Using 5-year credit default swap (CDS) contracts on 1,247 U.S. firms from 2003 2011, we show a 3-month formation and 1-month holding period CDS momentum strategy yields 52 bps per month. By incorporating past CDS return signals, we further show traditional stock momentum strategies avoid abrupt losses during the crisis period and improve their performance by net 104 bps per month. Both within C...

This paper focuses on the performance of various GARCH models in terms of their ability of delivering volatility forecasts for stock return data. Volatility forecasts obtained from a variety of mean and variance specifications in GARCH models are compared to a proxy of actual volatility calculated using daily data. In-sample tests suggest that a regression of volatility estimates on actual vola...

We investigate the impact of financial crises on two fundamental features of stock returns, namely, the risk-return tradeoff and the leverage effect. We apply the fractionally integrated exponential GARCH-in-mean (FIEGARCH-M) model for daily stock return data, which includes both features and allows the co-existence of long memory in volatility and short memory in returns. We extend this model ...

I study how growth affects liquidity of global stock exchanges and how liquidity determines cross-sectional returns on those stock exchange index portfolios. I measure portfolio liquidity by turnover ratio computed as value of shares traded over the market capitalization. I obtain data from FIBV, an association of global stock exchanges. In a multiple regression model for turnover ratio, I find...

Alternative strategies for predicting stock market volatility are examined. In out-of-sample forecasting experiments implied-volatility information, derived from contemporaneously observed option prices or history-based volatility predictors, such as GARCH models, are investigated, to determine if they are more appropriate for predicting future return volatility. Employing German DAX-index retu...

We construct a Risk Management Index (RMI) to measure the strength and independence of the risk management function at bank holding companies (BHCs). U.S. BHCs with higher RMI before the onset of the financial crisis have lower tail risk, lower non-performing loans, and better operating and stock return performance during the financial crisis years. Over the period 1995 to 2010, BHCs with a hig...

  The main purpose of present study is to analyze the relationship between stock and exchange markets in two Asian countries, Iran and South Korea. A monthly time series of stock price and exchange rate are used over the period 2002: 05 - 2012: 03. The data is collected from the Central Bank of each country and WDI. The calculated stock return and real exchange rate change are used in analysis....

The authors study time-variation in the co-movements between daily stock and Treasury bond returns over 1986 to 2000. Their innovation is to examine whether variation in stock-bond return dynamics can be linked to non-return-based measures of stock market uncertainty, specifically the implied volatility (IV) from equity index options and detrended stock turnover (DTVR). The authors investigate ...

Modelling stock return generating process as a single factor model, we show analytically that the relation between idiosyncratic volatility measured as variance of the residuals and expected stock return in the cross-section may be represented by a parabola that opens to the left and has horizontal axis. This relation is uncovered for stocks of similar volatility and no abnormal return. The sen...

This study examines the relationships between stock fundamental ratios and idiosyncratic volatility from 1993 to 2010 for Australian Securities Exchange listed companies. The portfolio analysis results show that high idiosyncratic volatility companies tend to be small (measured by size), highly leveraged (measured by interest cover ratio), low profitability (measured by return on equity and ear...