In this study, we analyze the effects of sovereign credit rating reviews on national stock market performances in GIIPS and BRIC countries during the European Sovereign Debt Crisis of 2009-2013. Through an event study, we test the Null Hypothesis that cumulative abnormal returns on national...

We use stock market data to test cross-sectional implications of theories of sovereign default and provide a market-based estimate of sovereign default costs. We find that the stock prices of firms vulnerable to financial intermediation disruption, or firms more exposed to the government, are...

We explore the impact of delisting on the performance of the momentum trading strategy in Australia. We employ a new dataset of hand-collected delisting returns for all Australian stocks and provide the first study outside the U.S. to jointly examine the effects of delisting and missing returns...

We develop an Artificial Stock Market - an agent-based simulation model of the stock market with many risky assets. The ASM has three layers of heterogeneous and interacting agents, and generates prices for 150 stocks. We present the current state of the model and demonstrate its ability to...

In this paper we investigate sources and characteristics of value, size and momentum profits on the Polish stock market. The research aims to broaden the academic knowledge in a few ways. First, we deliver fresh out-of-sample evidence on value, momentum, and size premiums. Second, we analyzemthe...

An examination of the Shiller cyclically adjusted pricing-earnings (CAPE) ratio reveals its forecasting power for 12-month CRSP equally weighted (EW) excess returns and value weighted (VW) excess returns. The 12-month EW excess returns following low CAPE ratios are, on average, 20.7% higher than...

This paper investigates whether industry affiliation matters to implementing industry momentum strategies. After discriminating between relevant and redundant industries it shows that only a subset corresponding to less than 50% of the overall market capitalization generates significant momentum...

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...

This paper evaluates the performance of machine learning methods in forecasting stock returns. Compared to a linear benchmark model, interactions and non-linear effects help improve predictive performance. But machine learning models must be adequately trained and tuned to overcome the high...

In the framework of small-scale agent-based financial market models, the paper starts out from the concept of structural stochastic volatility, which derives from different noise levels in the demand of fundamentalists and chartists and the time-varying market shares of the two groups. It...