This paper propose a new panel stochastic dominance (SD) test-PDD test, the asymptotic properties are derived, which extends Davidson and Duclos (DD) SD test to a panel context. The PDD test also contributes to settle one of the demerits while working with financial derivatives time series: that...

Relying on the Stambaugh, Yu, and Yuan (2015) mispricing score and on 45 countries between 1994 and 2013, I document economically meaningful and statistically significant cross-sectional stock return predictability around the globe. In contrast to the widely held belief, mispricing associated...

This paper shows that, counter to common perception, stock prices in China are strongly linked to firm fundamentals. Since the reforms of the early 2000s, stock prices are as informative about future profits as they are in the US. Although the market is segmented from international equity...

Although HFT has become a main feature of financial markets internationally, its impact on equity markets' functioning is still under discussion, since HFT can negatively affect market quality and stability. Regulatory measures recently adopted on both sides of the Atlantic to better control...

This study examines the Russian stock market efficiency from two perspectives. First, we document that for the sample of Russian firms cross-listed on the Main Market of the London Stock Exchange (LSE) as Global Depositary Receipts (GDRs), the return series obtained from both the local market...

Market integration and informational efficiency of stock markets are key policy variables, yet have long been studied as separate concepts. In this article, we address the forthright question of whether a more integrated stock market is also a more informationally efficient market using a panel...

This study is the first to investigate the efficient market hypothesis in its weak form and the random walk behaviour of globally listed private equity (LPE) markets represented by nine global, regional, and style indices based on weekly data covering the period from January 2004 to December...

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...

This paper examines the impact of the introduction of the Euro currency on the market efficiency of ten of the most developed European stock markets during the period 1988-2012. We use an autocorrelation test, a runs test, various formulations of the variance ratio test and the nonlinear BDS...

In 2015 the Tokyo Stock Exchange (TSE) implemented Arrowhead Renewal improvements (ARI) that reduced latency from about one millisecond to less than 0.5 milliseconds. Simultaneously, the ARI introduced new risk management functions to improve market fairness by reducing manipulative trading...