This paper develops a framework for assessing systemic risks and for predicting (out-of-sample) systemic events, i.e. periods of extreme financial instability with potential real costs. We test the ability of a wide range of “stand alone” and composite indicators in predicting systemic...

Emerging countries in many cases are more crisis-prone than highly developed industrialized countries. This is in many cases due to a weak or volatile financial sector. The best policy to strengthen crisis resistance is the building up of a sound financial position. A sound financial position of...

In this paper, I examine the effects of advanced economies' conventional monetary policy on gross foreign direct and portfolio investment inflows to emerging economies. I use structural vector autoregressions to analyse and compare the response of each inflow category to world interest rate and...

Since 1997, the Bank of England Monetary Policy Committee (MPC) has met monthly to set the UK policy interest rate. We examine evidence of systematic patterns in exchange rate movements on MPC days over the first decade of operation of the MPC. Daily data reveal significant differences in...

The aim of this paper is to detect periods in which two currencies can be classified as being the'same' asset. Two currencies can be treated as the same asset if their exchange rates vis-à-vis the same base currency are cointegrated with a cointegration vector that is consistent with the...

We empirically test Gabaix and Maggiori (2015)'s prediction that currencies are repriced by the country's external capital dependence when financial constraints of FX intermediaries change. Using solvency indicators, we develop a novel intermediary constraints index capturing riskbearing...

In this study, we examine stock market shocks using a Global Vector Autoregressive (GVAR) model encompassing 26 countries from January 1999 to June 2022. Our findings reveal that i) shocks originating from advanced economies (AD) exhibit greater persistence in generating fluctuations compared to...

This paper develops a framework for assessing systemic risks and for predicting (out-of-sample) systemic events, i.e. periods of extreme financial instability with potential real costs. We test the ability of a wide range of stand alone. and composite indicators in predicting systemic events and...

The paper uses the Self-Organizing Map for mapping the state of financial stability and visualizing the sources of systemic risks as well as for predicting systemic financial crises. The Self-Organizing Financial Stability Map (SOFSM) enables a two-dimensional representation of a...