University of Rome Tor Vergata Graduate Students Acquire Marketable Programming and Asset Pricing Skills

Challenge

Teach graduate students in finance and banking the quantitative analysis and coding skills that are in demand in the industry

Solution

利用校园广泛访问Matlab,在线教程和认证计划,使学生能够获得并展示Matlab编程的熟练程度

结果

  • 课堂时间优化
  • 通过可视化学习的复杂概念
  • 学生毕业的需求技能

“In finance, you only truly understand the theory after you implement it in code and run that code on data to see what it produces—all of which our students do in MATLAB. We know this approach is much appreciated by the industry because our graduates find jobs quite easily.”

罗马大学罗马·赫尔兹尔博士

Monte Carlo simulation results for empirical densities returns (bars) and theoretical densities returns (lines) for two dynamic strategies.


两年Master of Science in Finance and Banking programat the School of Economics of the University of Rome Tor Vergata is designed for talented students who wish to study the application of mathematical and statistical techniques to financial markets. The program produces graduates with quantitative skills that are in high demand at financial institutions—98% of the students are employed within one year of completing their studies.

Stefano Herzel是,Torgata的经济学和财经数学教授教授与硕士计划非常相关的两种课程:Coding for Financial ApplicationsAsset Pricing.通过使用matlab.®,Herzel通过实施直观的,实践的讲座和作业方法改善了学习结果。

“我们的学生来自不同的背景,大多数人开始时没有编程经验,”赫尔兹尔说。“MathWorks和用户友好的Matlab环境提供的在线资源使学生能够快速学习。他们将更加困难,以像Python或R这样的语言开始。

Challenge

赫尔兹尔为他的课程有几个教学目标。对于Coding for Financial Applications,他想花更多的课堂时间帮助学生通过问题和少时间努力工作,涵盖基础知识的讲座。对于Asset Pricing,he wanted students to gain a deeper understanding of economic and financial theory by writing code to implement and visualize the concepts they learned.

在赫尔兹尔的主要目标中,为了装备潜在雇主所寻求的定量技能,并为学生提供赚取认证的学生,以展示他们的Matlab熟练程度。

Solution

Herzel took advantage of a Campus-Wide License for MATLAB at Tor Vergata to develop content and teach courses for the university’s Master of Science in Finance and Banking program.

学生们Coding for Financial Applications在他们的第一年。他们学习如何使用MATLAB中的向量,矩阵和表格数据,以及如何编写功能,处理缺失数据,并将模型适合对本数据。

Before each weekly class session, the students complete tutorials from MATLAB for Financial Applications, an online training course available through the university’s Campus-Wide License. The license enables students to work on their MATLAB assignments on their own laptops anywhere on campus, reducing demand for scarce computer lab time.

Herzel begins each class session by reviewing the material covered in the self-paced online training. He then leads a discussion of the key concepts covered that week. Typically, the students take a quiz and then share their solutions to the quiz problems in MATLAB. Herzel ends the class by introducing the concepts to be covered the following week.

在第二年的学生Asset Pricinguse the MATLAB skills they’ve acquired to complete assignments on various mathematical instruments used in pricing, such as stochastic differential equations, as well as assignments on asset pricing theory, including pricing by arbitrage using the Black-Scholes model or delta hedging.

Assignments include calibrating models via nonlinear least squares optimization, simulating stochastic processes and running Monte Carlo simulations to price derivatives and check the theoretical results of the models.

完成课程后,学生们有机会获得认证的Matlab助理凭证。Herzel本人是意大利领导的第一个接受的教授MATLAB certification. More than 30 of his students have so far passed the test and become certified.

Tor Vergata faculty are integrating MATLAB into other courses in the Finance and Banking program curriculum, including a course on portfolio management in which students use MATLAB and Optimization Toolbox™ to perform portfolio optimization based on modern portfolio theory.

结果

  • 课堂时间优化。“We were already happy with the Campus-Wide License because of the access it provided to MATLAB and the many toolboxes that we use in our program,” says Herzel. “When we discovered that the license also includes a wealth of exceptionally useful online courses, we were even happier, because it meant we could focus classroom time on core material instead of coding basics.”
  • 通过可视化学习的复杂概念.“随机微积分可能会令人困惑,很少有学生通过单独的数学证据相信其价值,”赫拉克尔说明。“一旦他们看到它如何在Matlab中以图形方式工作,它们都不持怀疑态度,并准备申请依赖随机微分方程的黑人学员和其他模型。”
  • 学生毕业的需求技能。“One of the strengths of our program is the employment rate of our graduates,” says Herzel. “I often hear from employers how valuable it is for graduates to know how to program, and in our case, to program in MATLAB. MATLAB certification is an additional advantage that dozens of our students achieved last year, and we expect to have as many or more certifications this year.”