auditreadycertificates #DASC #cybersecurity #web3 #businessintelligence #proedge #industrygradetrainings #quantumcomputing

Kazunori Ohumi

Why does the pursuit of "correct answers" and optimization suffocate modern organizations in the AI era? This paper analyzes Uniqlo (Fast Retailing) not merely as an excellent company, but as a "Generative Circular Enterprise" that structurally refuses to crystallize. It serves as a survival manifesto using Universal Phase Crystallization Theory (UPCT) to shift corporate OS from static management to dynamic Generativity. Highlights The Shift in Era: Contrasts the failure of traditional "S-origin" (Plan-driven) management in the population onus era with Uniqlo's "Φ-origin" (Generation-driven) adaptability. Structural Fluidity: Reveals how the absence of a "Corporate Planning Department" functions as a deliberate mechanism to prevent the fixation of strategy (S) and maintain organizational metabolism. Epistemology of Execution: Reinterprets "1% Plan, 99% Execution" not as spirit, but as a rational cycle of discarding static maps (S) to navigate the fluid reality (Φ). Purpose as OS: Defines "Global One" and "LifeWear" not as static slogans, but as a distributed operating system that enables autonomous decentralized processing. The AI Trap: Warns that using AI for mere optimization shrinks the "basin of attraction," and proposes using AI as a "solvent" to melt rigid structures. Summary Modern corporations face a paradox: the more they utilize data and AI to optimize efficiency, the more they lose vitality and resilience. This paper diagnoses this pathology as the "Curse of Crystallization" defined by Universal Phase Crystallization Theory (UPCT). Traditional organizations fixate on "Correct Answers (S)" derived from past data, creating rigid structures that cannot adapt to the "Generative Flow (Φ)" of the population onus era. Uniqlo (Fast Retailing) presents a counter-model. By reversing the management vector to Φ→G→S, Uniqlo starts with formless will and market intuition, crystallizing them into provisional products only to immediately deconstruct and regenerate them. This "Non-Fixed Structure"—exemplified by the lack of a central planning department and the fluid leadership of Tadashi Yanai—allows the giant enterprise to move with the agility of a startup, constantly surfing the phase transition between order and chaos. Finally, the paper addresses the critical challenge of the Artificial Intelligence era. If AI is used solely to reinforce past success models (S, it accelerates organizational rigidity (the shrinking of the basin of attraction). We argue that the role of human intelligence is to act as a "Generator" that utilizes AI to melt frozen concepts, ensuring the organization remains a living, metabolic system. This is a proposal for shifting from a "Snapshot Ontology" to a "Life-OS" in business management. Author’s Related Works Ohumi, K. (2025). Manifesto of the Life OS: The "It from Wave" Philosophy. Zenodo. https://doi.org/10.5281/zenodo.18106437 Ohumi, K. (2025). A Sampling-Theoretic Reinterpretation of Quantum Uncertainty and Wave Function Collapse. Zenodo. https://doi.org/10.5281/zenodo.18004579 Ohumi, K. (2025). Observation as Operational Crystallization: Resolving Quantum Paradoxes. Zenodo. https://doi.org/10.5281/zenodo.18220191 Ohumi, K. (2025). It from Wave: Phase Propagation as Physical Basis of Information. Zenodo. https://doi.org/10.5281/zenodo.18256968 Ohumi, K. (2025). Ontological Reconstruction of Quasi-Particles. Zenodo. https://doi.org/10.5281/zenodo.18140041 Ohumi, K. (2025). Envelopment over Unification: Recovering Einstein’s Dream. Zenodo. https://doi.org/10.5281/zenodo.18244683 Ohumi, K. (2025). Sampling, Horizons, and Recurrence: Reframing Thermal Pure States and Black Hole Information. Zenodo. https://doi.org/10.5281/zenodo.18364507 Ohumi, K. (2025). π Paradox: Relation-First Information and the Geometry of Meaning. Zenodo. https://doi.org/10.5281/zenodo.18204829 Ohumi, K. (2025). Dark Energy as a Diffusive Phase of a Relational Universe. Zenodo. https://doi.org/10.5281/zenodo.18081786 Ohumi, K. (2025). Envelopment Ethics: Generativity-First Inclusion. Zenodo. https://doi.org/10.5281/zenodo.18256968 Ohumi, K. (2025). Enveloping the Free Will–Determinism Divide. Zenodo. https://doi.org/10.5281/zenodo.18287169 Ohumi, K. (2025). Rationality without Transition. Zenodo. https://doi.org/10.5281/zenodo.18193256 Ohumi, K. (2025). Over-Immune Infosphere: When Protection Becomes Rigidity. Zenodo. https://doi.org/10.5281/zenodo.18149385 Ohumi, K. (2025). The KPI Trap: Over-Optimization and Meaning Collapse. Zenodo. https://doi.org/10.5281/zenodo.18264106 Ohumi, K. (2025). The WGS Model: The Implementation of Generative Governance. Zenodo. https://doi.org/10.5281/zenodo.18308450 Ohumi, K. (2025). Envelopment Integration: Reuniting Ethics, Well-Being, and Value. Zenodo. https://doi.org/10.5281/zenodo.18332397 Ohumi, K. (2025). Resonant Management. Zenodo. https://doi.org/10.5281/zenodo.18162380 Ohumi, K. (2025). Resonant Politics. Zenodo. https://doi.org/10.5281/zenodo.18180888 Ohumi, K. (2025). Demographic Decline and Environmental Crisis as Ontological Outcomes. Zenodo. https://doi.org/10.5281/zenodo.18197092 Ohumi, K. (2025). Population Onus as an Ontological Crisis. Zenodo. https://doi.org/10.5281/zenodo.18356710 Ohumi, K. (2026). Universal Phase Crystallization Theory (UPCT) Phase I: A Unified Resolution of Quantum Paradoxes via Temporal Sampling. Zenodo. https://doi.org/10.5281/zenodo.18230537 Ohumi, K. (2026). A Phase Theory of Intelligence and Mind: Reframing Cognition as Generative–Crystallization Dynamics under Universal Phase Crystallization Theory (UPCT). Zenodo. https://doi.org/10.5281/zenodo.18430732 Ohumi, K. (2026). Universal Phase Crystallization Theory (UPCT) Phase II: A Phase Transition Law for Generative Systems under Measurement Optimization. Zenodo. https://doi.org/10.5281/zenodo.18408708 Ohumi, K. (2026). Why "Correct" Ideologies Freeze Societies: A UPCT-Based Structural Analysis of Ideological Crystallization from Antiquity to the 20th Century. Zenodo. https://doi.org/10.5281/zenodo.18437668 Ohumi, K. (2026). The Silent Revolution of UPCT: The Birth of a New Physics to Thaw a Frozen World A Scientific Manifesto. Zenodo. https://doi.org/10.5281/zenodo.18439197 Ohumi, K. (2026). Civilizational Symmetry Breaking and the Pathology of Granulation under Strong Constraint Toward a Phase-Theoretic Account of Contemporary Crises. Zenodo. https://doi.org/10.5281/zenodo.18467976 Ohumi, K. (2026). From the Crystallized Self to the Generative Field Reclaiming the Observer's Perspective, the Ontological Value of Experience, and the Misalignment of Reason in Modernity. Zenodo. https://doi.org/10.5281/zenodo.18493557 Ohumi, K. (2026). Foundational Principles of Resonance Economics Reorienting Economic Theory from Output Maximization to Generative Sustainability. https://doi.org/10.5281/zenodo.18500861 Ohumi, K. (2026). Integration into the Life-OS Generativity Framework: Hokusai's The Great Wave off Kanagawa as an Ontological Model. https://doi.org/10.5281/zenodo.18505627 Ohumi, K. (2026). From Proof to Resonance: A Φ-Ontology of Existence, Labor, Education, and Economic Life. https://doi.org/10.5281/zenodo.18515955 Ohumi, K. (2026). Dialectics as a Relational Logic of Life: From Linear Ascent to Spiral Circulation. https://doi.org/10.5281/zenodo.18522371 Ohumi, K. (2026). Returning to the Source of Philosophy: Affirmation of Life as the Life-OS and a Radical Point of Departure. https://doi.org/10.5281/zenodo.18529485 Ohumi, K. (2026). Universal Phase Crystallization Theory (UPCT): The Pathology of Optimization and the Restoration of Generativity — Beyond Snapshot Ontology. https://doi.org/10.5281/zenodo.18597207

Siti Epa Hardiyanti

The phenomenon of increasing public interest in investing in crypto assets, especially Bitcoin, has raised major questions about its feasibility and profitability compared to conventional investment instruments such as mutual funds. This study aims to compare the profitability and risk levels between Bitcoin as a cryptocurrency asset and mutual funds as traditional financial instruments. Although Bitcoin has gained increasing popularity as an alternative investment, there remains a lack of empirical research directly comparing its performance with mutual funds over an equivalent time horizon. Using a quantitative approach, this study analyzes historical monthly data from 2015 to 2024. Metrics such as cumulative return, average monthly return, CAGR, Sharpe Ratio, and maximum drawdown were employed to evaluate the performance of both instruments. Positioned within the existing literature on asset comparison, this study offers a novel empirical contribution by directly contrasting Bitcoin and mutual funds through risk-return analysis. The findings reveal that while Bitcoin offers significantly higher returns, it also carries much greater volatility and drawdown risk. These insights serve as a practical foundation for designing investment strategies aligned with different investor risk profiles. The research contributes to the body of knowledge in portfolio management and data-driven investment decision-making. Keywords: Bitcoin, mutual funds, risk-return, volatility, investment performance, portfolio management

Pavel Slutskiy

This article attempts to challenge the argument that bitcoin cannot be owned within a libertarian legal order. According to the contested view, bitcoin, as a digital asset, does not meet the criteria for traditional ownership due to its nonphysical nature as an intangible asset. However, the counterargument presented in the article asserts that people should have property rights over bitcoin due to the facts that the technology behind bitcoin makes it a scarce rivalrous resource and conflicts over the use of bitcoin goods can arise. It is the general function of property rights to avoid possible clashes over the use of scarce, rivalrous resources by assigning rights of exclusive ownership; hence, property rights should extend to bitcoin. The article also discusses the implications of recognizing bitcoin as an ownable scarce resource within a private law society and addresses the challenges associated with penalizing bitcoin theft.

Mamadou Mbaye

The aim of the paper is to analyze the sustainability of cryptocurrency in blockchain technology in African countries for securing financial business transactions. Following the subprime crisis that shook the world economy, a new perception of money has emerged. It is a fully digital currency whose transactions are made through a distributed network. This algorithm-encrypted currency, reputed to be tamper-proof, transparent and inclusive, relies on a distributed network called the Blockchain. By comparison with traditional registers in which operations are paginated and successively recorded, transactions in blockchain technology are aggregated within the chain of blocks. It is decentralized since it is replicated on several geographic sites around the world. It enables peer-to-peer transactions, automated in real-time, reliable, secure, without intermediaries and non-repudiable. To ensure maximum security during financial transactions, blockchain miners use cryptography. This distributed system is, therefore, a major technological innovation capable of securing the financial infrastructure and mitigating failures by reducing operational risks. According to our analysis based on the Merkle tree model and blockchain energy consumption, the sustainability of cryptocurrency is a major issue for developing countries. Especially in Africa, its practicality poses a number of constraints.

Nassim Nicholas Taleb

We apply quantitative finance methods and economic arguments to cryptocurrencies in general and bitcoin in particular -- as there are about $10,000$ cryptocurrencies, we focus (unless otherwise specified) on the most discussed crypto of those that claim to hew to the original protocol (Nakamoto, 2009) and the one with, by far, the largest market capitalization. In its current version, in spite of the hype, bitcoin failed to satisfy the notion of without (it proved to not even be a currency at all), can be neither a short nor long term store of value (its expected value is no higher than $0$), cannot operate as a reliable inflation hedge, and, worst of all, does not constitute, not even remotely, a safe haven for one's investments, a shield against government tyranny, nor a tail protection vehicle for catastrophic episodes. Furthermore, there appears to be an underlying conflation between the success of a payment mechanism (as a decentralized mode of exchange), which so far has failed, and the speculative variations in the price of a zero-sum asset with massive negative externalities. Going through monetary history, we also show how a true numeraire must be one of minimum variance with respect to an arbitrary basket of goods and services, how gold and silver lost their inflation hedge status during the Hunt brothers squeeze in the late 1970s and what would be required from a true inflation hedged store of value.

Darío Alatorre, Carlos Gershenson, José L. Mateos

In contrast with robust systems that resist noise or fragile systems that break with noise, antifragility is defined as a property of complex systems that benefit from noise or disorder. Here we define and test a simple measure of antifragility for complex dynamical systems. In this work we use our antifragility measure to analyze real data from return prices in the stock and cryptocurrency markets. Our definition of antifragility is the product of the return price and a perturbation. We explore different types of perturbations that typically arise from within the system. Our results suggest that for both the stock market and the cryptocurrency market, the tendency among the 'top performers' is to be robust rather than antifragile. It would be important to explore other possible definitions of antifragility to understand its role in financial markets and in complex dynamical systems in general.

Vijay Mohan, Chris Berg, Marta Poblet

No abstract is available for this record.

Marcin Wkatorek, Stanislaw Dro.zd.z, Jarosław Kwapień, Ludovico Minati · 6 authors

The review introduces the history of cryptocurrencies, offering a description of the blockchain technology behind them. Differences between cryptocurrencies and the exchanges on which they are traded have been shown. The central part surveys the analysis of cryptocurrency price changes on various platforms. The statistical properties of the fluctuations in the cryptocurrency market have been compared to the traditional markets. With the help of the latest statistical physics methods the non-linear correlations and multiscale characteristics of the cryptocurrency market are analyzed. In the last part the co-evolution of the correlation structure among the 100 cryptocurrencies having the largest capitalization is retraced. The detailed topology of cryptocurrency network on the Binance platform from bitcoin perspective is also considered. Finally, an interesting observation on the Covid-19 pandemic impact on the cryptocurrency market is presented and discussed: recently we have witnessed a "phase transition" of the cryptocurrencies from being a hedge opportunity for the investors fleeing the traditional markets to become a part of the global market that is substantially coupled to the traditional financial instruments like the currencies, stocks, and commodities. The main contribution is an extensive demonstration that structural self-organization in the cryptocurrency markets has caused the same to attain complexity characteristics that are nearly indistinguishable from the Forex market at the level of individual time-series. However, the cross-correlations between the exchange rates on cryptocurrency platforms differ from it. The cryptocurrency market is less synchronized and the information flows more slowly, which results in more frequent arbitrage opportunities. The methodology used in the review allows the latter to be detected, and lead-lag relationships to be discovered.

Arvind Ashta

No abstract is available for this record.