분산원장과 탈중앙화 인프라
분산원장과 탈중앙화 물리 인프라 네트워크: 운영, 금융 안정성, 거버넌스 리스크.
3
Financial stability risk · Cyber risk · Technology concentration risk.
66
3 index domains
22
Frontier and exponential technology · Information and cyber-physical systems.
113
Financial risk · Cyber, AI and frontier technology.
Scope and questions
The subject of this index is proposed by NXS-GRX (canonical data, provenance and risk); the Nexus Reports edition with the same code sets its own subject at commissioning, and any difference is recorded as a crosswalk.
- Where do ledgers touch essential services?
- What financial-stability channels exist?
- How is failure governed?
Domain indices to the series index
The series index is the expert-weighted geometric mean of its domain indices, with the intervals and class rule of the methodology.
How the Distributed ledgers and decentralised infrastructure index is built
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금융 안정 리스크Domain index · IDX · FINExpert-weighted Mazziotta–Pareto aggregation of the six financial sub-indices and the MAC macroeconomic instability sub-index, each on 0–10, with a penalty for unbalanced profiles.
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사이버 리스크Domain index · IDX · CYBIndex of cyber incident pressure, digital dependence and the lack of cyber capability on a 0–10 scale, higher meaning riskier.
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기술 집중 리스크Domain index · IDX · TECIndex of technology dependence, critical-mineral dependence and, inverted, innovation capacity and biosecurity oversight, on a 0–10 scale, higher meaning riskier.
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Distributed ledgers and decentralised infrastructure indexSeries index · SERIES · XT-17분산원장과 탈중앙화 물리 인프라 네트워크: 운영, 금융 안정성, 거버넌스 리스크.
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Country readingsOutput · OUTPUT · 195 profilesPublished with intervals and classes when the edition is released.
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Regional readingsOutput · OUTPUT · 5 regionsPublished with intervals and classes when the edition is released.
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Global readingOutput · OUTPUT · population or exposure weightedPublished with intervals and classes when the edition is released.
Domain indices in this series
| 지수 | 값 | 변화 | 변화 % | 90% 구간 | 등급 · 확률 | 추세 | 범위 |
|---|---|---|---|---|---|---|---|
금융 안정 리스크NXS-GRX · FIN |
– | – | – | – | – | ||
사이버 리스크NXS-GRX · CYB |
– | – | – | – | – | ||
기술 집중 리스크NXS-GRX · TEC |
– | – | – | – | – |
Domains read: Financial system, Technology and frontier, Cyber and digital.
66 indicators in scope
Every indicator whose primary or secondary domain is in scope, with unit, levels and crosswalks to source code lists.
| 지표 | 영역 | Sub-domain | 구성 요소 | 단위 | 단계 | Crosswalks |
|---|---|---|---|---|---|---|
위험가중자산 대비 규제자본IND.FIN.capital.regulatory_capital_rwa |
FIN | Capital adequacy | coping capacity | % |
COUNTRY | IMF_FSI FSKRC_PT |
위험가중자산 대비 기본자본(Tier 1)IND.FIN.capital.tier1_rwa |
FIN | Capital adequacy | coping capacity | % |
COUNTRY | IMF_FSI FSKRTC_PT |
위험가중자산 대비 보통주자본(CET1)IND.FIN.capital.cet1_rwa |
FIN | Capital adequacy | coping capacity | % |
COUNTRY | IMF_FSI FSCET_PT |
총자산 대비 자본(레버리지)IND.FIN.capital.capital_to_assets |
FIN | Capital adequacy | coping capacity | % |
COUNTRY | IMF_FSI FSKA_PT WB_WDI FB.BNK.CAPA.ZS |
자본 대비 충당금 차감 후 부실대출IND.FIN.capital.npl_net_capital |
FIN | Capital adequacy | vulnerability | % |
COUNTRY | IMF_FSI FSKNL_PT |
총대출 대비 부실대출IND.FIN.asset_quality.npl_ratio |
FIN | Asset quality | vulnerability | % |
COUNTRY | IMF_FSI FSANL_PT WB_WDI FB.AST.NPER.ZS |
부실대출 대비 충당금IND.FIN.asset_quality.provisions_to_npl |
FIN | Asset quality | coping capacity | % |
COUNTRY | IMF_FSI FSPN_PT |
경제활동별 대출 집중도IND.FIN.asset_quality.loan_concentration |
FIN | Asset quality | vulnerability | % |
COUNTRY | IMF_FSI FSCLE_PT |
은행의 일반정부 대상 채권, 은행 자산 대비 비율IND.FIN.asset_quality.sovereign_exposure |
FIN | Asset quality | vulnerability | % |
COUNTRY | IMF_FSI FSASDG_PT |
총자산이익률IND.FIN.earnings.roa |
FIN | Earnings | coping capacity | % |
COUNTRY | IMF_FSI FSERA_PT |
자기자본이익률IND.FIN.earnings.roe |
FIN | Earnings | coping capacity | % |
COUNTRY | IMF_FSI FSERE_PT |
총자산 대비 유동자산IND.FIN.liquidity.liquid_assets_total |
FIN | Liquidity and funding | coping capacity | % |
COUNTRY | IMF_FSI FSLT_PT WB_WDI FD.RES.LIQU.AS.ZS |
단기부채 대비 유동자산IND.FIN.liquidity.liquid_assets_st_liabilities |
FIN | Liquidity and funding | coping capacity | % |
COUNTRY | IMF_FSI FSLS_PT |
유동성커버리지비율IND.FIN.liquidity.lcr |
FIN | Liquidity and funding | coping capacity | % |
COUNTRY | IMF_FSI FSLCR_PT |
순안정자금조달비율IND.FIN.liquidity.nsfr |
FIN | Liquidity and funding | coping capacity | % |
COUNTRY | IMF_FSI FSNSF_PT |
은행 간 대출 제외 총대출 대비 고객 예금IND.FIN.liquidity.deposits_to_loans |
FIN | Liquidity and funding | coping capacity | % |
COUNTRY | IMF_FSI FSCD_PT |
자본 대비 순외환포지션(절댓값)IND.FIN.fx.net_open_position_capital |
FIN | Foreign-exchange risk | vulnerability | % |
COUNTRY | IMF_FSI FSSNO_PT |
외화대출, 총대출 대비 비율(대출 달러화)IND.FIN.fx.fx_loans_share |
FIN | Foreign-exchange risk | vulnerability | % |
COUNTRY | IMF_FSI FSFC_PT |
외화예금, 총예금 대비 비율(예금 달러화)IND.FIN.fx.fx_deposits_share |
FIN | Foreign-exchange risk | vulnerability | % |
COUNTRY | IMF_FSI FSFCD_PT |
민간부문 국내신용, GDP 대비 비율IND.FIN.depth.private_credit.gdp |
FIN | Financial depth and inclusion | context | % |
COUNTRY | WB_WDI FS.AST.PRVT.GD.ZS WB_WDI GFDD.DI.14 |
신용/GDP 갭(BIS)IND.FIN.depth.credit_gap |
FIN | Financial depth and inclusion | vulnerability | % |
COUNTRY | |
민간부문 신용의 실질 증가율IND.FIN.depth.private_credit_growth |
FIN | Financial depth and inclusion | vulnerability | % |
COUNTRY | IMF_FSI FSCGPS_PT |
가계부채, GDP 대비 비율IND.FIN.depth.household_debt.gdp |
FIN | Financial depth and inclusion | vulnerability | % |
COUNTRY | IMF_FSI FSHG_PT |
비금융기업 부채, GDP 대비 비율IND.FIN.depth.nfc_debt.gdp |
FIN | Financial depth and inclusion | vulnerability | % |
COUNTRY | IMF_FSI FSTDGDP_PT |
계좌 보유율, 성인IND.FIN.depth.account_ownership |
FIN | Financial depth and inclusion | coping capacity | % |
COUNTRY | WB_WDI FX.OWN.TOTL.ZS SDG 8.10.2 |
실질 주택가격 상승률IND.FIN.housing.real_house_price_growth |
FIN | Real estate | vulnerability | % |
COUNTRY | IMF_FSI FSREPRR_PC_CP_A_PT |
소득 대비 주택가격 비율, 장기 평균과의 편차IND.FIN.housing.price_to_income_gap |
FIN | Real estate | vulnerability | % |
COUNTRY, CITY | |
기타 금융기관 자산, GDP 대비 비율IND.FIN.nbfi.ofc_assets.gdp |
FIN | Non-bank financial intermediation | context | % |
COUNTRY | IMF_FSI FSFAG_PT |
보험 침투율(GDP 대비 보험료)IND.FIN.nbfi.insurance_penetration |
FIN | Non-bank financial intermediation | coping capacity | % |
COUNTRY | WB_WDI GFDD.DI.09 WB_WDI GFDD.DI.10 |
자연재해 보장 격차IND.FIN.nbfi.nat_cat_protection_gap |
FIN | Non-bank financial intermediation | vulnerability | % |
REGION, COUNTRY | |
탄소 집약 부문에 대한 은행 노출IND.FIN.climate_finance.carbon_intensive_exposure |
FIN | Climate-related financial exposure | exposure | % |
COUNTRY | |
높은 물리적 기후 리스크에 노출된 은행 대출IND.FIN.climate_finance.physical_risk_lending |
FIN | Climate-related financial exposure | exposure | % |
COUNTRY | |
핵심 광물 순수입 의존도IND.ECO.concentration.critical_minerals_import_reliance |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | |
Assets vulnerable to climate-related physical risks, shareIND.CLI.physical_acute.physical_risk_vulnerable_assets.share |
CLI | Acute climate extremes | exposure | % |
SITE, PORTFOLIO | IFRS_S2 29(c) |
Financed emissions of a portfolioIND.CLI.emissions.financed_emissions |
CLI | Emissions | exposure | Mt/a |
PORTFOLIO | IFRS_S2 29(a)(vi) |
Assets vulnerable to climate-related transition risks, shareIND.CLI.transition.transition_risk_vulnerable_assets.share |
CLI | Transition exposure | exposure | % |
PORTFOLIO | IFRS_S2 29(b) |
자연 의존도가 높은 부문의 GDP, 비율IND.ENV.nature_dependence.nature_dependent_gdp.share |
ENV | Nature dependence | exposure | % |
COUNTRY, PORTFOLIO | |
기준 물 스트레스 점수(소유역)IND.WAT.stress.baseline_water_stress |
WAT | 물 스트레스 | hazard | {score} |
COUNTRY, ADM1, CITY, GRID, SITE, PORTFOLIO | |
핵심 광물 수입 공급처 집중도IND.ENE.minerals.critical_mineral_import_concentration |
ENE | Critical minerals | vulnerability | 1 |
COUNTRY | |
인터넷 이용자IND.INF.digital.internet_users |
INF | Digital connectivity | coping capacity | % |
COUNTRY, ADM1, CITY | SDG 17.8.1 WB_WDI IT.NET.USER.ZS |
국제 연결 경로 이중화IND.INF.digital.international_connectivity_redundancy |
INF | Digital connectivity | coping capacity | 1 |
COUNTRY | |
전국 규모 인터넷 장애 시간IND.INF.digital.internet_disruption_hours |
INF | Digital connectivity | impact | h/a |
COUNTRY | |
ITU 글로벌 사이버보안 지수 점수IND.CYB.capability.gci_score |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Overall score |
ITU 글로벌 사이버보안 지수 등급IND.CYB.capability.gci_tier |
CYB | Cyber capability | vulnerability | {class} |
COUNTRY | ITU_GCI Tier |
ITU GCI 법적 조치 기둥IND.CYB.capability.gci_legal |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Legal Measures |
ITU GCI 기술적 조치 기둥IND.CYB.capability.gci_technical |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Technical Measures |
ITU GCI 조직적 조치 기둥IND.CYB.capability.gci_organizational |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Organizational Measures |
ITU GCI 역량 개발 조치 기둥IND.CYB.capability.gci_capacity_development |
CYB | Cyber capability | adaptive capacity | {score} |
COUNTRY | ITU_GCI Capacity Development Measures |
ITU GCI 협력 조치 기둥IND.CYB.capability.gci_cooperation |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Cooperation Measures |
국가 컴퓨터 침해사고 대응팀 운영 여부IND.CYB.capability.national_cert |
CYB | Cyber capability | coping capacity | {bool} |
COUNTRY | ITU_GCI Technical Measures |
개인정보 보호 법률 시행 여부IND.CYB.capability.data_protection_law |
CYB | Cyber capability | coping capacity | {bool} |
COUNTRY | ITU_GCI Legal Measures |
인구 100만 명당 중대 사이버 사고IND.CYB.incidents.significant_incident_rate |
CYB | Incidents | hazard | /10*6/a |
COUNTRY | |
핵심 서비스를 방해한 사이버 사고IND.CYB.incidents.critical_sector_incidents |
CYB | Incidents | impact | 1 |
COUNTRY | |
ICT 서비스 부가가치, GDP 대비 비율IND.CYB.dependence.ict_services_share.gdp |
CYB | Digital dependence | exposure | % |
COUNTRY | WB_WDI BX.GSR.CCIS.ZS |
전자정부 발전도IND.CYB.dependence.egovernment_development |
CYB | Digital dependence | exposure | {score} |
COUNTRY | |
국내 총 R&D 지출, GDP 대비 비율IND.TEC.capability.rd_expenditure.gdp |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | SDG 9.5.1 WB_WDI GB.XPD.RSDV.GD.ZS |
주민 100만 명당 연구원 수IND.TEC.capability.researchers_per_million |
TEC | Technology capability | adaptive capacity | /10*6 |
COUNTRY | SDG 9.5.2 WB_WDI SP.POP.SCIE.RD.P6 |
첨단기술 수출, 제조업 수출 대비 비율IND.TEC.capability.high_tech_exports |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | WB_WDI TX.VAL.TECH.MF.ZS SDG 9.b.1 |
반도체 수입 공급처 집중도IND.TEC.concentration.semiconductor_import_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
클라우드 인프라 제공자 집중도IND.TEC.concentration.cloud_provider_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
외국 또는 단일 제공자가 통제하는 AI 컴퓨팅 역량IND.TEC.ai.ai_compute_foreign_control |
TEC | 인공지능 | vulnerability | % |
COUNTRY | |
파운데이션 모델 제공자 집중도IND.TEC.ai.foundation_model_concentration |
TEC | 인공지능 | vulnerability | % |
COUNTRY | |
고위험 밀폐 실험실의 생물안전 및 생물보안 감독IND.TEC.bio.biosecurity_lab_oversight |
TEC | 생명공학 | coping capacity | {score} |
COUNTRY | |
국가 재해 리스크 이전 한도, GDP 대비 비율IND.CRS.financing.risk_transfer_cover.gdp |
CRS | Risk financing and protection gap | coping capacity | % |
COUNTRY | |
자연재해 보험 보장 격차IND.CRS.financing.insurance_protection_gap |
CRS | Risk financing and protection gap | vulnerability | % |
COUNTRY | |
손해보험 보험료, GDP 대비 비율IND.CRS.financing.non_life_insurance_penetration |
CRS | Risk financing and protection gap | coping capacity | % |
COUNTRY |
Hazard families this series reads
families, each crosswalked to the UNDRR–ISC Hazard Information Profiles (2025) where a profile exists.
| 계열 | 영역 | 재해 | Count |
|---|---|---|---|
| AI system failure and misalignment | 첨단 및 기하급수적 기술 | AI malfunction in a critical service, Out-of-distribution model failure, Correlated failure of shared AI models, Reliance on fabricated AI output, Specification gaming and reward hacking, Deceptive or strategically misaligned AI, Loss of human control over advanced AI, AI self-replication and exfiltration … | 11 |
| AI security and model supply chain | 첨단 및 기하급수적 기술 | Theft of frontier model weights, Backdoored AI model, AI model supply-chain compromise, Prompt injection against AI agents, AI-enabled cyber offence, Attack on AI compute infrastructure, Adversarial manipulation of machine learning | 7 |
| AI misuse and capability uplift | 첨단 및 기하급수적 기술 | AI uplift for biological weapons, AI uplift for chemical weapons, Synthetic media at scale, Non-consensual synthetic intimate imagery, AI-driven mass persuasion, AI-enabled mass surveillance and repression, AI-enabled seizure or entrenchment of power, Malicious use of AI | 8 |
| Agentic AI acting at scale | 첨단 및 기하급수적 기술 | Runaway autonomous agent action, Multi-agent interaction cascade, Algorithmic market flash crash, Human deskilling and over-reliance on AI, Gradual human disempowerment by AI, Autonomous agent overreach | 6 |
| Algorithmic decision and structural harm | 첨단 및 기하급수적 기술 | Harmful automated decision-making, Clinical AI error, Rapid AI-driven labour displacement, Concentration of frontier AI capability, Competitive AI race and safety erosion, Degradation of the shared knowledge base, Recommender-system amplification harm, Harm from AI companions and chatbots … | 12 |
| Robotics, autonomy and autonomous weapons | 첨단 및 기하급수적 기술 | Lethal autonomous weapon use, Drone swarm attack, Weaponised small drone attack, Drone intrusion into protected airspace, AI-accelerated military escalation, AI in nuclear command, control and warning, Industrial and service robot injury, Autonomous vehicle system failure … | 10 |
| 생명공학과 합성생물학 | 첨단 및 기하급수적 기술 | Engineered pandemic pathogen, Dual-use research of concern, Benchtop DNA synthesis misuse, Biological design tool misuse, Automated biofoundry accident, Gene drive escape, Engineered organism escape into the environment, Mirror-image organism creation or release … | 10 |
| Nanotechnology and advanced materials | 첨단 및 기하급수적 기술 | Engineered nanomaterial exposure, High-aspect-ratio nanofibre inhalation, Nanomaterial accumulation in the environment, Uncontrolled self-replicating nanomachines, Molecular manufacturing arms race | 5 |
| Neurotechnology, human enhancement and extended reality | 첨단 및 기하급수적 기술 | Brain-computer interface failure, Neural device compromise, Neural data exploitation, Cognitive enhancement harm and coercion, Heritable human genome editing harm, Extended-reality physical and psychological harm, Manipulation of augmented perception | 7 |
| Quantum technology and cryptographic transition | 첨단 및 기하급수적 기술 | Cryptographically relevant quantum computer, Harvest-now, decrypt-later collection, Post-quantum migration failure, Quantum sensing erosion of strategic concealment | 4 |
| 기후 개입 기술 | 첨단 및 기하급수적 기술 | Solar geoengineering termination shock, Stratospheric aerosol injection side effects, Marine cloud brightening side effects, Unilateral or rogue geoengineering deployment, Ocean fertilisation side effects, Ocean alkalinity enhancement side effects, Large-scale carbon removal land and water competition, Geological carbon storage leakage … | 11 |
| Space technology and orbital infrastructure | 첨단 및 기하급수적 기술 | Destructive anti-satellite strike, Non-kinetic counterspace attack, Mega-constellation orbital congestion, Constellation-wide service failure, Upper-atmosphere pollution from launches and re-entries, Satellite interference with sky observation, Back-contamination from extraterrestrial samples | 7 |
| Digital infrastructure concentration and monoculture | 첨단 및 기하급수적 기술 | Critical open-source dependency failure, Advanced semiconductor fabrication concentration, Digital identity and trust service failure | 3 |
| Advanced and distributed manufacturing | 첨단 및 기하급수적 기술 | 3D-printed and untraceable firearms, Distributed production of weapon components, Additively manufactured critical part failure | 3 |
| Energy-transition technology failures | 첨단 및 기하급수적 기술 | Lithium battery fire in vehicles and transport, Mass manipulation of connected energy devices, Advanced reactor material security risk, Critical mineral supply concentration | 4 |
| Distributed ledgers and digital assets | 첨단 및 기하급수적 기술 | Smart-contract and oracle exploit | 1 |
| Malicious compromise | 정보 및 사이버 물리 시스템 | Malware outbreak, Ransomware attack, Data breach, Persistent intrusion, Denial-of-service attack, Software or hardware supply-chain compromise, Social-engineering campaign, Online harassment campaign … | 9 |
| Information-integrity attacks | 정보 및 사이버 물리 시스템 | Disinformation campaign, Data and model integrity attack, Election infrastructure attack, Public record tampering, Misinformation surge and infodemic, Hazardous information disclosure | 6 |
| Cyber-physical disruption | 정보 및 사이버 물리 시스템 | Industrial control system compromise, Power-grid cyberattack, Transport control-system attack, Health-system cyberattack, Medical device compromise, Water utility cyberattack, Building systems compromise, Mass connected-device manipulation … | 11 |
| Signal and platform disruption | 정보 및 사이버 물리 시스템 | Satellite-navigation disruption, Major cloud or platform outage, Internet routing or naming failure, Subsea cable damage, Payment system outage, Radio-spectrum interference, Digital public infrastructure failure | 7 |
| Identity, trust and cryptographic failure | 정보 및 사이버 물리 시스템 | Identity provider compromise, Signing key or certificate compromise, Certificate or credential expiry outage, Cryptographic algorithm or implementation break, Mass account takeover, National digital identity system failure | 6 |
| Systemic cyber events | 정보 및 사이버 물리 시스템 | Defective update mass outage, Mass vulnerability exploitation, Connected-device botnet, Managed service provider compromise, Firmware or hardware backdoor, Insider threat, Cyber theft from financial infrastructure, Irrecoverable data loss … | 9 |
Method libraries
Each method has a reference implementation or declares the specialist model, data or adapter it still needs; none is promoted beyond its evidence.
금융 리스크
Probability of Default · Loss Given Default · Exposure at Default · Expected Credit Loss · Unexpected Credit Loss · Credit Migration · Structural Credit Merton …
사이버, AI, 프런티어 기술
Cyber Attack Surface · Exploitability · Threat Likelihood · Cyber Asset Criticality · Intrusion Propagation · Ransomware Risk · Identity Compromise …
Who uses it
Regulators, supervisors and central banks
Design supervisory scenarios. Read systemic coupling. Replicate methods.
Banks, asset managers and sovereign investors
Read sovereign and systemic context. Run climate pathway packs. Build portfolio postures.
Governments and national risk agencies
Prioritise prevention and preparedness. Plan with subnational layers. Track Sendai targets. Co-develop a national index.
Nexus Reports
- Edition code
XT-17- Edition status
- 계획
- 주제
- Set by Nexus Reports at commissioning
인용과 재사용
- Series key
grix:SER.XT-17:{ISO3}:{YEAR}:A- Domain keys
nis:IDX.FIN.capital.financial_stability_risk:{ISO3}:{YEAR}:Anis:IDX.CYB.capability.cyber_risk:{ISO3}:{YEAR}:Anis:IDX.TEC.concentration.technology_concentration_risk:{ISO3}:{YEAR}:A
상태
Global Risks Index의 방법론, 구조, 정의는 검토와 의견 수렴을 위해 배포된 예비 작업 초안(2026)이며 이행용이 아닙니다. 관리되는 근거 마감에 따라 판이 공개되기 전까지는 어떠한 값도 표시되지 않으며, 공개 후 값에는 구간, 등급, 출처, 정정 경로가 함께 표시됩니다. 시뮬레이터는 귀하가 선택한 숫자에 공개된 방법을 적용할 뿐이며 NXS-GRX 값을 표시하지 않습니다.
NXS-GRX가 아닌 것
NXS-GRX는 연구 및 리스크 분석 정보입니다. 신용등급이나 ESG 등급이 아니며 등급 척도를 사용하지 않고, 금융상품의 벤치마크도, 공식 통계도, 긴급 경보나 공식 분류도, 자문도 아닙니다. 자연인 평가에 사용해서는 안 됩니다. 리스크 등급은 공개된 척도 위의 구간이며, 국가나 사람의 순위가 결코 아닙니다.
기관과 출처
The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.
모든 값에는 출처 표시가 함께 제공되며, 각 출처는 고유한 라이선스를 유지합니다. 외부 명칭은 상호운용성을 위해서만 인용됩니다. Nexus가 작성한 텍스트는 공개 시 CC BY 4.0 적용을 예정합니다.
Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.