We analyze the performance and robustness of some common simple rules for monetary policy in a New-Keynesian open economy model under different assumptions about the exchange rate model. Adding the exchange rate to an optimized Taylor rule gives only small improvements in terms of economic...

This paper analyzes the central bank’s optimal objective function in a small open economy model allowing for incomplete exchange rate pass-through. The results indicate that there are welfare gains from different types of monetary policy inertia. The welfare improvements of exchange rate...

The central bank's optimal reaction to foreign and domestic shocks is analyzed in an inflation targeting model allowing for incomplete exchange rate pass-through. Limited pass-through is incorporated through nominal rigidities in an aggregate supply-aggregate demand model derived from some...

This paper investigates the performance of various monetary rules in an open economy with incomplete exchange rate pass-through. Implementing monetary policy through an exchange rate augmented policy rule does not improve social welfare compared to using an optimized Taylor rule, irrespective of...

We develop a structural model of a small open economy with gradual exchange rate pass-through and endogenous inertia in inflation and output. We then estimate the model by matching the implied impulse responses with those obtained from a VAR model estimated on Swedish data. Although our model is...

Standard economic models based on rational expectations and homogeneity have problems explaining the complex and volatile nature of financial markets. Recently, boundedly rational and heterogeneous agent models have been developed and simulated returns are found to exhibit various stylized...

We consider a Bayesian Model Averaging approach for the purpose of forecasting Swedish consumer price index inflation using a large set of potential indicators, comprising some 80 quarterly time series covering a wide spectrum of Swedish economic activity. The paper demonstrates how to...

We extend the standard approach to Bayesian forecast combination by forming the weights for the model averaged forecast from the predictive likelihood rather than the standard marginal likelihood. The use of predictive measures of fit offers greater protection against in-sample overfitting and...

I construct an estimable statistic that predicts whether a financial innovation will spread. The approach embeds the multi-host SIR model from epidemiology within a financial model of correlated securities trade; and takes advantage of the related predictive tools from mathematical epidemiology,...

Smooth mixtures, i.e. mixture models with covariate-dependent mixing weights, are very useful flexible models for conditional densities. Previous work shows that using too simple mixture components for modeling heteroscedastic and/or heavy tailed data can give a poor fit, even with a large...