Corporate disclosures have been studied for many years. We add a new dimension to the analysis: we show that the filing frequency of disclosures has a negative impact on future stock returns. Specifically, we show that every additional filing within the past month preceding a given filing...

Six key problems are known to plague traditional econometric analysis and much of pure machine learning: 1) overfitting, 2) inability to deal with noise in the data, 3) difficulties dealing with missing observations, 4) data non-stationarity, 5) researcher ability and creativity, and 6)...

We investigate whether increasing the education quality causes increases in economic growth allowing poorer countries to catch up. To this end, we extend Nelson-Phelps's classic paper by introducing differences in education quality (proxied by students' performance on the Program for...

Network-Centric Meaning-Driven Human-Centric AI-Cyber Computing Beyond Data-Driven to Event-Driven Architectures for Quantum Uncertainty, 1995-2023:Building upon the contextual focus of current global worldwide discussions on GPT, ChatGPT, GenAI, Generative AI, Large Language Model - LLMs, we...

This paper uses average monthly returns and linear spline regressions to investigate the relation between expected return and firm size during 1980-1994. We find that the average monthly returns are approximately constant across size deciles. The estimated spline regressions vary substantially...

Adequate enterprise financial risk management (EFRM) represents a leading competitive advantage of enterprises that determines market survival and business success in an uncertain global environment. Over time, EFRM has become a constituent part of integral business dealings of enterprises and...

Goal: ISO 31000 Risk Management (RM) recently re-defined risk as the effect of uncertainty on an organization's ability to meet the objectives. Earlier, it defined risk as a combination of the probability and scope of the (predicted) consequences. The revised ISO Risk advances beyond a static...

In the aftermath of the Global Financial Crisis, some risk management practitioners have advocated wider adoption of Bayesian inference to replace Value- at-Risk (VaR) models in order to minimize risk failures. Despite its limitations, the Bayesian methodology has significant advantages. Just...

Word of mouth (WOM) and observational learning (OL), as two types of social interaction, have been generally discussed by researchers. And both have a significant impact on consumer purchasing decisions. Online shopping has also begun in Indonesia, but consumers are not accustomed to shopping...

Here we assume that the logarithmic asset price is given by a semimartingle. Jacod (2006) has derived an infeasible central limit theorem for the realized variance in such a general framework. However, here we focus on constructing a feasible limit theorem. We propose a new estimator for the...