Navigating Analytics
Expertise in Building and Managing Teams, Structures and Processes for Data Management, Analytics, Modeling, Optimization, Business Intelligence Reporting Dashboards and Real-time Streaming from Cloud Technologies
Here Some of the Analytics Methods That Can Be Used in the Areas Identified Below
Strategic Analytics Methods
Qualitative
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Value Chain Analysis
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Consumer Survey
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Program Evaluation and Review Technique (PERT)
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TOWS matrix (SWOT)
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Five forces
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Competency-based design and reengineering
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Cognitive mapping
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Soft systems methodology (SSM)
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Viable systems model (VSM)
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Hierarchical functional model
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Resource-based analysis
Semi-Quantitative
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Tobin´s q
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Intangible Assets Monitor
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Brand Equity
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System dynamics
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Balanced Scorecard
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Real options
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Scenario analysis
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Capital investment appraisal
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Critical systems heuristics (CSH)
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Sensitivity analysis
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System dynamics models
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Rate of return analysis
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Network hierarchical nesting
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Strategic assumption surfacing and testing (SAST)
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Correlation
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Covariance
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Interpolation
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Extrapolation
Quantitative
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Cluster Analysis
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Conjoint Analysis
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Principal Components Analysis
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Correspondence Analysis
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Fuzzy Classification
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Ordinary Least Squares (OLS)
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Generalized Least Squares (GLS)
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Generalized Linear Models (GLM)
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Game theoretical models
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Polynomial Regression
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Partial Least Squares Regression
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Multidimensional Scaling (MDS)
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Classification Trees
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Multivariate Analysis of Variance or Covariance
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Times Series Forecasting
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Econometric Modeling
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Linear Mixed Models or Residual Maximum Likelihood (REML)
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Structural Equation Models
Operations Analytics Methods
Qualitative
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Value Chain Analysis
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Consumer Survey
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Means-ends analysis
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Value analysis
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Hierarchical functional model
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Resource-based analysis
Semi-Quantitative
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Probability distributions
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Scenario-based models
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Sensitivity analysis
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Bayesian analysis
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System dynamics models
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Rate of return analysis
Quantitative
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Cluster Analysis
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Conjoint Analysis
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Principal Components Analysis
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Correspondence Analysis
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Fuzzy Classification
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Causal Modeling
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Human capital monitor
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Network analysis
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Decision trees
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Frequency distribution models
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Severity distribution models
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Loss distribution approaches
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Neural networks
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Design of Experiments
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Maximum Likelihood Estimation (ML)
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Moment Estimation Method (MLE)
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Quantile Estimation Method
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Poisson Models
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Negative Binomial
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Extreme Value Theory (EVT)
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Generalized Pareto Distributions (GPD)
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Ordinary Least Squares (OLS)
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Generalized Least Squares (GLS)
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Generalized Linear Models (GLM)
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Game theoretical models
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Polynomial Regression
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Partial Least Squares Regression
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Multidimensional Scaling (MDS)
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Classification Trees
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Multivariate Analysis of Variance or Covariance
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Times Series Forecasting
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Econometric Modeling
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Linear Mixed Models or Residual Maximum Likelihood (REML)
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Structural Equation Models
Analytics Methods To Use on External Data for Example like the Economic Variables
Quantitative
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Time Series Analysis
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ARIMA and ARMAX Models
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ARCH and GARCH Models
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Prais-Winsten Regression
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Vector Autoregression (VAR)
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Structural Vector Autoregression (SVAR)
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Vector Error Correction Models (VECM)
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Nonparametric Time Series Analysis (CAFPE)
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Smooth Transition Regression (STR)
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Cointegration
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Simultaneous-Equation Models
Risk Selection Analytics
Semi-Quantitative
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Probability Distributions
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Scenario Analysis
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Sensitivity Analysis
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Rate of return analysis
Quantitative
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Random variables and distributions
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Expectations and moments
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Probability distributions
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Maximum likelihood
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Claim frequency and claim size analysis
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Experience rating
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Exposure rating
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Bayesian method
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Maximum loss
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Ordinary Least Squares (OLS)
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Generalized Least Squares (GLS)
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Generalized Linear Models (GLM)
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Polynomial Regression
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Partial Least Squares Regression
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Multidimensional scaling (MDS)
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Classification Trees
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Multivariate Analysis of Variance or Covariance
Some Premium Risk Analytics Methods
Semi-Quantitative
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Scenario analysis
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Sensitivity analysis
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Correlation
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Covariance
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Interpolation
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Extrapolation
Quantitative
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Probability distributions
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Maximum loss
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Cluster Analysis
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Conjoint Analysis
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Principal Components Analysis
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Fuzzy Classification
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Ordinary Least Squares (OLS)
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Generalized Least Squares (GLS)
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Generalized Linear Models (GLM)
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Game theoretical models
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Polynomial Regression
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Partial Least Squares Regression
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Multidimensional Scaling (MDS)
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Multivariate Analysis of Variance or Covariance
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Times Series Forecasting
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Econometric Modeling
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Linear Mixed Models or Residual Maximum Likelihood (REML)
Some of the Analytics Methods
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Strategic Analytics
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Operations Analytics
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Analytics Methods for External Data
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Risk Selection Analytics
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Basel II Operational Risk Analytics
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Premium Risk Analytics
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Credit Risk Analytics
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Market Risk Analytics
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Interest Rate Risk Analytics
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Exchange Risk Analytics
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Asset/Liability Matching Analytics
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Pricing Analytics
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Liquid Risk Analytics
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Capital Management Analytics
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Model Validation Techniques
If you want to have conversation on some of these methods, please feel free to contact me but that will depend on how much time I have but will try to respond:
Some Credit Risks Analytics Methods
Semi-Quantitative
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Stress Testing
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Scenario Analysis
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Sensitivity Analysis
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Backtesting
Quantitative
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Individual Loan
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Default Risk Models
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Credit Scoring Models
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Linear Probability Model (LPM)
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Logit Model
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Probit Model
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Discriminant Model
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Neural Network (Especially the Probabilistic Neural Network Classifier (PNN) family)
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Altman Z-score model
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Term Structure Derivation
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RAROC Models
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Option Models
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CreditMetrics
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Credit Risk+
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KMV Model
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Mortality Rate Derivation
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Loan Portfolio
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Loan Concentration Risk Models
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Portfolio Diversification
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KMV Portfolio Manager Models
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Loan Volume-Based Models
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Loan Loss ratio models
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Regulatory models
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Factor Analysis and Factor Loadings
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Stochastic Risk Measures
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Mark-to-Market approach
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Risk-neutral valuation (RNV) approach
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Extreme Value
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Maximum loss
Basel II Credit Risk Measurement Approach
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The Standardized Approach
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Simplified standardized approach
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Internal Rating-Based Approach
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Foundation Approach
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Advanced Approach
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Asset securitization
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Standardized Approach
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Internal Rating-Based Approach
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Some Market Risks Measurement Methods
Semi-Quantitative
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Stress Testing
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Scenario Analysis
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Sensitivity Analysis
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Backtesting
Quantitative
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Probability distributions
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Financial Mathematics/ Derivatives Measures. E.g: delta, gamma, rho, vega, theta
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Mean-Variance
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Gap Analysis
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Duration Analysis
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Capital Asset Pricing Model (CAPM)
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Modified Form of CAPM
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Correlations
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Covariances
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Copulas
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Downside risk measures
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Cash flow at risk (CFAR)
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Earnings at risk (EAR)
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Capital at risk
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Delta-Gamma
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Parametric VaR
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Historical Simulation
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Monte Carlo Simulation
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Arbitrage Pricing
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Principal Components Analysis
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Factor Analysis and Factor Loadings
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Coherent Risk Measures
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Option Pricing
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LIBOR Market Models
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Approximation Methods
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Distortion Risk Measures
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Exponentially Weighted Moving Average (EWMA) Models
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Generalized Autoregressive Conditional Heteroscedasticity Models (GARCH)
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Stochastic Risk Measures
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Market based forecasting
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Autoregressive Integrated Moving Average (ARIMA)
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Implied volatility models
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Exponentially weighted moving average (EWMA)
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Autoregressive volatility models
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Autoregressive conditionally heteroscedastic (ARCH) models
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Generalized ARCH (GARCH) models
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Fractional integrated GARCH (FIGARCH)
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Exponential GARCH (EGARCH) model
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Multivariate GARCH models
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Asymmetric GARCH models
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Option implied volatility
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Optimization
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MCMC (Monte Carlo Markov Chain) approach
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Extreme Value
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Maximum loss
Basel II Market Risk Measurement Approach
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The Standardized Approach
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Internal Models Approach
Basel II Operational Risk Measurement Approaches
Quantitative
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The basic indicator approach (BIA)
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The standardized approach (SA)
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Advanced measurement approaches (AMA)
Some Interest Rate Risk Analytics Methods
Semi-Quantitative
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Stress Testing
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Scenario Analysis
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Sensitivity Analysis
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Backtesting
Quantitative
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Probability distributions
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Financial Mathematics/ Derivatives Measures. E.g delta, gamma, rho, vega, theta
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Mean-Variance
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Gap Analysis
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Duration Analysis
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Convexity
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Earnings-at-Risk
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Capital Asset Pricing Model (CAPM)
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Correlations
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Covariances
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Copulas
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LIBOR Models
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Principal Components Analysis
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Factor Analysis and Factor Loadings
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Generalized Autoregressive Conditional Heteroscedasticity Models (GARCH)
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Stochastic Risk Measures
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Market based forecasting
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Autoregressive Integrated Moving Average (ARIMA)
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Simulations
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Bootstrapping
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Extreme Value
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Maximum loss
Some Exchange Risks Analytics Methods
Quantitative
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Market based forecasting
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Autoregressive Integrated Moving Average (ARIMA)
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Markov switching models
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Threshold autoregressive (TAR) models
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Autoregressive volatility (ARV) model
Some Liquidity Risk Analytics Methods
Semi-Quantitative
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Stress Testing
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Scenario Analysis
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Sensitivity Analysis
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Backtesting
Quantitative
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Liquidity at risk (LaR)
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Liquidity adjusted VaR
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Exogenous spread
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Discount approach
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Transaction cost
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Derivative pricing
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Capital Management - (Allocation, Economic, Regulatory and Cost of Capital)
Semi-Quantitative
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Stress Testing
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Scenario Analysis
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Sensitivity Analysis
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Backtesting
Quantitative
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Liquidity at risk (LaR)
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Liquidity adjusted VaR
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Exogenous spread
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Discount approach
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Transaction cost
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Derivative pricing
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Some of the Model Validation Techniques
Semi-Quantitative
Mean
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F-Test
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Student t-test
Median
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Mann-Whitney (Wilcoxon) W test
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Kruskal-Wallis test
Variance
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Siegel-Tukey Test
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Chi-Squared Test
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Brown-Forsythe Test
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Bartlett Test
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Levene Test
Skewness and Kurtosis
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Chi-Squared Test
Distributions
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Anderson-Darling Test
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Shapiro-Wilks
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Kolmogorov-Smirnov Test
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Kuiper Test
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Lilliefors Test
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Jarque-Berra Test
Cross-correlated errors
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Granger-Newbold test
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F-Statistic
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Diebold-Mariano test
Some Asset/Liability Matching Risks Analytics Methods
Semi-Quantitative
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Stress Testing
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Scenario Analysis
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Sensitivity Analysis
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Backtesting
Quantitative
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Probability distributions
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Financial Mathematics/ Derivatives Measures. E.g delta, gamma, rho, vega, theta
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Mean-Variance
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Gap Analysis
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Maturity Model
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Term Structure
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Duration Analysis
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Correlations
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Covariances
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Copulas
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Delta-Gamma
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Efficient Frontier
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Principal Components Analysis
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Factor Analysis and Factor Loadings
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Coherent Risk Measures
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Distortion Risk Measures
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Stochastic programming
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Decision rules
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Dynamic stochastic control
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Multiobjective linear programming model
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Goal Programming
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Exponentially Weighted Moving Average (EWMA) Models
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Generalized Autoregressive Conditional Heteroscedasticity Models (GARCH)
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Stochastic Risk Measures
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Simulation models
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Portfolio Management Models
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Arbitrage models
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Dynamic generalized networks
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Optimization
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Extreme Value
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Maximum loss
Some Pricing Risks Analytics Methods
Semi-Quantitative
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Stress Testing
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Scenario Analysis
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Sensitivity Analysis
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Probability Distributions
Quantitative
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Increasing limit factor (ILF)
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Pure premium
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Target Loss Ratio Approach
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Capital-Based Cat Pricing
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Cluster analysis
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Conjoint analysis
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Ordinary Least Squares (OLS)
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Generalized Least Squares (GLS)
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Generalized Linear Models (GLM)
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Polynomial Regression
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Partial Least Squares Regression
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Multidimensional scaling (MDS)
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Classification Trees
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Multivariate Analysis of Variance or Covariance