Key market values for bottled wine in an emerging market: product attributes or business strategy?

ABSTRACT

This article focuses on the emerging bottled Chilean red wine market and studies the main determinants of the consumer price of wine sold on the domestic market. A hedonic price function was estimated for a sample of 810 wines using a quantile regression (QR) model. The database contains three variable groups to explain price: objective variables (national, international and vine quality designations), subjective variables (wine score) and business strategies used by wine producers. Results show that some objective variables have a greater impact on price than the wine score (a subjective variable) and business strategies, which vary for each quartile of prices analysed. Finally, this information will allow companies to design and implement marketing strategies to inform the consumer about the importance of some variables in the price of their product.     

Factors influencing hedging decision: evidence from Brazilian citrus growers

The purpose of this study was to analyse the hedging behaviour of 98 citrus growers from the State of Sao Paulo, Brazil. Marketing behaviour was modelled as a choice between spot market, short and long‐term forward contracts. A multinomial logistic regression model was used to evaluate the role of behavioural, personal and managerial variables in the choice. Results indicated that the factors which explain the use of forward contracts by citrus growers are the following: risk propensity; trade with juice processing companies; farming diversification; overconfidence in management; participation in pools; use of management tools; and technical assistance. The results can be useful for farmers, policymakers, government agencies, traders and extension agents.     

A bivariate infinitely divisible law for modeling the magnitude and duration of monotone periods of log‐returns

The focus of this article is modeling the magnitude and duration of monotone periods of log‐returns. For this, we propose a new bivariate law assuming that the probabilistic framework over the magnitude and duration is based on the joint distribution of (X,N), where N is geometric distributed and X is the sum of an identically distributed sequence of inverse‐Gaussian random variables independent of N. In this sense, X and N represent the magnitude and duration of the log‐returns, respectively, and the magnitude comes from an infinite mixture of inverse‐Gaussian distributions. This new model is named bivariate inverse‐Gaussian geometric ( in short) law. We provide statistical properties of the model and explore stochastic representations. In particular, we show that the is infinitely divisible, and with this, an induced Lévy process is proposed and studied in some detail. Estimation of the parameters is performed via maximum likelihood, and Fisher's information matrix is obtained. An empirical illustration to the log‐returns of Tyco International stock demonstrates the superior performance of the law compared to an existing model. We expect that the proposed law can be considered as a powerful tool in the modeling of log‐returns and other episodes analyses such as water resources management, risk assessment, and civil engineering projects.     

Susceptibility to Advertising and Perceived Friend Norms: A Meta-Analysis of Materialism in Youths “Meta-Analysis of Materialism in Youths”

This study presents a meta-analysis assessing the antecedents that are associated with the influence that advertising and friends' behaviours have on the formation of materialistic behaviours in youth. We carried out a systematic review in which we identified an initial 217 studies. Of these, 32 were ultimately included in the analysis. Our results revealed significant relationships for the constructs associated directly with susceptibility to advertising (advertising viewing attitudes, attention to advertising, celebrity endorsements in advertising, advertising exposure and TV viewing frequency) and for perceived friends' norms (friends' attitudes, social comparisons with friends and communication with friends) with materialism in youth.     

A dynamic multiple equation approach for forecasting PM2.5 pollution in Santiago,Chile

This paper proposes a methodology based on a system of dynamic multiple linear equations that incorporates hourly, daily and annual seasonal characteristics for predicting hourly ${\text{pm}}_{2.5}$ pollution concentrations for 11 meteorological stations in Santiago, Chile. It is demonstrated that the proposed model has the potential to match or even surpass the accuracy of competing nonlinear forecasting models in terms of both fit and predictive ability. In addition, the model is successful at predicting various categories of high concentration events, between 53% and 76% of mid-range events, and around 90% of extreme-range events on average across all stations. This forecasting model is considered a useful tool for helping government authorities to anticipate critical episodes of poor air quality so as to avoid the detrimental economic and health impacts of extreme pollution levels.     

Wicksellian Rules and the Taylor Principle: Some Practical Implications*

In this paper, we derive and compare the determinacy regions of price-level targeting rules (Wicksellian rules) and Taylor rules in a standard New Keynesian model. We conclude that Wicksellian rules do not require the Taylor principle to hold in order to induce determinacy. Our results have two implications. First, in a univariate setting, the estimation of simple Taylor rules when the true rule is Wicksellian can lead to the erroneous conclusion that the equilibrium is indeterminate. Second, indeterminacy is ruled out when using system-based methods, but it can be concluded that the central bank is less averse to inflation movements than it actually is.     

Multivariate dynamic intensity peaks-over-threshold models

We propose a multivariate dynamic intensity peaks-over-threshold model to capture extremes in multivariate return processes. The random occurrence of extremes is modeled by a multivariate dynamic intensity model, while temporal clustering of their size is captured by an autoregressive multiplicative error model. Applying the model to daily returns of three major stock indexes yields strong empirical support for a temporal clustering of both the occurrence and the size of extremes. Backtesting value-at-risk and expected shortfall forecasts shows that the consideration of clustering effects and of feedback between the magnitudes and the intensity of extremes results in better forecasts of risk.     

Analyzing social media,analyzing the social? A methodological discussion about the demoscopic and predictive potential of social media

Quality & Quantity - The impact of computational technologies and the worldwide use of Internet entails a theoretical and methodological challenge for social scientists, considering the purpose...     

Credit channel and flight to quality in emerging markets: evidence from Chile

Empirical evidence of the credit channel of monetary policy often relies on the observance of flight to quality during monetary tightening. The identification assumption is that the typically smaller firms facing financing constraints, are disproportionally affected by the stance of monetary policy. I argue that when credit constrains are widespread, as may be the case in Emerging Markets, flight to quality should not be expected during monetary contractions. Indeed, in my model, among constrained firms, those with tighter financing constraints are less responsive to monetary conditions. I find evidence supporting my model in a sample of firms from the Emerging Market of Chile.