I’m a PhD candidate in Financial Economics at the Frankfurt School, and a research assistant at the Chair of Economic Theory I at Heidelberg University. Prior to my doctoral studies, I studied financial economics at the University of Oxford and gained industry experience.
I will be participating in the 2023-2024 academic job market.
Job Market Paper — Investor Beliefs and Asset Prices Under Selective Memory
- Conferences: WFA 2024, FTG Summer School 2023
I present a consumption-based asset pricing model in which the representative agent selectively recalls past fundamentals that resemble current fundamentals and updates beliefs as if the recalled observations are all that occurred. This similarity-weighted selective memory jointly explains important facts about belief formation, survey data, and realized asset prices. Subjective expectations overreact and are procyclical, the subjective volatility is countercyclical, and the subjective risk premium has a low volatility. In contrast, realized returns are predictably countercyclical, highly volatile, and unrelated to variation of objective risk measures. My results suggest that human memory can simultaneously account for individual-level data and aggregate asset pricing facts.
- Conferences: 50th EGRIE Seminar, European Decision Sciences Day 2023, SEF 2023
AbstractWe propose an experimental method to elicit stopping times—each subject’s complete contingent plan for taking a risk for up to five times—to study repeated risk-taking under precommitment. In addition to time- and outcome-contingent risk-taking, we allow some subjects to use path-dependent or randomized stopping times. Our experimental design thus allows for hundreds of different risk-taking plans. Using an unsupervised machine-learning algorithm, we find that individuals’ risk-taking strategies map well to stop-loss, take-profit, or buy-and-hold strategies. Most strategies are of a continue-when-winning and stop-when-losing type, with a profit-trailing stopping barrier. Path-dependence and randomization are used extensively, even if they are costly. We further analyze dynamic consistency in a sequential risk-taking task and find that subjects largely follow the unconstrained plans that we elicited.
Learning and Strategic Trading in ETF Markets [Paper]
- Conferences: 3rd FutInfo, 15th RGS Doctoral Conference