Auditors' Responses to Workload Imbalance and the Impact on Audit Quality*

Using detailed data for fieldwork hours and audit hours by rank from audit engagements in Korea, we examine whether audits conducted under workload imbalance, proxied by busy‐season audits, impair audit quality, and how auditors adjust staff assignments for busy‐season audits. We generally find that busy‐season audits are associated with lower audit quality, and that audit firms reduce the involvement of senior auditors during busy‐season audits. In addition, the greater the involvement of senior auditors and junior auditors, the lesser the deterioration in audit quality. Finally, although there is no increase in interim audits in response to workload imbalance during busy seasons, increasing interim audits can mitigate the negative impact of busy‐season audits on audit quality. Our results are relevant to auditors and regulators, who have expressed concerns about the adverse effects of workload imbalance on audit quality.     

Personalized goal-based investing via multi-stage stochastic goal programming

In this paper, we propose a goal-based investment model that is suitable for personalized wealth management. The model only requires a few intuitive inputs such as size of wealth, investment amount, and consumption goals from individual investors. In particular, a priority level can be assigned to each consumption goal and the model provides a holistic solution based on a sequential approach starting with the highest priority. This allows strict prioritization by maximizing the probability of achieving higher priority goals that are not affected by goals with lower priorities. Furthermore, the proposed model is formulated as a linear program that efficiently finds the optimal financial plan. With its simplicity, flexibility, and computational efficiency, the proposed goal-based investment model provides a new framework for automated investment management services.     

R&D Spillovers for Public R&D Productivity

ABSTRACT

This paper empirically investigates whether the productivity of a public (government-funded) R&D project improves when the aggregate R&D investment in the same technology field increases. Based on the unique project level data that cover almost entire public R&D projects in Korea, this paper shows that aggregate investment in other public R&D projects in the same technology field increases a public R&D project’s outputs both independent of its project expenditure (additive spillover effects) and interactive with its project expenditure (multiplicative spillover effects). The spillover effects from the aggregate private R&D investment in the same technology field also exist, but to a much lesser extent.     

2018 KLEIN LECTURE: INDIVIDUAL AND AGGREGATE LABOR SUPPLY IN HETEROGENEOUS AGENT ECONOMIES WITH INTENSIVE AND EXTENSIVE MARGINS

We study business cycle fluctuations in heterogeneous agent general equilibrium models featuring intensive and extensive margins of labor supply. A nonlinear mapping from time devoted to work to labor services generates operative extensive and intensive margins. Our model captures the salient features of the empirical distribution of hours worked, including how individuals transit within this distribution. We study how various specifications influence labor supply responses to aggregate technology shocks and find that abstracting from intensive margin adjustment can have large effects on the volatility of aggregate hours even if fluctuations along the intensive margin are small.     

Can commodity futures risk factors predict economic growth?

This paper examines whether commodity futures risk factors can predict future economic growth. We test risk factors capturing various spot or term premia and find that only three factors capturing term premia on the basis-momentum, basis, and change in slope are robust predictors for future economic growth, especially for long horizons. Our findings highlight the importance of the term premia, rather than the spot premia on which the literature has mainly focused. Moreover, we find that possible explanations for predictability of commodity factors—the intertemporal asset pricing model and information diffusion explanation—are all inconsistent with our empirical results.     

How about selling commodity futures losers?

This paper explores the benefits of extending the investment universe to commodity futures, from the perspective of momentum traders. We find that the growth-optimal portfolio includes negative (positive) weights on commodity futures losers (stock winners). Motivated by this finding, we construct a joint momentum strategy, buying stock winners and selling commodity futures losers, and show that it generates an average monthly return of up to 1.91% and provides much lower skewness (0.04) and kurtosis (1.27) than a traditional stock momentum strategy. It also greatly improves profitability, especially in unfavorable market states, and thus effectively manages tail risk.     

Sources of Fluctuations in the Real Exchange Rates and Trade Balances of the G‐7: A Sign Restriction VAR Approach

This paper estimates structural vector autoregression models of output, the real exchange rate and trade balance for the group of seven leading advanced economies (G‐7). Unlike previous studies, we do not impose long‐run purchasing power parity as an identifying assumption; instead, the shocks underlying the model are structurally identified using a set of theory‐consistent sign restrictions. Empirical results show that nominal shocks account for most of the long‐run variability in trade balances across the G‐7 countries. We are able to attribute this finding to long‐run movements in the real exchange rate, as the real exchange rate is significantly affected by nominal shocks in the long run.     

The Informational Role of Product Trade‐Ins for Pricing Durable Goods

This research theorizes that sellers of durable goods can utilize inferences about the buyer's willingness to pay based not only on her decision to trade in the old good but also on its characteristics. We find empirical support for this theory using transaction data for new car purchases. The results support the notion that dealers infer a higher willingness to pay and charge higher prices to consumers who trade in a used vehicle than to those who do not. We also find that dealers charge even higher prices to those consumers who trade in used cars that are similar to the new one.     

Relationship regarding the demand for labor between domestic temporary and foreign workers: Korean case

With the progress of globalization, South Korea, one of the emerging industrial countries, has recently witnessed a sharp increase in the number of enterprises that employ foreigners. However, there are only a limited number of studies on the influence that such an increase has had on the labor market in the Republic of Korea. Thus, using ‘Workplace Panel Survey’ data surveyed by the Korea Labor Institute (KLI), this paper examines the relationship concerning the labor demand of an establishment between domestic temporary and foreign workers. Analysis using a bivariate Tobit model shows that a typical Korean firm attempts to employ domestic temporary and foreign workers simultaneously. Further, the empirical analysis found that any establishment that is relatively newly established and has difficulty in recruiting domestic workers hires foreign workers, but there is no evidence that establishments hire foreign workers rather than domestic temporary workers to save on the production cost.