This paper proposes maximum likelihood estimators for panel seemingly unrelated regressions with both spatial lag and spatial error components. We study the general case where spatial effects are incorporated via spatial errors terms and via a spatial lag dependent variable and where the...

We compare the performance of maximum likelihood (ML) and simulated method of moments (SMM) estimation for dynamic discrete choice models. We construct and estimate a simplified dynamic structural model of education that captures some basic features of educational choices in the United States in...

This paper is concerned with testing the time series implications of the capital asset pricing model (CAPM) due to Sharpe (1964) and Lintner (1965), when the number of securities, N, is large relative to the time dimension, T, of the return series. In the case of cross-sectionally correlated...

This paper considers a multivariate t version of the Gaussian dynamic conditional correlation (DCC) model proposed by Engle (2002), and suggests the use of devolatized returns computed as returns standardized by realized volatilities rather than by GARCH type volatility estimates. The t-DCC...

Semiparametrische Volatilitätsmodelle -- Hochfrequente und Ultra-Hochfrequente Finanzdaten -- Berechnung des Value-at-Risk auf Grundlage parametrischer und semiparametrischer Modelle -- Analyse von Handelswartezeiten -- Glättung der Volatilität von hochfrequenten Finanzdaten in einem...

Klappentext: Sponsoring zählt zu den etablierten Instrumenten der Markenkommunikation. Angesichts der Kostenexplosion in vielen Bereichen ist die Kontrolle der Sponsoringeffektivität eine dringliche Aufgabe. Bisherige Forschungsarbeiten sind allerdings häufig undifferenziert und...

Shedding light on some of the most pressing open questions in the analysis of high frequency data, this volume presents cutting-edge developments in high frequency financial econometrics. Coverage spans a diverse range of topics, including market microstructure, tick-by-tick data, bond and...

This book explores how to set up an empirical model that helps with forecasting long-term economic growth in a large number of countries. It offers a systematic approach to models of potential GDP that can also be used for forecasts of more than a decade. It is an attempt to fill the wide gap...

This book proposes new methods to value equity and model the Markowitz efficient frontier using Markov switching models and provide new evidence and solutions to capture the persistence observed in stock returns across developed and emerging markets