WHAT CAN WE LEARN FROM THE IMPLEMENTATION OF MONETARY AND MACROPRUDENTIAL POLICIES: A SYSTEMATIC LITERATURE REVIEW

The emergence of macroprudential policies, implemented by central banks as a means of promoting financial stability, has raised many questions regarding the interaction between monetary and macroprudential policies. Given the limited number of studies available, this paper sheds light on this issue by providing a critical and systematic review of the literature. To this end, we divide the theoretical and empirical studies into two broad channels of borrowers – consisting of the cost of funds and the collateral constraint – and financial intermediaries – consisting of risk‐taking and payment systems. In spite of the existing ambiguity surrounding coordination issues between monetary and macroprudential policies, it is argued that monetary policy alone is not sufficient to maintain macroeconomic and financial stability. Hence, macroprudential policies are needed to supplement monetary. In addition, we find that the role of the exchange rate is critical in the implementation of monetary and macroprudential policies in emerging markets, while volatile capital flows pose another challenge. In so far as how the arrangement of monetary and macroprudential policies varies across countries, key theoretical and policy implications have been identified.     

Agency costs and product market competition: The case of audit pricing in Greece

Jensen and Meckling (1976) argue that agency costs are not dependent on product market competition. However, elsewhere in the economics literature, theoretical analysis and empirical research have indicated that product market competition reduces agency costs by reducing the marginal cost of eliciting effort from agents. We investigate the relationship between product market competition and audit fee, as an example of agency cost. Taking advantage of a proprietary data set for Greek audit firms, we find that the audit fee and audit hours are inversely associated with client firm product market competition. We conclude that audit effort, as an agency cost, is reduced where competitive forces reduce the need for shareholders to bear the costs of monitoring agents.     

THE NUMÉRAIRE PROPERTY AND LONG‐TERM GROWTH OPTIMALITY FOR DRAWDOWN‐CONSTRAINED INVESTMENTS

We consider the portfolio choice problem for a long‐run investor in a general continuous semimartingale model. We combine the decision criterion of pathwise growth optimality with a flexible specification of attitude toward risk, encoded by a linear drawdown constraint imposed on admissible wealth processes. We define the constrained numéraire property through the notion of expected relative return and prove that drawdown‐constrained numéraire portfolio exists and is unique, but may depend on the investment horizon. However, when sampled at the times of its maximum and asymptotically as the time‐horizon becomes distant, the drawdown‐constrained numéraire portfolio is given explicitly through a model‐independent transformation of the unconstrained numéraire portfolio. The asymptotically growth‐optimal strategy is obtained as limit of numéraire strategies on finite horizons.     

New classes of improved confidence intervals for the variance of a normal distribution

Two new classes of improved confidence intervals for the variance of a normal distribution with unknown mean are constructed. The first one is a class of smooth intervals. Within this class, a subclass of generalized Bayes intervals is found which contains, in particular, the Brewster and Zidek-type interval as a member. The intervals of the second class, though non-smooth, have a very simple and explicit functional form. The Stein-type interval is a member of this class and is shown to be empirical Bayes. The construction extends Maruyama’s (Metrika 48:209–214, 1998) point estimation technique to the interval estimation problem.     

STABILITY OF THE UTILITY MAXIMIZATION PROBLEM WITH RANDOM ENDOWMENT IN INCOMPLETE MARKETS

We perform a stability analysis for the utility maximization problem in a general semimartingale model where both liquid and illiquid assets (random endowments) are present. Small misspecifications of preferences (as modeled via expected utility), as well as views of the world or the market model (as modeled via subjective probabilities) are considered. Simple sufficient conditions are given for the problem to be well posed, in the sense that the optimal wealth and the marginal utility‐based prices are continuous functionals of preferences and probabilistic views.     

A model for evaluating the effectiveness of middle managers' training courses: evidence from a major banking organization in Greece

Contemporary management thinking embraces the organizational training theory that sustainable success rests, to a great extent, upon a systematic evaluation of training interventions. However, the evidence indicates that few organizations take adequate steps to assess and analyse the quality and outcomes of their training. The authors seek to develop the existing literature on training evaluation by proposing a new model, specific to management training, which might encourage more and better evaluation by practitioners. Their thesis is that training evaluation is best if it can be based on criteria derived from the objectives of the training and they draw on the management effectiveness literature to inform their proposed model. The study seeks to examine the effect of six evaluation levels – reactions, learning, job behaviour, job performance, organizational team performance and some wider, societal effects – in measuring training interventions with regard to the alterations to learning, transfer and organizational impact. The model was tested with data obtained from 190 middle managers employed by a large banking organization in Greece and the results suggest that there is considerable consistency in the evaluation framework specified. The paper discusses these results and draws conclusions about their practical implications. The study's limitations are considered and some future research needs identified.     

Drivers of the real effective exchange rates in high and upper‐middle income countries

This paper revisits the nexus between real effective exchange rate (REER) and total factor productivity (TFP) by controlling for trade openness, financial development and natural resources rents. We use a sample of 60 high‐income and upper‐middle income countries over the period 1995–2015 and employ the GMM estimation framework. Our results advance the empirical knowledge on the drivers of REER by providing robust evidence that the impact of TFP is not uniform across different country clusters. We find that in high‐income countries, increasing productivity causes the REER to depreciate hence becoming more trade competitive while the opposite is true for upper‐middle income countries. Furthermore, financial development and natural resources rents have no meaningful impact in the case of upper‐middle income countries but retain a significant effect in high‐income countries. Trade openness plays a key role in explaining the variation in REER in both country clusters.     

What drives housing price dynamics in Greece: New evidence from asymmetric ARDL cointegration

In this paper, we study the dynamics between house prices and selected macroeconomic fundamentals in Greece. The empirical analysis applies the asymmetric ARDL cointegration methodology proposed by Shin, Yu and Greenwood-Nimmo (2011) over the period from January 1999 to May 2011. The evidence suggests that ignoring the intrinsic nonlinearities may lead to misleading inference. In particular, the results reveal significant differences in the response of house prices to positive or negative changes of the explanatory variables in both the long- and short-run time horizons. The obtained evidence of asymmetry could be of major importance for more efficient policymaking and forecasting in the Greek house market.     

Seasonal decomposition and forecasting of telecommunication data: A comparative case study

In this paper, forecasting models for the monthly outgoing telephone calls in a University Campus are presented. The data have been separated in the categories of international and national calls as well as calls to mobile phones. The total number of calls has also been analyzed. Three different methods, namely the Seasonal Decomposition, Exponential Smoothing Method and SARIMA Method, have been used. Forecasts with 95% confidence intervals were calculated for each method and compared with the actual data. The outcome of this work can be used to predict future demands for the telecommunications network of the University.