We build a panel of 14 emerging economies to estimate the magnitude of wealth effects on consumption. Using modern econometric techniques and quarterly data, we show that: (i) wealth effects are statistically significant and relatively large in magnitude; (ii) stock market and housing wealth...

The paper uses a panel vector autoregression approach to analyze the dynamics of the transition of investment to shocks to fundamental and financial factors in emerging market economies. By relying on a panel of thirty-one emerging economies and quarterly frequency data for the period...

We build a panel of 14 emerging economies to estimate the magnitude of housing, stock market, and money wealth effects on consumption. Using modern panel data econometric techniques and quarterly data for the period 1990:1-2008:2, we show that: (i) wealth effects are statistically significant...

We propose a framework for estimating network-driven time-varying systemic risk contributions that is applicable to a high-dimensional financial system. Tail risk dependencies and contributions are estimated based on a penalized two-stage fixed-effects quantile approach, which explicitly links...

The aim of this paper is to introduce modern mapping techniques to the finance community. Mapping techniques provide means for representing high-dimensional data on low-dimensional displays. This paper lays out a methodology called the Self-Organizing Financial Stability Map (SOFSM) based upon...