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Article
Publication date: 24 December 2021

Xunfa Lu, Cheng Liu, Kin Keung Lai and Hairong Cui

The purpose of the paper is to better measure the risks and volatility of the Bitcoin market by using the proposed novel risk measurement model.

282

Abstract

Purpose

The purpose of the paper is to better measure the risks and volatility of the Bitcoin market by using the proposed novel risk measurement model.

Design/methodology/approach

The joint regression analysis of value at risk (VaR) and expected shortfall (ES) can effectively overcome the non-elicitability problem of ES to better measure the risks and volatility of financial markets. And because of the incomparable advantages of the long- and short-term memory (LSTM) model in processing non-linear time series, the paper embeds LSTM into the joint regression combined forecasting framework of VaR and ES, constructs a joint regression combined forecasting model based on LSTM for jointly measuring VaR and ES, i.e. the LSTM-joint-combined (LSTM-J-C) model, and uses it to investigate the risks of the Bitcoin market.

Findings

Empirical results show that the proposed LSTM-J-C model can improve forecasting performance of VaR and ES in the Bitcoin market more effectively compared with the historical simulation, the GARCH model and the joint regression combined forecasting model.

Social implications

The proposed LSTM-J-C model can provide theoretical support and practical guidance to cryptocurrency market investors, policy makers and regulatory agencies for measuring and controlling cryptocurrency market risks.

Originality/value

A novel risk measurement model, namely LSTM-J-C model, is proposed to jointly estimate VaR and ES of Bitcoin. On the other hand, the proposed LSTM-J-C model provides risk managers more accurate forecasts of volatility in the Bitcoin market.

Details

Kybernetes, vol. 52 no. 4
Type: Research Article
ISSN: 0368-492X

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Publication date: 2 May 2018

Deborah Naybor

Women from many cultures have historically been closely tied to the land and the environment through their role as subsistence farmers. But as the more developed nations have…

Abstract

Women from many cultures have historically been closely tied to the land and the environment through their role as subsistence farmers. But as the more developed nations have shifted to commercial agriculture and improved technology, farming has become a male-dominated industry. China’s shift from traditional family-operated farms to government-controlled collectives required a system of incentives to encourage agricultural labor to remain and prevent mass exodus to the cities. Hukou was created in the 1950s as a system of governmental registration for restricting the internal migration of labor within China, identifying citizens’ residency by place of birth. Residents of rural or urban locations are classified agricultural or nonagricultural labor, respectively. But as China’s industrialization has grown and technology has reduced the need for human agricultural labor, the need and desire for urban employment has intensified. For women, relocating has changed marriage practices, influenced child rearing, and altered their right to land tenure in their home region. This paper examines the role of gender in the changing use of hukou in the development of China, focusing on the impact of women’s patterns of migration on land tenure. Although hukou policies are still changing and there is a lack of data on the most recent changes, initial studies show that there are few who wish to give up their rural hukou in order to obtain urban hukou. Changes over the past decade indicate that rural woman are not only taking on more of the agricultural workload as men are drawn to urban employment, but also that they are less likely to care about environmental degradation in China.

Details

Environment, Politics, and Society
Type: Book
ISBN: 978-1-78714-775-1

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Article
Publication date: 23 January 2025

Ningning Cui and Jianyu Zhang

The profound impact of the COVID-19 pandemic on the film industry has underscored the growing significance of online movies. However, there is limited research available on the…

11

Abstract

Purpose

The profound impact of the COVID-19 pandemic on the film industry has underscored the growing significance of online movies. However, there is limited research available on the factors that influence the viewership of online films. Therefore, this study aims to use the signaling theory to investigate how signals of varying qualities affect online movie viewership, considering both signal transmission costs and prices.

Design/methodology/approach

This study uses a sample of 1,071 online movies released on the iQiyi from July 2020 to July 2022. It uses OLS regression and instrumental variable method to examine the impact of various quality indicators on the viewership of online movies, as well as the moderating effect of price.

Findings

After conducting a thorough analysis of this study, it can be deduced that the varying impacts on online movie viewership are attributed to disparities in signal transmission costs. Specifically, star influence and rating exhibit a positive effect on the viewership of online movies, whereas the number of raters has a detrimental impact. Furthermore, there exists an “inverted U-shaped” relationship between the number of reviews and online movie viewership. Additionally, within the consumer decision-making process, both price-cost and price-quality relationships coexist. This is evident as prices negatively affect online movie viewership but positively moderate the relationship between rating, number of reviews and online movie viewership.

Originality/value

The research findings of this study offer valuable insights for online film producers to effectively leverage quality signals and pricing, thereby capturing market attention and enhancing film profitability.

Details

Nankai Business Review International, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-8749

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Article
Publication date: 11 May 2015

Seokmo Gu, Aria Seo and Yei-chang Kim

The purpose of this paper is a transcoding system based on a virtual machine in a cloud computing environment. There are many studies about transmitting realistic media through a…

790

Abstract

Purpose

The purpose of this paper is a transcoding system based on a virtual machine in a cloud computing environment. There are many studies about transmitting realistic media through a network. As the size of realistic media data is very large, it is difficult to transmit them using current network bandwidth. Thus, a method of encoding by compressing the data using a new encoding technique is necessary. The next-generation encoding technique high-efficiency video coding (HEVC) can encode video at a high compressibility rate compared to the existing encoding techniques, MPEG-2 and H.264. Yet, encoding the information takes at least ten times longer than existing encoding techniques.

Design/methodology/approach

This paper attempts to solve the tome problem using a virtual machine in a cloud computing environment.

Findings

In addition, by calculating the transcoding time of the proposed technique, it found that the time was reduced compared to existing techniques.

Originality/value

To this end, this paper proposed transcoding appropriate for the transmission of realistic media by dynamically allocating the resources of the virtual machine.

Details

Journal of Systems and Information Technology, vol. 17 no. 2
Type: Research Article
ISSN: 1328-7265

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