We propose several connectedness measures built from pieces of variance decompositions, and we argue that they provide natural and insightful measures of connectedness among financial asset returns and volatilities. We also show that variance decompositions define weighted, directed networks, so...

This paper investigates the impact of individual bank fundamental variables on stock market returns using data from a panel of 235 European banks from 1991 to 2005. The sample period marks a significant transition in the European banking sector, characterized by higher competition, lower profit...

The aim of this paper is to demonstrate how the change in actual and potential market risks in the Dow Jones Industrial Average (DJIA) during the two-year period 2007-2008 can be analyzed with the help of-analysis. In the empirical analysis, the average of the Lyapunov exponents for the dynamic...

We study the economic sources of stock-bond return comovement and its time variation using a dynamic factor model. We identify the economic factors employing structural and non-structural vector autoregressive models for economic state variables such as interest rates, (expected) inflation,...

We systematically examine the comparative predictive performance of a number of alternative linear and non-linear models for stock and bond returns in the G7 countries. Besides Markov switching, threshold autoregressive (TAR), and smooth transition autoregressive (STAR) regime switching...

We investigate the performance of a sample of German mutual equity funds over the period from 1994 to 2003. Our general finding is that mutual funds, on average, hardly produce excess returns relative to their benchmark that are large enough to cover their expenses. This conclusion is drawn from...

Exchange market pressure (EMP) measures the pressure on a currencyto depreciate. It adds to the actual depreciation a weightedcombination of policy instruments used to ward off depreciation,such as interest rates and foreign exchange interventions, where theweights are their effectiveness. The...

This paper documents that factors extracted from a large set of macroeconomic variables bear useful information for predicting monthly US excess stock returns and volatility over the period 1980-2005. Factor-augmented predictive regression models improve upon both benchmark models that only...