We construct investor sentiment of UK stock market using the procedure of principal component analysis. Using sentiment-augmented EGARCH component model, we analyse the impacts of sentiment on market excess return, the permanent component of market volatility and the transitory component of market volatility. Bullish sentiment leads to higher market excess return while bearish sentiment leads t...

We examine volatility of an Indian stock market in terms of aspects like participation, synchronization of stocks and quantification of volatility using the random matrix approach. Volatility pattern of the market is found using the BSE index for the three-year period 2000-2002. Random matrix analysis is carried out using daily returns of 70 stocks for several time windows of 85 days in 2001 to...

The stock market crash of 1987 sent shock waves through the world's financial markets. Stock exchanges in New York, Chicago, London, Tokyo, Frankfurt, and a host of other cities suffered major declines. In response, credit markets, commodity markets, and foreign exchange markets registered sharp swings. Not since the Great Depression had the world seen such turmoil in financial markets. But, dr...

A number of recent papers find that the volatility implied by index option prices significantly overstates future stock market volatility. We investigate whether this bias is purely due to measurement error and model misspecification, or whether the bias is also apparent in option market prices. We accomplish this by examining the profits for trading strategies designed to exploit the apparent ...

This paper provides evidence that the positive relation between firm-level stock returns and firm-level return volatility is due to real options that firms possess. Consistent with the theoretical prediction that the value of a real option should be increasing in the volatility of the underlying asset, we find that the positive volatility-return relation is much stronger for firms that are more...

This article examines the impact of SGX MSCI Taiwan Index Futures on the volatility of the Taiwan stock market. The empirical work is conducted with the use of weekly stock returns from 1995 to 1998 and by applying an expanded EGARCH model. Our findings show that there is no structural change on either the conditional or the unconditional variance after the introduction of index futures contrac...

We proposed an artificial market model based on deterministic agents which select their action depending on past price changes. Temporal development of market price fluctuations is calculated numerically. Probability density functions of market price changes have power tails. Autocorrelation coefficient of the changes has an anti-correlation, and autocorrelation coefficient of squared changes (...

This paper examines the technical signal based trading impact on volatility. We show that technical chart patterns, occurring within the euro/dollar currency market, attract the attention of two categories of technical traders. Technical chart patterns provide signals that trigger an increase in both volatility and market activity. The technical signals take place at the end of the chart comple...

The reaction of EU bond and equity market volatilities to sovereign rating announcements (Standard & Poor’s, Moody’s, and Fitch) is investigated using a panel of daily stock market and sovereign bond returns. The parametric volatilities are defined using EGARCH specifications. The estimation results show that upgrades do not have significant effects on volatility, but downgrades increase stock ...

The volatility of its share price reflects the volatility of the market value of a bank’s assets. We present data for the volatilities of individual banks’ shares that are implied by the prices of options on the banks’ shares. We present evidence that implied volatilities (IV’s) better forecast actual, future volatilities of share prices than historical volatilities do. Banks’ IV’s are correlat...