Given the special characteristics of the Malaysian market, the current study aims to investigate the impact of variables from different levels (firm, industry and country) on the firms’ debt policies. Considering the dynamic nature of capital structure, the study takes the novel approach...

Textual analysis of news articles is increasingly important in predicting stock prices. Previous research has intensively utilized the textual analysis of news and other firm-related documents in volatility prediction models. It has been demonstrated that the news may be related to abnormal...

In this paper, we apply machine learning to forecast the conditional variance of long-term stock returns measured in excess of different benchmarks, considering the short- and long-term interest rate, the earnings-by-price ratio, and the inflation rate. In particular, we apply in a two-step...

In this paper we provide some early evidence of a link between the iTraxx credit default swap (CDS) index market and the stock market. To our knowledge this is the first paper studying this relationship. Knowledge about the link between stock prices, stock return volatilities and CDS spreads is...

Volatility is an important component of asset pricing; an increase in volatility on markets can trigger changes in the risk distribution of financial assets. In conventional financial theory, investors are considered to be rational and any changes in relevant risk are assumed to be a result of...

This study examines the impact of volatility shifts on volatility persistence for three major sector indices of Istanbul Stock Exchange (ISE) and ISE National 100 index over the period beginning from 1997 and ending in 2009. The exponential generalized autoregressive conditional...