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Roberto Gomez Cram

Assistant Professor of Finance

PhD (Wharton)

Dr Roberto Gomez-Cram’s research interests include asset pricing, applied time series econometrics and investments. Dr Roberto previously worked as an Assistant Economist at the Central Bank of Mexico. He holds a PhD in Finance from the Wharton School at the University of Pennsylvania.

2023

Threats to Central Bank Independence: High-Frequency Identification with Twitter

Bianchi F; Gomez-Cram R; Kind T; Kung H

Journal of Monetary Economics 2023 In Press

2022

Late to Recessions: Stocks and the Business Cycle

Gomez-Cram R

Journal of Finance 2022 Vol 77:2 p 923-966

Real-time price discovery via verbal communication: Method and application to Fedspeak

Gomez-Cram R; Grotteria M

Journal of Financial Economics 2022 Vol 143:3 p 993-1025

2021

How important are inflation expectations for the nominal yield curve?

Gomez-Cram R; Yaron A

Review of Financial Studies 2021 Vol 34:2 p 985-1045

2022

Measuring the Effects of the Global Tax Reform - Evidence from High-frequency Data

Gomez-Cram R; Olbert M

Social Sciences Research Network

2020

Late to Recessions: Stocks and the Business Cycle

Gomez-Cram R

Working Paper

Real-time Price Discovery via Verbal Communication: Method and Application to Fedspeak

Cram R G; Grotteria M

Social Sciences Research Network

2018

Stock return predictability: riding the risk premium

Gomez-Cram R

Social Sciences Research Network


Teaching portfolio

Our teaching offering is updated annually. Faculty and programme material are subject to change.

  • Masters Degrees core courses

    A key part of our Masters programmes curriculum.

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    • Finance I
      Build technical and theoretical know-how by understanding the foundations of finance, with an emphasis on applications. Discuss many of the major financial decisions corporate managers make, both within the firm and in their interactions with investors. Essential to this decision making is the process of valuation, an important focus of the course. Topics include criteria for making investment decisions, valuation of financial assets and liabilities, relations between risk and return, derivative securities (options) and mergers and acquisitions.
      PROGRAMMES WITH THIS CORE COURSE
    • Investment Fundamentals
      This is a rigorous foundations course in investment analysis covering the basics of fixed income, equity and derivative securities as well as modern portfolio theory (how to invest across different securities/assets or asset classes). The focus is on understanding how to value securities, how to measure/manage the risk of these securities, the relationship between risk and return and the practical application of these concepts. Asset Management: Consider how to allocate wealth into different asset classes and investment strategies. You’ll explore the contribution of fixed income in equity portfolios and the role of alternative investments. Focus on long-term investing with a coherent modelling of assets and liabilities, and performance evaluation; look into recent development of more complex investment products; and compare and contrast them with traditional fund structures. This will include the limits to arbitrage and the costs of implementing actual trading
      PROGRAMMES WITH THIS CORE COURSE
    • Investments
      Learn the frameworks for financial decision-making through a robust understanding of the principles and practice of financial management. Explore advanced theories in the valuation of investments, management of portfolios and risk management strategies: Articulate the principle of “no-arbitrage” and why this is an important concept for valuing financial assets ;Calculate the value of risk-free and riskless cash flow streams, inc those accruing to real investment projects and financial assets ;Hedge an asset or liability’s exposure to changes in interest rates; Understand why the term structure of interest rates is important; Explain the theoretical basis for modern portfolio theory including its implementation and limitations ;Model and evaluate portfolio risk using factor models ;Value forward and futures contracts using the principle of no-arbitrage ;Value options using replicating portfolios, binomial option pricing, and the Black-Scholes model.
      PROGRAMMES WITH THIS CORE COURSE
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