Svetlana A. Lapinova
- Associate Professor: HSE Campus in Nizhny Novgorod / Faculty of Economics / Department of Economic Theory and Econometrics
- Svetlana A. Lapinova has been at HSE University since 2011.
- Language Proficiency
- English
- German
- Contacts
- Phone:
9546
+78314169546 - Address: Nizhny Novgorod, 25/12 Bolshaya Pecherskaya Ulitsa, room 410
- SPIN-RSCI: 3553-5486
- ORCID: 0000-0002-4127-8135
- ResearcherID: L-6115-2015
- Scopus AuthorID: 6507041863
- Google Scholar
- Office hours
- Tuesday 11.00-13.00; Thursday 11.00-16.00
- Supervisor
- A. M. Silaev
Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!
To be used only for spelling or punctuation mistakes.
Education and Degrees
Lobachevskiy Gorky State University
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
Continuing education / Professional retraining / Internships / Study abroad experience
- Winter School and Workshop on "Networks in Economics and Finance", December 1-5, 2014, Louvain -de-Neuve, Belgium
- III International Summer School "Introduction to Social Network Analisis Methods and Applications" of NRU HSE Internetional Laboratory for Applied Network Research, July 7-11, Moscow, Russia. Topic of final reseach project: "Social Network as Theoretical Paradigm for Empirical Research in Financial Marcet &Volatility"
Courses (2024/2025)
- Financial Economics: Instrumental Methods (Bachelor’s programme; Faculty of Economics field of study Economics; 4 year, 3 module)Rus
- Introduction into Python (Bachelor’s programme; Faculty of Management (Nizhny Novgorod) field of study Economics, Management; 2 year, 2, 3 module)Rus
- Programming in Python (Bachelor’s programme; Faculty of Management (Nizhny Novgorod) field of study Management; 2 year, 3 module)Rus
- Python for data analysis in economics and management (Master’s programme; Faculty of Economics field of study Management, Economics, Applied Mathematics and Informatics; 1 year, 1 module)Rus
- Python for data analysis in economics and management (Mago-Lego; 1 module)Rus
- SQL for data analysis (Master’s programme; Faculty of Economics field of study Management, Economics, Applied Mathematics and Informatics; 1 year, 4 module)Rus
- SQL for data analysis (Mago-Lego; 4 module)Rus
- Time series analysis using machine learning methods (Mago-Lego; 3 module)Rus
- Past Courses
Courses (2023/2024)
- Data Analysis in Economics and Finance (Bachelor’s programme; Faculty of Economics field of study Economics; 5 year, 1, 2 module)Rus
- Data Analysis in Economics and Finance (Bachelor’s programme; Faculty of Economics field of study Economics; 4 year, 2 module)Rus
- Data Analysis in Economics and Finance (Bachelor’s programme; Faculty of Economics field of study Economics; 3 year, 4 module)Rus
- Financial Economics: Instrumental Methods (Bachelor’s programme; Faculty of Economics field of study Economics; 4 year, 3 module)Rus
- Introduction to Python for Data Science (Bachelor’s programme; Faculty of Management (Nizhny Novgorod) field of study Economics; 2 year, 2, 3 module)Rus
- Probability theory and statistics for data analysis (Optional course (faculty); 2 module)Rus
- SQL for Data Analysis (Master’s programme; Faculty of Economics field of study Economics; 1 year, 3, 4 module)Rus
- SQL for Data Analysis (Mago-Lego; 3, 4 module)Rus
- Statistical Approaches to Data Analysis (Bachelor’s programme; Faculty of Economics field of study Economics; 2 year, 2 module)Rus
- Statistics for data analysis (Bachelor’s programme; Faculty of Economics field of study Economics; 3 year, 1 module)Rus
Courses (2022/2023)
- Data Analysis in Economics and Finance (Bachelor’s programme; Faculty of Economics field of study Economics; 4 year, 2 module)Rus
- Data Analysis in Economics and Finance (Bachelor’s programme; Faculty of Economics field of study Economics; 2 year, 1 module)Rus
- Financial Economics: Instrumental Methods (Bachelor’s programme; Faculty of Economics field of study Economics; 4 year, 3 module)Rus
- Introduction into Python (Bachelor’s programme; Faculty of Economics field of study Economics; 2 year, 3 module)Rus
- Practicum on Empirical Methods of Economic Analysis (Bachelor’s programme; Faculty of Economics field of study Economics; 3 year, 4 module)Rus
- Preliminary Processing and Presentation of Statistical Data (Minor; Faculty of Economic Sciences; 1, 2 module)Rus
- Random processes in economics (Postgraduate course field of study Economics; 2 year, 1 semester)Rus
- Research Seminar "Professional Research in Economics and Finance" (Bachelor’s programme; Faculty of Economics field of study Economics; 4 year, 1 module)Rus
- SQL for data analysis (Master’s programme; Faculty of Economics field of study Economics; 1 year, 3 module)Rus
- SQL for data analysis (Mago-Lego; 3 module)Rus
Courses (2021/2022)
- Financial Economics: Instrumental Methods (Bachelor’s programme; Faculty of Economics field of study Economics; 4 year, 3 module)Rus
- Introduction into Python (Bachelor’s programme; Faculty of Economics field of study Economics; 2 year, 4 module)Eng
- Practicum on Empirical Methods of Economic Analysis (Bachelor’s programme; Faculty of Economics field of study Economics; 3 year, 4 module)Rus
- Project Seminar "Economic Thinking" (Bachelor’s programme; Faculty of Economics field of study Economics; 1 year, 1-3 module)Rus
- Random processes in economics (Postgraduate course field of study Economics; 2 year, 1 semester)Rus
- Research Seminar "Professional Research in Economics and Finance" (Bachelor’s programme; Faculty of Economics field of study Economics; 3 year, 1-4 module)Rus
- Research Seminar "Professional Research in Economics and Finance" (Bachelor’s programme; Faculty of Economics field of study Economics; 4 year, 1 module)Rus
Courses (2020/2021)
- Comparison Methods and Statistical Data Classification (Minor; Faculty of Economics; 3, 4 module)Rus
- Financial Economics: Instrumental Methods (Bachelor’s programme; Faculty of Economics field of study Economics; 4 year, 3 module)Rus
- Models and Primary Analysis of Statistical Data (Minor; Faculty of Economics; 1, 2 module)Rus
- Practicum on Empirical Methods of Economic Analysis (Bachelor’s programme; Faculty of Economics field of study Economics; 3 year, 4 module)Rus
- Random processes in economics (Postgraduate course field of study Economics; 2 year, 1 semester)Rus
- Research Seminar "Economic Thinking" (Bachelor’s programme; Faculty of Economics field of study Economics; 1 year, 1-3 module)Rus
- Scientific Research Seminar "Modern Problems and Methods of Research in Economics and Finance" (Bachelor’s programme; Faculty of Economics field of study Economics; 3 year, 1-4 module)Rus
- Scientific Research Seminar "Tools and Methods of Data Analysis in Economics and Finance" (Bachelor’s programme; Faculty of Economics field of study Economics; 1 year, 4 module)Rus
Employment history
NNGU, Department of Mathematics, Faculty of Radiophysics, associate Professor since 2004
Conferences
- 2016
Modern Econometric Tools and Applications – META2016 (Нижний Новгород). Presentation: Comparative analysis of stochastic and regressional approaches to estimation of a period of the change in the state of intraday volatility in financial markets using a model of system with a nonlinear potential profile
Новые перспективы в стохастическом анализе (Москва(Снегири)). Presentation: «Модель интегральной волатильности, принимающая во внимание объем продаж»
ХХ научной конференции по радиофизике, посвящённой 110-летию со дня рождения Г.С. Горелика (Нижний Новгород). Presentation: Оценка волатильности коррелирующих случайных процессов.
- 2015
2nd International Conference "Modern Econometric Tools and Applications" (Нижний Новгород). Presentation: The estimation of the parameters mutual influence of volatilities of return assets of the oil companies and the oil futures
Workshop New Trends in Stochastic Analysis and New Trends in statistical analysis of time series (Снегири). Presentation: Factors mutual influence of multivariate time series on the example of intraday volatility of stock returns of oil companies
XIX научной конференции по радиофизике, посвященной 70-летию радиофизического факультета (Нижний Новгород). Presentation: Математическая модель оценки вероятностей состояний и эффективности работы систем с несколькими агентами
HSE Nizhny Novgorod Hosts Fourth International Conference in Econometrics
From June 22 – 24, 2017, the 4th international conference in econometrics ‘Modern Econometric Tools and Applications’ took place at HSE in Nizhny Novgorod. Andrey Maximov, Professor, Head of theDepartment of Economic Theory and Econometrics and chair of the conference organizing committee, shared a brief overview of what the event achieved.