• About SNS

    The Scuola Normale Superiore is a public institute for higher education that in its two centuries of life has earned itself a special place, both in Italy and abroad, a place characterised by merit, talent and scientific rigour.  Two types of course are available: the undergraduate course and the PhD course.The teaching activity is distributed among three academic structures: the Faculty of Humanities, the Faculty of Mathematical and Natural Sciences, placed in Pisa, and the Institute of Humanities and Social Sciences, located in Palazzo Strozzi in Florence. 

  • Admission

    The evaluation for entrance to the first year of the undergraduate course does not include the high school leaving certificate, and the bachelor's degree is not taken into consideration in the entrance examination for the fourth year course. For each PhD course, candidates’ level of competence, talent, motivations and aptitudes to scientific research will be assessed on the basis of their qualifications and research project and an interview.

  • Academics

    The Scuola Normale Superiore offers two types of course: the undergraduate course, leading to first and second level university degrees, and the PhD course, the international equivalent of the Italian Dottorato di ricerca.The teaching and research activity is distributed among three academic structures: the Faculty of Humanities, the Faculty of Mathematical and Natural Sciences, and the Institute of Humanities and Social Sciences.The first two academic structures, housed at the Pisa site, organize courses for both the  undergraduate course and the PhD course. The Institute of Humanities and Social Sciences, situated in Palazzo Strozzi in Florence, deals only with the PhD course.

  • Research

    A highly qualifying feature of the Normale way is the strong link between teaching and research that is a characteristic of both the undergraduate and the graduate programmes of the Scuola. The research structures of the two Faculties welcome students with a relevant study interest, enabling them to collaborate in a mature way with the activities of the researchers.

  • International

    The Scuola Normale is an institute of a decidedly international nature. Examinations for admission to the undergraduate degree course and for the PhD course are open to all citizens worldwide. A certain number of places on the PhD course are reserved for students from other countries. During the pre laurea and  post lauream teaching courses, study and research programmes are made available at overseas universities and research centres with which the Scuola forms an intense network of collaboration.  The doctorate course in particular is taught in a veritable graduate school in line with the highest international standards. 

Mathematics for Finance

Research activities

The importance of financial markets in the development of contemporary society can hardly be overstated. They make newspaper’s headlines when they crash, but their day to day operations often go unnoticed despite providing capital, liquidity, insurance and information to investors, governments and industries.
In the last half century mathematics has been the driving force of innovation in many aspects of finance.
For example, the Black, Scholes and Merton theory of option pricing has played an essential role in the development of derivative markets, which today are a multi-trillion dollars industry.
The application of mathematical methods to the solution of problems in finance, exploiting tools from applied mathematics, computer science, econometrics and statistics, is at the heart of financial mathematics.
Experts in this field, commonly known as quants, are now employed in banks, hedge funds, insurance companies, and regulatory agencies.
In the past two decades financial markets have undergone a remarkable transformation due to advances in technology and tremendous amounts of data are now available for investigation. This era of big data has brought many new benefits to investors, but also new risks together with new challenges to old assumptions: new mathematical models and tools need to be developed.
The research activity at the Scuola Normale Superiore is concentrated on the theoretical and applied study of financial markets at different time scales, using rigorous mathematical tools as well as quantitative methods, both analytically and empirically. It takes place not only with the involvement with the academic staff and research facilities of the Scuola Normale, but also of researchers from foreign universities (Imperial College London, Oxford University, École Polytechnique, Université Paris 1, City University of New York, Göthe-Universität Frankfurt, ETH Zürich), research centers, banks, investment companies, computer companies, and markets regulators.
Currently the main areas of research are:

  • High frequency finance and market microstructure. The main focus is the mathematical modeling and empirical characterization of high (transactions) and very high (bid-ask, limit order book) frequency financial time series. The areas of interest are the modeling of liquidity, price formation, and the optimal execution of orders. Endogenous instabilities in financial markets, like the 2010 “flash crash”, a very rapid, deep, and volatile fall in security prices occurring within an extremely short time period, show how the speed and interconnectedness of markets and agents can have very critical consequences and result in the loss and recovery of billions of dollars in a matter of minutes and seconds.
  • Dependencies between financial variables, correlation structures and networks. Modelling of dependence between financial variables such as stock returns, the returns of Credit Default Swaps, or trading activities of investors or brokerage firms.
  • Mathematical modeling, computational and empirical analysis for the assessment of systemic risk and the analysis of the mechanisms of contagion in financial and interbank markets. The Financial Crisis of 2007-2009 and the sovereign debt crisis that followed have created renewed interest in this topic, which now extends from bank runs and currency crises to any broad-based breakdown in the financial system.
  • Mathematical modeling, computational and empirical analysis to evaluate the efficiency of financial markets. According to the Efficient Markets Hypothesis, financial markets fully, accurately, and instantly incorporate all available information into market prices. This may be true most of the time but booms, busts, and financial crises suggest that this isn’t always the case.
Teaching activities

Teaching is divided into lecture and seminar courses (all held in English). Graduate students in Financial Mathematics will annually agree with the PhD Coordinator a study plan to be presented to the Faculty Board. Such a document will specify the planned research and education activities for the relevant academic year. The courses will be chosen to enlarge the student background and deepen specific aspects related to the PhD Thesis project. PhD students are expected to take at least three courses and to pass the corresponding exams.At the end of the first year students are expected, in close consultation with the Coordinator and with approval from the Faculty Board, to choose the Thesis supervisor and project. At the end of the second year, PhD students should present a written report concerning the research done and the results achieved so far, together with any publications produced. The report will be discussed in an oral presentation in front of a panel of experts appointed by the Faculty Board. Upon successful performance, the student will be admitted to the third year.
According to research needs, students are encouraged to spend periods of study and research at Italian and foreign institutions.

Courses and other teaching activities 2016-2017

SSD: SECS-S/06 - Mathematics For Economics, Actuarial Studies And Finance
Total hours: 20
SSD: SECS-S/06 - Mathematics For Economics, Actuarial Studies And Finance
Total hours: 30
SSD: MAT/06 - Probability And Mathematical StatisticsSECS-S/06 - Mathematics For Economics, Actuarial Studies And Finance
Total hours: 70
SSD: MAT/07 - Mathematical PhysicsSECS-S/06 - Mathematics For Economics, Actuarial Studies And Finance
Total hours: 30

Courses of the undergraduate degree course also valid for Ph.D students 2016-2017

SSD: CHIM/02 - Physical Chemistry
Total hours: 40
SSD: FIS/02 - Theoretical Physics, Mathematical Models And Methods
Total hours: 60