In this article, we evaluate the relationship between quality investing combined with Economic Moat, ESG (Environmental, Social and Governance) and analyst opinions over the period 2014-2020 based on a data set comprising 803 US stocks. Performance is evaluated using several metrics (returns and...

This research aims to examine empirically the overreliance on representativeness heuristic and anchoring-adjustment influences experienced by investors in forecasting future earnings. This research was a laboratory experiment with a design of 2x2 full factorial between subject. The results...

Technological progress in recent years has made new methods available for making forecasts in a variety of areas. We examine the success of ex-ante stock market forecasts of three major stock market indices, i.e., the German Stock Market Index (DAX), the Dow Jones Industrial Index (DJI), and the...

The purpose of this paper is to make a quantitative and qualitative critical analyse regarding the three important aspects of stock market evolution. First, the forecasting problems are presented and analyse in order to establish the main problems and the potential solutions. Second, the...

This study examines the connection between analyst coverage and environmental investment using firm-level data from the S&P 500 spanning 2001 to 2022. There is still an unclear and missing piece in the literature of the U.S. evidence investigating the impact of external analysts on monitoring...

This study explores the redundancy of the value premium by conducting a Fourier analysis. The results illustrate periodicity in the value premium and merges the Adaptive Market Hypothesis with the Efficient Market hypothesis. The value premium is considered to be redundant due to structural...

Most of peer-to-peer (P2P) online borrowers are small business managers. The learning behavior of borrowers in the P2P market is rarely studied. The aim of this paper is to identify the existence of borrowers' learning behavior in the P2P market using a large sample from renrendai.com, which is...

Non-fungible tokens are transferable rights to digital assets such as artwork, videos, in-game items, collectibles or music. Non-fungible tokens relate only to a specific unique item and carry information about the owner. The non-fungible token market has received widespread attention and has...

This paper reviews research that uses big data and/or machine learning methods to provide insight relevant for equity valuation. Given the huge volume of research in this area, the review focuses on studies that either use or inform on accounting variables. The article concludes by providing...

The efficient-market hypothesis (EMH) is one of the most important economic and financial hypotheses that have been tested over the past century. Due to many abnormal phenomena and conflicting evidence, otherwise known as anomalies against EMH, some academics have questioned whether EMH is...