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Article
Publication date: 1 June 2023

Ijaz Younis, Imran Yousaf, Waheed Ullah Shah and Cheng Longsheng

The authors examine the volatility connections between the equity markets of China and its trading partners from developed and emerging markets during the various crises episodes…

153

Abstract

Purpose

The authors examine the volatility connections between the equity markets of China and its trading partners from developed and emerging markets during the various crises episodes (i.e. the Asian Crisis of 1997, the Global Financial Crisis, the Chinese Market Crash of 2015 and the COVID-19 outbreak).

Design/methodology/approach

The authors use the GARCH and Wavelet approaches to estimate causalities and connectedness.

Findings

According to the findings, China and developed equity markets are connected via risk transmission in the long term across various crisis episodes. In contrast, China and emerging equity markets are linked in short and long terms. The authors observe that China leads the stock markets of India, Indonesia and Malaysia at higher frequencies. Even China influences the French, Japanese and American equity markets despite the Chinese crisis. Finally, these causality findings reveal a bi-directional causality among China and its developed trading partners over short- and long-time scales. The connectedness varies across crisis episodes and frequency (short and long run). The study's findings provide helpful information for portfolio hedging, especially during various crises.

Originality/value

The authors examine the volatility connections between the equity markets of China and its trading partners from developed and emerging markets during the various crisis episodes (i.e. the Asian Crisis of 1997, the Global Financial Crisis, the Chinese Market Crash of 2015 and the COVID-19 outbreak). Previously, none of the studies have examined the connectedness between Chinese and its trading partners' equity markets during these all crises.

Details

International Journal of Emerging Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-8809

Keywords

Article
Publication date: 9 January 2023

Leilei Shi, Xinshuai Guo, Andrea Fenu and Bing-Hong Wang

This paper applies a volume-price probability wave differential equation to propose a conceptual theory and has innovative behavioral interpretations of intraday dynamic market…

575

Abstract

Purpose

This paper applies a volume-price probability wave differential equation to propose a conceptual theory and has innovative behavioral interpretations of intraday dynamic market equilibrium price, in which traders' momentum, reversal and interactive behaviors play roles.

Design/methodology/approach

The authors select intraday cumulative trading volume distribution over price as revealed preferences. An equilibrium price is a price at which the corresponding cumulative trading volume achieves the maximum value. Based on the existence of the equilibrium in social finance, the authors propose a testable interacting traders' preference hypothesis without imposing the invariance criterion of rational choices. Interactively coherent preferences signify the choices subject to interactive invariance over price.

Findings

The authors find that interactive trading choices generate a constant frequency over price and intraday dynamic market equilibrium in a tug-of-war between momentum and reversal traders. The authors explain the market equilibrium through interactive, momentum and reversal traders. The intelligent interactive trading preferences are coherent and account for local dynamic market equilibrium, holistic dynamic market disequilibrium and the nonlinear and non-monotone V-shaped probability of selling over profit (BH curves).

Research limitations/implications

The authors will understand investors' behaviors and dynamic markets through more empirical execution in the future, suggesting a unified theory available in social finance.

Practical implications

The authors can apply the subjects' intelligent behaviors to artificial intelligence (AI), deep learning and financial technology.

Social implications

Understanding the behavior of interacting individuals or units will help social risk management beyond the frontiers of the financial market, such as governance in an organization, social violence in a country and COVID-19 pandemics worldwide.

Originality/value

It uncovers subjects' intelligent interactively trading behaviors.

Details

China Finance Review International, vol. 13 no. 4
Type: Research Article
ISSN: 2044-1398

Keywords

Article
Publication date: 15 December 2021

Muhammad Zaheer Hashim, Liu Chao and Chao Wang

Steered by upper echelon theory, this study aims to scrutinize the prevalence of project manager demographic factors (age, education and experience) in project sustainability…

Abstract

Purpose

Steered by upper echelon theory, this study aims to scrutinize the prevalence of project manager demographic factors (age, education and experience) in project sustainability management and project performance.

Design/methodology/approach

We used a sample of 209 project managers/supervisor/team leaders who were working in the projects of the China-Pakistan Economic Corridor (CPEC).

Findings

The results indicate that project manager demographic factors have a significant influence on project performance (except experience) and project sustainability management. Moreover, project sustainability management partially mediates the relationship between age, education and project performance while it fully mediates the path between experience and project performance.

Practical implications

The research recommends senior, high educated and experienced managers for CPEC who promote sustainability and gain high project performance.

Originality/value

A number of studies have been carried out to assess the relationship between top managers’ attributes and environmental activities. However, so far, none of the studies has paid attention to the CPEC and projects working in Pakistan.

Details

Chinese Management Studies, vol. 16 no. 3
Type: Research Article
ISSN: 1750-614X

Keywords

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