This study provides general methods to measure and characterize the welfare costs of long-run consumption uncertainty with Epstein and Zin (1989) preferences. I find that long-run uncertainty can create significant welfare costs even when risk aversion is moderate and the short-run consumption volatility low.
Taylor Guitars purchased an ebony mill in Cameroon to ensure corporate social and environmental responsibility (CSER) in sourcing, and shared the responsibly-sourced supply of ebony with competitors through horizontal sourcing. Inspired by this case, we investigate vertical integration as an alternative strategy for CSER in sourcing in which a firm can vertically integrate with its supplier in order to ensure responsible practices in the supply chain.
We model a dynamic economy with strategic complementarity among investors and study how endogenous government interventions mitigate coordination failures. We establish equilibrium existence and uniqueness, and we show that one intervention can affect another through altering the public information structure.
This research brief uses data from the 2014-2015 Internal Revenue Service (IRS) migration file to quantify the dividend North Carolina receives from recent movers to the state. We calculate the dividend as the differences in per capita adjusted gross income from those who moved to North Carolina (in-migrants) relative to those who were already living in the state (non-migrants) and relative to those who moved from the state (out-migrants). The dividends from migrants ages 55 and older, especially those settling in eight migration magnet counties (Mecklenburg, Wake, Durham, Buncombe, New Hanover, Brunswick, Cabarrus, and Johnston), are significant. This migration constitutes a strategic opportunity for both business development and job creation in North Carolina communities.
We study a security design problem under asymmetric information, in the spirit of Myers and Majluf (1984). We introduce a new condition on the right tail of the firm-value distribution that determines the optimality of debt versus equity-like securities.
We examine the relationship between MIDAS regressions and the estimation of state space models applied to mixed frequency data. While in some cases the binding function is known, in general it is not, and therefore indirect inference is called for. The approach is appealing when we consider state space models which feature stochastic volatility, or other non-Gaussian and nonlinear settings where maximum likelihood methods require computationally demanding approximate filters.
We empirically investigate the effects of political uncertainty on corporate tax behavior. To identify the effects of political uncertainty, we construct a data set that tracks whether firms’ tax avoidance varies systematically around the occurrence of national elections. Our dataset includes firms exposed to 103 national elections in 30 countries. We find that corporate tax avoidance varies systematically across the election cycle, peaking in election years and declining the next year. The effect on tax avoidance is greatest for elections with greater electoral uncertainty, and for elections in countries with relatively lower quality of law, relatively weaker tax enforcement, and relatively lower book-tax conformity. The evidence suggests that firms use both conforming and nonconforming tax avoidance strategies, although the results for conforming tax avoidance are marginal.
We investigate the relation between tax avoidance and tax uncertainty, where tax uncertainty is the possibility of losing a claimed tax benefit upon challenge by a tax authority. On average, we find that tax avoiders, i.e., firms with relatively low cash tax rates, do bear significantly greater tax uncertainty than firms that have higher cash tax rates. However, we find that this relation is driven by firms with tax haven subsidiaries and high levels of R&D expense, proxies for intangible-related transfer pricing strategies. Thus, contrary to expectations, general tax avoidance (i.e., unrelated to tax havens) does not explain variation in tax uncertainty. The findings have implications for several puzzling results in the literature but also raise new questions.
We examine how abnormal dark market share changes at earnings announcements and find a statistically and economically significant increase in abnormal dark market share in the weeks prior to, during, and following the earnings announcement.
As firms use advertising to gain product market advantages and increase their valuation in financial markets, disclosures of their advertising spending are influential — whether they erode organizational competitive advantages in product markets or signal quality in financial markets.
Extant literature highlights the importance of specific choices such as pricing and particular strategieslike “get big fast” for strategy in two-sided markets. Yet it leaves open how executives form a viable strategy in entrepreneurial settings, particularly when buyers, sellers, and product may be uncertain. With an inductive case study of 8 two-sided marketplace ventures in multiple industries, we developa theoretical framework that describes how entrepreneurs address this challenge: by focusing on successive strategic domains, beginning with supply.
This study, sponsored by the Frank Hawkins Kenan Institute of Private Enterprise and the Kenan-Flagler Energy Center, analyzes the economic cost of renewable energy’s ‘last frontier’, providing reliable baseload power. The analysis utilizes five financial and energy models to examine the cost of replacing baseload power with various energy sources to achieve fully decarbonized utility scale electricity generation.
We greatly expand the space of tractable term structure models (TTSM). We find that the early stages of a recession have distinct effects on yield volatility. Upon entering a recession when yields are far from the lower bound, (1) the volatility term structure becomes flatter, (2) the level and slope of yields are nearly uncorrelated, and (3) the second principle component of yields plays a larger role.
We show that blockchain can be more effective than pricing strategy in eliminating the post-purchase regret and improving social welfare.
Prior research examines practitioner, investor, and executive perceptions of corporate tax planning. However, little is known about how the typical U.S. consumer views corporate tax planning. We examine consumers’ perceptions of corporate tax planning using both survey and experimental methods.
We model leverage cycles in the natural laboratory of a mature asset class, namely US Commercial Real Estate. In this setting we can observe entrepreneurs' asset values as well as debt balance and thus model capital-market yields, as conditioned by market-wide leverage, which indicates debt availability. Using a VAR framework, we examine variance decompositions and impulse-response functions. We show that leverage constitutes the primary driver of innovations in capital-market yields and vice versa. We further find evidence for flight to quality as well as knock-on effects that affect low-leverage entrepreneurs in the market.
Flight to safety (FTS) affects the markets for risky assets such as stocks, corporate bonds, and commodities. Yet, little is known about the effects on commercial real estate. Our findings benefit investors by providing estimates of the short-term return and liquidity response of REITs to FTS episodes, and by documenting long-term effects on REIT revenues and real asset values.
Combining a Monte Carlo simulation with a statistical model of player skill and random variation in scoring, we estimate the seeding and selection efficiency of the PGA TOUR's FedExCup, a very complex multi-stage golf competition, which distributes $35 million in prize money, including $10 million to the winner.
In "Quitters Never Win: The (Adverse) Incentive Effects of Competing with Superstars," Brown (2011) argues that professional golfers perform relatively poorly in tournaments in which Tiger Woods also competes. We show that Brown's conclusions are based on a problematic empirical design, which if adjusted yields no evidence of a superstar effect.