KTTS4190 Empirical Analysis in Asset Pricing (5 op)

Opinnon taso:
Syventävät opinnot
Arviointiasteikko:
0-5
Suorituskieli:
englanti
Vastuuorganisaatio:
Jyväskylän yliopiston kauppakorkeakoulu
Opetussuunnitelmakaudet:
2024-2025, 2025-2026, 2026-2027, 2027-2028

Kuvaus

In this course, the course participants study established econometric methodologies often used in the literature on empirical asset pricing. These methodologies include the seemingly unrelated regression model (SUR), principal component analysis (PCA), cross-sectional Fama MacBeth regressions or generalized methods of moments (GMM). The participants learn how to implement and modify these econometric methodologies using a matrix-based program which is often used in the finance industry.


Course themes are related to the following UN Sustainable Development Goals:

SDG 4: Quality education: Course involves rigorous quantitative analysis and hands-on experiences, which helps students to develop strong analytical and critical thinking skills as well as increases their practical knowledge.

SDG 8: Decent work and economic growth: Empirical analysis in asset pricing contributes to a better understanding of financial markets, which is crucial for economic growth and the creation of decent jobs. It provides insights into how financial markets function and how they impact the broader economy.

Osaamistavoitteet

On successful completion of the course, students will be able to:

· evaluate the performance of various empirical asset pricing models used in finance;

· test asset pricing models using econometric tests;

· critically analyze asset pricing anomalies in the cross section of asset returns;

· understand trading strategies implemented as zero-cost portfolios and analyze their performance;

· risk-adjust zero-cost portfolios and interpret alphas and factor loadings.


Contents of the course are related to the following working life skills (generic skills):

-analytic, systematic thinking skills;

-critical evaluation and assessment;

-creative problem solving;

-statistical modelling;

-written communicating skills.

Lisätietoja

Recommended timing for BIF students: 2nd year.
Recommended timing for Finnish M.Sc. degree students: 4rd or 5th year.

Pakolliset esitiedot

Oppimateriaalit

Research papers.
Lecture materials will be provided by the instructor.

Kirjallisuus

  • Asness, C.S., Moskowitz, T.J., Pedersen L.H. 2013. Value and Momentum Everywhere. Journal of Finance 68, 929-985.
  • Daniel, K., T. Moskowitz. 2016. Momentum crashes. Journal of Financial Economics 122, 221–247.
  • Hou, K., C. Xue, L. Zhang. 2018. Replicating anomalies. Review of Financial Studies 32, 1–115.
  • Jegadeesh, N., and S. Titman. 1993. Returns to buying winners and selling losers: Implications for stock market efficiency. Journal of Finance 48, 65–91.
  • Fama, E. F., K. F. French. 1993. Common risk factors in the returns on stocks and bonds. Journal of Financial Economics 33, 3–56.
  • Fama, E., French, K.R. 2015. A Five-Factor Asset Pricing Model. Journal of Financial Economics 116, 1-22.
  • Fama, E., French, K.R. 2017. International Tests of A Five-Factor Asset Pricing Model. Journal of Financial Economics 123, 441-463.
  • Fama, E., French, K.R. 2018. Choosing Factors. Journal of Financial Economics 128, 234-252.
  • Moreira, A., T. Muir. 2017. Volatility managed portfolios. Journal of Finance 72, 1611-1644.
  • Wahal, S. 2019. The profitability and investment premium: Pre-1963 evidence. Journal of Financial Economics 131, 362–377.

Suoritustavat

Tapa 1

Arviointiperusteet:
Independent home assignments.
Opetusajankohta:
Periodi 2
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Osallistuminen opetukseen (5 op)

Tyyppi:
Osallistuminen opetukseen
Arviointiasteikko:
0-5
Suorituskieli:
englanti
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