Heterogeneous Institutional Investors, Short Selling and Stock Price Crash Risk: Evidence from China

Wen, Fenghua; Xu, Longhao; Chen, Bin; Xia, Xiaohua; Li, Jinyi

doi:10.1080/1540496x.2018.1522588

Cited by 50 publications

(20 citation statements)

References 44 publications

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“…the advantages of self-adaptation and self-organization and can make decisions in approximate and uncertain data [16], eliminating the process of artificially calculating weights and relevant coefficients. BP network is used as the evaluation method of performance evaluation index system of landscape simulation system to improve the efficiency of performance evaluation [17].…”

Section: Evaluation Method Backpropagation (Bp) Network Hasmentioning

confidence: 99%

Interactive Application of Virtual Reality and Intelligent Big Data in Landscape Design

Zhan

2021

Security and Communication Networks

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In order to improve the accuracy and efficiency of performance evaluation, the interactive application of virtual reality and intelligent big data in landscape design is proposed. Clara algorithm is used to mine the performance evaluation index data of landscape simulation design. The performance evaluation index system of landscape simulation system is established based on the data mined. BP network is used to build a comprehensive evaluation model. The expert scoring method is the evaluation index system scoring, which is used as the input of BP network, and the expected output is a neuron. The value of the neuron represents the comprehensive performance evaluation value of the landscape simulation system. The experimental results show that the evaluation results of the research method are consistent with the expert evaluation results, with high accuracy; with the increasing number of systems, the evaluation efficiency of the research method is faster.

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Section: Evaluation Method Backpropagation (Bp) Network Hasmentioning

confidence: 99%

Interactive Application of Virtual Reality and Intelligent Big Data in Landscape Design

Zhan

2021

Security and Communication Networks

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“…According to the visual communication characteristics, the pixels in the same gray level are sorted according to the following rules [17].…”

Section: Impressionist Painting Color Enhancedmentioning

confidence: 99%

Research on the Performance of Impressionist Painting Color Visual Communication Based on Wireless Communication and Machine Vision

Lin

2021

Security and Communication Networks

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In order to solve the problem of poor visual communication effect of impressionist painting colors and low accuracy of painting color enhancement by existing methods, this thesis proposes a research on the performance of impressionist painting color visual communication based on machine vision under the background of wireless network. This method can improve the vision, speed, and efficiency of communication, through the analysis of the characteristics of impressionist paintings, and determine the visual communication objects of impressionist painting colors. The process of visual communication is analyzed, and the color matching of impressionist painting is completed with the help of BP neural network algorithm. On this basis, the histogram method is used to process the image brightness of impressionist paintings, the image interpolation method is used to process the image brightness of impressionist paintings, and the image is corrected by gamma correction to complete the image performance research. The color vision communication of impressionist painting needs to correct the gray scale error of impressionist painting and enhance the color of impressionist painting. The experimental results show that the accuracy of this method for the color matching of impressionist painting images is about 98%, which has a certain degree of credibility.

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“…Following Kim, Fu, and Wen, this paper used the negative coefficient of skewness (NCSKEW) and downto-up volatility (DUVOL) to measure stock price crash risk. [9][10] [11] Firstly, the weekly return data of stock was regressed:…”

Section: Dependent Variablementioning

confidence: 99%

Investor Attention, Analyst Optimism, and Stock Price Crash Risk

Shi

2021

PBES

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This paper used the A-shares listed companies in China as samples, constructed a comprehensive indicator of investor attention, and conducted an empirical analysis on the correlations among investor attention, analyst optimism, and stock price crash risk. The results indicated that investor attention aggravates the stock price crash risk and has a positive effect on analyst optimism. Meanwhile, the analyst optimism plays a mediating role in the positive correlation between investor attention and stock price crash risk. In addition to that, institutional investor attention also has direct and indirect effects on the crash risk.

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Heterogeneous Institutional Investors, Short Selling and Stock Price Crash Risk: Evidence from China

Cited by 50 publications

References 44 publications

Interactive Application of Virtual Reality and Intelligent Big Data in Landscape Design

Interactive Application of Virtual Reality and Intelligent Big Data in Landscape Design

Research on the Performance of Impressionist Painting Color Visual Communication Based on Wireless Communication and Machine Vision

Investor Attention, Analyst Optimism, and Stock Price Crash Risk

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