Create a creditscorecard object, bin data, display, and plot binned data information. This example also shows how to fit a logistic regression model, obtain a score for the scorecard model,
The bolling function in Financial Toolbox™ software produces a Bollinger band chart using all the closing prices in an IBM® stock price matrix. A Bollinger band chart plots actual data along
Illustrates implementation of the Capital Asset Pricing Model (CAPM) in the presence of missing data.
Plots gamma as a function of price and time for a portfolio of 10 Black-Scholes options.
Creates a three-dimensional plot showing how gamma changes relative to price for a Black-Scholes option.
Set up a basic asset allocation problem that uses mean-variance portfolio optimization with a Portfolio object to estimate efficient portfolios.
The following sequence of examples highlights features of the Portfolio object in the Financial Toolbox™. Specifically, the examples use the Portfolio object to show how to set up
Use the setBudget function for the Portfolio class to define the limits on the sum(AssetWeight _ i ) in risky assets.
Perform portfolio optimization using the Portfolio object in Financial Toolbox™.
Analyze the characteristics of a portfolio of equities, and then compares them with the efficient frontier. This example seeks to answer the question of how much closer can you get to the
Construct a bond portfolio to hedge the interest-rate risk of a Treasury bond maturing in 20 years. Key rate duration enables you to determine the sensitivity of the price of a bond to
This demo is an introduction to using MATLAB to develop and test a simple trading strategy using an exponential moving average.
This demo extends work done in AlgoTradingDemo1.m and adds an RSI technical indicator to the mix. Copyright 2010, The MathWorks, Inc. All rights reserved.
Copyright 2017-2017 The MathWorks, Inc.
This demo develops and tests a simple exponential moving average trading strategy. It encorporates obtaining data from the Bloomberg BLP datafeed and executing trades in EMSX, based on the
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In AlgoTradingDemo2.m we saw how to add two signals together to get improved results. In this demo we'll use evolutionary learning (genetic algorithm) to select our signals and the logic
In AlgoTradingDemo3.m we saw how to add two signals together to get improved results using evolutionary learning. In this demo we'll use extend the approach to three signals: MA, RSI, and
This script will demonstrate some simple examples related to creating, routing and managing orders from MATLAB via Bloomberg EMSX.
This demo uses our simple intraday moving average strategy to develop a trading system. Based on historical and current data, the decision engine decides whether or not to trade, and sends
This demo shows how to profile your code to find the performance bottlenecks, or areas for improvement, as well as the capability to generate C-Code from MATLAB.
We seek to try out ga and patternsearch functions of the Genetic Algorithm and Direct Search Toolbox. We consider the unconstrained mean-variance portfolio optimization problem, handled
The objective of this file is to load historical prices into MATLAB work space and store them in TimeTable format.