SearcharxivSearch

arXiv · 2506.07766

Enterprise value, economic and policy uncertainties: the case of US air carriers

Abstract

The enterprise value (EV) is a crucial metric in company valuation as it encompasses not only equity but also assets and liabilities, offering a comprehensive measure of total value, especially for companies with diverse capital structures. The relationship between economic uncertainty and firm value is rooted in economic theory, with early studies dating back to Sandmo's work in 1971 and further elaborated upon by John Kenneth Galbraith in 1977. Subsequent significant events have underscored the pivotal role of uncertainty in the financial and economic realm. Using a VAR-MIDAS methodology, analysis of accumulated impulse responses reveals that the EV of air carrier firms responds heterogeneously to financial and economic uncertainties, suggesting unique coping strategies. Most firms exhibit negative reactions to recessionary risks and economic policy uncertainties. Financial shocks also elicit varied responses, with positive impacts observed on EV in response to increases in the current ratio and operating income after depreciation. However, high debt levels are unfavorably received by the market, leading to negative EV responses to debt-to-asset ratio shocks. Other financial shocks show mixed or indeterminate impacts on EV.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Bahram Adrangi, Arjun Chatrath, Madhuparna Kolay, Kambiz Raffiee. 2025-06-09. Enterprise value, economic and policy uncertainties: the case of US air carriers. https://arxiv.org/abs/2506.07766

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Identification in Linear Quantile Panel Models

This paper studies identification in linear quantile panel models with unrestricted individual heterogeneity when the number of time periods is fixed and small. We impose strict exogeneity, whereby the conditional quantile restriction holds given the individual's complete regressor history and latent individual effect, but otherwise allow the disturbances to be arbitrarily dependent over time.

econ.EM

Experimental Design for Policy Choice

We show how to optimally design experiments when the resulting data will be used to choose a welfare-maximizing policy subject to constraints. A decision maker seeks to maximize Bayes expected welfare by choosing a policy whose effects depend on an unknown finite-dimensional parameter. The decision maker has access to a first wave of experimental data with a fixed design but may choose the design of a second wave that will be collected before choosing the policy. The resulting experimental design--policy choice problem is a very high-dimensional dynamic program that is generally intractable in finite samples. We propose a tractable approximation based on the limit experiment and show it is asymptotically optimal using a new asymptotic representation theorem for adaptive experiments with continuous treatments. We apply the method to a conditional cash transfer experiment and demonstrate the potential for large gains from tailoring the experiment to the policy choice.

econ.EM

Designing Spatial Treatments

Spatial treatments are interventions assigned to locations potentially distinct from those of the responding units. We study their optimal design under a general model in which a unit's response diminishes with distance to a treated site. Our estimand of interest is an ``uncontaminated'' effect equal to the average impact of a single intervention site over all hypothetical sites. We propose a novel design based on a Mat\'{e}rn point process which separates treatments by a distance of at least $r$. A larger choice of $r$ reduces bias by separating interventions but increases variance by reducing their numerosity. We choose $r$ to maximize the rate of convergence of a Horvitz-Thompson estimator and prove that this is minimax rate-optimal. We provide weak conditions under which the estimator is asymptotically normal and propose a variance estimator.

econ.EM