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For a sample of finished projects please look at the bottom of this page.

Risk Consulting

Scoring Models

  • Application and behavioral scoring
  • (Advanced) model development and validation
  • Reject Inference approaches
  • Cut-off setting using Cost of Error weighting

Basel II Economic Capital

  • PD, LGD and EAD models methodology
  • Time series analysis with economic downturn assessment
  • Methods dealing with incomplete observations (LGD)
  • PIT x TTC rating (variable scalar approach)

Advanced Methodology for LGD Modeling

  • Cost allocation +Data implied Discount rate determination
  • Modeling techniques for partial Recovery rate observations
  • Downturn portfolio LGD

Value at Risk Models

  • Parametric and nonparametric VaR and CVaR models
  • Advanced (e.g. GARCH) correlation and volatility estimations
  • EVT (Extreme value theory) VaR implementation

Valuation of Derivatives

  • Valuation and risk quantification of portfolios of plain vanilla forwards, options, or swaps
  • Advanced stochastic modeling and exotic derivatives valuation

Capital Optimization

  • Basel II market and operational risk capital calculation
  • Standardized or VaR based approach
  • Stress Testing and Economic Capital Allocation

Our Added Value

  • Development, calibration, and validation of powerful rating and scoring systems
  • Loss given default and conversion factor estimations
  • Higher efficiency of the recovery processes
  • Compliance with the Basle II requirements
  • Credit risk portfolio modeling and economic capital allocation
  • Database solutions and process workflow support
  • Risk reporting on portfolio and single transaction base
  • Monitoring and measuring of market risk exposures of your operations
  • Calculation of market value of derivatives
  • Optimal structured finance operations
  • Sophisticated hedging with derivative products
  • Efficient market and operational risk management tools and systems
  • Optimization of Basel II capital requirements
  • Flexible risk reporting and stress testing

IT Services

Credit Rating System

  • (Web based) Application for storing and management of financial statements
  • Supported by database structure
  • Process of client level rating assignment, definition of user roles (analyst, client manager)

Recovery Management System

  • Definition of particular recovery processes
  • Storage of realized actions on account, direct and indirect costs
  • Support of recovery process analysis and optimization
  • Data export for LGD modeling

Tailor Made Software

  • We offer software development on demand and our own software products. We have very competent team with extensive know-how in the area of software applications development and software solutions development

Our Added Value

  • Database solutions
  • Custom made software

Finances and Investment

Optimal Portfolio Allocation

  • Expected return versus risk optimization
  • Algorithmic trading strategies analysis, design, and implementation
  • Bayesian approach to asset allocation

Performance Measurement and Risk Reporting

  • Definition of key performance indicators, benchmarks, and risk measures
  • Implementation of automatic reporting systems and monitoring processes

Cash Flow Optimization

  • Proposal of optimal cash flow structure, financing, and financial asset management
  • Analysis and hedging of balance sheet foreign exchange, interest rate, and liquidity risks

Our Added Value

  • Optimal allocation of financial assets incl. reliable measurement of their return and risk profile
  • Selection of best investment instruments
  • Selection of portfolio managers and supervision of adherence to investment strategies
  • Maximization of yields through pooling structures
  • Proposal of financing alternatives based on clients needs

Case Studies

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Stress testing case study

Stress testing case study

stress testing

A review of Basel II and Basel III supervisory regulation in the area of stress testing credit risk. Summary of methods and aspects used in definition of stress scenarios. Two case studies on hypothetical portfolios are presented. A macroeconomic model for Loss (= PD x LGD) predection depending on GDP time series is developed. As for the second step national bank's (CNB) stressed scenario of GDP evolvement is taken to influence future stressed development of Loss on the portfolio.
The second case study works with a method of stressing transition probability matrix among pools of credit ratings.