The LM type linearity test for STAR nonlinearities is severely distorted when the process is governed by conditional heteroskedasticity. In order to correct the test we propose a parametric bootstrap. It is shown, by means of Monte Carlo methods, that the bootstrap test is almost exact.

This paper provides evidence on the causes of movements in monthly UK stock prices, examining the role of macroeconomic and financial variables in a nonlinear framework. We allow for time-varying effects through the use of smooth transition models. We find that past changes in the dividend yield...

The asymmetry or counter-cyclical nature and its influence on the persistence of the number of registered unemployed is one of the classic subjects of analysis in economic theory, which has not been tackled in the studies carried out on Spanish unemployment, focusing on demonstrating its long...

A central question in financial economics is how private information is incorporated into asset prices. A common method of measuring private information is the PIN measure, which uses statistical estimation of a sequential trade model of the trading process to estimate the probability of...

This study investigates empirically the presence of nonlinearities in the Athens Composite Share Price Index high-frequency returns. A preliminary analysis indicates that volatility exhibits a periodic intraday inverse J-shaped pattern, associated with the opening and closing of the market....

We develop a discrete-time stochastic volatility option pricing model exploiting the information contained in the Realized Volatility (RV), which is used as a proxy of the unobservable log-return volatility. We model the RV dynamics by a simple and effective long-memory process, whose parameters...

This paper investigates how active price-contingent trading contributes to extreme returns even in the absence of news. Price-contingent trading, which is common across financial markets, includes algorithmic trading, technical trading, and dynamic option hedging. The paper highlights four...

This paper studies bivariate tail comovements on financial markets that are of crucial importance for the world economy: the S&P 500, US bonds, and currencies. We propose to study that form of dependence under the lens of cojump identification in a bivariate Brownian semimartingale with...