market noise
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Author(s):  
L. Sasha Gora

Visitors consume Venice’s Mercato di Rialto most often with their eyes and cameras. Venetians, in contrast, consume it with their mouths. During the week they voice their orders gently, but on Saturday mornings shopping lists become full-volume announcements that compete against the market noise. By analysing the history and role of the Pescheria at Rialto Market and its culinary and cultural representations, this article considers the entanglement between seafood and people, ice and freshness, and life and lunch.


2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Zhu Jufang

From the cross perspective of communication science and administration management, based on complex network theory, this paper constructs a model of stock price fluctuation risk contagion, which comprehensively considers media sentiment and government supervision strategy, and deeply analyzes the contagion mechanism of stock price fluctuation risk under the interaction of media sentiment and government supervision strategy. The main conclusions are as follows: The stock association network established by random way is more likely to cause contagion of stock price fluctuation risk. Media sentiment tendency, media sentiment intensity, and media attention persistence have positive “U” relationship, inverted “U” relationship, and positive correlation with contagion intensity of stock price fluctuation risk, respectively. There is a negative correlation between the strength, persistence, and timeliness of government supervision and the contagion intensity of stock price fluctuation risk. There is a positive correlation between market noise and contagion intensity of stock price fluctuation risk, and market noise has a restraining effect on media sentiment and government supervision strategy. In addition, the stock price fluctuation risk is inherent risk in the stock market, which cannot be eliminated by adjusting media sentiment and government supervision strategy, but its contagion intensity can be effectively controlled.


In this paper, smart volume controller (SVC) using fuzzy logic is developed for mobile phones in order to improve the voice quality in the presence of background noise. The SVC uses the noise level and class information as an input to automatically raise the volume of the cell phone in the presence of background noise. Smart volume controller mainly consists of two stages: (i) Noise Classification, (ii) Fuzzy Volume Controller. Noise classification includes feature extraction and feature matching using artificial neural network classifier to differentiate between different types of noise classes. The maximum noise attenuation level of up to 55db was achieved while experimenting with the four different types of noises such as car noise, market noise, office noise, and train noise using the proposed volume controller that seems to be quite satisfactory.


Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Tingqiang Chen ◽  
Binqing Xiao ◽  
Haifei Liu

We introduce an evolving network model of credit risk contagion in the credit risk transfer (CRT) market. The model considers the spillover effects of infected investors, behaviors of investors and regulators, emotional disturbance of investors, market noise, and CRT network structure on credit risk contagion. We use theoretical analysis and numerical simulation to describe the influence and active mechanism of the same spillover effects in the CRT market. We also assess the reciprocal effects of market noises, risk preference of investors, and supervisor strength of financial market regulators on credit risk contagion. This model contributes to the explicit investigation of the connection between the factors of market behavior and network structure. It also provides a theoretical framework for considering credit risk contagion in an evolving network context, which is greatly relevant for credit risk management.


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