PhD in Economics and Finance
Bolzano, Italy
DURATION
4 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Oct 2025
TUITION FEES
EUR 180 / per year
STUDY FORMAT
On-Campus
Key Summary
Introduction
Our Ph.D. program leverages the strengths of our multicultural University and international Faculty and provides talented and motivated students with a high-quality education and research environment that best serves their career aspirations. Our ambition is to offer a Ph.D. program that leverages the specific strengths of our University and international Faculty and provides talented and motivated students with a high-quality education and research environment that best serves their career aspirations.
Ourย 4-year full-time Ph.D. program includes one year of core courses as well as individualized training depending on the specific research interests and objectives of the Ph.D. student as recommended by the supervisor. Topic-specific individualย tutoring and mentoring, as well asย funding for research stays abroad are special components of our program.
PhD students will be introduced to specific research areas of the faculty, including Economic Policy Analysis, Financial Markets and Regulation, and Quantitative Methods and Analysis of Big Data, andย have the opportunity to be engaged in corresponding research projects. Our international faculty provides a variety of research opportunities.
Curriculum
- Economics of self-driving and electric vehicles
- The role of public opinion on the quality of government
- The microeconomics of blockchain and cryptocurrencies
- Earnings quality in Private Firms
- The effect of Culture on Earning quality
- Customer Analytics: how to use customer data to make better decision
- Mergers and asset restructuring in the digital financial industry
- Artificial Intelligence in banking
- Banks, regulation, and performance
- Political Economics
- Development Economics
- Organised Crime
- Dependence and Copula Models with emphasis on extremeClustering Techniques with emphasis on time series data analysis
- Applied Theory Topics in Political Economy and Health Economics
- Social Economy
- Industrial organization
- Analysis of high-dimensional network data with applications in economics and finance
- Model selection and assessment of model uncertainty for big econometric data
- Statistical modeling for multivariate spatiotemporal data
- Economic and management decision-making under incomplete preferences, economic and financial data analysis with potentially non-comparable outputs: multivariate quantiles, rank functions and recommender systems
- Games with multidimensional payoffs: equilibrium concepts, payoff guaranteeing strategies, duality based on set-valued approaches
- Financial risk measures & insurance premiums for markets with transaction costs based on set-valued approaches.
- Public Sector Economics
- Development Economics
- Economic History
- Taxes, governance, and payout policy
- Political connections in bank performance
- Econometrics of large and big database
- Energy economics; macro finance
- Bayesian estimation of structural models
- Macroeconomic Dynamics (e.g. dynamic tourism economics, economic growth, and unemployment)
- International Macroeconomic Dynamics (e.g., effects of fiscal austerity policies, debt constraints in an open economy)
- Culture and Finance: The impact of cultural origin on financial outcomes
- State Awards & Corporate Behavior: The interplay between nonpecuniary awards and financial outcomes
- Identification using Historical Financial Data: Using historical settings to mitigate endogeneity concerns
- Immigration and Population Economics
- Health Economics
- Empirical Topics in Labor Economics
- Field Experiments in Behavioral Personnel Economics
- The Economics of Charitable Giving
- Financial Asset Allocation under Parameter Uncertainty
- Theoretical and Empirical Asset Pricing
- Estimating the economic impact of Covid-19 with quantitative finance tools
Gallery
English Language Requirements
Certify your English proficiency with PTE. The faster, fairer, simpler English test, accepted by thousands of universities around the world. PTE, Do it worry-free!
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.