Why Do Traders Split Orders?

We examine factors that influence decisions by U.S. equity traders to execute a string of orders, in the same stock, in the same direction, around the same time. Order splitting is more likely to occur when traders submit larger‐size orders and when market depth and trading activity are lower. Order splitters demand liquidity more and pay higher trading costs, but their overall performance is better. When controlling for execution time, split orders are more informative than single orders. Our results suggest that order splitting arises from a variety of factors, including informational differences, order and trader characteristics, and market conditions.     

The impact of nominal stock price on ex-dividend price responses

In this paper, we examine whether nominal stock price can help to explain the ex-dividend day anomaly where stock prices drop by less than the dividend amount on the ex-dividend date. We find that stocks with lower nominal prices have ex-dividend day price drops that are more consistent with theoretical predictions based on an efficient market. After controlling for factors that have been previously documented to influence ex-dividend day stock price behavior, price-drop-to-dividend ratios are closer to one for lower priced stocks. To further explore this phenomenon, we examine the change in the price-drop-to-dividend ratio around stock splits. Firms that split their shares have a larger price-drop-to-dividend ratio after the split, and companies that reverse split their shares have a smaller price-drop-to-dividend ratio after the split. Our evidence indicates that ex-dividend day stock price behavior is influenced by the nominal price of a share and that this relation could also influence the decision to split a firm’s shares.     

<Emphasis Type="Italic">K</Emphasis>-fold cross validation performance comparisons of six naive portfolio selection rules: how naive can you be and still have successful out-of-sample portfolio performance?

Recent research reports that optimal portfolio selection models often perform worse than equal-weight naive diversification in out-of-sample testing. This paper extends this line of inquiry by comparing the out-of-sample performance of the equal-weight naive strategy to the out-of-sample performance of five alternative naive strategies, each of which derives from a simple heuristic that does not require any optimization. Out-of-sample portfolio performance is assessed by mean, standard deviation, skewness, and Sharpe ratio; k-fold cross validation is used as the out-of-sample testing mechanism. The results indicate that the proposed naive heuristic rules exhibit strong out-of-sample performance, in most cases superior to the equal-weight naive strategy. These findings are consequential for at least two reasons: first, if these simple heuristic-based rules outperform the equal-weight naive strategy, then by transitivity they can outperform the mean–variance- and shortfall-optimal portfolio rules that have been shown in the literature to be inferior to the equal-weight naive rule, which further emphasizes the out-of-sample fragility of “optimal” methods; and second, among naive diversification strategies, some appear more robust in out-of-sample testing than others, hence the proposed methods may be useful when forming mixed portfolio selection models wherein a naive strategy is combined with an optimal strategy to improve performance.     

ETF Competition and Market Quality

This paper examines competition between exchange traded funds (ETFs) that hold nearly identical portfolios of securities. We provide evidence that incumbent‐fund liquidity is negatively affected when a new ETF is added to an asset class. The degradation in liquidity is even more severe whenever both funds follow the same benchmark. We also document a decline in primary‐market activity for the incumbent ETFs after the arrival of new competitors. Furthermore, increasing the number of funds in an asset class does not put downward pressure on fund management fees. Thus, the deterioration in market quality may not be offset by decreasing costs of fund ownership.     

What is going on when nothing is going on? Exploring the role of the consumer in shaping waiting situations

Research on waiting in services focuses mainly on the role of companies in waiting situations. Much of the existing research envisages the consumer as a passive victim of the delays caused by companies. This article redresses the imbalance in research on waiting by exploring the role of consumers in waiting situations. A qualitative methodology is used, involving data collection through in‐depth interviews and personal diaries, to facilitate an in‐depth analysis of consumers’ waiting experiences. Additionally, a holistic approach is employed with a view to examining the ‘whole’ waiting experience rather than individual or isolated aspects of waiting. The main finding of the study is that consumers play an active and deliberate role in waiting situations. This is the first study to empirically identify the behaviours and initiatives undertaken by consumers when forced to wait for services. The results suggest that consumers play an active role in organising and reducing the real or perceived waiting time. They actively seek information on the length and causes of the wait. And, on occasions, the consumer may also be the cause of the wait or may even increase the delay by their actions. In contrast to most of the existing research on the topic of waiting, this study adopt a qualitative, in‐depth approach, with a multicultural sample, and a focus on the consumer whose role in waiting has previously been overlooked.     

Profiling road transport activity: Emissions from 2000 to 2005 in Ireland using national car test data

This work describes a methodology for determining the average vehicle kilometres travelled by the private national car fleet in Ireland and estimating the disaggregated CO₂ and NO_x emissions from private vehicles in the Irish road transport sector for the period 2000–2005 using national car test records. The developed methodology facilitates the calculation of greatly improved estimates for vehicle kilometres under a range of constraint variables and thereby enables the disaggregated analysis of specific vehicle fleet groups and their associated activity patterns to support evidence-based policy development. The results indicate that while older vehicles are contributing significantly to car NO_x emissions; newer cars produce a higher share of CO₂ emissions than older cars in the vehicle fleet.     

Real-world utilization of molecular diagnostic testing and matched drug therapies in the treatment of metastatic cancers

Aims: To assess the frequency of biopsies and molecular diagnostic testing (human DNA/RNA analysis), anti-cancer drug use (genomically-matched targeted therapy [GMTT], unmatched targeted therapy [UTT], endocrine therapy [ET], and chemotherapy [CT]), and medical service costs among adults with metastatic cancer.

Methods: Adults diagnosed with metastatic breast, non-small cell lung (NSCLC), colorectal, head and neck, ovarian, and uterine cancer (2010Q1–2015Q1) were identified in the OptumHealth Care Solutions claims database and followed from first metastatic diagnosis for ≥1 month and until the end of data availability. Utilization was assessed for each cancer cohort (all and patients aged ≥65 years); per-patient-per-month (PPPM) medical service costs were assessed for all patients. Testing frequency estimates were applied to Surveillance, Epidemiology, and End Results Program data to estimate the number of untested patients (2010–2014).

Results: Patients with metastatic cancer (n?=?8,193; breast [n?=?3,414], NSCLC [n?=?2,231], colorectal [n?=?1,611], head and neck [n?=?511], ovarian [n?=?275], and uterine [n?=?151]) were 63 years old (mean), with 11.1–22.2 months of observation. Biopsy and molecular diagnostic testing frequencies ranged from 7% (uterine) to 73% (ovarian), and from 34% (head and neck) to 52% (breast), respectively. Few were treated with GMTT (breast, 11%; NSCLC, 9%; colorectal, 6%). Treatment with UTT ranged from 0.7% (uterine) to 21% (colorectal). Biopsy, diagnostic testing, and anti-cancer drug therapy were less frequent for those ≥65 years. Medical service costs (PPPM, mean) ranged from $6,618 (head and neck) to $9,940 (ovarian). The estimated number of untested new patients with metastatic cancer was 636,369 (all) and 341,397 (≥65).

Limitations: In addition to the limitations of claims analyses, diagnostic testing frequency may be under-estimated if patients underwent testing prior to study inclusion.

Conclusions: The low frequency of molecular diagnostic testing suggests there are opportunities to better inform management of patients with advanced cancer, particularly decisions to treat with GMTT.     

The deep roots of economic development in the U.S. states: an application of Putterman and Weil (2010)

The “Deep Roots” literature investigates the effects of ancient cultural variables on economic outcomes. We extend Putterman and Weil’s (Q J Econ 125(4):1627–1682, 2010) inquiry into the effects of State History and Agricultural History to the economic output in ethnically and racially diverse fifty U.S. States. The ethnic and racial differences across the populations of the fifty U.S. states vary considerably due to historical immigration and slave flows that, as a result, produced radically different State History and Agricultural History scores across the states. Results derived from Putterman and Weil’s methodology do not robustly predict per capita levels of economic output across U.S. States. We also investigate the institutions channel, and find that they impact some measures of institutions, but they do not impact the quality of economic institutions which may be essential for promoting economic growth and development.     

Leadership Competencies for Hotel General Managers: The Differences in Age,Education, and Hotel Characteristics

This study was designed to explore the leadership competencies necessary for general managers (GM) in Thailand hotels. The exploratory factor analysis extracted six leadership competency components: leadership, motivational/interpersonal skills, strategic orientation, planning and implementation, team building and ethics, communication skills, flexibility, and concern for the community. The results showed that team building and ethics, leadership, and communication skills are the most important factors for the GMs. In contrast, flexibility and strategic orientation were the least important competencies for them. There were significant differences between leadership competency factors and GMs’ age, education, hotel stars, and hotel locations in diverse aspects.