
Lars-Alexander Kuehn
· Professor of FinanceCarnegie Mellon University · Economics
Active 2007–2026
About
Lars-Alexander Kuehn is a Professor of Finance at the Tepper School of Business at Carnegie Mellon University. The page provides contact information including his email (kuehn@cmu.edu) and his affiliation with the Tepper School of Business. The content emphasizes the school's focus on business, technology, and analytics, as well as its strategic plan to lead at the intersection of these fields. However, the page does not include specific details about Professor Kuehn's research focus, background, or key contributions.
Research topics
- Artificial Intelligence
- Economics
- Sociology
- Computer Science
- Business
- Financial economics
- Monetary economics
- Econometrics
- Psychology
Selected publications
CDX Markets, Time-Varying Fear, and Corporate Leverage
SSRN Electronic Journal · 2026-01-01
preprintOpen accessSenior authorLeverage Dynamics and Learning about Economic Crises
SSRN Electronic Journal · 2024 · 4 citations
Senior authorCorresponding- Computer Science
- Artificial Intelligence
- Economics
Learning about the consumption risk exposure of firms
Journal of Financial Economics · 2023-11-27 · 2 citations
articleOpen accessCorrespondingWe structurally estimate an investment-based asset pricing model, in which firms' exposure to macroeconomic risk is unknown. Bayesian beliefs about this parameter are updated from firms' and industry peers' comovement between their productivity and consumption growth. The model implies that discount rates rise endogenously with the perceived risk exposure of firms, thereby depressing investment and valuation ratios. We test these predictions in the data and find strong support for them. We also confirm that cross-sectional learning from peers is crucial and that alternative Bayesian risk estimates, which ignore peer observations, do not predict firm variables.
Persistent Crises and Levered Asset Prices
Review of Financial Studies · 2022 · 6 citations
1st authorCorresponding- Economics
- Econometrics
- Monetary economics
Abstract This paper shows that standard disaster risk models are inconsistent with movements in stock market volatility and credit spreads during disasters. We resolve this shortcoming by incorporating persistent macroeconomic crises into a structural credit risk model. The model successfully captures the joint dynamics of aggregate consumption, financial leverage, and asset market risks, both unconditionally and during crises. Leverage strongly amplifies fundamental shocks by continuing to rise while crises endure. We structurally estimate the model and show that it replicates the firm-level implied volatility curve and its cross-sectional relation with observable proxies of default risk.
Learning about the Consumption Risk Exposure of Firms
SSRN Electronic Journal · 2021 · 3 citations
- Sociology
- Business
- Sociology
Persistent Crises and Levered Asset Prices
SSRN Electronic Journal · 2020-01-01 · 1 citations
articleOpen access1st authorCorrespondingReplication data for: Endogenous Disasters
ICPSR Data Holdings · 2018-01-01
datasetOpen accessSenior authorMarket economies are intrinsically unstable. The standard search model of equilibrium unemployment, once solved accurately with a globally nonlinear algorithm, gives rise endogenously to rare disasters. Intuitively, in the presence of cumulatively large negative shocks, inertial wages remain relatively high, and reduce profits. The marginal costs of hiring run into downward rigidity, which stems from the trading externality of the matching process, and fail to decline relative to profits. Inertial wages and rigid hiring costs combine to stifle job creation flows, depressing the economy into disasters. The disaster dynamics are robust to extensions to home production, capital accumulation, and recursive utility.
American Economic Review · 2018-07-25 · 109 citations
articleSenior authorMarket economies are intrinsically unstable. The standard search model of equilibrium unemployment, once solved accurately with a globally nonlinear algorithm, gives rise endogenously to rare disasters. Intuitively, in the presence of cumulatively large negative shocks, inertial wages remain relatively high, and reduce profits. The marginal costs of hiring run into downward rigidity, which stems from the trading externality of the matching process, and fail to decline relative to profits. Inertial wages and rigid hiring costs combine to stifle job creation flows, depressing the economy into disasters. The disaster dynamics are robust to extensions to home production, capital accumulation, and recursive utility. (JEL E22, E23, E24, E32, J41, J63, N12)
A Labor Capital Asset Pricing Model
The Journal of Finance · 2017-03-19 · 116 citations
articleOpen access1st authorCorrespondingABSTRACT We show that labor search frictions are an important determinant of the cross‐section of equity returns. Empirically, we find that firms with low loadings on labor market tightness outperform firms with high loadings by 6% annually. We propose a partial equilibrium labor market model in which heterogeneous firms make dynamic employment decisions under labor search frictions. In the model, loadings on labor market tightness proxy for priced time‐variation in the efficiency of the aggregate matching technology. Firms with low loadings are more exposed to adverse matching efficiency shocks and require higher expected stock returns.
Endogenous Economic Disasters and Asset Prices
RePEc: Research Papers in Economics · 2014-01-01 · 7 citations
preprintFrictions in the labor market are important for understanding the equity premium in the financial market. We embed the Diamond-Mortensen-Pissarides search framework into a dynamic stochastic general equilibrium model with recursive preferences. The model produces realistic equity premium and stock market volatility, as well as a low and stable interest rate. The equity premium is countercyclical, and forecastable with labor market tightness, a pattern we confirm in the data. Intriguingly, three key ingredients (small profits, large job flows, and matching frictions) in the model combine to give rise endogenously to rare disasters a la Rietz (1988) and Barro (2006).
Frequent coauthors
- 24 shared
Nicolas Petrosky-Nadeau
Federal Reserve Bank of San Francisco
- 19 shared
Lu Zhang
University of Cambridge
- 9 shared
Harjoat Singh Bhamra
- 9 shared
Jessie Jiaxu Wang
Federal Reserve
- 9 shared
Ilya A. Strebulaev
National Bureau of Economic Research
- 5 shared
Lu Zhang
Obstetrics and Gynecology Hospital of Fudan University
- 3 shared
Mikhail Simutin
- 3 shared
Kai Li
Institute of Quantitative and Technical Economics
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