Energy‐milk price transmission at the product brand level

This article estimates the pass‐through rates between diesel fuel and retail milk prices at the product brand level. Using a random coefficient logit demand model and taking the direct and indirect impacts of energy prices, this research identifies changes in pass‐through rates before and after the great recession in 2008. Empirical results show that diesel prices significantly impacted the retail prices of milk products and are an important determinant of food price inflation. Pass‐through rates are estimated to range from 0.16 to approximately 0.60 through 2008 with an average of 0.22 for the whole period. Statistical tests indicate that pass‐through rates before June 2008 were significantly higher than after June 2008 when they dropped significantly to 0.04 to 0.17. Interestingly, private label brands have the lowest pass‐through rates, implying that compared to manufacturer brands, private label prices are more insulated from diesel price shocks.     

中国货币政策利率传导效率研究:2008-2017

随着利率市场化进程的不断推进以及商业银行利率定价机制的发展,中国货币政策利率的传导效率也不断提高。基于2008年1月-2017年6月的宏观时间序列数据和微观调研数据,本文检验了中国货币政策利率对银行贷款利率的传导效率。总体而言,基准利率是影响金融机构贷款加权平均利率的主要因素。分时间段看,贷款利率浮动限制放开之后,货币市场利率对金融机构贷款利率的传导效率显著提升;基准利率对金融机构贷款利率的影响略有下降,但仍然占主导。对商业银行贷款利率定价的微观机制进行探讨后,本文发现贷款利率定价机制的变化是中国利率传导效率出现变化的主要原因。进一步的分析表明,资金来源和市场利率波动均是影响货币市场利率传导效率的重要因素。最后,本文就如何提高货币政策利率传导效率提出了政策建议。本文研究对完善价格型货币政策体系以及中国货币政策框架转型具有重要的实践意义。     

Effect of Price Change Alert on Perceptions of Hotel Attribute-based Room Pricing (ABP) versus Traditional Room Pricing (TRP)

Aside from marketing information on traditional room rates, hotels and online travel agents (OTAs) are trying a new pricing technique based on the attributes of guestrooms. This research investigates how attribute-based room pricing (ABP) differs from traditional room pricing (TRP) in influencing consumer reactions when consumers receive a price change alert before (vs. after) sales. Through a series of experiments, we found that TRP and ABP result in similar alert attitude, brand attitude, and visit intention for presale price change alert. However, ABP leads to more favorable results for postsale price change alert. We examined the underlying mechanism and found that perceived fairness mediates the effect of pricing strategy on brand attitude, price alert attitude, and visit intention for postsale alert only. This research provides hotel managers and OTA marketers with guidance on when to send either type of price change message to consumers.     

Big data hedonic pricing: Econometric insights into room rates’ determinants by hotel category

This research uses a big dataset of online prices published on Booking.com by three-, four- and five-star hotels located in Madrid (Spain). Data is broadened by other sources, resulting in a rich set of context-, hotel- and offer-based variables. This research aims to determine the impact of these variables on the online room prices set by one representative sample, featuring the total pricing behaviour as well as per hotel categories. The variables considered, their extent and the insight per category represent a novelty and complement the literature on demand forecasting and hedonic pricing, enabling the improvement of optimisation techniques. The models, based on regression analysis with random effects, reveal a significant impact of the variables on room prices and a clearly distinct behaviour for five-star hotels. This research contributes to the scientific community and practitioners by showing the pricing dynamics behaviour of an important urban destination by star rating.     

The pricing of European airbnb listings during the pandemic: A difference-in-differences approach employing COVID-19 response strategies as a continuous treatment

The COVID-19 pandemic has been a major shock to the global tourism industry. Given its peculiarity, this paper analyzes one of the most intriguing questions in the Airbnb literature – the pricing of Airbnb listings – by taking advantage of a difference-in-differences methodology that largely draws on variations in country-level policy responses to the pandemic. Relying on a dataset containing weekly information from 130,999 continuously active listings across 27 European countries from 2019 to 2020, this study first investigates the exogenous impact of response policies (proxied by the COVID-19 Stringency Index) on demand. Secondly, accounting for the endogeneity of both demand and prices, this research analyzes pricing responses to demand variations. Results show that: i) increases in the COVID-19 Stringency Index cause significant declines in Airbnb demand; ii) increases in demand cause, on average, increases in Airbnb prices; and iii) pricing strategies between commercial and private hosts differ substantially.     

Estimating the duration of different seasons and their impact on hotel room prices

The purpose of the study is to accurately measure the span of different seasons and its effect on the fluctuation of the occupancy rate and the average room rates in the hospitality sector. While prior studies have concentrated on measuring seasonality using calendar months, this study takes a different approach by measuring seasons in terms of the date count so that the exact starting and ending date of a season can be identified. This step involves adopting a non-parametric methodology that split the time scale into several small parts to obtain a better fit of the relationship and that can detect the starting and end of the season when given specific dates.     

Factor pricing of cryptocurrencies

In this paper, we study the cryptocurrency pricing factors. We review the literatures which state that the cryptocurrency market is weakly efficient. We use the Fama–MacBeth method to investigate the pricing factors. The classical equity-based risk factors including size, momentum, and value to growth from the Fama–French three factor model are studied. We use crypto-unique coin-to-token as a proxy for value-to-growth. For volatility risk factor category, we investigate realized volatility, skewness and jump. We also investigate liquidity factors including bid–ask, volume growth and Roll’s measure. The macro factors are found not to be an explanatory factor. The attention factor works sometimes. The factor model constructed by the significant factors explain most of the excess return of cryptocurrencies.     

The effect of specific discount pattern in terms of price promotions on perceived price attractiveness and purchase intention: An experimental research

This study aims to investigate consumer perceptions and reactions in terms of specific discount patterns (fixed price, 40% discount, discount from 500 TL to 300 TL and 20% + 25% discount) in price promotion. According to the results, specific discount patterns in price promotion have a significant effect on perceived price attractiveness and purchase intention. When the specific discount patterns in price promotion and gender interaction were analyzed in terms of perceived price attractiveness, the scenario of the “discount from TL 500 to TL 300” significantly differentiated from both the control scenario (fixed price) and experimental scenarios for female. For males, no significant difference was found between the control and experimental scenarios. In terms of purchase intention, a significant difference was found between the fixed price scenario and the discount scenario from 500 TL to 300 TL and between the fixed price and 20% + 25% discount scenario. The theoretical managerial implications of the study were discussed, and future research suggestions were presented.     

对我国商业银行中间业务的定价机制与风险管理的思考

商业银行中间业务经营成本主要有：人力费用成本、物力消耗成本、风险产品承受成本。定价机理应采用经营成本收费制度，建立全成本核算体系。遵循合理、公平、诚信和质价相符的中间业务定价原则，积极加强与客户的沟通与告知；遵循中间业务定价流程，进行客户层次细分和市场定位；运用SWOT分析法，谋求竞争定价与实行差别定价，积极加强与同业的合作，防止恶性竞争；坚持服务性能创新，提高服务附加值含金量；适时对银行员工进行培训，积极让员工参与定价决策；适应开放型定价的趋势和要求，酌情考虑产品的关系定价。与此同时应强化担保承诺类表外业务的信用风险管理，交易类中间业务的市场风险管理，服务类中间业务的操作风险管理，而表外业务的信用风险和市场风险管理是风险管理重点。此外，商业银行开展中间业务还应防范政策风险和法律风险。     

Consumer perceptions of refund depth and competitive scope in price-matching guarantees: effects on store patronage

The study investigates the effect of two characteristics of price-matching guarantees—the depth of refund offer and the scope of competitors eligible for price matching—on consumer perceptions of price-matching guarantee believability and value and consumer intentions to patronize the retailer. The results show that large refund offers built consumer patronage intentions by enhancing perceptions of the value of the price-matching guarantee, while simultaneously exerting a negative impact on patronage by reducing believability of the price-matching promise. The competitive scope also affected the patronage intentions by influencing the perceived value of the price-matching policy.