Institutional industry herding

We examine whether institutional investors follow each other into and out of the same industries. Our empirical results reveal strong evidence of institutional industry herding. The cross-sectional correlation between the fraction of institutional traders buying an industry this quarter and the fraction buying last quarter, for example, averages 40%. Additional tests suggest that correlated signals primarily drive institutional industry herding. Our results also provide empirical support for “style investing” models.     

Contracting in the shadow of the law

Economic models of contract typically assume that courts enforce obligations based on verifiable events (corresponding to the legal rule of specific performance). As a matter of law, this is not the case. This leaves open the question of optimal contract design given the available remedies used by the courts. This article shows that American standard form construction contracts can be viewed as an efficient mechanism for implementing building projects given existing legal rules. It is shown that a central feature of these contracts is the inclusion of governance covenants that shape the scope of authority and regulate the ex post bargaining power of parties. Our model also implies that the legal remedies of mistake, impossibility and the doctrine limiting damages for unforeseen events developed in the case of Hadley v. Baxendale are efficient solutions to the problem of implementing complex exchange.     

Investment Timing for Dynamic Business Expansion

We investigate the timing of business expansion. With an indefinite sequence of growth opportunities that have constant returns to scale, current investment neither displaces nor impairs future returns. In a dynamic setting with expansion restricted to a fraction of firm size, the endogenously determined cost of capital uniformly exceeds the value maximizing return threshold for expansion. Taking this into account, a manager accelerates investment to facilitate larger and more valuable future investments when earnings stochastically improve. This result is the opposite of deferral that the investment literature recommends due to irreversibility. This means that the managerial application of the cost of capital as an expansion hurdle rate is improperly conservative.     

An exploratory study of earnings management detectability,analyst coverage and the impact of IFRS adoption: Evidence from China

Analysts serving as external monitors to managers is a topic of considerable interest in the analyst coverage literature. There are two outcomes of analyst coverage studies: curbing and stimulating earnings management. However, recent studies (such as Yu, 2008) only provide evidence supporting the curbing side. Given the fact that the data of these studies focus on developed markets and the finding of Rodríguez-Pérez and Hemmen (2010) that external governance mechanisms may stimulate earnings management in an opaque information environment, we conjecture whether stimulating side would be dominant in emerging markets. China offers a valuable setting for us to test the question. Using the data of China capital market from 2003 to 2009, we find that analyst coverage stimulates earnings management through above-the-line items (ALIs) where earnings management cannot be easily detected, and curbs earnings management through below-the-line items (BLIs) where earnings management can be easily detected. We also find that the adoption of International Financial Reporting Standards (IFRS) in China does create many new opportunities for managers’ earnings management but does not significantly improve the monitoring effect of analyst coverage. We only find that compared to those without analyst coverage, firms with analyst coverage have a lower level of earnings management through BLIs after IFRS adoption. These findings suggest that information opacity may weaken the monitoring effect of external corporate governance mechanisms and high quality accounting standards in the literal sense may not enhance the monitoring effect of external corporate governance mechanisms if it is not compatible with the market’s institutional environment. In addition, we find that firms with earnings meeting the benchmark have a lower level of earnings management, which indicates that bright-line accounting based rules used in emerging capital markets may constrain the managers’ behavior.     

Power‐Sharing in Monetary Policy Committees: Evidence from the United Kingdom and Sweden

Committees may make better monetary policy decisions than individuals; however, the benefits of group decision making could be lost if committee members cede power to a chairman. We develop an econometric model to describe intracommittee power‐sharing across members. Estimation of the model permits us to classify monetary policy committees into the typology developed by Blinder ( 2004 , 2007 ). We estimate our model for the United Kingdom's Bank of England (BOE) and Sweden's Riksbank. Results for the BOE suggest that the Governor has little influence over other committee members, while those for the Riksbank indicate that the Governor is highly influential.     

Does Stock Liquidity Enhance or Impede Firm Innovation?

We aim to tackle the longstanding debate on whether stock liquidity enhances or impedes firm innovation. This topic is of interest because innovation is crucial for firm‐ and national‐level competitiveness and stock liquidity can be altered by financial market regulations. Using a difference‐in‐differences approach that relies on the exogenous variation in liquidity generated by regulatory changes, we find that an increase in liquidity causes a reduction in future innovation. We identify two possible mechanisms through which liquidity impedes innovation: increased exposure to hostile takeovers and higher presence of institutional investors who do not actively gather information or monitor.     

Liquidity Measurement Problems in Fast,Competitive Markets: Expensive and Cheap Solutions

Do fast, competitive markets yield liquidity measurement problems when using the popular Monthly Trade and Quote (MTAQ) database? Yes. MTAQ yields distorted measures of spreads, trade location, and price impact compared with the expensive Daily Trade and Quote (DTAQ) database. These problems are driven by (1) withdrawn quotes, (2) second (versus millisecond) time stamps, and (3) other causes, including canceled quotes. The expensive solution, using DTAQ, is first‐best. For financially constrained researchers, the cheap solution—using MTAQ with our new Interpolated Time technique, adjusting for withdrawn quotes, and deleting economically nonsensical states—is second‐best. These solutions change research inferences.     

Responsiveness of Auditors to the Audit Risk Standards: Unique Evidence from Big 4 Audit Firms

We examine the effect of changes in audit risk standards on the conduct of financial statement audits in a European setting. We investigate this by analysing the audit hours and audit fees for clients of Big 4 audit firms in Finland in 1996 and 2010. Our results show that audit firms became more sensitive to clients’ business risk due to the introduction of the new audit risk standards, with more audit hours allocated to owner-managed companies in 2010 than in 1996, and fewer audit hours allocated to low-risk clients in 2010 than in 1996. Also, the labour mix in the audit team changed for owner-managed companies, with a greater work load carried by junior auditors in 2010 than in 1996. Regarding the price of audit, we find an increase in audit fees for clients with high business risk, while audit fees remained at roughly the same level for low-risk clients. These findings should be of interest to the auditing profession and those involved in the development of auditing regulations.     

Bank net interest margins,the yield curve,and the 2007–2009 financial crisis

Using quarterly call report data from 2000 to 2016, we reexamine the relationship between net interest margins (NIM) and the yield curve for more than 5,500 U.S. commercial banks. In the full sample, yield curve and RGDP growth have positive effects on NIM, while inflation and deposit‐to‐loan ratios (D/L) have negative effects. Splitting the sample around the 2007–2009 crisis, we show the impact of yield curve and RGDP growth on NIM increasing during the “recovery” (2009Q3 to 2016Q4), and inflation and D/L changing signs. Positive effects of yield curve on profits vary with bank size and change over time.     

Machine learning in individual claims reserving

Machine learning techniques make it feasible to calculate claims reserves on individual claims data. This paper illustrates how these techniques can be used by providing an explicit example in individual claims reserving.