We introduce the concept of ordinal pattern dependence between time series and show in an explorative study that both types of this dependence show up in real world nancial data. The classical way to capture the leverage e ect in models for stock markets is to assume a negative correlation between the two datasets which is constant in time (e.g. Barndor Nielsen and Shepard (2002)). However, the...

INTRODUCTION Surgical retained items (RSIs) are associated with increase in perioperative morbidity and mortality. We used a large national database to investigate the incidence, trends and possible predictors for RSIs after major abdominal and pelvic procedures. METHODS The nationwide inpatient sample data were queried to identify patients who underwent major abdominal and pelvic procedures ...

Rework in construction development projects can significantly degrade project cost and schedule performance. In a typical construction development project which involves design and construction, rework in the construction phase could increase construction cost by 10%-15% of the contract price (Burati. 1992, Josephson & Hammerlund 1999, Love & Li 2000). The proportion of money and time spent on ...

The "leverage effect" refers to the well-established relationship between stock returns and both implied and realized volatility: volatility increases when the stock price falls. A standard explanation ties the phenomenon to the effect a change in market valuation of a firm's equity has on the degree of leverage in its capital structure, with an increase in leverage producing an increase in sto...

Abstract Representation learning has been widely applied in real-world recommendation systems to capture the features of both users and items. Existing grocery methods only represent each user item by single deterministic points a low-dimensional continuous space, which limit expressive ability their embeddings, resulting performance bottlenecks. In addition, existing representation for conside...

We focus on the -nite-sample behavior of heteroskedasticity-consistent covariance matrix estimators and associated quasi-t tests. The estimator most commonly used is that proposed by Halbert White. Its -nite-sample behavior under both homoskedasticity and heteroskedasticity is analyzed using Monte Carlo methods. We also consider two other consistent estimators, namely: the HC3 estimator, which ...

In a recent study by Ginther et al., the probability of receiving a U.S. National Institutes of Health (NIH) RO1 award was related to the applicant’s race/ethnicity. The results indicate black/African-American applicants were 10% less likely than white peers to receive an award, after controlling for background and qualifications. It has generated a widespread debate regarding the unfairness of...