Pages: i-iii | Published: 3/2010 | DOI: 10.1111/j.1540-6261.2009.01567.x | Cited by: 0
Pages: v-v | Published: 3/2010 | DOI: 10.1111/j.1540-6261.2009.01552_1.x | Cited by: 0
Pages: vi-ix | Published: 3/2010 | DOI: 10.1111/j.1540-6261.2009.01552_2.x | Cited by: 0
Pages: 425-465 | Published: 3/2010 | DOI: 10.1111/j.1540-6261.2009.01540.x | Cited by: 204
MICHELLE LOWRY, MICAH S. OFFICER, G. WILLIAM SCHWERT
The monthly volatility of IPO initial returns is substantial, fluctuates dramatically over time, and is considerably larger during “hot” IPO markets. Consistent with IPO theory, the volatility of initial returns is higher for firms that are more difficult to value because of higher information asymmetry. Our findings highlight underwriters’ difficulty in valuing companies characterized by high uncertainty, and raise serious questions about the efficacy of the traditional firm‐commitment IPO process. One implication of our results is that alternate mechanisms, such as auctions, could be beneficial for firms that value price discovery over the auxiliary services provided by underwriters.
Pages: 467-494 | Published: 3/2010 | DOI: 10.1111/j.1540-6261.2009.01541.x | Cited by: 180
JOAO F. GOMES, LUKAS SCHMID
This paper revisits the theoretical relation between financial leverage and stock returns in a dynamic world where both corporate investment and financing decisions are endogenous. We find that the link between leverage and stock returns is more complex than static textbook examples suggest, and depends on the investment opportunities available to the firm. In the presence of financial market imperfections, leverage and investment are generally correlated so that highly levered firms are also mature firms with relatively more (safe) book assets and fewer (risky) growth opportunities. A quantitative version of our model matches several stylized facts about leverage and returns.
Pages: 495-528 | Published: 3/2010 | DOI: 10.1111/j.1540-6261.2009.01542.x | Cited by: 97
HUNG-CHIA HSU, ADAM V. REED, JÖRG ROCHOLL
We analyze the effect of initial public offerings (IPOs) on industry competitors and provide evidence that companies experience negative stock price reactions to completed IPOs in their industry and positive stock price reactions to their withdrawal. Following a successful IPO in their industry, they show significant deterioration in their operating performance. These results are consistent with the existence of IPO‐related competitive advantages through the loosening of financial constraints, financial intermediary certification, and the presence of knowledge capital. These aspects of competitiveness are significant in explaining the cross‐section of underperformance as well as survival probabilities for competing firms.
Pages: 529-563 | Published: 3/2010 | DOI: 10.1111/j.1540-6261.2009.01543.x | Cited by: 138
ANDRES ALMAZAN, ADOLFO DE MOTTA, SHERIDAN TITMAN, VAHAP UYSAL
This paper investigates the relation between firms' locations and their corporate finance decisions. We develop a model where being located within an industry cluster increases opportunities to make acquisitions, and to facilitate those acquisitions, firms within clusters maintain more financial slack. Consistent with our model we find that firms located within industry clusters make more acquisitions, and have lower debt ratios and larger cash balances than their industry peers located outside clusters. We also document that firms in high‐tech cities and growing cities maintain more financial slack. Overall, the evidence suggests that growth opportunities influence firms' financial decisions.
Pages: 565-601 | Published: 3/2010 | DOI: 10.1111/j.1540-6261.2009.01545.x | Cited by: 62
ANDREW ANG, VINEER BHANSALI, YUHANG XING
Implicit tax rates priced in the cross section of municipal bonds are approximately two to three times as high as statutory income tax rates, with implicit tax rates close to 100% using retail trades and above 70% for interdealer trades. These implied tax rates can be identified because a portion of secondary market municipal bond trades involves income taxes. After valuing the tax payments, market discount bonds, which carry income tax liabilities, trade at yields around 25 basis points higher than comparable municipal bonds not subject to any taxes. The high sensitivities of municipal bond prices to tax rates can be traced to individual retail traders dominating dealers and other institutions.
Pages: 603-653 | Published: 3/2010 | DOI: 10.1111/j.1540-6261.2009.01546.x | Cited by: 66
TORBEN G. ANDERSEN, LUCA BENZONI
We propose using model‐free yield quadratic variation measures computed from intraday data as a tool for specification testing and selection of dynamic term structure models. We find that the yield curve fails to span realized yield volatility in the U.S. Treasury market, as the systematic volatility factors are largely unrelated to the cross‐section of yields. We conclude that a broad class of affine diffusive, quadratic Gaussian, and affine jump‐diffusive models cannot accommodate the observed yield volatility dynamics. Hence, the Treasury market per se is incomplete, as yield volatility risk cannot be hedged solely through Treasury securities.
Pages: 655-686 | Published: 3/2010 | DOI: 10.1111/j.1540-6261.2009.01547.x | Cited by: 120
ASTRID A. DICK, ANDREAS LEHNERT
We document a link between U.S. credit supply and rising personal bankruptcy rates. We exploit the exogenous variation in market contestability brought on by banking deregulation—the relaxation of entry restrictions in the 1980s and 1990s—at the state level. We find deregulation explains at least 10% of the rise in bankruptcy rates. We also find that deregulation leads to increased lending, lower loss rates on loans, and higher lending productivity. Our findings indicate that increased competition prompted banks to adopt sophisticated credit rating technology, allowing for new credit extension to existing and previously excluded households.
Pages: 687-724 | Published: 3/2010 | DOI: 10.1111/j.1540-6261.2009.01548.x | Cited by: 461
MICHAEL J. COOPER, HUSEYIN GULEN, ALEXEI V. OVTCHINNIKOV
We develop a new and comprehensive database of firm‐level contributions to U.S. political campaigns from 1979 to 2004. We construct variables that measure the extent of firm support for candidates. We find that these measures are positively and significantly correlated with the cross‐section of future returns. The effect is strongest for firms that support a greater number of candidates that hold office in the same state that the firm is based. In addition, there are stronger effects for firms whose contributions are slanted toward House candidates and Democrats.
Pages: 725-763 | Published: 3/2010 | DOI: 10.1111/j.1540-6261.2009.01549.x | Cited by: 118
VLADIMIR A. GATCHEV, TODD PULVINO, VEFA TARHAN
We develop a dynamic multiequation model where firms make financing and investment decisions jointly subject to the constraint that sources must equal uses of cash. We argue that static models of financial decisions produce inconsistent coefficient estimates, and that models that do not acknowledge the interdependence among decision variables produce inefficient estimates and provide an incomplete and potentially misleading view of financial behavior. We use our model to examine whether firms are constrained from accessing capital markets. Unlike static single‐equation studies that find firms underinvest given cash flow shortfalls, we conclude that firms maintain investment by borrowing.
Pages: 765-790 | Published: 3/2010 | DOI: 10.1111/j.1540-6261.2009.01550.x | Cited by: 199
JEFFREY A. BUSSE, AMIT GOYAL, SUNIL WAHAL
Using new, survivorship bias‐free data, we examine the performance and persistence in performance of 4,617 active domestic equity institutional products managed by 1,448 investment management firms between 1991 and 2008. Controlling for the Fama–French (1993) three factors and momentum, aggregate and average estimates of alphas are statistically indistinguishable from zero. Even though there is considerable heterogeneity in performance, there is only modest evidence of persistence in three‐factor models and little to none in four‐factor models.
Pages: 791-792 | Published: 3/2010 | DOI: 10.1111/j.1540-6261.2009.01551.x | Cited by: 0
Pages: 793-797 | Published: 3/2010 | DOI: 10.1111/j.1540-6261.2009.01568.x | Cited by: 0