[None] Analyze areas of potential risk to the assets, earning capacity, or success of organizations.
  DWAs: Assess risks to business operations.

[None] Analyze new legislation to determine impact on risk exposure.
  DWAs: Evaluate applicable laws and regulations to determine impact on organizational activities.

[None] Conduct statistical analyses to quantify risk, using statistical analysis software or econometric models.
  DWAs: Assess risks to business operations.

[None] Confer with traders to identify and communicate risks associated with specific trading strategies or positions.
  DWAs: Confer with others about financial matters.

[None] Consult financial literature to ensure use of the latest models or statistical techniques.
  DWAs: Update professional knowledge.

[None] Contribute to development of risk management systems.
  DWAs: Develop business or financial information systems.

[None] Determine potential environmental impacts of new products or processes on long-term growth and profitability.
  DWAs: Analyze risks related to investments in green technology.

[None] Develop contingency plans to deal with emergencies.
  DWAs: Develop contingency plans to deal with organizational emergencies.

[None] Develop or implement risk-assessment models or methodologies.
  DWAs: Apply mathematical models of financial or business conditions. | Develop financial analysis methods.

[None] Devise scenario analyses reflecting possible severe market events.
  DWAs: Assess risks to business operations.

[None] Devise systems or processes to monitor validity of risk assessments.
  DWAs: Develop business or financial information systems.

[None] Document, and ensure communication of, key risks.
  DWAs: Prepare financial documents, reports, or budgets.

[None] Draw charts and graphs, using computer spreadsheets, to illustrate technical reports.
  DWAs: Create images of data, locations, or products.

[None] Evaluate and compare the relative quality of various securities in a given industry.
  DWAs: Determine the value of goods or services.

[None] Evaluate the risks and benefits involved in implementing green building technologies.
  DWAs: Analyze risks related to investments in green technology.

[None] Evaluate the risks related to green investments, such as renewable energy company stocks.
  DWAs: Analyze risks related to investments in green technology.

[None] Gather risk-related data from internal or external resources.
  DWAs: Gather organizational performance information.

[None] Identify key risks and mitigating factors of potential investments, such as asset types and values, legal and ownership structures, professional reputations, customer bases, or industry segments.
  DWAs: Assess risks to business operations. | Analyze business or financial data.

[None] Inform financial decisions by analyzing financial information to forecast business, industry, or economic conditions.
  DWAs: Apply mathematical models of financial or business conditions. | Analyze business or financial data.

[None] Interpret data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs.
  DWAs: Assess risks to business operations. | Analyze business or financial data.

[None] Maintain input or data quality of risk management systems.
  DWAs: Maintain data in information systems or databases.

[None] Meet with clients to answer queries on subjects such as risk exposure, market scenarios, or values-at-risk calculations.
  DWAs: Educate clients on financial planning topics.

[None] Monitor developments in the fields of industrial technology, business, finance, and economic theory.
  DWAs: Analyze industry trends.

[None] Prepare plans of action for investment, using financial analyses.
  DWAs: Develop financial or business plans.

[None] Produce reports or presentations that outline findings, explain risk positions, or recommend changes.
  DWAs: Present business-related information to audiences.

[None] Provide statistical modeling advice to other departments.
  DWAs: Advise others on analytical techniques.

[None] Recommend investments and investment timing to companies, investment firm staff, or the public.
  DWAs: Recommend investments to clients.

[None] Recommend ways to control or reduce risk.
  DWAs: Advise others on business or operational matters.

[None] Review or draft risk disclosures for offer documents.
  DWAs: Prepare regulatory or compliance documentation.

[None] Track, measure, or report on aspects of market risk for traded issues.
  DWAs: Monitor business indicators. | Present business-related information to audiences.

--- WORK STYLES ---
  Dependability (imp:6.00) — A tendency to be reliable, responsible, and consistent in meeting work-related o
  Attention to Detail (imp:5.00) — A tendency to be detail-oriented, organized, and thorough in completing work.
  Integrity (imp:4.00) — A tendency to be honest and ethical at work.
  Intellectual Curiosity (imp:3.00) — A tendency to seek out and acquire new work-related knowledge and obtain a deep 
  Cautiousness (imp:3.00) — A tendency to be careful, deliberate, and risk-avoidant when making work-related
  Attention to Detail (imp:3.00) — A tendency to be detail-oriented, organized, and thorough in completing work.
  Integrity (imp:2.84) — A tendency to be honest and ethical at work.
  Cautiousness (imp:2.62) — A tendency to be careful, deliberate, and risk-avoidant when making work-related
  Dependability (imp:2.47) — A tendency to be reliable, responsible, and consistent in meeting work-related o
  Achievement Orientation (imp:2.14) — A tendency to establish and maintain personally challenging work-related goals, 
  Intellectual Curiosity (imp:2.00) — A tendency to seek out and acquire new work-related knowledge and obtain a deep 
  Tolerance for Ambiguity (imp:1.95) — A tendency to be comfortable with ambiguity and uncertainty at work.
  Stress Tolerance (imp:1.76) — A tendency to cope and function effectively in stressful situations at work.
  Self-Control (imp:1.73) — A tendency to remain calm and composed and to manage emotions effectively in res
  Perseverance (imp:1.70) — A tendency to exhibit determination and resolve to perform or complete tasks in 
  Adaptability (imp:1.58) — A tendency to be open to and comfortable with change, new experiences, or ideas 
  Self-Confidence (imp:1.38) — A tendency to believe in one's work-related capabilities and ability to control 
  Initiative (imp:1.35) — A tendency to be proactive and take on extra responsibilities and tasks that may
  Innovation (imp:1.28) — A tendency to be inventive, to be imaginative, and to adopt new perspectives on 
  Achievement Orientation (imp:1.00) — A tendency to establish and maintain personally challenging work-related goals, 
  Cooperation (imp:0.95) — A tendency to be pleasant, helpful, and willing to assist others at work.
  Leadership Orientation (imp:0.81) — A tendency to lead, take charge, offer opinions, and provide direction at work.
  Sincerity (imp:0.57) — A tendency to be genuine and sincere in interactions with others at work, withou
  Social Orientation (imp:0.52) — A tendency to seek out, enjoy, and be energized by social interaction at work.
  Innovation () — A tendency to be inventive, to be imaginative, and to adopt new perspectives on 
  Tolerance for Ambiguity () — A tendency to be comfortable with ambiguity and uncertainty at work.
  Initiative () — A tendency to be proactive and take on extra responsibilities and tasks that may
  Adaptability () — A tendency to be open to and comfortable with change, new experiences, or ideas 
  Self-Confidence () — A tendency to believe in one's work-related capabilities and ability to control 
  Perseverance () — A tendency to exhibit determination and resolve to perform or complete tasks in 
  Leadership Orientation () — A tendency to lead, take charge, offer opinions, and provide direction at work.
  Humility () — A tendency to be modest and humble when interacting with others at work.
  Sincerity () — A tendency to be genuine and sincere in interactions with others at work, withou
  Empathy () — A tendency to show concern for others and be sensitive to others' needs and feel
  Cooperation () — A tendency to be pleasant, helpful, and willing to assist others at work.
  Optimism () — A tendency to exhibit a positive attitude and positive emotions at work, even un
  Social Orientation () — A tendency to seek out, enjoy, and be energized by social interaction at work.
  Stress Tolerance () — A tendency to cope and function effectively in stressful situations at work.
  Self-Control () — A tendency to remain calm and composed and to manage emotions effectively in res
  Empathy (imp:-0.05) — A tendency to show concern for others and be sensitive to others' needs and feel
  Optimism (imp:-0.30) — A tendency to exhibit a positive attitude and positive emotions at work, even un
  Humility (imp:-0.65) — A tendency to be modest and humble when interacting with others at work.

--- NATIONAL WAGES ---
  total_employment : 63,850
  annual_median    : $117,330
  annual_pct10     : $64,820
  annual_pct25     : $83,980
  annual_pct75     : $158,250
  annual_pct90     : $196,110
  annual_mean      : $124,420
  hourly_median    : $56.41

--- GEOGRAPHIC DISPERSION ---
  highest_state    : New Hampshire ($158,320)
  lowest_state     : Louisiana ($58,440)
  dispersion_ratio : 2.709x

--- TOP STATES BY WAGE (51 total) ---
  Finance and Insurance                    emp:   41,000  median: $ 126,220
  Management of Companies and Enterprises  emp:    6,700  median: $ 110,090
  Professional, Scientific, and Technical Services emp:    5,770  median: $ 119,550
  Information                              emp:    1,810  median: $ 103,720
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:    1,780  median: $  79,460
  Administrative and Support and Waste Management and Remediation Services emp:    1,370  median: $ 107,620
  Health Care and Social Assistance        emp:    1,000  median: $  97,270
  Wholesale Trade                          emp:      960  median: $  93,180
  Educational Services                     emp:      650  median: $  86,040
  Manufacturing                            emp:      450  median: $ 120,620

--- TOP INDUSTRIES BY EMPLOYMENT (18 total) ---
  Finance and Insurance                    emp:   41,000  median: $ 126,220
  Management of Companies and Enterprises  emp:    6,700  median: $ 110,090
  Professional, Scientific, and Technical Services emp:    5,770  median: $ 119,550
  Information                              emp:    1,810  median: $ 103,720
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:    1,780  median: $  79,460
  Administrative and Support and Waste Management and Remediation Services emp:    1,370  median: $ 107,620
  Health Care and Social Assistance        emp:    1,000  median: $  97,270
  Wholesale Trade                          emp:      960  median: $  93,180
  Educational Services                     emp:      650  median: $  86,040
  Manufacturing                            emp:      450  median: $ 120,620

exact_match_status : found
matched_title      : Financial risk management
match_score        : 0.6667
wikidata_qid       : Q2906013
word_count         : 7,362
wikipedia_url      : https://en.wikipedia.org/wiki/Financial_risk_management
license            : CC BY-SA 4.0
fetched_at         : 2026-06-02T20:17:18.580476Z

--- WIKIPEDIA FULL TEXT ---
Financial risk management is the practice of protecting economic value in a firm by managing exposure to financial risk - principally credit risk and market risk, with more specific variants as listed aside - as well as some aspects of operational risk. As for risk management more generally, financial risk management requires identifying the sources of risk, measuring these, and crafting plans to mitigate them. See Finance § Risk management for an overview.
Financial risk management as a "science" can be said to have been born with modern portfolio theory, particularly as initiated by Professor Harry Markowitz in 1952 with his article, "Portfolio Selection"; see Mathematical finance § Risk and portfolio management: the P world.
The discipline can be qualitative and quantitative; as a specialization of risk management, however, financial risk management focuses more on when and how to hedge, often using financial instruments to manage costly exposures to risk.

In the banking sector worldwide, the Basel Accords are generally adopted by internationally active banks for tracking, reporting and exposing operational, credit and market risks.
Within non-financial corporates, the scope is broadened to overlap enterprise risk management, and financial risk management then addresses risks to the firm's overall strategic objectives.
Insurers manage their own risks with a focus on solvency and the ability to pay claims. Life Insurers are concerned more with longevity and interest rate risk, while short-Term Insurers emphasize catastrophe-risk and claims volatility.
In investment management risk is managed through diversification and related optimization; while further specific techniques are then applied to the portfolio or to individual stocks as appropriate.
In all cases, the last "line of defence" against risk is capital, "as it ensures that a firm can continue as a going concern even if substantial and unexpected losses are incurred".


== Economic perspective ==
Neoclassical finance theory prescribes that (1) a firm should take on a project only if it increases shareholder value. Further, the theory suggests that (2) firm managers cannot create value for shareholders or investors by taking on projects that shareholders could do for themselves at the same cost; see Theory of the firm and Fisher separation theorem.
Given these, there is therefore a fundamental debate relating to "Risk Management" and shareholder value. The discussion essentially weighs the value of risk management in a market versus the cost of bankruptcy in that market: per the Modigliani and Miller framework, hedging is irrelevant since diversified shareholders are assumed to not care about firm-specific risks, whereas, on the other hand hedging is seen to create value in that it reduces the probability of financial distress. 
When applied to financial risk management, this implies that firm managers should not hedge risks that investors can hedge for themselves at the same cost. This notion is captured in the so-called "hedging irrelevance proposition": "In a perfect market, the firm cannot create value by hedging a risk when the price of bearing that risk within the firm is the same as the price of bearing it outside of the firm."
In practice, however, financial markets are not likely to be perfect markets. This suggests that firm managers likely have many opportunities to create value for shareholders using financial risk management, wherein they are able to determine which risks are cheaper for the firm to manage than for shareholders. Here, market risks that result in unique risks for the firm are commonly the best candidates for financial risk management.


== Application ==
As outlined, businesses are exposed, in the main, to market, credit and operational risk. A broad distinction exists though, between financial institutions and non-financial firms - and correspondingly, the application of risk management will differ. Respectively:
For Banks and Fund Managers, "credit and market risks are taken intentionally with the objective of earning returns, while operational risks are a byproduct to be controlled". 
For non-financial firms, the priorities are reversed, as "the focus is on the risks associated with the business" - ie the production and marketing of the services and products in which expertise is held - and their impact on revenue, costs and cash flow, "while market and credit risks are usually of secondary importance as they are a byproduct of the main business agenda". 
(See related discussion re valuing financial services firms as compared to other firms.)
In all cases, as above, risk capital is the last "line of defence".


=== Banking ===

Banks and other wholesale institutions face various financial risks in conducting their business, and how well these risks are managed and understood is a key driver
behind profitability, as well as of the quantum of capital they are required to hold.
Financial risk management in banking has thus grown markedly in importance since the 2008 financial crisis.
(This has given rise to dedicated degrees and professional certifications.)
The broad distinction between Investment Banks, on the one hand, and Commercial and Retail Banks on the other, carries through to the management of risk at these institutions.
Investment Banks profit from  trading - proprietary and flow -  and earn fees from structuring and deal making; the latter includes listing securities so as to raise funding in the capital markets (and supporting these thereafter), as well as directly providing debt-funding for large corporate "projects".
The major focus for risk managers here is therefore on market- and (corporate) credit risk.
Commercial and Retail Banks, as deposit taking institutions, profit from the spread between deposit and loan rates.
The focus of risk management is then on loan defaults from individuals or businesses (SMEs), and on having enough liquid assets to meet withdrawal demands; market risk concerns, mainly, the impact of interest rate changes on net interest margins.
All banks will focus also on operational risk, impacting here (at least) through regulatory capital;
(large) banks are also exposed to Macroeconomic systematic risk - risks related to the aggregate economy the bank is operating in
(see Too big to fail).
Central to both commercial and investment banking is the function of maturity transformation,  where institutions fund long-term assets using short-term liabilities. Commercial banks typify this by issuing demand deposits (which can be withdrawn at any time) to fund long-dated assets like mortgages, while investment banks often finance longer-term 
trading inventory or structured products through short-term repurchase agreements (repos). While this "borrowing short and lending long" strategy is profitable — normally capturing the spread between lower short-term rates and higher long-term rates — it creates an inherent mismatch on the balance sheet. This structural mismatch generates the primary risks that banks must manage - outlined in the preceding paragraph - but here especially: liquidity risk (the inability to meet short-term obligations without selling assets) and interest rate risk (changes in the yield curve affecting asset and liability values differently), making Asset and liability management (ALM) a critical discipline.
The Basel Accords mandate the predominant risk management framework. Under "Pillar I" regulators define the minimum regulatory capital requirements for quantifiable risks — principally credit risk, market risk, and operational risk as outlined — using either standardised or approved internal‑model approaches. Under "Pillar II", banks must conduct an internal capital adequacy assessment (ICAAP) to capture all material risks, holding sufficient "economic capital" for those. Some jurisdictions (or banks) complement these with additional buffers, stress testing, and supervisory review.


==== Investment banking ===

--- SEMANTIC NEIGHBORS (5) ---

  Title: Market Financial Solutions (similarity: 0.4615)
  URL: https://en.wikipedia.org/wiki/Market_Financial_Solutions
  QID: Q138798991
  Extract: Market Financial Solutions Ltd (MFS) was a Mayfair-based specialist financial services firm and mortgage lender that provided bridge loans and buy to let finance. Founded in 2006, the company entered administration in February 2026 following allegations of massive financial irregularities, including

  Title: Professional certification in financial services (similarity: 0.3514)
  URL: https://en.wikipedia.org/wiki/Professional_certification_in_financial_services
  QID: Q7248064
  Extract: Following is a partial list of professional certifications in financial services, with an overview of the educational and continuing requirements for each; see Professional certification § Accountancy, auditing and finance and Category:Professional certification in finance for all articles.

  Title: Jesús María Tarriba (similarity: 0.2667)
  URL: https://en.wikipedia.org/wiki/Jes%C3%BAs_Mar%C3%ADa_Tarriba
  QID: Q120728086
  Extract: Jesús María Tarriba Unger is a Mexican physicist and financial risk management expert who is the First Gentleman of Mexico. He is married to the President of Mexico, Claudia Sheinbaum. As the first husband of a president, Tarriba is the first First Gentleman in Mexican federal history.

  Title: Risk management (similarity: 0.3415)
  URL: https://en.wikipedia.org/wiki/Risk_management
  QID: Q189447
  Extract: Risk management is the identification, evaluation, and prioritization of risks, followed by the minimization, monitoring, and control of the impact or probability of those risks occurring. Risks can come from various sources including uncertainty in international markets, political instability, dang

  Title: Analyst (similarity: 0.3030)
  URL: https://en.wikipedia.org/wiki/Analyst
  QID: Q5669212
  Extract: An analyst is an individual who performs analysis of a topic. The term may refer to:

model_pass1          : claude-sonnet-4-20250514
model_pass2          : claude-haiku-4-5-20251001
inference_confidence : high
confidence_notes     : Strong confidence supported by detailed task descriptions, comprehensive wage data from BLS OEWS May 2025, and clear RIASEC profile. Wikipedia match provides external validation of the occupation's core functions and scope.
inferred_at          : 2026-06-03T13:37:48.312596+00:00
tokens_input         : 3,423
tokens_output        : 4,343
cost_usd             : $0.044827
wikipedia_used       : True
wikipedia_title      : Financial risk management
wikipedia_note       : The Wikipedia entry confirms this occupation's focus on protecting economic value through managing credit risk, market risk, and operational risk exposure. The definition aligns with O*NET's emphasis on analyzing and measuring threats to organizational assets and earning capacity.

--- PROSE FIELDS ---

ROLE SUMMARY:
Financial Risk Specialists analyze and measure exposure to credit and market risk that could threaten organizational assets, earning capacity, or economic stability. They conduct statistical analyses using econometric models and specialized software to quantify risks and develop mitigation strategies. These professionals make critical recommendations to limit organizational risk exposure and contribute to enterprise-wide risk management systems.

DAY IN THE LIFE:
A typical day involves conducting statistical analyses using software like IBM SPSS Statistics or econometric models to quantify various risk exposures. They analyze new legislation to determine its impact on risk exposure and confer with traders to identify risks associated with specific trading strategies. Much time is spent developing or implementing risk assessment models, creating scenario analyses reflecting severe market events, and consulting financial literature to ensure use of cutting-edge statistical techniques. They also contribute to developing contingency plans for organizational emergencies and may assess environmental impacts of new products on long-term profitability.

WHO THRIVES:
This role attracts individuals with strong analytical and mathematical capabilities who excel at pattern recognition and complex problem-solving. The high Conventional (5.36) and Investigative (4.96) RIASEC scores indicate success for those who prefer structured, systematic approaches to analysis and enjoy researching complex financial phenomena. Critical work styles include exceptional dependability and attention to detail, as risk miscalculations can have severe organizational consequences. Intellectual curiosity drives continuous learning of new models and techniques, while cautiousness ensures thorough evaluation of potential threats. Strong integrity is essential given the fiduciary responsibility of protecting organizational assets.

CAREER ENTRY:
Entry typically requires a bachelor's degree in finance, economics, mathematics, statistics, or related quantitative field, with many employers preferring master's degrees in these areas or an MBA with quantitative focus. Job Zone 4 classification indicates considerable preparation including coursework in statistics, econometrics, and financial modeling. Professional certifications like Financial Risk Manager (FRM) or Professional Risk Manager (PRM) enhance candidacy. Initial experience often begins in financial analysis, credit analysis, or related quantitative roles within banking, insurance, or investment firms.

CAREER TRAJECTORY:
Career progression typically leads to senior risk management roles such as Chief Risk Officer, Enterprise Risk Manager, or Risk Management Director positions. Many advance to Investment Fund Manager roles or transition into Financial Management positions overseeing broader organizational financial strategy. The strong foundation in quantitative analysis also opens pathways to Financial Quantitative Analyst specializations or consulting roles in risk management. Some pursue specialized tracks in specific risk domains like credit risk, market risk, or operational risk management.

MARKET INTELLIGENCE:
According to BLS OEWS May 2025, Financial Risk Specialists earn a median annual wage of $117,330, with the 10th-90th percentile range spanning $64,820 to $196,110. Employment of 63,850 is concentrated primarily in Finance and Insurance (41,000 positions), followed by Management of Companies and Enterprises (6,700) and Professional Services (5,770). Geographic wage variation is significant, with New Hampshire leading at $158,320 median annual wage while Louisiana reports the lowest at $58,440, creating a 2.71x ratio. The growing complexity of financial markets and increasing regulatory requirements drive sustained demand for specialized risk management expertise.

AUTOMATION OUTLOOK:
Risk assessment and modeling activities show moderate automation vulnerability as machine learning algorithms increasingly handle routine quantitative analysis and pattern recognition tasks. However, the role's emphasis on interpreting complex market scenarios, regulatory analysis, and strategic risk communication provides protection against full automation. The need for professional judgment in developing contingency plans and making risk recommendations to senior management ensures continued human involvement in critical decision-making processes.

--- REASONED EDGES ---
  [skill_overlap] Financial Quantitative Analysts (13-2099.01) — confidence:high
    reasoning: Both roles conduct statistical analyses using econometric models and require expertise in quantitative financial modeling techniques.
    data: statistical analyses using econometric models
    data: risk assessment model development
  [task_similarity] Financial and Investment Analysts (13-2051.00) — confidence:high
    reasoning: Both analyze financial data to assess organizational impacts and consult financial literature for latest analytical techniques.
    data: analyze areas of potential risk to assets
    data: consult financial literature
  [knowledge_overlap] Credit Analysts (13-2041.00) — confidence:high
    reasoning: Both evaluate credit risk exposure and require deep understanding of financial risk assessment methodologies.
    data: analyze exposure to credit risk
    data: risk assessment models
  [transferable_skill] Business Intelligence Analysts (15-2051.01) — confidence:medium
    reasoning: Both roles use statistical software and analytical techniques to extract insights from complex business data.
    data: statistical analysis software
    data: IBM SPSS Statistics
    data: scenario analyses
  [career_pathway] Financial Managers (11-3031.00) — confidence:high
    reasoning: Risk specialists often advance to financial management roles overseeing broader organizational financial strategy and risk governance.
    data: Job Zone 4 preparation
    data: contribute to risk management systems development
  [wage_band] Personal Financial Advisors (13-2052.00) — confidence:medium
    reasoning: Both occupations operate in similar wage ranges within the financial services sector requiring comparable expertise levels.
    data: median annual wage $117,330
    data: Finance and Insurance sector employment
  [riasec_cluster] Management Analysts (13-1111.00) — confidence:medium
    reasoning: Both show high Conventional and Investigative RIASEC traits, indicating systematic analytical approaches to organizational problems.
    data: C:5.36, I:4.96
    data: analyze organizational risk exposure

--- NORMALIZER SIGNALS ---
  match_keywords   : ['financial risk specialist', 'risk analyst', 'market risk analyst', 'credit risk analyst', 'enterprise risk manager', 'risk management analyst', 'financial risk analyst', 'business risk manager']
  exclude_keywords : ['insurance underwriter', 'actuarial', 'compliance officer', 'audit', 'tax']
  title_patterns   : ['*risk*analyst', '*risk*manager', '*risk*specialist', 'enterprise*risk*', 'financial*risk*']
  common_variations: ['financial risk analyst', 'market risk specialist', 'credit risk specialist', 'enterprise risk analyst', 'business risk analyst', 'risk management specialist', 'financial risk manager', 'risk assessment analyst']

total_terms    : 40
top_words      : ['risk', 'management', 'financial', 'risks', 'capital', 'market', 'tendency', 'business', 'investment', 'portfolio', 'banks', 'credit', 'exposure', 'interest', 'term', 'firm', 'value', 'fund', 'managers', 'models']
source_layers  : onet_tasks | onet_dimensions | dwas | wikipedia | inference

TERM                    COUNT     FREQ  DOMINANT SOURCE      SOURCE BREAKDOWN
──────────────────────────────────────────────────────────────────────────────────────────
risk                      254  0.04880  wikipedia            wikipedia:83%  inference:11%  onet_tasks:6%
management                 85  0.01633  wikipedia            wikipedia:87%  inference:11%  onet_tasks:2%
financial                  75  0.01441  wikipedia            wikipedia:64%  dwas:16%  inference:15%
risks                      72  0.01383  wikipedia            wikipedia:79%  dwas:11%  onet_tasks:7%
capital                    49  0.00941  wikipedia            wikipedia:100%
market                     45  0.00865  wikipedia            wikipedia:82%  inference:11%  onet_tasks:7%
tendency                   42  0.00807  onet_dimensions      onet_dimensions:100%
business                   37  0.00711  wikipedia            wikipedia:49%  dwas:46%  onet_tasks:5%
investment                 37  0.00711  wikipedia            wikipedia:81%  onet_tasks:14%  inference:5%
portfolio                  37  0.00711  wikipedia            wikipedia:100%
banks                      37  0.00711  wikipedia            wikipedia:100%
credit                     36  0.00692  wikipedia            wikipedia:89%  inference:11%
exposure                   28  0.00538  wikipedia            wikipedia:79%  inference:14%  onet_tasks:7%
interest                   28  0.00538  wikipedia            wikipedia:93%  onet_dimensions:7%
term                       27  0.00519  wikipedia            wikipedia:93%  onet_tasks:4%  inference:4%
firm                       27  0.00519  wikipedia            wikipedia:96%  onet_tasks:4%
value                      27  0.00519  wikipedia            wikipedia:93%  dwas:4%  inference:4%
fund                       26  0.00500  wikipedia            wikipedia:96%  inference:4%
managers                   25  0.00480  wikipedia            wikipedia:100%
models                     24  0.00461  wikipedia            wikipedia:62%  inference:17%  onet_tasks:12%
assets                     23  0.00442  wikipedia            wikipedia:83%  inference:13%  onet_tasks:4%
analysis                   22  0.00423  wikipedia            wikipedia:64%  inference:27%  onet_tasks:5%
economic                   21  0.00404  wikipedia            wikipedia:76%  onet_tasks:14%  inference:10%
finance                    21  0.00404  wikipedia            wikipedia:86%  inference:10%  onet_tasks:5%
liquidity                  19  0.00365  wikipedia            wikipedia:100%
given                      18  0.00346  wikipedia            wikipedia:89%  onet_tasks:6%  inference:6%
under                      18  0.00346  wikipedia            wikipedia:89%  onet_dimensions:11%
regulatory                 18  0.00346  wikipedia            wikipedia:83%  inference:11%  dwas:6%
long                       17  0.00327  wikipedia            wikipedia:88%  onet_tasks:6%  inference:6%
stress                     17  0.00327  wikipedia            wikipedia:88%  onet_dimensions:12%
banking                    17  0.00327  wikipedia            wikipedia:94%  inference:6%
typically                  17  0.00327  wikipedia            wikipedia:88%  inference:12%
operational                16  0.00307  wikipedia            wikipedia:81%  inference:12%  dwas:6%
hedge                      16  0.00307  wikipedia            wikipedia:100%
bank                       16  0.00307  wikipedia            wikipedia:100%
asset                      15  0.00288  wikipedia            wikipedia:93%  onet_tasks:7%
techniques                 14  0.00269  wikipedia            wikipedia:71%  inference:14%  onet_tasks:7%
changes                    14  0.00269  wikipedia            wikipedia:93%  onet_tasks:7%
others                     14  0.00269  onet_dimensions      onet_dimensions:71%  dwas:21%  wikipedia:7%
focus                      14  0.00269  wikipedia            wikipedia:86%  inference:14%