The rapid increase in U.S. house prices during the 2001–2006 period was accompanied by a historically rapid expansion of bank assets. We exploit cross-regional variation in local housing booms to study how housing demand shocks affected the growth of the banking sector. We estimate the effect of housing demand shocks that are orthogonal to observed non-housing demand shocks and credit supply shocks in each bank’s market area. We employ several instrumental variables that plausibly identify variation in local housing demand that is exogenous to local banks. We find that the housing boom had a large effect on bank asset growth—the cross-regional elasticity of bank growth with respect to housing demand shocks is around 0.6. The regional elasticity estimate suggests that housing demand shocks can potentially account for a large fraction of the growth of the banking sector during this period.

Focusing on mandatory partner rotations, we examine the importance of within‐firm network connections to the selection of successor partners and the impact of those connections on post‐rotation audit performance. Using data from China, we track partners' history and identify incumbent‐successor connections stemming from jointly conducted prior engagements. Although these connections can enhance incumbent‐successor information transfers and thus post‐rotation audit performance, they may also pose a threat to quality by compromising the successor's independence. Among the pool of replacement candidates, we find that individuals with stronger connections with the incumbent are more likely to be appointed as successors. This finding is more pronounced when the audit engagement is more complex, client‐specific knowledge is not readily available to the succeeding partner, and the engagement is more valuable to the audit firm. We also document that successor‐incumbent connections are associated with equal or better post‐rotation audit quality and fewer client defections. These results suggest that the benefits of network‐based successor selection may outweigh its costs. By enriching our understanding of the partner transition process, this study contributes to the public policy discourse on partner rotation.

We evaluate the efficacy of price discovery in the round-the-clock U.S. Treasury market. Using a comprehensive intraday database, we explore informational role of trades over the 24-hour day. We find that information asymmetry is generally highest in the preopen period and lowest in the postclose period. Information asymmetry in the overnight period is comparable to that in the regular trading period. However, on days with macroeconomic announcements, information asymmetry peaks shortly after the news release at 8:30. Moreover, information asymmetry is higher on Monday morning and higher immediately before than after the open of U.S. Treasury futures trading. Although volume is low after hours and trading cost is relatively high, overnight trading generates significant price discovery. Results suggest that overnight trading activity is an important part of the Treasury price discovery process.

The effects of natural disasters on capital markets have been investigated by limited evidence even though these calamities bring considerable damages or loss of life. To fill this gap, we investigate the impacts of natural disasters, particularly earthquakes, on security analysts' earnings forecasts for affected firms in China. We obtain three key findings. First, analysts' optimism significantly decreases for firms located in neighborhood areas. Second, earthquakes do not significantly affect firm earnings and stock returns, thereby indicating that post-earthquake analyst pessimism is not based on rational judgment. Third, media attention promotes irrational pessimism among analysts, and post-earthquake pessimism is a result of heuristics bias attributable to psychological shocks. However, analysts correct the bias after initial irrational forecasts. Taken together, our findings contribute to the broader psychology and economics literature on the effects of natural disasters on analyst forecasts.

This paper studies the pricing of liquidity risk in the cross section of corporate bonds for the period from January 1994 to March 2009. The average return on bonds with high sensitivities to aggregate liquidity exceeds that for bonds with low sensitivities by about 4% annually. The positive relation between expected corporate bond returns and liquidity beta is robust to the effects of default and term betas, liquidity level, and other bond characteristics, as well as to different model specifications, test methodologies, and a variety of liquidity measures. The results suggest that liquidity risk is an important determinant of expected corporate bond returns.

We study the impact of stochastic interest rates and capital illiquidity on investment and firm value by incorporating a widely used arbitrage-free term structure model of interest rates into a standard q theoretic framework. Our generalized q model informs us to use corporate credit-risk information to predict investments when empirical measurement issues of Tobin’s average q are significant (e.g., equity is much more likely to be mis-priced than debt), as in Philippon (2009). We find, consistent with our theory, that credit spreads and bond q have significant predictive powers on micro-level and aggregate investments corroborating the recent empirical work of Gilchrist and Zakrajšek (2012). We also show that the quantitative effects of the stochastic interest rates and capital illiquidity on investment, Tobin’s average q, the duration and user cost of capital, and the value of growth opportunities are substantial. These findings are particularly important in today’s low interest rate environment.

Using the daily data of Chinese 7-day repo rates from January 1, 1997 to December 31, 2008, this paper tests a variety of popular spot rate models, including single-factor diffusion, GARCH, Markov regime-switching and jump-diffusion models. We document that Chinese spot rates are subject to both market forces and administrative forces. GARCH, regime-switching and jump-diffusion models capture some important features of the dynamics of Chinese spot rates, but all models under study are overwhelmingly rejected. We further explore possible sources of model misspecification using diagnostic tests.

We investigate the role of financial analysts in product quality failures. Relying on information about product recalls, we first show that analyst coverage on average reduces product quality, particularly when managers face greater short-term pressure from institutional investors. However, after identifying a subgroup of analysts who raise questions on product-related issues in earnings conference calls, we find that coverage by these “product analysts” enhances rather than compromises product quality. Firms with greater product analyst coverage are also more likely to retire low-quality products. Additional analysis demonstrates that product analysts help safeguard product quality by further probing into product-related matters and issuing more timely recommendation downgrades after firms announce product deficiencies. Data Availability: Data are available from the public sources cited in the text.