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Regular version of the site
Master 2021/2022

Methodological Research Seminar

Type: Compulsory course (Strategic Corporate Finance)
Area of studies: Finance and Credit
Delivered by: School of Finance
When: 1 year, 1, 2 module
Mode of studies: offline
Open to: students of one campus
Master’s programme: Strategic Corporate Finance
Language: English
ECTS credits: 5
Contact hours: 40

Course Syllabus

Abstract

The research seminar is aimed to introduce the master students to the world of research in the area of finance. Research in this area applies specific mathematical and econometrical methods, as well as the perfect data mining skills. The course includes the methodological part and the topic development part. Both parts of the research seminar aim to help students to develop the academic writing skills and a number of soft skills that are useful for a financier (e.g. presentation skills, team work, project management). The first part of research seminar aims at fostering discussion and interaction on some topics as Omitted variable problem, Simultaneity, Measurement error, Selection, Event Studies etc. with examples of Corporate Finance papers. Key recent papers will be selected and discussed among the participants. The objective is to develop the necessary tools and understanding for future identification and implementing in research. Simulation of real conference/seminar format as well as writing of a short literature review will help participants to get the initial core techniques of scientific work. To follow this course the basic courses of finance and microeconomics are the prerequisites.
Learning Objectives

Learning Objectives

  • To provide the student with proper tools and skills for starting their own research in the area of finance.
Expected Learning Outcomes

Expected Learning Outcomes

  • Students will learn how to use the main databases of academic sources available through the HSE library.
  • Be able to formulate and verify his or her own research question
  • Deal with a number of econometric problems frequently faced in financial research (including Omitted variable problem, Simultaneity, Measurement error, Selection Bias)
  • Able to retrieve data from open statistical databases, archives, and other public sources.
  • Be able to structure a research paper, formulate research question, write abstract
  • To demonstrate the ability to write valid and understandable research proposal
  • This course will prepare students to write proposals for their diploma topics, as required of them, in English
Course Contents

Course Contents

  • Topic 1. Data mining: introduction to the Bloomberg terminal
  • Topic 3. Econometrics problems in finance & Event study techniques. Madina Karamysheva.
  • Topic 2.2. Hypotheses, choice of theoretical, qualitative and/or quantitative analysis
  • Topic 4. Multifactor asset pricing models. Victoria Dobrynskaya
  • Topic 2.1. Research question and literature review
  • Topic 2.3. Writing introduction and conclusion in research papers
  • Topic 6. The integrated / non-financial reporting of the companies.
  • Master-classes on using Capital IQ and Thomson Reuters Eikon databases.
  • Мастер-класс по базе данных Thomson Reuters Eikon для МНИС СУФФ
Assessment Elements

Assessment Elements

  • non-blocking Обзор литературы
    Домашнее задание по тематикам семинаров. Презентации самостоятельных исследований
  • non-blocking Репликация статьи
    Домашнее задание по тематикам семинаров. Презентации самостоятельных исследований
  • non-blocking Посещение семинаров
  • non-blocking Презентация ВКР (предзащита)
  • non-blocking Обзор литературы
    Домашнее задание по тематикам семинаров. Презентации самостоятельных исследований
  • non-blocking Репликация статьи
    Домашнее задание по тематикам семинаров. Презентации самостоятельных исследований
  • non-blocking Посещение семинаров
  • non-blocking Презентация ВКР (предзащита)
Interim Assessment

Interim Assessment

  • 2021/2022 2nd module
    0.3 * Обзор литературы + 0.3 * Презентация ВКР (предзащита) + 0.1 * Посещение семинаров + 0.3 * Репликация статьи