Financial Toolbox 3.4
Product Description
- Financial Toolbox Key Features
- Working with the Financial Toolbox
Working with the Financial Toolbox
Asset Allocation, Portfolio Optimization, and Risk Analysis
A comprehensive suite of portfolio optimization and analysis tools lets you:- Estimate asset return and total return moments from price or return data
- Simulate asset return time series
- Compute portfolio-level statistics
- Perform constrained mean-variance optimization and analysis
- Examine the time evolution of efficient portfolio allocations
- Perform capital allocation
Cash Flow Analysis
Time-value-of-money functionality lets you:- Calculate present and future values
- Determine nominal, effective, and modified internal rates of return
- Calculate amortization and depreciation
- Determine the periodic interest rate paid on a loan or annuity
Basic SIA-Compliant Fixed-Income Security Analysis
Securities Industry Association (SIA)-compatible analytics are provided for pricing, yield, and sensitivity analysis for government, corporate, and municipal fixed-income securities. Specific analytics include:- Complete cash flow date, cash flow amounts, and time-to-cash-flow mapping for a bond
- Price and yield maturity
- Duration and convexity
Basic Black-Scholes, Black, and Binomial Option-Pricing
The Financial Toolbox provides tools that let you:- Use a standard market model of equity pricing with Black and Black-Scholes formulas
- Compute the sensitivities of option greeks, such as lambda, theta, and delta
Financial Time Series and Date Math Tools
The Financial Toolbox includes a financial time series object that handles:- Date math, including business days and holidays
- Data transformation and analysis
- Technical analysis
- Charting and graphics
Basic GARCH Estimation, Simulation, and Forecasting
The Financial Toolbox includes tools to work with univariate GARCH models. These tools let you:- Estimate parameters of a univariate GARCH(p, q) model with Gaussian innovations
- Simulate univariate GARCH(p, q) processes
- Forecast conditional variances
With the GARCH Toolbox (available separately) you can work with additional GARCH models.
Regression and Estimation with Missing Data
The Financial Toolbox provides tools for performing multivariate normal regression with or without missing data. You can:- Perform common regressions based on the underlying model, such as seemingly unrelated regression (SUR)
- Estimate log-likelihood function and standard errors for hypothesis testing
- Complete calculations in the presence of missing data
Functions to Compute Technical Indicators and Create Financial Charts
Numerous well-known technical indicators and specialized plots are provided in the toolbox. These include:- Moving averages
- Oscillators, stochastics, indexes, and indicators
- Tools for computing maximum drawdown and expected maximum drawdown
- Charting tools, including Bollinger bands, candlestick plots, and moving averages
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