Value-at-Risk (VaR) has become a standard measure for risk management and regulation. In the case of a two-parameter distribution, a common method among practitioners is first to calculate the daily VaR and then to apply it to a longer investment horizon by using the Square Root Rule (SRR). We...

Market risk can be described as potential losses in portfolio value caused by price changes in the investor's portfolio. Value-at-Risk (VaR) quantifies a loss bound that cannot be exceeded with a specified probability at a given time horizon, i.e., a quantile of the portfolio's loss...

This research identifies the presence of long memory given return series of the stock markets in the ASEAN-4 countries, namely, Indonesia, Malaysia, the Philippines and Thailand. Daily stock prices from 1994 to 2004, which were neither adjusted for dividends nor inflation, were employed in the...

We develop a bid-ask spread estimator from daily high and low prices. Daily high (low) prices are almost always buy (sell) trades. Hence, the high-low ratio reflects both the stock's variance and its bid-ask spread. While the variance component of the high-low ratio is proportional to the return...

Positive relationship between trade volume and return volatility is a well-known empirical verified regularity in the financial research. Several studies examined what causes to volume-volatility to evolve and numerous theoretical explanations have been developed to predict/explore this...

In this paper, the relation of asymmetric conditional volatility to market agents' information perception ability is built and positively tested. Liquidity dry-ups during extreme market conditions, that, due to investors' risk aversion, are more pronounced during negative than positive news...

We seek for verification and explanation of arbitrage between securities of dual-listed Brazilian-based companies which are simultaneously traded on the Brazilian and the US stock markets. Following the extant literature, our underlying hypothesis is that arbitrage events can be explained by...

The paper documents the specification and estimation of an econometric model of the Brazilian stock market (Bovespa) using a GARCH(1,1) model. We used quarterly data for an estimation period spanning from January 1995 to December 2003. The empirical results show that GDP growth, exchange-rate...

We analyze event abnormal returns when returns predict events. We show that the expected abnormal return is negative for any fixed sample and this increases with the holding period of returns. However, we prove that if the number of events process is stationary, abnormal returns converge to zero...