No-arbitrage dynamic term structure models (DTSMs) have regularly been used to estimate interest rate expectations and term premia, but are beset by empirical challenges. I propose augmenting DTSMs with overnight indexed swap (OIS) rates to better estimate the decomposition along the term structure at daily frequencies. A Gaussian affine DTSM, augmented with 3 to 24-month OIS rates, generates estimates of US expectations that closely correspond to survey-implied measures out to a 10-year horizon and are more stable across sub-samples, compared to existing models. In addition, I provide narrative evidence, in the form of an event study around US unconventional monetary policy announcements, to further exemplify the benefits from OIS augmentation.

Merger control exists to help safeguard effective competition. However, findings from a natural experiment suggest that regulatory merger control reduces the profitability of corporate acquisitions. Uncertainty about merger control decisions reduces takeover threats from foreign and very large acquirers, therefore facilitating agency-motivated deals. Valuation effects are more pronounced in countries with stronger law enforcement and in more concentrated industries. Our results suggest that competition policy may impede the efficiency of the M&A market.

To capture systemic risk related to network structures, this paper introduces a measure that complements direct exposures with common exposures, as well as compares these to each other. Trying to address the interconnected nature of financial systems, researchers have recently proposed a range of approaches for assessing network structures. Much of the focus is on direct exposures or market-based estimated networks, yet little attention has been given to the multivariate nature of systemic risk, indirect exposures and overlapping portfolios. In this regard, we rely on correlation network models that tap into the multivariate network structure, as a viable means to assess common exposures and complement direct linkages. Using BIS data, we compare correlation networks with direct exposure networks based upon conventional network measures, as well as we provide an approach to aggregate these two components for a more encompassing measure of interconnectedness.

We examine state income and reputation incentives to account for the high dividends of privatized firms. Consistent with these agency-cost based incentives, we show strong and robust evidence that the extent of state ownership is positively related to corporate dividends. We distinguish between the empirical importance of these incentives using variation in the rule of law to protect minority shareholders, the fiscal deficit and the political orientation of the state. Our findings show that an incentive to enhance the state's reputation with minority shareholders can account for the high dividends of privatized firms.

Though fundamental to innovation and essential to many industries and occupations, individual creativity has received limited attention as an economic behavior and has historically proven difficult to study. This paper studies the incentive effects of competition on individuals' creative production. Using a sample of commercial logo design competitions and a novel, content-based measure of originality, I find that intensifying competition induces agents to produce original, untested ideas over tweaking their earlier work, but heavy competition drives them to stop investing altogether. The results yield lessons for the management of creative workers and the implementation of competitive procurement mechanisms for innovation.

In this paper, we analyze how the physical layout of cities affects innovation by influencing the organization of knowledge exchange. We exploit a novel data set covering all census block groups in the contiguous United States with information on innovation outcomes, street infrastructure, as well as population and workforce characteristics. To deal with concerns of omitted variable bias, we apply commuting zone fixed effects and construct instruments based on historic city planning. The results suggest that variation in street network density may explain regional innovation differentials beyond the traditional location externalities found in the literature.

ABSTRACT We investigate whether managers internalize the spillover effects of their disclosure on the stock price of related firms and strategically alter their disclosure decisions when doing so is beneficial. Using data on firm‐initiated disclosures during all‐cash acquisitions, we find evidence consistent with acquirers strategically generating news that they expect will depress the target's stock price. Our results suggest the disclosure strategy leads to lower target returns during the negotiation period when the takeover price is being determined and results in a lower target premium. These findings are robust to a battery of specifications and falsification tests. Our results are consistent with expected spillovers influencing the timing and content of firms’ disclosures in M&A transactions.

ABSTRACT This study provides the first large‐sample evidence on the economic tax effects of special purpose entities (SPEs). These increasingly common organizational structures facilitate corporate tax savings by enabling sponsor firms to increase tax‐advantaged activities and/or enhance their tax efficiency (i.e., relative tax savings of a given activity). Using path analysis, we find that SPEs facilitate greater tax avoidance such that an economically large amount of cash tax savings from research and development (R&D), depreciable assets, net operating loss carryforwards, intangible assets, foreign operations, and tax havens occur in conjunction with SPE use. We estimate that SPEs help generate over $330 billion of incremental cash tax savings, or roughly 6 percent of total U.S. federal corporate income tax collections during the sample period. Interaction analyses reveal that SPEs enhance the tax efficiency of intangibles and R&D by 61.5 percent to 87.5 percent. Overall, these findings provide economic insight into complex organizational structures supporting corporate tax avoidance.

We examine the diversification choices and financial performance of companies run by former bureaucrats in China. We find that the ex-bureaucrat led companies are involved in more diversified business lines than other firms managed by professionals without such government backgrounds. While former bureaucrats that manage state-owned enterprises (SOEs) tend to operate in unattractive industries, those who manage private firms do businesses in more profitable, faster-growing, and more related industries. The diversification of private firms is helped by additional borrowing capacity brought in by ex-bureaucrat CEOs, while no such financing effect is found in SOEs. The overall diversification performance associated with bureaucrat CEOs is positive in private firms, but not in SOEs. As manifested by the different diversification strategies and outcomes between private firms and SOEs, the government-linked CEOs facilitate transfers of critical business resources that benefit either owners' or governments' goals.

In 2012, the US Department of Labor imposed new disclosure requirements for indirect fees that 401(k) retirement plan service providers earn through revenue sharing agreements with mutual funds. This paper examines the impact of these fee disclosure requirements on the level and structure of fees paid by retirement plans, as well as service providers’ ability to price discriminate between plan sponsors of different sophistication. We document that the new disclosure requirements are associated with a substitution of direct fees for indirect fees and a reduction in total fees paid by smaller plans, and that mutual fund providers responded by introducing retirement fund share classes with lower 12b-1 fees.