Mining Microeconomics Using MATLAB
Modelling the economics of an iron ore mine “is a complex task that can be made more reliable,” said David Willingham to a webinar audience on December 5, 2012. Willingham, an application engineer at Mathworks, was demonstrating how a typical mine’s economics could be modelled using MATLAB and then embedded within an Excel spreadsheet. Developing a mine involves significant capital expenditures and long time frames. Willingham aimed to take the audience through a good model that would take into account the microeconomics of a particular mining company, integrated with the macroeconomic environment, such as interest rates and iron ore prices. […]
Develop & Deploy Financial Models
“Focus on modelling, not programming,” urged Ameya Deoras, senior applications engineer at MathWorks. He was speaking during a webinar on December 3, 2012 about the use of MATLAB in the construction of financial models. Deoras’ talk covered four examples to varying depth during the hour. The first example, the calculation of the efficient frontier for large-cap stocks, allowed him to show the easy data importation from an ODBC-compliant database. Each step of the way he showed how the input could be visualized with a single click. If the data exist in a relational database (think tables and fields such as […]
Basel III Burden. Part 2: The Devil is in the Data
The second speaker at the October 18, 2012 GARP webinar was Peyman Mestchian, Managing Partner, Chartis Research. The Basel III “journey” will have three main impacts in financial institutions, he said: (1) Improved capital management. Mestchian believes banks will figure out how to adapt “without sacrificing their efficiency”; (2) Greater integration of risk, compliance, and finance functions. There will be overlapping responsibilities for Basel III, between front office, finance & treasury, and risk & compliance departments; and (3) Implementation of enterprise-wide risk management systems. Under Basel III, “capital optimization has a much higher profile,” Mestchian said. “Due to short timelines, […]
Automated Trading with MATLAB
Stuart Kozola, product manager for computational finance at MathWorks, demonstrated examples of trading systems using MATLAB during a webinar on August 21, 2012. In the first half he discussed how to develop an automated trading decision engine. This meant identifying a successful trading rule, extending the trading rule set, and automating the trading rule selection. In the second half of the webinar he showed implementation of the automated trading, with a caveat that these would require testing prior to integration and execution in the real-life scenario. The worked problem involved Brent oil futures. The first challenge was to identify profitable […]
Tree Bagger & Tree Booster: MatLab for Data-Driven Fitting
Let’s say you want to create a predictive model without assuming an analytical form to the model. How would you go about it? On August 14, 2012, Richard Willey, Technical Marketing Manager at MathWorks, demonstrated via webinar how input data could be fit using machine-learning approaches. The emphasis here is data-driven, as opposed to model-driven, fitting. “A limitation of regression techniques is that the user must specify a functional form,” said Willey, and the choice of that model is usually based on the domain model. Typically the data points are fit with high-order polynomials or Fourier series. Or, the user might run the data […]
Using Informatics to Keep Up with the Data Deluge
If you’re feeling a tad overwhelmed by the rate of publications appearing lately, spare a little sympathy for those who use PubMed, a database of references and abstracts on life sciences and biomedical topics. In 1980, articles were being added at a rate of 250,000 per year; by 2011 that rate had quadrupled to one million per year—flooding in from 39,000 different refereed journals. The problem is, only ten or twenty of these articles might bear relevance to the work an individual researcher is carrying out. The question becomes: how does one efficiently find those ten or twenty papers? In […]
Sentiment Analysis and Risk Layering
“Sentiment analysis is ripe for development,” said Cliff Rossi and he was not speaking about the newest remake of Jane Eyre, but about new trends in financial risk management. Rossi, the Tyser Teaching Fellow at the business school of the University of Maryland, was addressing a GARP (Global Association of Risk Professionals) audience as the second of three panellists on “Modernizing Financial Risk Management: The Changing Technology Paradigm” on May 22, 2012. There are three main categories of enhancements Rossi would like to see in risk management technology. First on his wish list is a greater breadth of data over […]
“We Need to Fix the Plumbing”
Allan Grody is a man with a mission. The fall-out from the financial meltdown has shone a light on many things that need fixing within the financial system, and of these, Grody is focusing on one especially leaky, corroded pipe. Grody, president of Financial Intergroup, was addressing a GARP (Global Association of Risk Professionals) audience as the third of three panelists on “Modernizing Financial Risk Management: The Changing Technology Paradigm” on May 22, 2012. Early in his presentation, Grody showed a complex summation diagram. Titled “Need to Fix the Plumbing,” it was a kind of map, one that deserves a place […]
Real-Time Risk Analytics, SAS Style
“Analysts in capital markets get pummeled with vast quantities of information,” said Jeff Hasmann, “sometimes receiving as many as twenty newsfeeds per day. How are they to make sense of it all?” Hasmann was the first of three panelists speaking at the Global Association of Risk Professionals (GARP) webinar, “Modernizing Financial Risk Management: The Changing Technology Paradigm” on May 22, 2012. There is a push to modernize financial risk management from both above and below. Besides handling information overload, Hasmann noted there are several reasons to modernize: evolving regulations, improvements in efficiency to be gained, and needs for standardization. Hasmann, […]
Joost Driessen Discusses Liquidity Effects in Bonds
Put away the crossword and the sudoku: it’s the “credit spread puzzle” that’s occupying some leading financial minds. On May 3, 2012, Prof. Joost Driessen of Tilburg University spoke to a Global Association of Risk Professionals (GARP) webinar audience about recent work done by his research group to solve this puzzle. The term “credit spread puzzle” refers to the fact that credit spreads are much higher than can be justified by historical default losses. A typical example Driessen cited was a long-term AA bond that had an expected default loss of 0.06% yet whose average credit spread, calculated using real-life data, was 1.18%. More […]