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Xuluo Yin
School of Finance, Hunan University of Technology and Business, 410205, Changsha, China

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Journal article
Published: 22 April 2021 in Computers & Operations Research
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By considering the market competition among retailers, the object of this study is to measure the bullwhip effect in a two-stage supply chain with one supplier and multiple retailers. A model is detailed for measuring the bullwhip effect in which multiple retailers exhibit AR(1) demand processes and the degree of market competition is captured with copula. Through the model developed in this paper, we use simulation methods to study the influence of market competition on the bullwhip effect. The simulation results show that the market competition has a significant impact on bullwhip effect. The influence of the types of copulas on the bullwhip effect remains stable as the lead time increases. The supply chain structure has an impact on the bullwhip effect. The results of the empirical application show that a suitable copula helps to improve prediction accuracy for the bullwhip effect. Moreover, we discuss how our study can be applied to bullwhip effect management.

ACS Style

Xuluo Yin. Measuring the bullwhip effect with market competition among retailers: A simulation study. Computers & Operations Research 2021, 132, 105341 .

AMA Style

Xuluo Yin. Measuring the bullwhip effect with market competition among retailers: A simulation study. Computers & Operations Research. 2021; 132 ():105341.

Chicago/Turabian Style

Xuluo Yin. 2021. "Measuring the bullwhip effect with market competition among retailers: A simulation study." Computers & Operations Research 132, no. : 105341.

Journal article
Published: 01 May 2019 in Sustainability
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It is necessary to analyze the relationship between financial inclusion and circumstances-monetary policy and economic fundamentals, which has a practical reference value for policy makers. This paper studies the impact of the circumstances on financial inclusion factors by using a vector autoregressive method. Empirical results show that monetary policy has a short-term positive impact on financial inclusion factors, while the economic fundamental has the opposite, which means that the positive monetary policy promote the development of financial inclusion in the short term and the sudden change of the economic situation will make it harder. Based on the data of the World Bank and the situation of China, we make an analysis and comparison of the empirical results, and draw two implications: first, the sustainable development of financial inclusion needs a suitable circumstance; second, the appropriate coordination and mutual facilitation of economic fundamentals and finance is conducive to the sustainable development of financial inclusion.

ACS Style

Xuluo Yin; Xuan Xu; Qi Chen; Jiangang Peng. The Sustainable Development of Financial Inclusion: How Can Monetary Policy and Economic Fundamental Interact with It Effectively? Sustainability 2019, 11, 2524 .

AMA Style

Xuluo Yin, Xuan Xu, Qi Chen, Jiangang Peng. The Sustainable Development of Financial Inclusion: How Can Monetary Policy and Economic Fundamental Interact with It Effectively? Sustainability. 2019; 11 (9):2524.

Chicago/Turabian Style

Xuluo Yin; Xuan Xu; Qi Chen; Jiangang Peng. 2019. "The Sustainable Development of Financial Inclusion: How Can Monetary Policy and Economic Fundamental Interact with It Effectively?" Sustainability 11, no. 9: 2524.

Journal article
Published: 09 February 2018 in Sustainability
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Currently, oil is the key element of energy sustainability, and its prices and economy have a strong mutual influence. Modeling a good method to accurately predict oil prices over long future horizons is challenging and of great interest to investors and policymakers. This paper forecasts oil prices using many predictor variables with a new time-varying weight combination approach. In doing so, we first use five single-variable time-varying parameter models to predict crude oil prices separately. Second, every special model is assigned a time-varying weight by the new combination approach. Finally, the forecasting results of oil prices are calculated. The results show that the paper’s method is robust and performs well compared to random walk.

ACS Style

Xuluo Yin; Jiangang Peng; Tian Tang. Improving the Forecasting Accuracy of Crude Oil Prices. Sustainability 2018, 10, 454 .

AMA Style

Xuluo Yin, Jiangang Peng, Tian Tang. Improving the Forecasting Accuracy of Crude Oil Prices. Sustainability. 2018; 10 (2):454.

Chicago/Turabian Style

Xuluo Yin; Jiangang Peng; Tian Tang. 2018. "Improving the Forecasting Accuracy of Crude Oil Prices." Sustainability 10, no. 2: 454.