scholarly journals Quality Classifications in Competition: Price Formation in the German Wine Market

Author(s):  
Jörg Rössel ◽  
Jens Beckert
Keyword(s):  
2006 ◽  
Vol 47 (5) ◽  
pp. 157 ◽  
Author(s):  
Yuna Chiffoleau ◽  
Catherine Laporte
Keyword(s):  

Author(s):  
Elena A. Fedorova ◽  
Diana V. Zaripova ◽  
Igor S. Demin

This work confirmed the hypotheses about the influence of the mood index on Twitter on the pricing of art objects and the difference between the experts' estimations and the final price of the auction. The hypotheses were tested with the use of a sample of 83 paintings selected on the basis of ratings of ARTNET's online resource about the most expensive works of art ever sold in the last 10–15 years. The sample consisted of 25 artists, for each of them was made an index of moods on Twitter. This index was created by a sentimental analysis of each tweet about the artist on the hashtag for a period of 2 to 4 months between the announcements of sales in the open sources and the direct sale of the work with the use of the two dictionaries AFINN and NRC.


CFA Digest ◽  
2004 ◽  
Vol 34 (3) ◽  
pp. 56-57
Author(s):  
Robert A. McLean
Keyword(s):  

2018 ◽  
Vol 1 (4) ◽  
pp. 9-18
Author(s):  
Rasulov Tulkin Sattarovich ◽  
Khushvaktov Kuvonchbek Ravshanovich

In today’s world of swiftly increasing global economy and continuously changing international trade laws and technology exchange rate plays a pivotal role in the production, price formation, export and import of agricultural products. For many years exchange rate as an integral part of agricultural economics has been ignored. The present study was intended to investigate exchange rate as an impacting factor on the agricultural production. It also considers the researches that have been carried about the impact of the exchange rate on prices and export of agricultural products, theirs analyses and how much impact it has in the situation of Uzbekistan.


2021 ◽  
pp. 193896552098107
Author(s):  
Anyu Liu ◽  
Haiyan Song

The aim of this study is to investigate the long-term determinants of China’s imported wine demand and to forecast wine imports from 2019 to 2023 using econometric methods. Auto-regressive distributed lag models are developed based on neoclassical economic demand theory to investigate the long-term determinants of China’s demand for imported bottled, bulk, and sparkling wine from the top five countries of origin. The empirical results demonstrate that income is the most important determinant of China’s imported wine demand, and that price only plays a significant role in a few markets. Substitute and complement effects are identified between wines from different countries of origin and between imported wines and other liquids. China’s imported wine demand is expected to maintain its rapid growth over the forecast period. Bottled wine will continue to dominate China’s imported wine market. France will have the largest market share in the bottled wine market, Spain will be the largest provider of bulk wine, and Italy will hold the same position for sparkling wine. This is the first study to use a single equation with the general to specific method rather than a system of equations to estimate and forecast China’s demand for imported bottled, bulk, and sparkling wines from different countries of origin. The more specific model setting for each country of origin improves forecasting accuracy.


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