Macroeconomic and credit forecasts during the Greek crisis using Bayesian VARs

We investigate the ability of small- and medium-scale Bayesian VARs (BVARs) to produce accurate macroeconomic (output and inflation) and credit (loans and lending rate) out-of-sample forecasts during the latest Greek crisis. We implement recently proposed Bayesian shrinkage techniques based on Bayesian hierarchical modeling, and we evaluate the information content of forty-two (42) monthly macroeconomic and financial variables in terms of point and density forecasting. Alternative competing models employed in the study include Bayesian autoregressions (BARs) and time-varying parameter VARs with stochastic volatility, among others. The empirical results reveal that, overall, medium-scale BVARs enriched with economy-wide variables can considerably and consistently improve short-term inflation forecasts. The information content of financial variables, on the other hand, proves to be beneficial for the lending rate density forecasts across forecasting horizons. Both of the above-mentioned results are robust to alternative specification choices, while for the rest of the variables smaller-scale BVARs, or even univariate BARs, produce superior forecasts. Finally, we find that the popular, data-driven, shrinkage methods produce, on average, inferior forecasts compared to the theoretically grounded method considered here.     

Profit strategy of Greek banks: cross-subsidization and diversification versus complementarity

This study analyses the profit strategy employed by banks in Greece using dynamic panel data techniques and a data set which includes proprietary supervisory data covering the whole Greek commercial banking system from 2004 to 2011. We provide evidence that banks use interest- and non-interest income (non-II) as substitutes rather than complements, with non-II representing an indirect competition instrument by the more efficient banks used in place of direct competition with their peers through prices on loans and deposits. This behaviour is explained by further decomposing the non-II into the relatively stable fees component and the volatile trading income. Moreover, we provide evidence that the net-interest income is primarily affected by the banks’ market power and their operating costs, while more efficient banks exploit their core deposit base to lever their non-II. Finally, macroeconomic developments affect both income components, which are found to be procyclical with respect to economic activity. In particular, the two income components are affected differently from inflation implying that non-II provides a natural hedge against adverse effects from deflation on interest income.     

Excess stock returns and news: evidence from European markets

This paper aims at decomposing the forecast error variance of excess returns in five major European stock markets into the variance of news about future excess returns, dividends and real interest rates. Special emphasis is given on the issue of stationarity and structural breaks in the unconditional mean of dividend yields and their implications for variance decompositions. Empirical results indicate that in some markets the dividend yield is subject to structural breaks in the mean. Evidence from Monte Carlo simulations suggests that this kind of structural breaks cause small-sample bias in variance decompositions of a magnitude comparable to bias introduced by unit roots. Our results constitute a warning about return decompositions that, in particular, use variables in the forecasting equations that may be nonstationary or contain a structural break.     

Foreign exchange intervention and equilibrium real exchange rates

Monetary authorities intervene in the currency markets in order to pursue a monetary rule and/or to smooth exchange rate volatility caused by speculative attacks. In the present paper we investigate for possible intervention effects on the volatility of nominal exchange rates and the estimated equilibrium behaviour of real exchange rates. The main argument of the paper is that omission of intervention effects – when they are significant – would bias the ability to detect any PPP-based behaviour of the real exchange rates in the long run. Positive evidence for this argument comes from the experience of six Central and Eastern European economies, whose exchange markets are characterised by frequent interventions.     

Drift in the relative price of primary commodities: a case where we care about unit roots

The evidence for the Prebisch-Singer hypothesis, of a downward drift over time in the relative price of primary commodities, is considered. The apparent strength of that evidence appears to depend, to a substantial degree, on whether the time series of relative prices is assumed to be trend stationary or integrated of order one. Moreover, the usual econometric tests are relatively uninformative on this question. These conclusions emerge whether or not a structural break in the series is permitted.     

Exploring geographic variation in corporate broadband adoption; evidence from Irish small- and medium-sized enterprises (SMEs)

Despite its growth experience, Ireland still lags behind in international league tables on broadband adoption and within Ireland great disparities exist between central and peripheral regions. This paper explores the context-specific determinants of broadband adoption among Irish small- and medium-sized enterprises (SMEs), attempting to shed some light on the sources of the considerable geographic variation in particular. Drawing from determinants of broadband adoption identified in literature the authors develop a number of plausible hypotheses. Using cross-section data from a ComReg survey of Irish-based SMEs, a logit model of broadband adoption is estimated. Among other factors, a company's industrial sector and other demand proxies are good predictors of broadband adoption. Controlling for other factors, regional ISP market concentration appears to be negatively associated with the probability of broadband adoption. It is argued that, in the absence of more detailed information, statistics on regional-level market structure could be a promising indicator of the supply-side.     

Information in balance sheets for future stock returns: Evidence from net operating assets

In this paper, we show that the negative relation of net operating assets (NOA) with future stock returns first documented by Hirshleifer et al. (2004) applies to both net working and investing pieces of NOA, while it is mostly driven by asset NOA components. Predictability of returns is significant only for their unexpected parts (unrelated to past sales growth) and not uniform across different industries. We also find that only high (low) NOA firms with asset expansion (contraction) and weak (strong) background of profitable investments exhibit negative (positive) abnormal returns. Our evidence suggests that the NOA anomaly may be present due to a combination of opportunistic earnings management and agency related overinvestment.     

‘Optimal’ probabilistic and directional predictions of financial returns

This paper examines the probability of returns exceeding a threshold, extending earlier work of Christoffersen and Diebold (2006) on volatility dynamics and sign predictability. We find that the choice of the threshold matters and that a zero threshold (leading to sign predictions) does not lead to the largest probability response to changes in volatility dynamics. Under certain conditions there is a threshold that has maximum responsiveness to changes in volatility dynamics that leads to ‘optimal’ probabilistic predictions. We connect the evolution of volatility to probabilistic predictions and show that the volatility ratio is the crucial variable in this context. The overall results strengthen the arguments in favor of accurate volatility measurement and prediction, as volatility dynamics are integrated into the ‘optimal’ threshold. We illustrate our findings using daily and monthly data for the S&P500 index.