Resale price maintenance for supply chains distributing products with demand uncertainty

This paper explores the economic roles of resale price maintenance (RPM) in supply chains for a specific product, when consumers have taste heterogeneity and the manufacturer faces demand uncertainty. Two transaction schemes within supply chains are compared: (1) RPM, and (2) decentralized pricing in a competitive market environment. With decentralized pricing, a manufacturer loses the incentive to produce a product in categories where the probability that the manufacturer fails to design the product as suitable to public tastes of consumers is high. However, RPM resolves the problem and induces the manufacturer to supply the good, bringing positive surplus to consumers.     

Stock price synchronicity to oil shocks across quantiles: Evidence from Chinese oil firms

This paper investigates behaviour of stock price synchronicity to oil shocks across quantiles for Chinese oil firms. The spillover effects of the oil market on a firm are segregated into firm-specific and market-wide information. First, our results report a higher level of synchronicity by dynamic conditional correlations than by R-square since the former better captures dynamic linear dependence. Second, we find strong evidence of size effect. In particular, stock price synchronicity is generally higher in large-cap firms than in small-cap ones. Oil shocks affect synchronicity in the upper quantiles differently based on firm size. Third, we also find that synchronicity responds to oil shocks significantly in extreme low quantiles, implying that shocks in the oil market are transmitted to Chinese oil firms via firm-specific information. Finally, we determine that oil shocks have little or no immediate impact on stock price synchronicity; instead, cumulative lagged effect is evident. This evidence highlights the lagging effect of spillover of oil shocks on Chinese oil firms.     

Do regional house prices converge or diverge in China?

This paper aims to test whether the regional house prices are convergent or divergent in China using a monthly panel data set of China’s 70 large and medium-sized cities from July 2005 to December 2010. This issue is closely related to understanding the efficiency of the country-level housing policies made by China’s central government. The test results suggest that the regional house prices in China are generally divergent, and thereby the country-level policies may be inefficient since they do not explicitly take the strong heterogeneity of China’s regional housing markets into consideration. As a consequence, it may be better for China’s central government to further decentralize and devolve its governance toward the housing market to the local governments.     

Predation and network based price discrimination in Chile

This paper uses a model of strategic interaction among firms –that set discriminatory and nonlinear prices– in addition to public information on prices of the plans marketed by the three major mobile phone companies, to assess the extent to which on-net/off-net price differentials in the plans they offered could represent predatory practices in the mobile telephony market in Chile. The results show that the largest companies offered a few plans with an off-net/on-net price differential larger than what a competitive theoretical model predicts. This larger differential is consistent with the notion of predation defined by Hoernig (2007) as reducing a competitor's profits. Despite the fact that these plans were a small fraction of all the plans mobile phone firms offered, they were recently banned by the antitrust authority because of their potential anticompetitive effects.     

Re-examining the economic determinants of alcohol consumption in Canada: controlling for the presence of common correlated effects

Alcoholic beverages represent both an important source of revenue and a driver of expenditure for provincial governments in Canada. As a result, the pricing of alcoholic beverages has substantial public policy implications. In this context, we re-examine existing work estimating the demand for three classes of alcoholic beverage (beer, wine, and spirits) by controlling for common correlated effects. The results reveal that any conclusions regarding the government’s ability to influence alcohol consumption is sensitive to the assumption that the relationship between the demand for alcoholic beverages and economic variables is identical across provinces.     

Agricultural Commodity Price Shocks and Their Effect on Growth in Sub‐Saharan Africa

Commodity price shocks are an important type of external shock and are often cited as a problem for economic growth in Sub‐Saharan Africa. We choose nine Sub‐Saharan African countries that are heavily dependent on a single agricultural commodity for a significant portion of their income. This paper quantifies the impact of agricultural commodity price shocks using a structural non‐linear dynamic model. The novel aspect of this study is that we determine whether the response of per capita GDP for the selected Sub‐Saharan African countries is different to unexpected increases in agricultural commodity prices as opposed to decreases in prices. We conclude that there is very little evidence that an unanticipated price increase (decrease) will lead to a significantly different response in per capita incomes.     

Was It Possible to Stabilise the Price of Wool? Organised Wool Marketing 1916 to 1970

Wool is the only Australian commodity for which there has been an attempt to organise price stability through a buffer stock scheme (1970–91). Growers pressed for the introduction of a scheme since the early 1920s. We test the veracity of claims that the sale of the stockpiles optimised growers' returns. We also simulate the likely outcomes of the reserve price schemes (RPS) proposed in 1925 and 1952, respectively. Our findings are that post-war stockpile disposals did not optimise wool growers' incomes, the undercapitalised proposed RPS of the 1920s would have collapsed in the depression, and that the post-1952 RPS would have been in considerable difficulty.     

A Systematic Review on the Effects of Personalized Price Promotions for Food Products

Recent decades have witnessed the increasing adoption of personalized price promotion (PPP) at grocery stores. Despite the growing body of research debating whether PPP is more effective than untargeted price promotions, there is no literature synthesizing the relevant evidence on food products. Therefore, we conduct a systematic review to examine empirical findings on the effects of PPP targeting food products. Outcomes of 12 identified studies demonstrate larger sales and profit boosting effects of PPP than its non-personalized counterparts. Meanwhile, the results on how this approach influences consumer behavior are mixed. The effectiveness of PPP varies among different targeting strategies (e.g. reward or cross-selling) and information collection methods (e.g. using within- or across-chain data). The findings of this review have important managerial implications for the future evaluation and application of PPP as well as imply potential directions of further research on this topic.     

Quote inefficiency in options markets

In an arbitrage-free economy with non-zero bid-ask spreads the existence of payoffs whose price is lower than the price of a dominated payoff cannot be discarded in general. However, when the former price corresponds to trivial portfolios which involve buying or selling one unit of the basis assets, its presence, although not an arbitrage, is a severe market anomaly which we refer to as an inefficient quote. In an empirical study, we report evidence that indicates that in options markets both the frequency and the magnitude of these anomalies are substantial and we document puzzling patterns in their behavior.     

The role of text-extracted investor sentiment in Chinese stock price prediction with the enhancement of deep learning

Whether investor sentiment affects stock prices is an issue of long-standing interest for economists. We conduct a comprehensive study of the predictability of investor sentiment, which is measured directly by extracting expectations from online user-generated content (UGC) on the stock message board of Eastmoney.com in the Chinese stock market. We consider the influential factors in prediction, including the selections of different text classification algorithms, price forecasting models, time horizons, and information update schemes. Using comparisons of the long short-term memory (LSTM) model, logistic regression, support vector machine, and Naïve Bayes model, the results show that daily investor sentiment contains predictive information only for open prices, while the hourly sentiment has two hours of leading predictability for closing prices. Investors do update their expectations during trading hours. Moreover, our results reveal that advanced models, such as LSTM, can provide more predictive power with investor sentiment only if the inputs of a model contain predictive information.