We propose a new approach to measuring the effect of unobservable private information or beliefs on volatility. Using high-frequency intraday data, we estimate the volatility effect of a well identified shock on the volatility of the stock returns of large European banks as a function of the...

Volatilities implied from interest rate swaptions are used to assess the size and the sign of the compensation for volatility risk, for dollar, euro and pound rates at a daily frequency, between October 1998 and August 2006. The measurement of the volatility risk premium rests on a simple model...

In present study, I explore intraday behavior of stock prices. In particular, I try to shed light on the dynamics of stock price reversals and namely, on the short-term character the latter may possess. For each of the stocks currently making up the Dow Jones Industrial Index, I calculate...

This study attempts to examine the price discovery process and volatility spillovers in Gold futures and spot markets of National Commodity Derivatives Exchange (NCDEX) by employing Johansen’s Vector Error Correction Model (VECM) and the Bivariate ECM-EGARCH(1,1) model. The empirical result...

The high-frequency analysis of foreign exchange dynamics is helpful in order to better identify the impact of central bank interventions. Evidence robustly shows that interventions do indeed move the exchange rate level in the desired direction. Interventions increase volatility in the short run...

This paper provides micro-econometric evidence on the relevance of non-market interaction for the timing of initial public offerings (IPOs) in the French and German primary equity markets. The surge of IPO volume in the late 1990s appears to be consistent with rational expectations, not with...

One empirical argument that has been around for some time and that clearly contra- dicts equity market efficiency is that market prices seem too volatile to be optimal estimates of the present value of future discounted cash flows. Based on this, it is deduced that systematic pricing errors...

We examine intra-day market reactions to news in stock-specific sentiment disclosures. Using pre-processed data from an automated news analytics tool based on linguistic pattern recognition we extract information on the relevance as well as the direction of company-specific news....

We study the impact of the arrival of macroeconomic news on the informational and noise-driven components in high-frequency quote processes and their conditional variances. Bid and ask returns are decomposed into a common ('efficient return') factor and two market-side-specific components...

Dieser Aufsatz beschäftigt sich mit der fairen Bewertung einer von der Deutschen Bank AG emittierten Aktienanleihe mit Barriere, die als 'Easy-Aktienanleihe' (ISIN: DE000XM6XYZ2) am Markt angeboten wird. Da Aktienanleihen mit Barriere strukturierte Produkte sind, zerlegen wir diese hierfür in...