A decision support model to investigate the pandemic recovery challenges and strategies in the leather supply chain DOI Creative Commons
Md. Abdul Moktadir, Md. Rayhan Sarker, Taimur Sharif

et al.

Annals of Operations Research, Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 22, 2023

Abstract The COVID-19 has caused unprecedented disruptions to supply chains (SC) worldwide, posing numerous challenges for industries, particularly in the emerging economies (EE). These are undergoing a phase of recovery from pandemic devastations now, requiring investigation into (RCs) and propositions effective strategies (RSs) address RCs. Given this backdrop, study aims explore COVID-19-related RCs Bangladeshi leather industry build an integrated decision-making model formulate RSs counteract while seeks recover. This used Pareto analysis deduce lists nine most critical vital industry. also applied best worst method (BWM) identify long-term liquidity crisis increasing bankruptcy business stakeholders as urgent RCs, highlighting financial sustainability significant matter concern sector. With regard RSs, application fuzzy Technique Order Preference by Similarity Ideal Solution (TOPSIS) indicated need solve existing problems central effluent treatment plant (CETP) provisioning solid waste management facilities long run priorities make SC more financially operationally sustainable. formulated have managerial implications decision-makers reducing adversities hence improving performance Although not totally, these valuable insights during following periods can be generalized across other industries Bangladesh EE regions affected pandemic.

Language: Английский

Dynamic Dependence and Hedging of Stock Markets: Evidence From Time-Varying Copula With Asymmetric Markovian Models DOI
Wang Jia, MengChu Zhou, Xiwang Guo

et al.

IEEE Transactions on Computational Social Systems, Journal Year: 2024, Volume and Issue: 11(3), P. 3391 - 3406

Published: Feb. 5, 2024

To study the asymmetric jump behaviors of stock markets, we propose a novel autoregressive conditional intensity (ARJI)—generalized heteroskedasticity (GARCH) model with Markov chain. Compared existing models, it considers effects positive and negative shocks on volatilities. It is proposed to estimate volatilities markets in mainland China Hong Kong under different volatility regimes. Multiple time-varying copula models are used analyze dynamic dependences risks between two markets. Furthermore, construct hedging portfolios for their spot futures minimum risk ratios, measure performance. other benchmark results show that one has best fitting effect Chinese The correlations always positive. When constructing portfolios, superior which means introducing both normal into Markovian ARJI-GARCH can effectively improve performance portfolios. In addition, robustness test indicates our performs well robust.

Language: Английский

Citations

2

Price spillovers and interdependences in China’s agricultural commodity futures market: Evidence from the US-China trade dispute DOI
Xiangyu Chen, Jittima Tongurai

International Review of Economics & Finance, Journal Year: 2024, Volume and Issue: 96, P. 103579 - 103579

Published: Sept. 6, 2024

Language: Английский

Citations

2

Potential diversification benefits: A comparative study of Islamic and conventional stock market indexes DOI Creative Commons
Amél Belanès, Foued Saâdaoui, Mohammad Zoynul Abedin

et al.

Research in International Business and Finance, Journal Year: 2023, Volume and Issue: 67, P. 102098 - 102098

Published: Sept. 11, 2023

The study aims to contribute the better understanding of potential diversification benefits for US and its major trading partners, namely Canada, Japan, UK, across both Islamic conventional indexes. We applied a Dynamic Conditional Correlations (DCC) model examine dynamic correlation volatility returns during 2001-2017. findings put in evidence that, unlike Canadian peers, Japanese indexes exhibit low with indexes, which ultimately suggests opportunities US-based investors. Understanding volatilities correlations patterns through international markets would help investors, policymakers, market participants take informed decisions, mitigate risks, anticipate spillover effects.

Language: Английский

Citations

5

Data-driven decision making for modelling covid-19 and its implications: A cross-country study DOI
Görkem Sarıyer, Sachin Kumar Mangla, Yiğit Kazançoğlu

et al.

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 197, P. 122886 - 122886

Published: Oct. 3, 2023

Language: Английский

Citations

5

A decision support model to investigate the pandemic recovery challenges and strategies in the leather supply chain DOI Creative Commons
Md. Abdul Moktadir, Md. Rayhan Sarker, Taimur Sharif

et al.

Annals of Operations Research, Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 22, 2023

Abstract The COVID-19 has caused unprecedented disruptions to supply chains (SC) worldwide, posing numerous challenges for industries, particularly in the emerging economies (EE). These are undergoing a phase of recovery from pandemic devastations now, requiring investigation into (RCs) and propositions effective strategies (RSs) address RCs. Given this backdrop, study aims explore COVID-19-related RCs Bangladeshi leather industry build an integrated decision-making model formulate RSs counteract while seeks recover. This used Pareto analysis deduce lists nine most critical vital industry. also applied best worst method (BWM) identify long-term liquidity crisis increasing bankruptcy business stakeholders as urgent RCs, highlighting financial sustainability significant matter concern sector. With regard RSs, application fuzzy Technique Order Preference by Similarity Ideal Solution (TOPSIS) indicated need solve existing problems central effluent treatment plant (CETP) provisioning solid waste management facilities long run priorities make SC more financially operationally sustainable. formulated have managerial implications decision-makers reducing adversities hence improving performance Although not totally, these valuable insights during following periods can be generalized across other industries Bangladesh EE regions affected pandemic.

Language: Английский

Citations

4