Real exchange rates: are they dominated by fundamental factors?

Using Bayesian model averaging, we determine which fundamental pair-wise differences suggested by the literature on optimum currency areas give the best explanation of medium-term variability of bilateral real exchange rates. The intercept in the best specification is statistically insignificant, implying that for a hypothetical pair of economies for which the differences were zero, the bilateral real exchange rate would not move. Thus, the ‘non-fundamental’ element of the medium-term real exchange rate variability is, in our sample at least, negligible on average. In other words, floating exchange rate does not in itself imply, on average, more real exchange rate variability in the medium term than an exchange rate peg.     

Size,trend, and policy implications of the underground economy

We study the underground economy within a dynamic and stochastic general equilibrium framework. Our model combines limited tax enforcement with an otherwise standard two-sector neoclassical stochastic growth model. The Bayesian estimation of the model based on Italian data provides evidence in favor of an important underground sector in Italy, with a size that has increased steadily over the whole sample period. We show that this pattern is due to a steady increase in taxation. Fiscal policy experiments suggest that a moderate tax cut, along with a stronger effort in the monitoring process, causes a sizeable reduction in the size of the underground economy and provides a positive stimulus for the regular economy. Both of these effects jointly increase total fiscal revenues.     

Impacts of short-term interest rates on stock returns and exchange rates: Empirical evidence from EAGLE countries

In this study, we estimate Bayesian vector autoregression (BVAR) and time-varying structural VAR (TVP-VAR) models for Brazil, Indonesia, Mexico and Turkey to analyze the impacts of short-term interest rates on stock prices and exchange rates considering the relationships between these variables. BVAR and TVP-VAR models’ estimations indicate that monetary policy decisions of these countries lead to capital movements as well as capital movements may create a considerable amount of variation in exchange and stock markets both in the periods of economic stability and financial crisis. We also reveal that increases in interest rates intending to prevent capital outflows may lead to decrease in stock returns, which in turn may deteriorate the real economic activity in Indonesia, while changes in short-term interest rates in Brazil, Indonesia and Turkey cannot be used as a tool to stabilize the value of their home currencies against the USD. Our study highlights the importance of formulating an optimal monetary policy framework accompanied by macro-prudential polices, which help to reach inflation target and smooth the possible variations in exchange rates and stock prices during economic crisis conditions in Brazil, Indonesia, Mexico and Turkey.     

A new index of financial conditions

We use factor augmented vector autoregressive models with time-varying coefficients and stochastic volatility to construct a financial conditions index that can accurately track expectations about growth in key US macroeconomic variables. Time-variation in the models׳ parameters allows for the weights attached to each financial variable in the index to evolve over time. Furthermore, we develop methods for dynamic model averaging or selection which allow the financial variables entering into the financial conditions index to change over time. We discuss why such extensions of the existing literature are important and show them to be so in an empirical application involving a wide range of financial variables.     

A Bayesian approach to excess volatility,short-term underreaction and long-term overreaction during financial crises

In this paper, we introduce a new Bayesian approach to explain some market anomalies during financial crises and subsequent recovery. We assume that the earnings shock of an asset follows a random walk model with and without drift to incorporate the impact of financial crises. We further assume the earning shock follows an exponential family distribution to accommodate symmetric as well as asymmetric information. By using this model setting, we develop some properties on the expected earnings shock and its volatility, and establish properties of investor behavior on the stock price and its volatility during financial crises and the subsequent recovery. Thereafter, we develop properties to explain excess volatility, short-term underreaction, long-term overreaction, and their magnitude effects during financial crises and the subsequent recovery. We also explain why behavioral finance theory could be used to explain many of the asset pricing anomalies, but traditional asset pricing models cannot achieve this aim.     

A multicriteria model for the assessment of rural development plans in Greece

In the last decades rural communities face the problems of ageing of population, high share of elder farmers and imbalanced distribution of farmers across age classes. The Rural Development Plans (RDPs) of Common Agricultural Policy (CAP) in European Union (EU) are the policy instruments that affect agriculture and the people living in rural areas. The RDP measure “Setting up Young Farmers” aims to fight the demographic problems of these areas. This study is an attempt to highlight the role and the impacts of RDPs and especially of the “Setting up Young Farmers” measure in the prefecture of Thessaloniki in Greece. To this end, a multicriteria mathematical programming model was implemented. This methodology was chosen using the Knowledge Brokerage Approach in the context of the LIAISE project, which proposes a set of support modules that are linked to the impact assessment process with a final goal to support future policies and design. The results showed that the “Setting up young farmers” measure achieved its goals to transfer land to young, trained farmers, to offset the set-up costs faced by young people when establishing themselves in farming.     

Context dependent beliefs

This paper examines a model where the set of available outcomes from which a decision maker must choose alters his perception of uncertainty. Specifically, this paper proposes a set of axioms such that each menu induces a subjective belief over an objective state space. The decision maker’s preferences are dependent on the realization of the state. The resulting representation is analogous to state-dependent expected utility within each menu; the beliefs are menu dependent and the utility index is not. Under the interpretation that a menu acts as an informative signal regarding the true state, the paper examines the behavioral restrictions that coincide with different signal structures: elemental (where each element of a menu is a conditionally independent signal) and partitional (where the induced beliefs form a partition of the state space).     

Is it one break or ongoing permanent shocks that explains U.S. real GDP?

The relative importance of permanent versus cyclical shocks to GDP has been found to depend on the presence or absence of a single break in mean growth. We estimate unobserved components models conditional on a trend break having occurred in any specified quarter and use the Bayesian model averaging to combine the conditional estimates. We estimate a break occurred around 2006:1. Allowing for a break significantly reduces estimates of trend variance. However, enough spread remains in the posterior distribution to indicate that available data does not definitively settle the question of the relative importance of trend versus cycle.     

Taking financial frictions to the data

We estimate a Dynamic Stochastic General Equilibrium (DSGE) model with various financial frictions and analyze how well the model explains the Great Recession. Predictive analysis shows that the model can only slightly better explain the large deviation from trend during the crisis relative to a model without financial frictions. Specifically, the risk premium shock, which is a shock to the external finance premium of the entrepreneurs׳ leverage, explains the largest part of the investment downfall during the crisis. However, the ‘balance sheet’ channel of financial frictions in the model, which structurally links balance sheet conditions of financial intermediaries and nonfinancial borrowers to their borrowing rates, is estimated to be weak. We examine alternative prior specifications for how the financial frictions enter the model and continue to find a limited role for these frictions. Rolling-window estimation provides evidence for substantial time variation in parameters governing financial frictions. We conclude that the well-known financial frictions studied in this paper are not able to explain the financial crisis in a linearized and estimated model.