Measuring large comovements in financial markets

A general, copula-based framework for measuring the dependence among financial time series is presented. Particular emphasis is placed on multivariate conditional Spearman's rho (MCS), a new measure of multivariate conditional dependence that describes the association between large or extreme negative returns—so-called tail dependence. We demonstrate that MCS has a number of advantages over conventional measures of tail dependence, both in theory and in practical applications. In the analysis of univariate financial series, data are filtered to remove temporal dependence as a matter of routine. We show that standard filtering procedures may strongly influence the conclusions drawn concerning tail dependence. We give empirical applications to two large data sets of high-frequency asset returns. Our results have immediate implications for portfolio risk management, derivative pricing and portfolio selection. In this context we address portfolio tail diversification and tail hedging. Amongst other aspects, it is shown that the proposed modeling framework improves the estimation of portfolio risk measures such as the value at risk.     

Klaus Demleitner Projekt-Controlling — Die kaufm?nnische Sicht der Projekte

Ohne Zusammenfassung     

Evaluating GARCH models

In this paper, a unified framework for testing the adequacy of an estimated GARCH model is presented. Parametric Lagrange multiplier (LM) or LM type tests of no ARCH in standardized errors, linearity, and parameter constancy are proposed. The asymptotic null distributions of the tests are standard, which makes application easy. Versions of the tests that are robust against nonnormal errors are provided. The finite sample properties of the test statistics are investigated by simulation. The robust tests prove superior to the nonrobust ones when the errors are nonnormal. They also compare favourably in terms of power with misspecification tests previously proposed in the literature.     

Aufschwung in Deutschland festigt sich trotz weltwirtschaftlicher Risiken

The German economy is already in the fifth year of a moderate upturn, which will continue in 2018. Global economic activity is also expanding rapidly. The increase in economic policy uncertainty seems to have few adverse effects on the world economy. The economic policy agenda of the new US government carries both risks and opportunities for the economic outlook for the US and the world. The Joint Economic Forecast predicts consumer prices in advanced economies to increase by 1.9% in 2018 and expects a change in the ECB’s policy.     

A Personality‐Competence Model of Opinion Leadership

Opinion leaders constitute a central consumer segment for targeted marketing strategies. By separating opinion leadership into a generalized and domain‐specific component, this study examines the psychological profile of N = 417 consumers from Germany and incorporates opinion leadership into a hierarchical framework of human personality. Results emphasize two major sources of domain‐specific opinion leadership (DSOL): personality in the form of a general, domain‐independent influencer trait and competencies in terms of product‐specific knowledge. Moreover, the study highlights a number of traits including the Big Five of personality, typical intellectual engagement, and general self‐efficacy that form a distinct personality profile of DSOL. The effects of these personality traits on DSOL are partially mediated by generalized opinion leadership and objective knowledge.     

Macro‐Fiscal Volatility and the Composition of Public Spending*

Earlier empirical literature has examined some long‐ and medium‐term aspects of macro‐fiscal volatility while leaving its short‐term fiscal impact unexplored. To help fill that gap, we examine the impact of macro‐fiscal volatility on the composition of public spending. To that end, we analyse a panel of 10 EU countries during 1991–2007. Our results suggest that increases in the volatility of regularly‐collected and cyclical revenues such as the VAT and income taxes tend to tilt the expenditure composition in favour of public investment. In contrast, increases in the volatility of ad hoc taxes such as capital taxes tend to favour public consumption spending, albeit only a little. We interpret such volatility innovations as conveying news to the fiscal policymaker about the underlying economic conditions, with especially regularly‐collected and cyclical taxes prompting short‐term cyclical fine‐tuning.     

Flip a coin or vote? An experiment on the implementation and efficiency of social choice mechanisms

Experimental Economics - Corporate boards, experts panels, parliaments, cabinets, and even nations all take important decisions as a group. Selecting an efficient decision rule to aggregate...     

Strukturelle Finanzierungssalden auf verlässliche Füße stellen

Wirtschaftsdienst - Derzeit wird in der EU und Deutschland diskutiert, wie die Fiskalregeln zukünftig ausgestaltet sein sollen. Ein Punkt ist dabei die Berechnung des strukturellen...     

Robust Small Area Estimation under Spatial Non‐stationarity

The effective use of spatial information in a regression‐based approach to small area estimation is an important practical issue. One approach to account for geographic information is by extending the linear mixed model to allow for spatially correlated random area effects. An alternative is to include the spatial information by a non‐parametric mixed models. Another option is geographic weighted regression where the model coefficients vary spatially across the geography of interest. Although these approaches are useful for estimating small area means efficiently under strict parametric assumptions, they can be sensitive to outliers. In this paper, we propose robust extensions of the geographically weighted empirical best linear unbiased predictor. In particular, we introduce robust projective and predictive estimators under spatial non‐stationarity. Mean squared error estimation is performed by two analytic approaches that account for the spatial structure in the data. Model‐based simulations show that the methodology proposed often leads to more efficient estimators. Furthermore, the analytic mean squared error estimators introduced have appealing properties in terms of stability and bias. Finally, we demonstrate in the application that the new methodology is a good choice for producing estimates for average rent prices of apartments in urban planning areas in Berlin.