Course Outline

Part 1

A Brief Introduction to MATLAB for Government

Objectives: Provide an overview of what MATLAB is, its components, and its applications for government users.

  • An Example: C vs. MATLAB
  • MATLAB Product Overview
  • MATLAB Application Fields
  • What MATLAB Can Do for Government Operations
  • The Course Outline

Working with the MATLAB User Interface for Government

Objective: Introduce the main features of the MATLAB integrated design environment and its user interfaces. Provide an overview of course themes relevant to government applications.

  • MATLAB Interface
  • Reading Data from Files
  • Saving and Loading Variables
  • Plotting Data
  • Customizing Plots
  • Calculating Statistics and Best-Fit Line
  • Exporting Graphics for Use in Other Applications

Variables and Expressions for Government

Objective: Enter MATLAB commands with a focus on creating and accessing data in variables, tailored to government use cases.

  • Entering Commands
  • Creating Variables
  • Getting Help
  • Accessing and Modifying Values in Variables
  • Creating Character Variables

Analysis and Visualization with Vectors for Government

Objective: Perform mathematical and statistical calculations with vectors and create basic visualizations. Demonstrate how MATLAB syntax enables efficient calculations on entire data sets.

  • Calculations with Vectors
  • Plotting Vectors
  • Basic Plot Options
  • Annotating Plots

Analysis and Visualization with Matrices for Government

Objective: Use matrices as mathematical objects or collections of data. Understand the appropriate use of MATLAB syntax in government applications.

  • Size and Dimensionality
  • Calculations with Matrices
  • Statistics with Matrix Data
  • Plotting Multiple Columns
  • Reshaping and Linear Indexing
  • Multidimensional Arrays

Part 2

Automating Commands with Scripts for Government

Objective: Collect MATLAB commands into scripts to facilitate reproducibility and experimentation. As tasks become more complex, using the Command Window becomes impractical.

  • A Modeling Example
  • The Command History
  • Creating Script Files
  • Running Scripts
  • Comments and Code Cells
  • Publishing Scripts

Working with Data Files for Government

Objective: Import data into MATLAB from various formatted files. Emphasize working with cell arrays and date formats to support government data needs.

  • Importing Data
  • Mixed Data Types
  • Cell Arrays
  • Conversions Among Numerals, Strings, and Cells
  • Exporting Data

Multiple Vector Plots for Government

Objective: Create more complex vector plots, including multiple plots, using color and string manipulation techniques to produce clear visual representations of data.

  • Graphics Structure
  • Multiple Figures, Axes, and Plots
  • Plotting Equations
  • Using Color
  • Customizing Plots

Logic and Flow Control for Government

Objective: Use logical operations, variables, and indexing techniques to create flexible code that can make decisions and adapt to different situations. Explore programming constructs for repetition and user interaction.

  • Logical Operations and Variables
  • Logical Indexing
  • Programming Constructs
  • Flow Control
  • Loops

Matrix and Image Visualization for Government

Objective: Visualize images and matrix data in two or three dimensions, distinguishing between image display and matrix visualization techniques.

  • Scattered Interpolation Using Vector and Matrix Data
  • 3-D Matrix Visualization
  • 2-D Matrix Visualization
  • Indexed Images and Colormaps
  • True Color Images

Part 3

Data Analysis for Government

Objective: Perform typical data analysis tasks in MATLAB, including developing and fitting theoretical models to real-life government data. Highlight the powerful feature of solving linear systems of equations with a single command.

  • Dealing with Missing Data
  • Correlation
  • Smoothing
  • Spectral Analysis and FFTs
  • Solving Linear Systems of Equations

Writing Functions for Government

Objective: Increase automation by encapsulating modular tasks as user-defined functions. Understand how MATLAB resolves references to files and variables in government applications.

  • Why Functions?
  • Creating Functions
  • Adding Comments
  • Calling Subfunctions
  • Workspaces
  • Subfunctions
  • Path and Precedence

Data Types for Government

Objective: Explore data types, focusing on the syntax for creating variables and accessing array elements. Discuss methods for converting among data types to meet government data requirements.

  • MATLAB Data Types
  • Integers
  • Structures
  • Converting Types

File I/O for Government

Objective: Explore low-level data import and export functions in MATLAB that provide precise control over text and binary file I/O, essential for government data management.

  • Opening and Closing Files
  • Reading and Writing Text Files
  • Reading and Writing Binary Files

Note: The actual content delivered may be subject to minor discrepancies from the outline above without prior notification.

Part 4

Overview of the MATLAB Financial Toolbox for Government

Objective: Learn to apply the various features included in the MATLAB Financial Toolbox to perform quantitative analysis for government financial operations. Gain the knowledge and practice needed to develop real-world applications involving financial data.

  • Asset Allocation and Portfolio Optimization
  • Risk Analysis and Investment Performance
  • Fixed-Income Analysis and Option Pricing
  • Financial Time Series Analysis
  • Regression and Estimation with Missing Data
  • Technical Indicators and Financial Charts
  • Monte Carlo Simulation of SDE Models

Asset Allocation and Portfolio Optimization for Government

Objective: Perform capital allocation, asset allocation, and risk assessment in government financial contexts.

  • Estimating Asset Return and Total Return Moments from Price or Return Data
  • Computing Portfolio-Level Statistics, Such as Mean, Variance, Value at Risk (VaR), and Conditional Value at Risk (CVaR)
  • Performing Constrained Mean-Variance Portfolio Optimization and Analysis
  • Examining the Time Evolution of Efficient Portfolio Allocations
  • Performing Capital Allocation
  • Accounting for Turnover and Transaction Costs in Portfolio Optimization Problems

Risk Analysis and Investment Performance for Government

Objective: Define and solve portfolio optimization problems for government financial planning.

  • Specifying a Portfolio Name, the Number of Assets in an Asset Universe, and Asset Identifiers
  • Defining an Initial Portfolio Allocation

Fixed-Income Analysis and Option Pricing for Government

Objective: Perform fixed-income analysis and option pricing to support government financial decision-making.

  • Analyzing Cash Flow
  • Performing SIA-Compliant Fixed-Income Security Analysis
  • Performing Basic Black-Scholes, Black, and Binomial Option-Pricing

Part 5

Financial Time Series Analysis for Government

Objective: Analyze time series data in financial markets to support government operations.

  • Performing Data Math
  • Transforming and Analyzing Data
  • Technical Analysis
  • Charting and Graphics

Regression and Estimation with Missing Data for Government

Objective: Perform multivariate normal regression with or without missing data to support government financial analysis.

  • Performing Common Regressions
  • Estimating Log-Likelihood Function and Standard Errors for Hypothesis Testing
  • Completing Calculations When Data Is Missing

Technical Indicators and Financial Charts for Government

Objective: Practice using performance metrics and specialized plots to support government financial reporting.

  • Moving Averages
  • Oscillators, Stochastics, Indexes, and Indicators
  • Maximum Drawdown and Expected Maximum Drawdown
  • Charts, Including Bollinger Bands, Candlestick Plots, and Moving Averages

Monte Carlo Simulation of SDE Models for Government

Objective: Create simulations and apply SDE models to support government financial modeling.

  • Brownian Motion (BM)
  • Geometric Brownian Motion (GBM)
  • Constant Elasticity of Variance (CEV)
  • Cox-Ingersoll-Ross (CIR)
  • Hull-White/Vasicek (HWV)
  • Heston

Conclusion for Government

Objectives: Summarize what we have learned and provide information on other upcoming courses on MATLAB for government.

  • A Summary of the Course
  • Other Upcoming Courses on MATLAB for Government

Note: The actual content delivered may differ from the outline as a result of customer requirements and the time spent on each topic.

Requirements

  • Foundational understanding of undergraduate-level mathematical concepts, including linear algebra, probability theory, statistics, and matrix operations.
  • Basic computer literacy and operational skills.
  • Preferred knowledge of another high-level programming language, such as C, PASCAL, FORTRAN, or BASIC, though this is not mandatory for government applications.
 35 Hours

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