Stock markets play a key role in corporate financing in Asia. However, despite their increasing importance in terms of size and cross-border investment activity, the region's markets are reputed to be more “idiosyncratic” and less reliant on economic and corporate fundamentals in their...

According to the financial press, firms with low leverage have lower distress risk due to their reduced exposure to the credit market, especially during credit crises. Compared to their conventional and socially responsible (SRI) counterparts, sharia compliant (SC) stocks are low-leverage...

In this study, I develop a novel methodology to extract crash risk premia from options and stock markets. I document a dramatic increase in crash risk premia after the 2008/2009 nancial crisis, indicating that investors are willing to pay high insurance to hedge against crashes in individual...

Exploiting novel data from Guba forum in China, we analyze the return extrapolation in the cross-section comprehensively and relate it to return predictability and market quality. We find that investors extrapolate from past returns to form their beliefs with exponentially decaying weight and...

We consider a gradient boosting decision trees (GBDT) approach to predict large S&P 500 price drops from a set of 150 technical, fundamental and macroeconomic features. We report an improved accuracy of GBDT over other machine learning (ML) methods on the S&P 500 futures prices. We show that...

This paper examines the presence of a contagion effect between Chinese and G20 stock markets as well as its intensity over a recent period from 1st January 2013 to 7 April 2022. The empirical study is conducted using the time-varying copula approach. The obtained results show strong evidence of...

Modelling of conditional volatilities and correlations across asset returns is an integral part of portfolio decision making and risk management. Over the past three decades there has been a trend towards increased asset return correlations across markets, a trend which has been accentuated...

We employ a wavelet approach and conduct a time-frequency analysis of dynamic correlations between pairs of key traded assets (gold, oil, and stocks) covering the period from 1987 to 2012. The analysis is performed on both intra-day and daily data. We show that heterogeneity in correlations...

We employ a wavelet approach and conduct a time-frequency analysis of dynamic correlations between pairs of key traded assets (gold, oil, and stocks) covering the period from 1987 to 2012. The analysis is performed on both intra-day and daily data. We show that heterogeneity in correlations...

We construct a momentum factor that identifies cross-sectional winners and losers based on a weighting scheme that incorporates all the price data, over the entire lookback period, as opposed to only the first and last price points of the window. The weighting scheme is derived from the...