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Бакалавриат 2025/2026

Управление инвестиционным портфелем

Когда читается: 4-й курс, 1-4 модуль
Охват аудитории: для своего кампуса
Язык: английский

Course Syllabus

Abstract

Pre-requisites: Microeconomics, basic calculus and probability theory, linear algebra, Principles of banking and finance. Investment Management is a year-long course for 4th year students at ICEF. The course is taught in English.
Learning Objectives

Learning Objectives

  • provide an overview of institutional details linked to financial markets and the trading process
  • provide an overview of historical trends and innovations in financial instruments and trading processes
  • provide an overview of various financial instruments
  • provide insight into the use of finance theory in investment management
  • provide a guide to the measurement and analysis of risk of financial investments
  • provide a guide to the measurement of performance of fund management
  • address key issues in risk management
Expected Learning Outcomes

Expected Learning Outcomes

  • Able to solve professional problems based on synthesis and analysis
  • provide an overview of institutional details linked to financial markets and the trading process, define market microstructure and evaluate its importance to investors
  • evaluate the investment attractiveness of the main financial assets to be included in the investment portfolio using quantitative and/or qualitative methods and considering their (methods) limitations
  • сalculate and interpret the value and returns of security market indexes, discuss how they are used in investment management industry
  • provide insight into the use of finance theory in investment management
  • apply the principles of portfolio planning and construction to develop an investment policy statement depending on the type of investor and his individual characteristics
  • develop investment strategies for portfolio management, taking into account regulatory aspects, risk budgeting, and other restrictions, identify investment opportunities globally
  • calculate and interpret the main indicators for evaluating the effectiveness of portfolio management and analyzing the results obtained in comparison with the selected benchmark
  • implement the risk management techniques
  • analyze and interpret domestic and foreign statistics, economic and financial market indicators relevant for making investment decisions, identify global trends
  • provide a critical view on the financial markets’ evolution process, recent fintech innovations & trends
  • refer to sources of information, collect initial data, systematize information and present information in a visual form
  • Perform the empirical methods used to test the Capital Asset Pricing Model (CAPM).
  • Evaluate empirical evidence on multifactor models
  • Select the financial classes and instruments suitable for a particular investment strategy
  • Be able to follow the key steps in the Investment Management Process
  • Evaluate the benefits and challenges of international investment and diversification.
  • Apply the key theories and mechanisms that drive international exchange rates and FX markets.
  • Apply and critically evaluate parity conditions and related models to analyze exchange rate behaviors and arbitrage opportunities.
  • Assess recent financial innovations and the role of Fintech in transforming investment and wealth management.
  • Analyze how AI and Big Data are applied in investment management to enhance decision-making and operational efficiency.
  • Identify key investor biases and behavioral theories that influence financial market outcomes and contribute to anomalies.
  • Assess the implications of limits to arbitrage and performance-based arbitrage on market efficiency and asset mispricings.
  • Evaluate the significance of investment anomalies and their impact on market efficiency and asset pricing models.
  • Apply statistical techniques to identify, analyze, and interpret various investment anomalies in financial data.
  • Analyze the different forms of the Efficient Markets Hypothesis (EMH) and evaluate empirical evidence supporting or challenging each.
  • Apply statistical methods, such as event studies, to test market efficiency and interpret the implications for investment strategies and market behavior.
  • Assess the role of portfolio management in personal and institutional finance, considering key challenges such as market volatility, regulatory and geopolitical issues, and emerging investment opportunities.
  • Utilize statistical methods to analyze and evaluate the risk and return profiles of individual securities and investment portfolios.
  • Analyze various approaches to estimating Value at Risk (VaR) and examine their advantages and limitations, including extensions such as Conditional VaR (CVaR), Incremental VaR (IVaR), and Relative VaR.
  • Apply risk management techniques, including the use of constraints, sensitivity measures, scenario analyses, and hedging strategies, to manage extreme risks and allocate risk capital effectively.
  • Examine different types of risk, methods of risk decomposition, and various risk-adjusted performance measures, including early techniques and composite portfolio performance evaluation.
  • Assess factors influencing the application of performance measures, evaluate bond portfolio performance, and analyze performance measurement methods in dynamic portfolios involving market timing.
  • Explain bond mathematics, the term structure of interest rates, yield to maturity, and duration; evaluate bond portfolio performance, style, and strategic approaches.
  • Analyze bond portfolio management strategies—including passive, active, core-plus, matched-funding, contingent, and structured management—and examine techniques such as immunization and interest rate swaps.
  • Compare active and passive investment strategies, assess the role of equities in a portfolio, and evaluate approaches to passive equity investing, including benchmark selection and tracking error management.
  • Analyze techniques for immunizing equity portfolios, transforming diversified portfolios into arbitrage portfolios, and constructing active equity portfolios using various management strategies and building blocks.
  • Assess the application of economic analysis in investment decision-making, including business cycle phases, sector rotation, and the interpretation of key economic indicators such as GDP, labor markets, and production variables.
  • Examine macroeconomic influences on capital markets by analyzing financial market indicators, interpreting central bank interest rate decisions, yield curves, market volatility, and commodity prices to inform investment strategies.
Course Contents

Course Contents

  • Introduction to the course. The investment setting & issues. Revision of key formulars (statistical prerequisites)
  • Modern Portfolio Theory and Capital Asset Pricing Model (CAPM)
  • CAPM: Empirical Tests
  • Multi-factor models
  • Market efficiency
  • Investment anomalies
  • Behavioural finance
  • Evolution of Financial Markets & Instruments
  • Advanced Perspectives on Asset Classes and Financial Instruments
  • The Investment Management Process
  • Economic and Market Analysis for Investment
  • Equity Portfolio Management
  • Managing Bond Portfolios
  • Risk and Performance Measurement
  • Risk Management
  • International finance
  • International asset allocation
Assessment Elements

Assessment Elements

  • non-blocking 1st semester written assessment (covering the topics of the 1-2 modules)
  • non-blocking Homework Assignments (1-4 modules)
  • non-blocking Class assignments & quizzes, attendance, activity & participation (1-4 modules)
  • blocking Final Exam
    In order to get a passing grade for the course, the student must sit (all parts) of the examination.
Interim Assessment

Interim Assessment

  • 2025/2026 4th module
    0.29 * 1st semester written assessment (covering the topics of the 1-2 modules) + 0.12 * Class assignments & quizzes, attendance, activity & participation (1-4 modules) + 0.4 * Final Exam + 0.19 * Homework Assignments (1-4 modules)
Bibliography

Bibliography

Recommended Core Bibliography

  • Dempsey, M. (2020). Investment Analysis : An Introduction to Portfolio Theory and Management. London: Routledge. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2278900
  • Pagdin, I., & Hardy, M. (2017). Investment and Portfolio Management : A Practical Introduction (Vol. 1st). London: Kogan Page. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1621031
  • Stewart, S. D., Piros, C. D., & Heisler, J. (2019). Portfolio Management : Theory and Practice (Vol. Second edition). Hoboken, New Jersey: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2091393

Authors

  • Dimova Elena Anatolevna