Ipek Akbelen
Master's Student in Econometrics and Mathematical Economics
London School of Economics and Political ScienceÂ
📧 i.akbelen@lse.ac.ukÂ
Master's Student in Econometrics and Mathematical Economics
London School of Economics and Political ScienceÂ
📧 i.akbelen@lse.ac.ukÂ
MSc student in Econometrics and Mathematical Economics at LSE, specializing in Quantitative Methods for Finance, Risk Analysis, Portfolio Management, Advanced Microeconomics, Advanced Macroeconomics, and Econometric Analysis. Graduated with high distinction from TUM, where I was on the dean's list, combining management and computer engineering with research on the effects of economic uncertainty on stock returns. Explore my current courses:Â
Econometric Analysis, Portfolio Management, Risk Analysis, Advanced Microeconomics, Advanced Macroeconomics
Current Academic Coursework in Economics and FinanceÂ
EC417 Advanced Macroeconomics: Explores business cycle dynamics and growth patterns through models like New Keynesian and Real Business Cycle, focusing on the analysis of macroeconomic shocks and policy responses.
EC487 Advanced Microeconomics: Develops theoretical tools for analyzing strategic behavior, market structures, and decision-making under uncertainty, emphasizing game theory applications.
FM442 Quantitative Methods for Finance and Risk Analysis: Introduces advanced statistical techniques, including GARCH models and Monte Carlo simulations, to measure and manage financial risk in real-world applications.
FM445 Portfolio Management: Examines portfolio optimization, asset allocation, and risk-return trade-offs, with a focus on constructing and evaluating equity portfolios using multi-factor models.
EC484 Econometric Analysis: This course provides an advanced treatment of estimation and inference for econometric models. It covers linear and nonlinear regression, generalized method of moments (GMM), instrumental variable (IV) regression, nonparametric methods, and limited dependent variable models. A strong focus is placed on asymptotic statistical theory, including modes of convergence, central limit theorems, and the consistency and asymptotic distribution of extremum estimators, with applications to regression and extensions to time series analysis.Â
Adapted from LSE Course Guides, 2024-2025