Purpose The purpose of this paper is to explore the impact product information on impulse purchases in a cross-border electronic commerce (CBEC) setting from perspective cue stimulation. Design/methodology/approach This study proposes research model CBEC based utilization theory and Stimulus-Organism-Response (S-O-R) model. was tested using covariance-based structural equation modelling. Data were collected consumers popular platform China. Findings A high-quality description has significant...

Purpose This paper aims to the relationship between liquidity fluctuation trends and stocks’ expected returns. Design/methodology/approach The authors use multi-fractal detrended analysis study non-linear characteristics of stock market predict future volatility trend with help potential entropy dimensional model also consider liquidity, construct a fractal momentum strategy under different sorting periods holding periods, test effects Chinese and, finally, compare traditional price...

With the advent of era big datasets, real-time data is becoming increasingly important in assisting decision making process for commercial banks.In this paper, we develop a two-step optimization model (FSGA-FCEN) based on genetic algorithm (GA) and cluster ensemble (CE) customer segmentation.Firstly, key attributes are selected using GA.Then FCEN used to segment customers into small groups.Taking 3544 bank as samples, empirical results show that, compared with K-means, FCM MAJ models, an...

In recent years, many institutional investors use algorithmic trading to complete their investment decisions.This method reduces the transaction costs, improves return.Algorithmic is a new mode.This paper introduces and development process, presents process of transactions reviews latest research literatures strategy, portfolio selection.Based on present current situation in our country, this develops application suggestion for trading.

Abstract In recent years, the extreme risk events occurred frequently in financial market have not only brought huge losses to investors and inflicted heavy on market, but also posed a severe challenge for traditional effective hypothesis. These are often accompanied by sudden plummeting of liquidity. Different from efficient hypothesis(EMT), firstly, this paper studies nonlinear fluctuation characteristics causes contracts with different maturity periods China stock index futures under...

This paper develops a fuzzy clustering method based on the t-norm, and uses data of China securities market to analyze factors influencing portfolio selection.Furthermore, this estimates an investment clustering.The results show that investor can learn feature securities.This is very important for selection.

This paper develops a two-step clustering method, and uses the data of China securities market to analyze factors influencing portfolio selection, constructing an investment based on this method.The results show that performance method is better than traditional mean-variance model.The indicate very important for selection.

For a secondary supply chain consisting of supplier and two competing retailers, freshness spoilage rate, competitive behavior market capacity constraint are introduced into the traditional demand-substitution model. Under different preservation methods such as chilling freezing, Gounod double oligopoly game conspiracy competition models between retailers constructed with benchmark centralized decision-making. The optimal sales price ordering decision secured, influence volume, deterioration...

Micro-business has developed rapidly in recent years.The WeChat business credit problem is becoming more and important.In this paper, we study on the problem, analyze influence of factors credit.Relevant results provide a basis for establishment business's credibility evaluation system, develop suggestion to solve promote development.