Is there an informational gain by training a Deep Reinforcement Learning agent for automated stock trading using other time series than the one to be traded? In this work, we implement a DRL algorithm in a solid framework within a model-free and actor-critic approach and learn it with 21 global...

In this paper, we extend the literature on crash prediction models in three main ways. First, we explicitly relate crash prediction measures and asset pricing models. Second, we present a simple, effective statistical significance test for crash prediction models. Finally, we propose a...

The transaction-level analysis of security price changes by Madhavan, Richardson, and Roomans (1997, hereafter MRR) is a useful framework for financial analysis. The first-order Markov property of trading indicator variables is a critical assumption in the MRR model, which contradicts the...

Transaction-level analysis of security price change due to Madhavan, Richardson and Roomans (1997, hereafter MRR) has been a useful framework in financial analysis. The one order Markov property of the trade indicator variables is a key assumption in the MRR model, which contradicts the...

This paper aims to search the high volatility of stock prices in stock market crises produced by adverse information, throughout investigating the links between stock price volatility and the institutional features of the major stock exchanges as exist in practice. The study finds that the...

In Nature’s Law, Elliott explained that the Fibonacci sequence provides a mathematical basis of the wave principle. In The Wave Principle of Human Social Behavior and The New Science of Socionomics, Prechter explained how Fibonacci sequence exists at all those instances where growth is the...

Asset diversification has long been fundamental to investment risk mitigation. We compute new long-term country-specific indices of diversification potential for equity, sovereign debt, and real estate. Findings for the 1986-2021 study period indicate markedly declining or persistently dampened...