I am a PhD candidate in economics at LMU Munich.
My research focuses on Behavioral Economics and Finance. I use theory, experiments, and observational data to study how people process information and how this influences individual decisions and, ultimately, market outcomes.
I am on the 2025-2026 Job Market!
Email: marcel.quint@econ.lmu.de
CV: here
[JMP] The Interaction of Memory Imperfections (with Johannes Maier)
Abstract: We investigate how two pervasive imperfections of human memory – motivated recall (remembering “good” rather than “bad” information) and similarity-based recall (remembering information similar to current information) – interact. We propose a theoretical model of recall in which these biases can reinforce or offset each other, depending on the cognitive effort invested in recall. With lower effort exerted, the two biases are more complementary, as people rely more on intuitive reasoning and thereby become more able to exploit similarity to self-servingly bias their recall. We test the model’s predictions in a laboratory experiment that varies both motivation and contextual similarity. Consistent with the model, we find that the two biases are complements on average, in particular when recall effort is low. The interaction shapes beliefs and behavior (such as trading and policy responses), so that simply “adding up” the biases’ isolated effects would lead to misguided inferences under their coexistence. We further show that imperfect memory is equally important in explaining distorted beliefs as non-Bayesian updating.
Counterfactual Thinking Among Retail Investors (with Lukas Mertes)
Abstract: We show that individuals consider counterfactual outcomes when evaluating their investment decisions. Using individual investor trading data, we find that the likelihood of selling a stock is higher for stocks that performed better than an alternative investment benchmark than for stocks that performed worse. This effect exists when considering the overall market as well as the focal stock's industry as an alternative investment. It is distinct from (and can even subsume) the Disposition Effect, the Portfolio-Driven Disposition Effect, the Rank Effect, and cannot be explained by stock characteristics. This evidence thus highlights that individuals do not evaluate financial investments in isolation, but in relation to alternative investments they could have made instead.
Climate Experiences and Investor Behavior
Abstract: Beliefs about future risks are often shaped by both information and personal experience. This paper investigates how experiencing climate catastrophes shapes individual beliefs and investment behavior related to climate change. Using survey data from the US, I show that experiencing a climate catastrophe significantly increases concerns about climate change even years after the event occurred. To isolate the role of personal experience from that of information, I compare beliefs in neighborhoods directly affected by climate catastrophes with adjacent neighborhoods that experience similar informational exposure but are physically unaffected. The results confirm that personal experience significantly influences beliefs beyond informational effects alone, with stronger effects for more recent and frequently experienced catastrophes. I further investigate whether these experiences cause a belief-driven shift in investment behavior and lead investors to adjust their portfolios towards companies with smaller carbon footprints. However, I find no evidence that personal experiences of climate catastrophes cause changes in investment behavior.
Motivated Reference Points in Financial Decisions (with Lukas Mertes)
Abstract: When evaluating their investment performance, investors can compare their outcomes to multiple potential reference points, such as alternative investments, purchase prices, market indices, or their own expectations. However, little is known about how investors select among these reference points. This paper proposes a model in which investors choose reference points ex-post to minimize regret, creating a trade-off between accuracy and regret avoidance. We aim to conduct an online experiment to test the predictions of our model, particularly whether investors shift their reference points towards less regrettable comparisons when investment performance falls short of expectations, despite the associated cost of holding distorted beliefs. This mechanism should lead investors to hold overly optimistic beliefs about their own investments, ultimately affecting their trading behavior.