Econometric Analysis of Financial Markets

This volume evolved from a conference on "Financial Markets Economet rics" held at the ZEW (Zentrum fiir Europaische Wirtschaftsforschung) in Mannheim, Germany in February, 1992. However, not all papers included in this volume were presented at the conference. In some cases the papers are follow-up papers to the ones presented. The purpose of the conference was to bring together researchers from several European countries to discuss their applications of recent economet ric methods to the analysis of financial markets. From a methodological point of view the main emphasis of the conference papers was on cointe gration analysis and ARCH modelling. In . cointegration analysis the links between long-run components of time series are studied and the methods can .be applied to the determination of equilibrium relationships between the vari ables, whereas ARCH models (ARCH is the acronym of autoregressive condi tional heteroskedasticity) are concerned with the measurement and analysis of changing variances in time series. These two models have been the most significant innovations' for the empirical analysis of financial time series in recent years. Six papers of this volume apply cointegration analysis (the papers by MacDonald/Marsh, Hansen, Ronning, Garbers, Kirchgassner/Wolters, and Kunst/Polasek) and seven papers deal with ARCH models (Kramer/Runde, Drost, Kunst/Polasek, Kugler, Eggington/Hall, Koedijk/Stork/deVries, and Demos/Sentana/Shah). Other econometric methods and models applied in the papers include factor analysis (Eggington/Hall and Demos/Sentana/ Shah), vector autoregressions (Kirchgassner/Wolters and Kunst/Polasek), Markov-switching models (Garbers and Kaehler /Marnet), spectral analysis (Kirchgassner/Wolters), stable Paretian distributions (Kramer/Runde and Drost) and ARFIMA models (Drost).

Autorentext
Prof. Dr. Peter Kugler, ist Professor der Neuroanatomie an der Universität Würzburg und Mitautor von anatomischen Lehrbüchern.

Inhalt
Some Pitfalls in Using Empirical Autocorrelations to Test for Zero Correlation among Common Stock Returns.- Temporal Aggregation of Time-Series.- On Long- and Short-Run Purchasing Power Parity.- Cointegration and the Monetary Model of the Exchange Rate.- Does Cointegration Matter in the Empirical Analysis of the CAPM?.- Constructing an Empirical Model for Swiss Franc Exchange Rates and Interest Rate Differentials.- Frequency Domain Analysis of Euromarket Interest Rates.- Structuring Volatile Swiss Interest Rates: Some Evidence on the Present Value Model and a VAR-VARCH Approach.- The Expectation Hypothesis and Interest Rate Volatility on the Euromarket: Some Empirical Results.- An Investigation of the Effect of Funding on the Slope of the Yield Curve.- Stylized Facts, Realignments and Investment Strategies in the EMS.- Risk and Return in January: Some UK Evidence.- Markov-Switching Models for Exchange-Rate Dynamics and the Pricing of Foreign-Currency Options.