Learning about monetary policy rules when the cost-channel matters

We study how monetary policy may affect determinacy and expectational stability (E-stability) of rational expectations equilibrium when the cost channel of monetary policy matters. Focusing on instrumental Taylor-type rules and optimal target rules, we show that standard policies can induce indeterminacy and expectational instability when the cost channel is present. A naïve application of the traditional Taylor principle could be misleading, and expectations-based reaction function under discretion does not always induce determinate and E-stable equilibrium. This result contrasts with the findings of Bullard and Mitra [2002. Learning about monetary policy rules. Journal of Monetary Economics 49, 1105–1129] and Evans and Honkapohja [2003. Expectations and stability problem for optimal monetary policies. Review of Economic Studies 70, 807–824] for the standard new Keynesian model. The ability of the central bank to commit to an optimal policy is an antidote to these problems.     

Are interest rate options important for the assessment of interest rate risk?

Fixed income options contain substantial information on the price of interest rate volatility risk. In this paper, we ask if those options will also provide information related to other moments of the objective distribution of interest rates. Based on dynamic term structure models within the class of affine models, we find that interest rate options are useful for the identification of interest rate quantiles. Two three-factor models are adopted and their adequacy to estimate Value at Risk of zero-coupon bonds is tested. We find significant difference on the quantitative assessment of risk when options are (or not) included in the estimation process of each of these dynamic models. Statistical backtests indicate that bond estimated risk is clearly more adequate when options are adopted, although not yet completely satisfactory.     

The link between product diversification and performance among Spanish manufacturing firms: Analyzing the role of firm size

This study sheds additional light on the product diversification‐performance relationship for firms in a country having recently attained an advanced economy status in our period of analysis. We assume there will be an inverted U‐shaped relationship and use a sample of small, medium, and large Spanish manufacturing firms between 1994 and 2008. Our findings provide solid support for this assumption, and are identical when the sample consists of small, medium, and large firms and of large firms alone. Our results also suggest that the larger the firm, the higher the optimal level of diversification. Panel data models are used to control for unobservable heterogeneity and potential endogeneity problems. Copyright © 2015 ASAC. Published by John Wiley & Sons, Ltd.     

Quantifying the benefits of breaking bulk in retail operations

We explore the benefits of ‘breaking bulk’ in retail operations. Here, breaking bulk refers to delivering single units from distribution centers to retail outlets rather than the multiple units bundled together by manufacturers termed ‘case-packs’. The focus is largely on the benefits to space management at the retail level, rather than the more obvious reduction in inventory costs. Using data from the grocery industry, results indicate that retail unit profitability can be increased substantially by breaking bulk—but only if current inventory replenishment practices are changed. In essence, breaking bulk allows for either higher product variety within a store or identical variety in smaller stores. This work seeks to quantify the order of magnitude of that benefit.     

EVALUATING THE EFFICIENCY OF NONPROFIT ORGANIZATIONS: AN APPLICATION OF DATA ENVELOPMENT ANALYSIS TO THE PUBLIC HEALTH SERVICE

In this paper we have tried to evaluate the usefulness of the DEA model as a management tool when applied to the measurement of the efficiency of health centres. We have chosen the DEA model because it does not need prior specifications. This could be very useful when we lack data on costs. The overall evaluation of a number of health centres provides information on the distinctive features and comparative advantages of the most efficient ones. The information gathered could also be of great use in the selection of those centres in which operational audits should be carried out.     

The effects of public deficits on money growth in the European Union

The impact of government debt on the money supply has been studied for different countries, with an emphasis on developing countries and the U.S. This topic becomes especially interesting in European Union countries that have high public deficits and low inflation rates. It is also very relevant in the monetary union, with a European central bank controlling monetary policy and introducing monetary measures for all the member countries. The main goal of this paper is to analyze if there is any relationship between public deficits and monetary growth in the European Union. The conclusions presented in the previous literature are ambiguous. Some studies concluded that there is little evidence that government debt influences money in some of the member countries.     

QARMA-Beta-t-EGARCH versus ARMA-GARCH: an application to S&P 500

Statistical performance and out-of-sample forecast precision of ARMA-GARCH and QARMA-Beta-t-EGARCH are compared. We study daily returns on the Standard and Poor’s 500 (S&P 500) index and a random sample of 50 stocks from the S&P 500 for period May 2006 to July 2010. Competing models are estimated for periods before and during the US financial crisis of 2008. Out-of-sample point and density forecasts are performed for periods during and after the US financial crisis. The results provide evidence of the superior in-sample statistical and out-of-sample predictive performance of QARMA-Beta-t-EGARCH.     

Carbon management accounting and financial performance: Evidence from the European Union emission trading system

Companies are responding to the effects of climate change by reducing CO₂ emissions as a way of managing stakeholder interests and complying with legal and regulatory requirements. In Europe, the emissions trading system is consolidated as a limiting market and control scheme to support business climate change management through a collaborative relationship between government and industry. This work focuses on the economic accounting field, analysing carbon management accounting and its impact on financial performance in scenarios attached to that trading system. The methodological approach used is quantitative, empirically testing the hypotheses through a multiple regression analysis with a sample of 350 European companies. The results attest to the importance of carbon management accounting (CMA) control and its effects on financial performance. Compared with European emission trading, the results failed to display significant differences in the relationship studied between those that make up this type of market and those that do not.     

Organizational distance and use of collateral for business loans

This paper examines the effect of organizational distance (i.e. distance between the headquarters of the bank that grants a loan and the location of the borrower) on the use of collateral for business loans by Spanish banks on the basis of the recent lender-based theory of collateral [Inderst, R., Mueller, H.M., 2007. A lender-based theory of collateral. Journal of Financial Economics 84, 826–859.]. We find that, for the average borrower, the use of collateral is higher for loans granted by local lenders than by distant ones. We also show that the difference in the likelihood of collateral in loans granted by local lenders, relative to distant lenders, is higher among older and larger firms, than, respectively, younger and smaller firms. We also find that banks use lending technologies that are different for near and for distant firms, in response to organizational diseconomies.     

Forecasting the yield curve with linear factor models

In this work we compare the interest rate forecasting performance of a broad class of linear models. The models are estimated through a MCMC procedure with data from the US and Brazilian markets. We show that a simple parametric specification has the best predictive power, but it does not outperform the random walk. We also find that macroeconomic variables and no-arbitrage conditions have little effect to improve the out-of-sample fit, while a financial variable (Stock Index) increases the forecasting accuracy.