Prediction of NFT Sale Price Fluctuations on OpenSea Using Machine Learning Approaches

The rapid expansion of the non-fungible token(NFT)market has attracted many investors.However,studies on the NFT price fluctuations have been relatively limited.To date,the machine learning approach has not been used to demonstrate a specific error in NFT sale price fluctuation prediction.The aim of this study was to develop a prediction model for NFT price fluctuations using the NFT trading information obtained from OpenSea,the world’s largest NFT marketplace.We used Python programs to collect data and summarized them as:NFT information,collection information,and related account information.AdaBoost and Random Forest(RF)algorithms were employed to predict the sale price and price fluctuation of NFTs using regression and classification models,respectively.We found that the NFT related account information,especially the number of favorites and activity status of creators,confer a good predictive power to both the models.AdaBoost in the regression model had more accurate predictions,the root mean square error(RMSE)in predicting NFT sale price was 0.047.In predicting NFT sale price fluctuations,RF performed better,which the area under the curve(AUC)reached 0.956.We suggest that investors should pay more attention to the information of NFT creators.We anticipate that these prediction models will reduce the number of investment failures for the investors.

Impact of Sharp Fluctuations of Live Pig Prices on Financial Capacity of Pig Breeding Enterprises : An Analysis Based on the Data of Listed Enterprises from 2018 to 2021

Based on the general equilibrium theory of microeconomics,this study first analyzed the causes of sharp fluctuations in live pig prices,and then explored the financial capabilities of enterprises during the sharp fluctuations of live pig prices by using the financial data of 4 typical top listed enterprises from 2018 to 2021.By comparing the changes in the capabilities of enterprises,the impact of price on the financial capability of enterprises and differences were identified.The research results showed that the price of live pigs played a decisive role in enterprise profits,and there were huge differences in the fluctuation period.In the sharp increase period of price,price temptation is easy to cause enterprises to over-invest,resulting in excessive growth of enterprise assets,and increasing the business risk of enterprises.Based on the above conclusions,some policy suggestions were put forward to promote the stable development of industry from the three levels of enterprises,industries and government departments.

Study on Long-Term Generation Expansion Planning upon the LNG Price Fluctuations

About 37% of South Korea’s greenhouse gas emission is from electricity generation. Most of the country’s electric power is fundamentally generated by nuclear, thermal and LNG facilities. And LNG, of them, is characterized to require high cost for power generation but CO2 coefficient is lower than thermal generation. Amid the ongoing global efforts to tackle global warming, shale gas introduction and changing global environment, LNG prices are expected to fluctuate. Against this backdrop, this paper seeks to perform scenario tests on LNG fuel cost fluctuation and examine its long-term effects on generation expansion planning.

Research and Forecast of Egg Price Fluctuation in China

In recent years,the price of eggs fluctuates violently in China,and the fluctuation of egg price affects the interests of farmers directly.Egg is also an indispensable ingredient in our diet.This paper studies the egg price from January 2000 to February 2019 by using time series multiplier model to analyze seasonal factors of egg price,and then predicts the fluctuation of egg price by using neural network.The results show that the predicted value is consistent with the fluctuation cycle of egg price.Finally,some targeted suggestions are put forward on the basis of the existing problems in the egg market in China.

Analysis of Pig Price Fluctuation in Recent Decade Based on the Changes in Breeding Scale

In recent decade, the fluctuation of pig price has become more and more acute with obvious periodicity. Currently, the pig breeding mode dominated by individual households leads to acute fluctuation of pig price to some extent. The scale expansion of recent decade intensified the fluc- tuation of pig price in the short term but will stabilize the price in the long term. Therefore. it is necessary to expand breeding scale for maintaining long-term price stability and the optimal scale should be chosen according to the circumstances to ensure the social benefit maximization.

Pig Price Fluctuations and Forecasting Model Based on Information Platform

Pork is common in people's daily life consumption,and it accounts for more than half of all meats. By collecting data information published by Bureau of Statistics and Bureau of Agriculture,this paper makes a statistical analysis of the influence of price fluctuation in the pork market on China's pork production,and finds that China's pork production shows a general trend of fluctuations due to the impact of price factors.According to the predecessors' studies on the factors influencing pig market price,combined with the actual situation of pig breeding in China,this paper uses the latest website data released by the government's public information platform to establish a forecasting model.

Study on Vegetable Price Fluctuation and Its Impact in Guangxi

Vegetables,as one of the most important non-staple foods in the daily consumption of Chinese residents,are closely related to the life of urban residents. The fluctuation of regional vegetable prices has a negative effect on producers and consumers. Relevant research on vegetable price fluctuations has been carried out,which provides a corresponding basis for realizing the balance of supply and demand in the agricultural products market within Guangxi,and for government departments to macro-regulate agricultural production and optimize the agricultural industrial structure.

Impact and Policy Implications of Swine Epidemic on Price Fluctuation of Livestock Products in China

The drastic price fluctuation of livestock products caused by frequent swine epidemics has seriously affected the stable and healthy development of the livestock product market.It is important to develop strategies for the stability and development of livestock product market by understanding the impact of swine epidemic on the price of livestock products.Therefore,we systematically analyzed the impact of the swine epidemic on the price of livestock products in China based on monthly data from February 2009 to July 2020 using the factor augmented vector autoregression(FAVAR)model.The results showed that:(i)During the swine epidemic,the price of pork first showed a negative response and then a positive response,while the price of other livestock products showed positive response overall.(ii)The price of pork was the most affected by the swine epidemic,followed by price of chicken.Price fluctuation of beef and mutton was similar,and the price response of eggs and fresh milk was relatively smaller.Based on these results,we put forward policy suggestions for stabilizing the price of livestock products in China during swine epidemic from the aspects of improving the defense system and guiding consumption scientifically.

Why Are There Great Fluctuations in the Prices of Vegetables?

The normal supply of vegetables is related to the people's livelihood and social stability,and smooth prices of vegetables are vital to social development. Based on the phenomenon of great fluctuations in the prices of vegetables in recent years,we use living example to analyze the real reasons for great fluctuations in the prices of vegetables from the perspective of supply chain node of vegetables and macroeconomic policies. Finally,from the balance of supply and demand,industry standardization,circulation,market order and the government mechanism,we put forth the following management strategies for controlling great fluctuations in the prices of vegetables: establishing and improving the channels of information transmission,making the production and marketing information symmetrical,and balancing supply and demand; actively promoting the industry standardization of vegetables; reducing the intermediate links,and curtailing the circulation cost of vegetables; regulating the " green channel" of vegetables,and preventing uptick in the prices of vegetables in the " last mile" ; cracking down on the vegetable speculation behavior to ensure the healthy development of the vegetable market; actively giving play to the role of government,and building the vegetable protection system.

Theory Analysis of Model for Price Fluctuations in a Single Commodity Market

The price model for a single commodity market is a very important economic model that describes the basic rules for price fluctuations in a single commodity market. In this paper, we investigated the general case for the model, and proved that every positive solution is bounded and we obtained a necessary and sufficient condition for oscillation of every positive solution concerning positive state solution.

Study on Fluctuation of Grain Yield in China's Major Grain Producing Areas

By using the statistical data of grain yield in China's major grain producing areas from 1949 to 2008,and fluctuation theory,the historical process and main cause of fluctuation of grain yield in China's major grain producing areas are analyzed.The results of research show that the grain yield in China's major grain producing areas grows in unstable fluctuation,with high-frequency fluctuation cycle and regular length;the amplitude of fluctuation,on the whole,is moderate,with not strong stability;the fluctuation of grain yield has correspondence,reflecting the N-shape developmental trend of grain production at present;the fluctuation of grain yield has gradient characteristics;in the process of comparison of grain yield,the average growth rate annually of grain yield in China's major grain producing areas is higher than that of the national average,but the relative fluctuation coefficient is also higher than that of the national average.From five aspects,namely natural disaster,agricultural policy,production input,grain price and grain circulation,the cause of fluctuation of grain yield in China's major grain producing areas is analyzed,and measures of preventing and arresting super-long fluctuation of grain yield are put forward.Firstly,stick to strict farmland protection system,and strive to promote farmland quality;secondly,strengthen infrastructure construction of grain production and beef up the ability of preventing natural disaster;thirdly,quicken the pace of agricultural technology and establish robust technology supporting system;fourthly,lay stress on innovation of agricultural organization system and provide implementation path and vehicle for application of agricultural technology measures;fifthly,perfect disaster precaution system and grain market system,and strengthen the ability of preventing risk of grain production.

甘肃省苹果“保险+期货”价格风险管理研究

采用EGARCH模型实证分析了2017—2021年甘肃省苹果价格波动特征,结果表明,甘肃省苹果价格序列呈现“尖峰厚尾”特征,当期苹果价格上涨对下期市价波动的影响更大。甘肃省通过建立苹果“保险+期货”价格风险管理机制增强了苹果产业链规避价格风险的能力,为农户防范苹果价格波动风险构筑了屏障。甘肃省全面推行苹果“保险+期货”还存在制约因素:资金不足,补贴依赖性强,期货基差风险、期货对冲风险影响保险效果。全面推广苹果“保险+期货”业务需要进一步增加政府资金支持、拓宽保险资金筹集渠道、创新保单设计和场外期权产品、加强农户的金融知识培训、优化参与主体的协同机制及加强新一代信息技术应用。

基于VAR模型的生猪产业链价格波动影响因素分析

生猪产业链价格剧烈波动不仅关系消费者的切身利益,也对生猪产业长远发展具有重要影响。基于2009—2022年161个月度样本数据,文章采用VAR模型,从生猪产业链主要产品价格以及上游环节、中下游环节2个层面出发,探究生猪产业链价格波动的影响因素。结果显示:生猪产业链价格波动受自身主要产品价格的影响最大,前10期生猪产业链主要产品价格对当月生猪产业链价格波动仍具有61.835 8%的影响。从产业链上游环节观察,稻糠价格、大豆价格和小麦麸价格均能够对生猪产业链价格波动产生显著影响,前10期稻糠价格对当月生猪产业链价格波动的影响达到39.783 8%。从产业链中下游环节观察,通货膨胀水平和养殖场规模对生猪产业链价格波动的影响程度较大。研究表明,生猪产业链价格波动容易受到自身主要产品价格、稻糠价格、大豆价格、小麦麸价格、通货膨胀水平、养殖场规模等因素影响,应从完善价格波动预警机制和加强流通运行环节调控两方面着手推动生猪市场稳定发展。

我国饲料原料价格波动的非对称性与持续性研究——基于马尔科夫状态转换自回归模型的实证分析

文章选择饲料行业信息网2002年1月——2022年4月小麦、玉米、大豆价格指数,使用马尔科夫区制转换模型,剖析全国饲料原料价格波动的非对称性和持续性。结果显示,我国饲料原料价格各阶段的波动风险与相互转移具有非对称性,即我国小麦价格、玉米价格、大豆价格滑落阶段波动风险大于升高阶段。我国小麦价格各阶段平均持续期与持续概率具有较大差距;在平均持续期,相较“滑落阶段”,玉米和大豆价格处在“升高阶段”的持续期明显高,而小麦价格的持续期与之相反;从持续概率分析,小麦处于“滑落阶段”的持续概率最大,玉米处于“升高阶段”的持续概率最大,与平均持续期结论相类似。研究对饲料原料价格稳定、推动饲料原料产业可持续发展具有重要参考价值。

中国半滑舌鳎价格波动及其影响因素研究

作为中高端海水产品,近年来半滑舌鳎的价格波动剧烈,对养殖户和消费者造成了较大影响。对2010—2020年半滑舌鳎月度价格的波动特征及其影响因素进行分析的结果表明,月度价格存在明显的季节性和周期性特征,周期约为5年;在所选变量中,产量、城镇人均可支配收入、海表温度和货币供应量对半滑舌鳎价格有显著影响。其中,半滑舌鳎价格长期下降趋势主要是由于半滑舌鳎产量成本的下降,而波动周期则主要受半滑舌鳎市场供需和养殖时间的影响。脉冲响应分析表明,影响因素与价格之间的关系是非线性的,导致半滑舌鳎价格的未来变化具有不确定性。为保持半滑舌鳎市场的稳定,建议建立半滑舌鳎价格预警系统和信息平台,以便更好地制定策略。

信息基础设施建设、养殖主体分化与生猪价格波动——基于多期双重差分模型的分析

长期以来,中国生猪价格呈现出周期性波动的显著特征。然而,信息对生猪价格波动产生的具体影响尚待深入探究。基于2011—2018年的省级面板数据,借助“宽带中国”战略这一自然实验设定,实证检验了信息基础设施建设对生猪价格波动的影响及作用机制。研究结果显示,信息基础设施建设是生猪价格波动的重要影响因素之一。随着信息基础设施建设水平的提升,养殖户对生猪价格的反应敏感性增强,且信息基础设施建设对生猪价格波动的影响呈现出加速的非线性特征。进一步的调节效应分析显示,养殖主体的分化现象加剧了信息基础设施建设对生猪价格波动的影响。异质性分析则发现,信息基础设施建设主要引发生猪价格的整体大幅波动和负向大幅波动,而对生猪价格的小幅波动和正向大幅波动的影响并不显著。基于上述研究结果,提出为养殖户提供风险管理工具等针对性的建议。

我国牛肉价格波动影响因素研究——基于VAR模型的实证分析

为保证牛肉价格合理稳定、推动牛肉市场持续健康发展,文章基于2011年12月—2022年12月中国畜牧业月度数据,以内部传导和外部冲击为视角,选取玉米价格、生产者预期、犊牛价格、国家政策构建VAR模型,实证检验我国牛肉价格波动影响因素及程度。结果显示,玉米价格、生产者预期、犊牛价格、国家政策均可对牛肉价格造成影响。其中,玉米价格可通过内部传导机制对我国牛肉价格波动产生显著影响,且稳定贡献率在8%左右;国家政策可通过外部冲击机制对我国牛肉价格波动形成显著影响,贡献率为15%;前期牛肉价格可显著影响后期牛肉市场价格。因此,文章提出降低肉牛产业饲料成本、加大肉牛产业政府财政支持力度、完善牛肉价格波动市场监管体系的建议,以期为稳定牛肉价格、促进畜牧产业可持续发展提供参考。

房价预期对经济波动影响——基于动态随机一般均衡模型的分析

从预期视角探究房价预期因素对经济波动的影响,构建包含房价预期的动态随机一般均衡模型,考察了单期和连续的正向房价预期冲击对经济变量的影响,分析了预期冲击下限购和限贷政策的调控效果。研究结果表明:房价单期预期冲击对经济波动产生的影响大于未预期房价冲击,并且居民预期形成越早,或居民房价看涨预期持续时间越长,经济波动会越剧烈;当居民持有看涨预期时,限贷政策在削弱经济波动的同时能遏制房价上涨,而限购政策失效。政府部门应当建立居民房价预期监测体系,将预期管理引入房价调控政策体系,有助于增强我国经济增长的平稳性和持续性。

猪肉收储政策对我国生猪市场价格波动的影响

猪肉收储政策作为民生商品储备体系的重要组成部分,是做好生猪和猪肉市场保供稳价工作的重要政策工具,对缓解我国生猪市场价格波动具有重要意义。文章基于我国2007—2022年30个省份数据,构建双重差分模型评估自2009年颁布《防止生猪价格过度下跌调控预案(暂行)》及之后一系列猪肉收储政策对我国生猪市场价格波动的影响。结果表明,在控制其他因素后,猪肉收储政策对我国生猪市场价格波动具有显著抑制作用,其作用程度约为0.041;猪肉收储政策对我国生猪市场价格波动的影响具有明显区域异质性,在东部地区该政策效果最强。文章主要考察了猪肉收储政策对生猪市场价格波动的影响,以期为合理控制生猪市场价格提供参考。

国际油价波动对制造业企业成本粘性的影响研究——基于风险管理视角的分析

基于企业风险管理视角,利用2002-2022年我国制造业企业面板数据,分析国际油价波动对制造业企业成本粘性的影响。研究发现,制造业企业为应对油价波动不确定性风险所采取的措施会使企业成本粘性降低;制造业企业可以通过增加保盈动机、抑制管理层乐观预期,使得企业成本粘性降低;油价波动所导致的企业成本粘性下降虽缓解了企业风险,但从长远看降低了劳动力资源配置效率,损害了企业长期发展的基础。