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We offer retrospective and prospective assessments of the Diebold-Yilmaz connectedness research program, combined with personal recollections of its development. Its centerpiece in many respects is Diebold and Yilmaz (2014), around which our discussion is organized.
Persistent link: https://www.econbiz.de/10014540961
autoregression, we derive return and volatility spillover indices over the rolling sub-sample windows. We show that there is … substantial difference between the behavior of the East Asian return and volatility spillover indices over time. While the return … spillover index reveals increased integration among the East Asian equity markets, the volatility spillover index experiences …
Persistent link: https://www.econbiz.de/10010277265
This paper addresses the estimation of a semiparametric sample selection index model where both the selection rule and the outcome variable are binary. Since the marginal effects are often of primary interest and are difficult to recover in a semiparametric setting, we develop estimators for...
Persistent link: https://www.econbiz.de/10011396827
Empirical analysis often involves using inexact measures of desired predictors. The bias created by the correlation between the problematic regressors and the error term motivates the need for instrumental variables estimation. This paper considers a class of estimators that can be used when...
Persistent link: https://www.econbiz.de/10010397704
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...
Persistent link: https://www.econbiz.de/10010500191
This paper examines the relationship between stock market development and economic growth in case of Argentina's economy. Apply Granger causality and exogeneity tests based on VEC (vector error correction) models with monthly data covering the period 1993:1-2010:8. The results show that the...
Persistent link: https://www.econbiz.de/10010325080
Inspired by findings of lowdimensional nonlinearities and the Theorem of Takens (1983) forecasting models of financial time series are often built upon nonparametric, i.e. universal nonlinear, univariate relationships. Empirical investigations, however, are seriously contaminated by the problem...
Persistent link: https://www.econbiz.de/10005858892
volatility across di.erent time scales. We call this property asymmetric vertical dependence. It is asymmetric in the sense that … a low volatility state (regime) at a long time horizon is most likely followed by low volatility states at shorter time … horizons. On the other hand, a high volatility state at long time horizons does not necessarily imply a high volatility state …
Persistent link: https://www.econbiz.de/10005859005
In this paper, we investigate the relative performance of Value-at-Risk (VaR) models with the daily stock market returns of nine di.erent emerging markets. In addition to well-known modeling approaches such as variance-covariance method and historical simulation, we study the extreme value...
Persistent link: https://www.econbiz.de/10005859080
This paper presents an empirical investigation of scaling and multifractal properties of U.S. Dollar-Deutschemark (USD-DEM) returns. The data set is ten years of 5-minute returns. The cumulative return distributions of positive and negative tails at di.erent time intervals are linear in the...
Persistent link: https://www.econbiz.de/10005859081