Marco Grotteria

Assistant Professor of Finance

PhD (Wharton)

Dr Marco Grotteria holds a PhD in Finance from the Wharton School at the University of Pennsylvania. With research interests spanning the likes of asset pricing, macroeconomics, finance and politics – his work has been published in journals including the likes of the Review of Financial Studies.


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


Risk-Free Interest Rates

van Binsbergen J H; Diamond W F; Grotteria M

Journal of Financial Economics 2021 In Press


Cyclical Dispersion in Expected Defaults

Gomes J F; Grotteria M; Wachter J A

Review of Financial Studies 2019 Vol 32:4 p 1275-1308


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

Cram R G; Grotteria M

Social Sciences Research Network


Follow the money

Grotteria M

Social Sciences Research Network

Foreseen risks

Gomes J F; Grotteria M; Wachter J A

NBER Working Paper

Risk-free interest rates

van Binsbergen J H; Diamond W; Grotteria M

NBER Working Paper

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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    • 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.
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