Non-linear Analysis of Shocks when Financial Markets are Subject to Changes in Regime

International audienceViolent turbulences are often striking the financial markets and an Index of Market Shocks (IMS) was recently introduced in the attempt of quantifying these turbulences. Regime switching linear models have already been used in modelling the conditional volatility of returns. In this paper we propose a description of the IMS with hybrid models integrating multi-layer perceptrons and hidden Markov chains. After sudying the prediction performance of these models, we focus on the series separation and the index behaviour subject to the hidden states

Crises and physical phases of a bipartite market model

We analyze the linear response of a market network to shocks based on the bipartite market model we introduced in an earlier paper, which we claimed to be able to identify the time-line of the 2009-2011 Eurozone crisis correctly. We show that this model has three distinct phases that can broadly be categorized as "stable" and "unstable". Based on the interpretation of our behavioral parameters, the stable phase describes periods where investors and traders have confidence in the market (e.g. predict that the market rebounds from a loss). We show that the unstable phase happens when there is a lack of confidence and seems to describe "boom-bust" periods in which changes in prices are exponential. We analytically derive these phases and where the phase transition happens using a mean field approximation of the model. We show that the condition for stability is αβ<1 with α being the inverse of the "price elasticity" and β the "income elasticity of demand", which measures how rash the investors make decisions. We also show that in the mean-field limit this model reduces to the Langevin model by Bouchaud et al. for price returns.First author draf

Is there Evidence of Shift-Contagion in International Housing Markets?

The paper attempts to provide, for housing markets, evidence of "shift-contagion" at the international level, i. e. regime shifts in the transmission of asset prices during crisis periods. The focus is in particular on UK and Spain. We use a Markov Switching FAVAR framework and regime-dependent impulse response functions. The `Crisis' regime which we identify endogenously is shown to also correspond to an exogenously determined index of frequency of financial crises in OECD countries, which peaked in the early 1990s and in the more recent Subprime crisis. Furthermore, we find that the response of domestic house price to a shock to a common (global) house price factor during a `Crisis' regime is relatively more amplified than in a `Normal' (more tranquil) regime. Less compelling evidence is found for France.contagion, housing market, regime shifts, FAVAR model

A Dynamic Approach to Inflation Targeting in Transition Economies

This study views inflation targeting as a viable regime for more advanced transition economies. A dynamic approach to the trajectory of disinflation and the flexibility of direct inflation targeting is presented in the context of achieving monetary convergence to the EU/EMU. The candidate countries are advised to begin from strict inflation targeting and to follow with a more flexible inflation targeting regime before they establish a necessary 'foundational credibility' and monetary stability. These steps, ultimately followed by the euro-peg, are necessary in preparing for accession to the eurozone. The early experiences of the Czech Republic and Poland with inflation targeting are examined.

Optimal Price Indices for Targeting Inflation under Incomplete Markets

In models with complete markets, targeting core inflation enables monetary policy to maximize welfare by replicating the flexible price equilibrium. In this paper, we develop a two-sector two-good closed economy new Keynesian model to study the optimal choice of price index in markets with financial frictions. Financial frictions that limit credit-constrained consumers’ access to financial markets make demand insensitive to interest rate fluctuations. The demand of credit-constrained consumers is determined by their real wage, which depends on prices in the flexible price sector. Thus, prices in the flexible price sector influence aggregate demand and, for monetary policy to have its desired effect, the central bank has to stabilize price movements in the flexible price sector. Also, in the presence of financial frictions, stabilizing core inflation is no longer equivalent to stabilizing output fluctuations. Our analysis suggests that in the presence of financial frictions a welfare-maximizing central bank should adopt flexible headline inflation targeting – a target based on headline rather than core inflation, and with some weight on the output gap. We discuss why these results are particularly relevant for emerging markets, where the share of food expenditures in total consumption expenditures is high and a large proportion of consumers are credit-constrained.inflation targeting, monetary policy framework, core inflation, headline inflation, financial frictions, liquidity constraints

Pick Your Poison: The Exchange Rate Regime and Capital Account Volatility in Emerging Markets

The authors characterize a country’s exchange rate regime by how its central bank channels a capital account shock across three variables: exchange depreciation, interest rates, and international reserve flows. Structural vector autoregression estimates for Brazil, Mexico, and Turkey reveal such responses, both contemporaneously and over time. Capital account shocks are further shown to affect output growth and inflation. The nature and magnitude of these effects may depend on the exchange rate regime.exchange rate regime, capital account, structural vector autoregression

Crises and physical phases of a bipartite market model

We analyze the linear response of a market network to shocks based on the bipartite market model we introduced in an earlier paper, which we claimed to be able to identify the time-line of the 2009-2011 Eurozone crisis correctly. We show that this model has three distinct phases that can broadly be categorized as "stable" and "unstable". Based on the interpretation of our behavioral parameters, the stable phase describes periods where investors and traders have confidence in the market (e.g. predict that the market rebounds from a loss). We show that the unstable phase happens when there is a lack of confidence and seems to describe "boom-bust" periods in which changes in prices are exponential. We analytically derive these phases and where the phase transition happens using a mean field approximation of the model. We show that the condition for stability is αβ<1 with α being the inverse of the "price elasticity" and β the "income elasticity of demand", which measures how rash the investors make decisions. We also show that in the mean-field limit this model reduces to the Langevin model by Bouchaud et al. for price returns.First author draf