Poslední úprava: PhDr. František Čech, Ph.D. (31.01.2023)
The course provides basic foundations of modern asset pricing theory and aims at students interested in investment decisions, portfolio theory and risk management. Topics covered include portfolio and diversification theory, equilibrium capital markets and portfolio performance measures.
There are no formal course requirements. However, knowledge up to the level of Statistics (JEB105), Econometrics I & II (JEB109, JEB110) and Data Science with R I (JEM227) courses is assumed and expected.
Poslední úprava: PhDr. František Čech, Ph.D. (31.01.2023)
The course provides basic foundations of modern asset pricing theory and aims at students interested in investment decisions, portfolio theory and risk management. Topics covered include portfolio and diversification theory, equilibrium capital markets and portfolio performance measures.
There are no formal course requirements. However, knowledge up to the level of Statistics (JEB105), Econometrics I & II (JEB109, JEB110) and Data Science with R I (JEM227) courses is assumed and expected.
Podmínky zakončení předmětu -
Poslední úprava: PhDr. František Čech, Ph.D. (08.02.2023)
The final mark of up to 100 points consists of:
Final Exam: 50 (required at least 25 points)
Home assignments: 50 (required at least 25 points)
Poslední úprava: PhDr. František Čech, Ph.D. (14.02.2022)
The course closely follows two textbooks:
Bodie, Z., Kane, A., Marcus, A. (2014): Investments, New York: McGraw-Hill.
Bali, T. G., Engle, R. F. and Murray, S. (2016) Empirical asset pricing: The cross-section of stock returns. Wiley-Blackwell. (https://ebookcentral.proquest.com/lib/cuni/detail.action?docID=4451896)
Other recommended textbooks:
Reilly, F., Brown, K. and Leeds, S. J. (2018) Investment Analysis and Portfolio Management.
Back, K. E., (2017): Asset pricing and portfolio choice theory, Oxford: Oxford University Press.
Cochrane, J. H. (2005): Asset Pricing, Princeton: Princeton University Press.
Munk C. (2007): Financial Asset Pricing Theory, Oxford: Oxford University Press.
Sharpe, W.S. (2008): Investors and Markets_ Portfolio Choices, Asset Prices, and Investment Advice, Princeton: Princeton University Press.
Hull, J.C. (2015): Risk Management and Financial Institutions, New Jersey: Wiley.
Poslední úprava: PhDr. František Čech, Ph.D. (14.02.2022)
The course closely follows two textbooks:
Bodie, Z., Kane, A., Marcus, A. (2014): Investments, New York: McGraw-Hill.
Bali, T. G., Engle, R. F. and Murray, S. (2016) Empirical asset pricing: The cross-section of stock returns. Wiley-Blackwell. (https://ebookcentral.proquest.com/lib/cuni/detail.action?docID=4451896)
Other recommended textbooks:
Reilly, F., Brown, K. and Leeds, S. J. (2018) Investment Analysis and Portfolio Management.
Back, K. E., (2017): Asset pricing and portfolio choice theory, Oxford: Oxford University Press.
Cochrane, J. H. (2005): Asset Pricing, Princeton: Princeton University Press.
Munk C. (2007): Financial Asset Pricing Theory, Oxford: Oxford University Press.
Sharpe, W.S. (2008): Investors and Markets_ Portfolio Choices, Asset Prices, and Investment Advice, Princeton: Princeton University Press.
Hull, J.C. (2015): Risk Management and Financial Institutions, New Jersey: Wiley.
Sylabus -
Poslední úprava: PhDr. František Čech, Ph.D. (08.02.2023)
SYLLABUS
INTRODUCTION
Investment Environment
Asset Classes and Financial Instruments
Risk, Return, and Historical Record
BKM Ch 1, 2, 5 / RBL Ch 1, 2
PORTFOLIO THEORY AND PRACTICE
Capital Allocation to Risky Assets
Optimal Risky Portfolios
Index Models
BKM Ch 6-8 / RBL Ch 6
EQUILIBRIUM CAPITAL MARKETS
Capital Asset Pricing Model
Arbitrage Pricing Theory
BKM Ch 9, 10, 13 / RBL Ch 7
APPLIED PORTFOLIO MANAGEMENT
Portfolio Performance Evaluation
BKM 24 / RBL Ch 18
HOMEWORK 1 - data collection
assigned: March 14, 2023
deadline: April 6, 2023
EMPIRICAL ASSET PRICING - Preliminaries
Preliminaries
Summary Statistics
Correlation
Persistence Analysis
Portfolio Analysis
Fama and Macbeth Regression Analysis
BEM Ch 1 - 6
HOMEWORK 2 - Empirical Asset Pricing I
assigned: April 11, 2023
deadline: May 2, 2023
EMPIRICAL ASSET PRICING - The Cross-Section of Stock Returns
Market Factor
Beta
The Size Effect
The Value Premium
The Momentum Effect
Short-Term Reversal
Liquidity
Skewness
Idiosyncratic Volatility
BEM Ch 7-15
HOMEWORK 3 - Empirical Asset Pricing II
assigned: April 27, 2023
deadline: June 10, 2023
VALUE-AT-RISK
Risk Management
Value-at-Risk
Expected Shortfall
Coherent Risk Measures
Extreme Value Theory
Back-Testing
H 12-13
Note: The instructor reserves the right to modify the content of the course and will notify students accordingly (in class and in Student Information System).
Poslední úprava: PhDr. František Čech, Ph.D. (08.02.2023)
SYLLABUS
INTRODUCTION
Investment Environment
Asset Classes and Financial Instruments
Risk, Return, and Historical Record
BKM Ch 1, 2, 5 / RBL Ch 1, 2
PORTFOLIO THEORY AND PRACTICE
Capital Allocation to Risky Assets
Optimal Risky Portfolios
Index Models
BKM Ch 6-8 / RBL Ch 6
EQUILIBRIUM CAPITAL MARKETS
Capital Asset Pricing Model
Arbitrage Pricing Theory
BKM Ch 9, 10, 13 / RBL Ch 7
APPLIED PORTFOLIO MANAGEMENT
Portfolio Performance Evaluation
BKM 24 / RBL Ch 18
HOMEWORK 1 - data collection
assigned: March 14, 2023
deadline: April 6, 2023
EMPIRICAL ASSET PRICING - Preliminaries
Preliminaries
Summary Statistics
Correlation
Persistence Analysis
Portfolio Analysis
Fama and Macbeth Regression Analysis
BEM Ch 1 - 6
HOMEWORK 2 - Empirical Asset Pricing I
assigned: April 11, 2023
deadline: May 2, 2023
EMPIRICAL ASSET PRICING - The Cross-Section of Stock Returns
Market Factor
Beta
The Size Effect
The Value Premium
The Momentum Effect
Short-Term Reversal
Liquidity
Skewness
Idiosyncratic Volatility
BEM Ch 7-15
HOMEWORK 3 - Empirical Asset Pricing II
assigned: April 27, 2023
deadline: June 10, 2023
VALUE-AT-RISK
Risk Management
Value-at-Risk
Expected Shortfall
Coherent Risk Measures
Extreme Value Theory
Back-Testing
H 12-13
Note: The instructor reserves the right to modify the content of the course and will notify students accordingly (in class and in Student Information System).
