Increasing a brand’s competitive clout: the role of market share,consumer preference,and price sensitivity

The market power (or ‘competitive clout’) of a brand is an increasingly important component of modern marketing strategies. However, the factors that enhance a brand’s competitive clout (BCC) are poorly understood. This study therefore suggests an integrated model of BCC and three factors that are proposed to play a role in its formation: (i) consumer price sensitivity; (ii) brand market share; and (iii) consumer brand preferences. These variables are examined both individually and simultaneously to demonstrate the direct effect of each on BCC and how their inter-relationships contribute to BCC. In doing so, a two-step empirical analysis is conducted. First, two multinomial logit models provide an own- and a cross-price response matrix for a chosen set of competitive brands. Secondly, BCC is regressed against the variables of market share, intrinsic preferences, and price sensitivity using an interaction effects regression model. The results of the analysis show that market share is not the only way to increase BCC; in particular, consumer preferences, and especially pricing decisions, are shown to play a key role in developing a strong brand.     

Liquidity determination in an order-driven market

We exploit full order level information from an electronic FX broking system to provide a comprehensive account of the determination of its liquidity. We not only look at bid-ask spreads and trading volumes, but also study the determination of order entry rates and depth measures derived from the entire limit order book. We find strong predictability in the arrival of liquidity supply/demand events. Further, in times of low (high) liquidity, liquidity supply (demand) events are more common. In times of high trading activity and volatility, the ratio of limit to market order arrivals is high but order book spreads and depth deteriorate. These results are consistent with market order traders having better information than limit order traders.     

Why is timing perverse?

The existence of negative market timing, even for passive portfolios, poses a relevant puzzle when assessing portfolio management. In this paper, we develop a simple theoretical model so as to explain why such perverse market timing might occur and why those stocks with the lowest beta in upward markets exhibit pronounced negative timing. Our explanation is based on the existence of higher correlations of stocks in down markets than in up markets. We find that changes in beta, which drives timing, has four components; however, just two of these, mean covariance shift and covariances dispersion map, serve to explain the asymmetric behavior across stocks. We find that a high percentage of the negative market timing ability identified for mutual funds in the literature could be explained by this bias.     

Speed of Issuance,Lender Specialization,and the Rise of the 144A Debt Market

Using a large sample of convertible and straight debt issues in the public, 144A, and bank loan markets from 1991 to 2004, we find that the 144A market has risen largely at the expense of the nonshelf public market, the overwhelming majority of the 144A issues are subsequently registered, and straight debt issuers with the highest credit quality and transparency tend to use the shelf public market. Our findings suggest that firms’ preference for speed of issuance drives the growth of the 144A market, and banks and qualified institutional buyers have advantages over public lenders in handling credit risk and information asymmetry.     

Can Operating Leverage Be the Cause of the Value Premium?

Recent theoretical models (Carlson, Fisher, and Giammarino, 2004) predict an association between the book-to-market equity ratio (BE/ME) and operating leverage in the cross-section. Consistent with these models, we find a positive association between BE/ME and the degree of operating leverage (DOL), between DOL and stock returns, and between DOL and systematic risk. Overall, our findings provide support for a risk-based explanation for the value premium that is consistent with existing theoretical models. The evolution of systematic risk associated with firm-level investment activity, rather than financial distress, seems to be the main determinant of the value premium.     

Are Flexible Exchange Rate Regimes more Volatile? Panel GARCH Evidence for the G7 and Latin America

This paper investigates empirically the relationship between exchange rate (ER) regimes and volatility of real exchange rate depreciation (RERD), comparing the G7 and 17 Latin American (LA17) countries, during 1970–2010. We estimate a panel autoregressive model with generalized autoregressive conditional heteroskedasticity (GARCH) errors and regime‐specific effects on both the conditional mean and conditional variance. For the G7, we find that, relative to the fixed ER regime, only the freely floating regime shows higher RERD volatility; under the managed floating regime the RERD is equally volatile and under the crawling peg it is actually less volatile. Instead, in the case of the LA17, more flexible ER regimes are associated with more volatile RERD rates, with higher volatility under the managed floating regime than under the crawling peg and with extremely high volatility under the “freely falling” ER regime.     

Modelling the volatility of commodities prices using a stochastic volatility model with random level shifts

We use the approach of Qu and Perron (Econom J 16(3):309–339, 2013) for the modeling and inference of volatility of a set of commodity prices in the presence of random level shifts of unknown timing, magnitude and frequency. Our approach contributes to the study of commodities in several aspects. First, we test for the presence of a genuine long-memory process in the volatility of commodities. Second, we determine that the random level shifts are certainly the main source of variation in the commodity price volatility. Finally, we estimate the volatility and its components as latent variables, thereby making it possible to evaluate their level of correlation with macroeconomic variables in small open economies such as Latin-American countries where the dependence on commodity price volatility is high. We use six commodity series: agriculture, livestock, gold, oil, industrial metals and a general commodity index. All series cover the period from January 1983 until December 2013 in daily frequency. The results show that although the occurrence of a level shift is rare, (about once every 1.5 or 1.8 years), this component clearly contributes most to the variation in the volatility. Furthermore, isolating the level shift component from the overall volatility indicates a strong relationship of this component with a set of business cycle indicators of several Latin American countries.     

Non-market valuation of forest goods and services: Good practice guidelines

The European COST Action E45 on European Forest Externalities (EUROFOREX) participants developed a set of good practice guidelines for the non-market valuation of forests, elaborating on stated and revealed preference methodologies, as well as benefit transfer and meta-analytical procedures. This article presents a summary of the guidelines.     

A Nonlinear Relationship: Unemployment and Economic Growth (Construction Sector) in Spain, 1995.1–2012.2

A quadratic version of the first-difference Okun’s Law model was estimated for Spain (1995.Q1-2012.Q2). An accelerationist version of Okun’s Law was obtained, which allowed us to calculate variable Okun coefficients as well as critical points in the relationship between construction sector growth and the variation in overall unemployment. The optimal economic growth rate was determined to be 7.38 %. By applying principal components, it is demonstrated that this sector led the economic process after 1995.     

Altruism and the Economic Values of Environmental and Social Policies

Altruism is a type of non-use value which can have different definitions depending on the type of goods entering the utility function of the altruists and their expectations about the contributions of others. The purpose of this paper is to measure the trade-offs between different types of altruist values originating from social and environmental policies. Environmental policies are concerned with reducing health effects from a power plant while social policies involve both the attainment of public facilities for education and leisure and an increase in the income of the affected population. The empirical application utilizes a choice experiment technique which allows for valuation of multiple goods. Health effects are decomposed into the values of the risk of becoming ill, the duration of the episodes and the limitations imposed by illness. Altruist values are elicited from a population that is not affected by pollution. Results show that altruism is significant for policies directed to reducing health effects and improving the income level of the affected population, whereas there is egoism for a policy aimed at improving public facilities in the polluted suburb. The value of altruism is significantly influenced by the expectations of net benefits to be received by the affected population.