Implementing Statistical Criteria to Select Return Forecasting Models: What Do We Learn?

Implementing Statistical Criteria to Select Return Forecasting Models: What Do We Learn?

Statistical model selection criteria provide an informed choice of the model with best external (i.e., out-of-sample) validity. Therefore they guard against overfitting (“data snooping”). We implement several model selection criteria in order to verify recent evidence of predictability in excess stock returns and to determine which variables are valuable predictors. We confirm the presence of i...

Do We Know What We Do not Know? A Response to Celine Bonnet

Diagnostic and therapeutic challenges for dermatologists: What shall we do when we don’t know what to do?

What shall we do when we have done everything we could for the diagnosis and treatment of a patient, but were not successful? What shall we do when there is no definite treatment for a patient? What shall we do when we have no diagnosis or treatment for a patient? Some useful suggestions are presented here to get rid of these situations.

Molecular approaches to diagnosis of invasive aspergillosis what we know and what we do not know.

Invasive aspergillosis (IA) are a major complication in immunocompromized patients where can be serious and rapidly fatal. Early diagnosis and early appropriate antifungal treatment is important in reducing mortality and morbidity. But despite many efforts to develop detection methods, the diagnosis of IA still remains challenging and current conventional methods are limited for adequate diagno...

Superior Capsule Reconstruction: What Do We Know?

The management of irreparable rotator cuff tears remains challenging. Since its introduction by Mihata in 2012, superiorcapsule reconstruction (SCR) has grown in popularity at an astonishingly rapid rate. The aim of this article is to providea comprehensive review of the available literature, in order to highlight what has so far been published on SCR,covering all aspects including biomechanica...